INTRODUCTION

Many studies have examined the health problems among survivors of disasters, showing that the most frequently reported symptoms after disasters are mental health problems, such as posttraumatic stress symptoms, depression, and anxiety (1, 2).

In the last decade, the Netherlands was struck by a few national disasters. On October 4, 1992, an El Al Boeing 747 airplane crashed into two apartment buildings in an Amsterdam suburb. Six years after the airplane crash, a study of the health effects of the crash was conducted. This study showed that, in addition to mental health problems, physical symptoms were very prevalent among the survivors of the plane crash (3, 4). On May 13, 2000, a fireworks depot exploded in a residential area of the city of Enschede. The explosions and subsequent fire killed 22 people and injured over 900 people, and about 500 homes were severely damaged or destroyed. The Dutch government declared this a national disaster, and the Ministry of Health, Welfare, and Sports decided to launch a study into the health effects of this disaster. This study showed that a substantial proportion of those who were affected by the fireworks disaster suffered from physical symptoms, such as headache, fatigue, and pain in the stomach, chest, joints, and muscles (5, 6). These symptoms are often labeled as medically unexplained physical symptoms (MUPS), but other labels, such as psychosomatic symptoms or functional somatic syndromes, have been given as well (7).

Survivors of disasters may attribute these physical symptoms to (suspected) exposure to toxic substances, and this may lead to social unrest and amplification of the health problems (8, 9). For example, after the Bijlmermeer airplane crash in Amsterdam, many survivors reported health symptoms that they attributed to possible toxic exposures, such as depleted uranium (3). General practitioners, however, associated only a small proportion (about 20 percent) of the most frequently reported symptoms with a diagnosis, and thus the majority of symptoms were unexplained (4).

In the nontraumatized general population, MUPS are also very common, with reported prevalence rates ranging from 5 to 35 percent (10, 11). The majority of these symptoms cannot be explained by a medical diagnosis; general population studies have shown that the etiology of 30–75 percent of such symptoms as headache, fatigue, and stomachache is unknown (10, 12, 13).

After disasters, the prevalence rates of MUPS seem to increase. However, since many but not all survivors develop these symptoms, the question arises as to which factors predict who will or will not develop MUPS. Mayou and Farmer (14) divided risk factors into three categories: predisposing, precipitating, and perpetuating factors (which we call the “3-P model”). Predisposing factors are factors that already exist before the disaster took place, such as certain demographic characteristics and personality factors. Precipitating factors are directly related to the disaster, for example, injury, relocation, fear, and loss of property. These factors might increase the proportion of survivors that develops MUPS. After the disaster, perpetuating factors, for example, the coping style of the survivor and lack of social support, are factors that might maintain or exacerbate the symptoms (figure 1).

FIGURE 1.

Predisposing, precipitating, and perpetuating factors for medically unexplained physical symptoms (MUPS).

Since MUPS are associated with impaired emotional and physical functioning (15, 16), it is useful to identify risk factors that clinicians can use for early screening of MUPS after disasters. More insight into the prevalence rates of and risk factors for MUPS may help clinicians and policy makers to predict symptom outcomes and to optimize aftercare. To get more insight into the prevalence rate of and risk factors for MUPS after disasters, we reviewed the literature that was published in the last two decades. There are two central questions in this review: 1) What is the prevalence rate of MUPS among survivors of disasters at different points in time? and 2) which factors are associated with MUPS among survivors of disasters?

METHOD

To answer these questions, we reviewed the literature that was published between January 1983 and December 2003. We searched the electronic databases PubMed (US National Library of Medicine, Bethesda, Maryland), PsychInfo (American Psychological Association, Washington, DC), Embase (Elsevier B.V., Amsterdam, the Netherlands), Biosis (The Thomson Corporation, Stamford, Connecticut), Psyndex (German Institute of Medical Documentation and Information, Cologne, Germany), and SciSearch (Institute for Scientific Information, The Thomson Corporation, Stamford, Connecticut) without any language restriction. The keywords that were used in the searches are shown in table 1. We extended the search by examining the bibliographies of identified review articles and by searching private databases that were available at different research institutes in the Netherlands.

TABLE 1.

Key search terms


Symptoms

Medically unexplained symptom* (MUS), medically unexplained physical symptom* (MUPS), somatic disorder*, psychosomatic symptom*, psychosomatic complaint*, somatic symptom*, somatic complaint*, physical symptom*, physical complaint*, somatization, functional somatic symptom*, stress disorder*, posttraumatic stress disorder*, signs and symptoms, distress, morbidity, health, stress
AND
DisasterDisaster*, life event*, traumatic event*, environ mental exposure, NOT disaster planning
AND
Design
Cross-sectional, prospective, case-control, cohort, causality, risk, determinant*, predict*

Symptoms

Medically unexplained symptom* (MUS), medically unexplained physical symptom* (MUPS), somatic disorder*, psychosomatic symptom*, psychosomatic complaint*, somatic symptom*, somatic complaint*, physical symptom*, physical complaint*, somatization, functional somatic symptom*, stress disorder*, posttraumatic stress disorder*, signs and symptoms, distress, morbidity, health, stress
AND
DisasterDisaster*, life event*, traumatic event*, environ mental exposure, NOT disaster planning
AND
Design
Cross-sectional, prospective, case-control, cohort, causality, risk, determinant*, predict*
*

An asterisk was placed at the end of some words to search for all terms that begin with that word.

TABLE 1.

Key search terms


Symptoms

Medically unexplained symptom* (MUS), medically unexplained physical symptom* (MUPS), somatic disorder*, psychosomatic symptom*, psychosomatic complaint*, somatic symptom*, somatic complaint*, physical symptom*, physical complaint*, somatization, functional somatic symptom*, stress disorder*, posttraumatic stress disorder*, signs and symptoms, distress, morbidity, health, stress
AND
DisasterDisaster*, life event*, traumatic event*, environ mental exposure, NOT disaster planning
AND
Design
Cross-sectional, prospective, case-control, cohort, causality, risk, determinant*, predict*

Symptoms

Medically unexplained symptom* (MUS), medically unexplained physical symptom* (MUPS), somatic disorder*, psychosomatic symptom*, psychosomatic complaint*, somatic symptom*, somatic complaint*, physical symptom*, physical complaint*, somatization, functional somatic symptom*, stress disorder*, posttraumatic stress disorder*, signs and symptoms, distress, morbidity, health, stress
AND
DisasterDisaster*, life event*, traumatic event*, environ mental exposure, NOT disaster planning
AND
Design
Cross-sectional, prospective, case-control, cohort, causality, risk, determinant*, predict*
*

An asterisk was placed at the end of some words to search for all terms that begin with that word.

For the selection of the papers, we used four inclusion criteria: a disaster criterion, a subject criterion, a MUPS criterion, and a report criterion. A disaster was defined as a collective stressful experience with a sudden onset. With this definition, publications about natural disasters (e.g., hurricanes, volcanic eruptions) and man-made disasters (e.g., Three Mile Island accident, aircraft disasters) were included, while studies examining survivors of individual traumatic events, such as sexual assault and traffic accidents, were excluded. Although war situations are traumatic and stressful as well, studies about war veterans, survivors of wars, and refugees were excluded because the threat of war and the intention to harm make wartime exposure different from disaster exposure. Subjects had to be directly exposed to the disaster themselves (subject criterion). People with close family and personal ties to the primary victims and people whose occupations require them to respond to the disaster, such as relief workers, were excluded. Relief workers were omitted because they are mostly healthy young men who are selected on the basis of their physical and emotional functioning. In addition, most relief workers are trained to cope with stressful situations, and therefore they may react differently from citizens. The MUPS criterion implied that one or more symptoms from a MUPS cluster, based on the International Classification of Primary Care as developed by one of the authors (J. Y.), had to be measured (table 2). These symptoms could be measured by self-constructed questionnaires or by validated scales, such as the Symptom Checklist (SCL-90). Although a medical disorder cannot be ruled out for these symptoms, an increase at the population level of these symptoms among survivors of disasters, compared with levels that are found in the general population or a control group, may be assumed to be disaster related. In addition, studies reporting symptoms that were clearly the result of exposure to toxic substances, for example, eye irritation and respiratory symptoms after the Bhopal gas leak (17), were excluded from this review. To examine prevalence rates of MUPS among survivors of disasters, we included different types of studies (report criterion). First, we included studies that reported percentages of MUPS among survivors of disasters. Second, we included studies that reported about a percentage of survivors scoring above a standardized cutoff score. Since cutoff scores are based on scores in a normative population (e.g., those with a score above the 90th percentile have a high score), a control group was not required for these studies. Third, studies were included that reported a mean score on a MUPS scale. For these studies, a control group was required to compare the mean score of survivors with that of control subjects. In addition to these studies that reported about the prevalence of MUPS, we also included studies that did not report about prevalence rates but that did report about risk factors for MUPS.

TABLE 2.

Medically unexplained physical symptom cluster based on the International Classification of Primary Care


Pain general/multiple sites

Swollen ankles/edema

Disturbance smell/taste
ChillsNeck symptoms/complaintsVertigo/dizziness
Weakness/tiredness generalBack symptoms/complaintsNeurologic symptom/complaint other neurologic system
Feeling illLow back symptoms/complaints without radiationPain respiratory system
Fainting/syncopeChest symptom/complaintShortness of breath/dyspnea
SwellingBack symptom/complaintWheezing
Sweating problemLow back symptom/complaintBreathing problem, other
Abdominal pain/cramps generalChest symptom/complaintCough
Abdominal pain epigastricFlank/axilla symptom/complaintSneezing/nasal congestion
HeartburnJaw symptom/complaintNose symptom/complaint other
Rectal/anal painShoulder symptom/complaintSinus symptom/complaint
Perianal itchingArm symptom/complaintThroat symptom/complaint
Abdominal pain localized otherElbow symptom/complaintTonsils symptom/complaint
Flatulence/gas/belchingWrist symptom/complaintVoice symptom/complaint
NauseaHand/finger symptom/complaintRespiratory symptom/complaint other respiratory system
VomitingHip symptom/complaintPain/tenderness of skin
DiarrheaLeg/thigh symptom/complaintPruritus
ConstipationKnee symptom/complaintSkin symptom/complaint other
Abdominal distentionAnkle symptom/complaintExcessive thirst
Digestive symptoms/complaints on other digestive organsFoot and toe symptom/complaintExcessive appetite
Eye sensation abnormalMuscle painLoss of appetite
Tinnitus/ringing/buzzing earsMuscle symptom/complaint, not otherwise specifiedDysuria/painful urination
Heart painJoint symptoms/complaintUrinary frequency/urgency
Pressure/tightness of heartHeadacheGenital pain female
Cardiovascular pain, not otherwise specifiedTension headacheMenstrual pain
Palpitations/awareness of heartPain facePain in penis
Irregular heartbeat, otherRestless legsPain in testis/scrotum
Prominent veins
Tingling fingers/feet/toes


Pain general/multiple sites

Swollen ankles/edema

Disturbance smell/taste
ChillsNeck symptoms/complaintsVertigo/dizziness
Weakness/tiredness generalBack symptoms/complaintsNeurologic symptom/complaint other neurologic system
Feeling illLow back symptoms/complaints without radiationPain respiratory system
Fainting/syncopeChest symptom/complaintShortness of breath/dyspnea
SwellingBack symptom/complaintWheezing
Sweating problemLow back symptom/complaintBreathing problem, other
Abdominal pain/cramps generalChest symptom/complaintCough
Abdominal pain epigastricFlank/axilla symptom/complaintSneezing/nasal congestion
HeartburnJaw symptom/complaintNose symptom/complaint other
Rectal/anal painShoulder symptom/complaintSinus symptom/complaint
Perianal itchingArm symptom/complaintThroat symptom/complaint
Abdominal pain localized otherElbow symptom/complaintTonsils symptom/complaint
Flatulence/gas/belchingWrist symptom/complaintVoice symptom/complaint
NauseaHand/finger symptom/complaintRespiratory symptom/complaint other respiratory system
VomitingHip symptom/complaintPain/tenderness of skin
DiarrheaLeg/thigh symptom/complaintPruritus
ConstipationKnee symptom/complaintSkin symptom/complaint other
Abdominal distentionAnkle symptom/complaintExcessive thirst
Digestive symptoms/complaints on other digestive organsFoot and toe symptom/complaintExcessive appetite
Eye sensation abnormalMuscle painLoss of appetite
Tinnitus/ringing/buzzing earsMuscle symptom/complaint, not otherwise specifiedDysuria/painful urination
Heart painJoint symptoms/complaintUrinary frequency/urgency
Pressure/tightness of heartHeadacheGenital pain female
Cardiovascular pain, not otherwise specifiedTension headacheMenstrual pain
Palpitations/awareness of heartPain facePain in penis
Irregular heartbeat, otherRestless legsPain in testis/scrotum
Prominent veins
Tingling fingers/feet/toes

TABLE 2.

Medically unexplained physical symptom cluster based on the International Classification of Primary Care


Pain general/multiple sites

Swollen ankles/edema

Disturbance smell/taste
ChillsNeck symptoms/complaintsVertigo/dizziness
Weakness/tiredness generalBack symptoms/complaintsNeurologic symptom/complaint other neurologic system
Feeling illLow back symptoms/complaints without radiationPain respiratory system
Fainting/syncopeChest symptom/complaintShortness of breath/dyspnea
SwellingBack symptom/complaintWheezing
Sweating problemLow back symptom/complaintBreathing problem, other
Abdominal pain/cramps generalChest symptom/complaintCough
Abdominal pain epigastricFlank/axilla symptom/complaintSneezing/nasal congestion
HeartburnJaw symptom/complaintNose symptom/complaint other
Rectal/anal painShoulder symptom/complaintSinus symptom/complaint
Perianal itchingArm symptom/complaintThroat symptom/complaint
Abdominal pain localized otherElbow symptom/complaintTonsils symptom/complaint
Flatulence/gas/belchingWrist symptom/complaintVoice symptom/complaint
NauseaHand/finger symptom/complaintRespiratory symptom/complaint other respiratory system
VomitingHip symptom/complaintPain/tenderness of skin
DiarrheaLeg/thigh symptom/complaintPruritus
ConstipationKnee symptom/complaintSkin symptom/complaint other
Abdominal distentionAnkle symptom/complaintExcessive thirst
Digestive symptoms/complaints on other digestive organsFoot and toe symptom/complaintExcessive appetite
Eye sensation abnormalMuscle painLoss of appetite
Tinnitus/ringing/buzzing earsMuscle symptom/complaint, not otherwise specifiedDysuria/painful urination
Heart painJoint symptoms/complaintUrinary frequency/urgency
Pressure/tightness of heartHeadacheGenital pain female
Cardiovascular pain, not otherwise specifiedTension headacheMenstrual pain
Palpitations/awareness of heartPain facePain in penis
Irregular heartbeat, otherRestless legsPain in testis/scrotum
Prominent veins
Tingling fingers/feet/toes


Pain general/multiple sites

Swollen ankles/edema

Disturbance smell/taste
ChillsNeck symptoms/complaintsVertigo/dizziness
Weakness/tiredness generalBack symptoms/complaintsNeurologic symptom/complaint other neurologic system
Feeling illLow back symptoms/complaints without radiationPain respiratory system
Fainting/syncopeChest symptom/complaintShortness of breath/dyspnea
SwellingBack symptom/complaintWheezing
Sweating problemLow back symptom/complaintBreathing problem, other
Abdominal pain/cramps generalChest symptom/complaintCough
Abdominal pain epigastricFlank/axilla symptom/complaintSneezing/nasal congestion
HeartburnJaw symptom/complaintNose symptom/complaint other
Rectal/anal painShoulder symptom/complaintSinus symptom/complaint
Perianal itchingArm symptom/complaintThroat symptom/complaint
Abdominal pain localized otherElbow symptom/complaintTonsils symptom/complaint
Flatulence/gas/belchingWrist symptom/complaintVoice symptom/complaint
NauseaHand/finger symptom/complaintRespiratory symptom/complaint other respiratory system
VomitingHip symptom/complaintPain/tenderness of skin
DiarrheaLeg/thigh symptom/complaintPruritus
ConstipationKnee symptom/complaintSkin symptom/complaint other
Abdominal distentionAnkle symptom/complaintExcessive thirst
Digestive symptoms/complaints on other digestive organsFoot and toe symptom/complaintExcessive appetite
Eye sensation abnormalMuscle painLoss of appetite
Tinnitus/ringing/buzzing earsMuscle symptom/complaint, not otherwise specifiedDysuria/painful urination
Heart painJoint symptoms/complaintUrinary frequency/urgency
Pressure/tightness of heartHeadacheGenital pain female
Cardiovascular pain, not otherwise specifiedTension headacheMenstrual pain
Palpitations/awareness of heartPain facePain in penis
Irregular heartbeat, otherRestless legsPain in testis/scrotum
Prominent veins
Tingling fingers/feet/toes

The titles and/or abstracts of the identified studies were screened by one of the authors to evaluate whether they met both the disaster criterion and the subject criterion (B. v. d. B.). When there was any doubt about the disaster criterion or the subject criterion, we asked for a full-text version of that study. In addition, we took a random sample of 50 studies that were rejected because of the disaster criterion or the subject criterion to evaluate whether they were indeed not relevant for the review. None of the rejected articles satisfied the criteria. Hard copies of publications that met the disaster criterion and the subject criterion were reviewed by two authors to evaluate whether MUPS was measured (B. v. d. B., L. G.). When there was no consensus between the two authors about the MUPS criterion, a third reviewer did an additional evaluation.

RESULTS

The database searches yielded 3,290 citations: 1,474 from PubMed and 1,816 from the other databases that were searched (figure 2). The citations from PubMed were complete with title and abstract; for the citations from the other databases, only a title was available. In total, 2,817 articles were excluded because they did not meet the disaster criterion, and 52 articles were excluded because of the subject criterion. The search for citations in the bibliographies of identified review articles yielded an additional 26 studies, and 22 eligible articles were found in private databases. We evaluated 469 hard copies with regard to the MUPS criterion (figure 2), of which 32 studies were also evaluated by a third reviewer. Most studies reported only psychological problems among survivors of disasters, such as posttraumatic stress symptoms or anxiety. Sixty-four studies were eligible for the review, of which seven were excluded because of the report criterion. Finally, we accepted 57 studies for this review: 33 cross-sectional studies mostly with a control group and 24 longitudinal studies of which most were retrospective, with four of the latter having a control group. Thirty-seven studies reported about MUPS among survivors of natural disasters, and 20 studies reported about those affected by man-made disasters (table 3). Some study populations were reported in different publications (1829), but we considered these studies as one study; as a consequence, risk factors examined in these studies will be reported once as well.

FIGURE 2.

Literature search to find articles on medically unexplained physical symptoms (MUPS) among survivors of disasters.

TABLE 3.

Characteristics and findings of studies examining medically unexplained physical symptoms


First author, year of publication (reference no.)

Disaster and country




Time since disaster

Findings

No.
Response rate* (%)
Measure
Predisaster
<1 month
1 month– 1 year
>1 year
Prevalence range (%)
Δ Control group§
Δ Time
Risk factors
Anderson, 1994 (64)Earthquake, United States21190SCL-90-R24 hoursYes
Bland, 1996 (70)Earthquake, Italy77280SCL-90-R7 yearsYes
Cardena, 1993 (30)Earthquake, United States9820 and 90Self- constructed1 week4 monthsThree symptoms: time 1, 30–44; time 2, 13–28No
Chen, 2001 (31)Earthquake, Taiwan525CHQ-121 monthThree symptoms: 51–53No
Karanci, 1995 (58)Earthquake, Turkey461/129#SCL-401⅓ yearsNDYes
Kitayama, 2000 (32)Earthquake, Japan258**Self- constructed12 months2 yearsThree symptoms: time 1, 7–30; time 2, 6–24NDNo
Lima, 1989 (33)Earthquake, Ecuador150100SRQ3 monthsSix symptoms: 17–43No
Najarian, 2001 (45)Earthquake, Armenia49/25#SCL-90-R2½ years++Yes
Pynoos, 1993 (67)Earthquake, Armenia231**100CPTSD-RI1½ yearsYes
Tainaka, 1998 (34)Earthquake, Japan2,5551 week3 months1½ yearsSix symptoms: time 1, 15–89; time 2, 8–76; time 3, 4–49Yes
Wang, 2000 (43)Earthquake, China335/172#SCL-903 and 9 months++NDYes
Bravo, 1990 (18); Canino, 1990 (19)Flood, Puerto Rico91293DIS/DS−1 year2 yearsYes
Cook, 1990 (74)Flood, United States9698BSI1 week1¼, 3, 4, and 5 monthsYes
Escobar, 1992 (35)Flood, Puerto Rico375DIS/DS−1 year2 years12 symptoms: 4–36No
Melick, 1985 (61)Flood, United States122/45#SCL-905 yearsNo
Phifer, 1988 (20); Phifer, 1989 (21)Flood, United States22270Self- constructed−3 months3 and 9 months1¼, 1¾, and 4¼ yearsYes
Phifer, 1990 (63)Flood, United States22264Self- constructed−1 year1½ yearsYes
Smith, 1996 (22); Smith, 2000 (23)Flood, United States13127PSI1½ and 6 monthsYes
Solomon, 1987 (59)Flood, United States360/183#84DIS/DS1¼ yearsNDYes
Fairley, 1986 (46)Hurricane, Fiji75/64#99GHQ and SSI2½ monthsGHQ: ++; SSI: ++Yes
Guill, 2001 (36)Hurricane, Honduras110Self- constructed4 monthsHeadache: 58No
Lutgendorf, 1995 (68)Hurricane, United States4958CFIDS3 monthsYes
Shannon, 1994 (65)Hurricane, United States5,687**RI3 monthsAbove cutoff: 13Yes
Shaw, 1995 (71)Hurricane, United States106**TRF2 months2½ yearsYes
Cowan, 1985 (66)Volcanic eruption, United States11985SCL-90-R12 monthsYes
Lima, 1987 (24); Lima, 1993 (25)Volcanic eruption, Colombia113SRQ7 months5 yearsSix symptoms: time 1, 20– 60; time 2, 13–36No
Murphy, 1984 (26); Murphy, 1988 (27)Volcanic eruption, United States15580SCL-90-R11 months3 yearsYes
Clayer, 1985 (37)Bushfires, Australia1,526/100#52Self- constructed12 monthsNerve problems: 30; palpitations: 7++No
Maida, 1989 (38)Bushfires, United States25DIS/DS3 monthsThree symptoms: 8–20No
McFarlane, 1987 (62)Bushfires, Australia808**/ 734#,**43RQ2 and 8 months2¼ yearsAbove cutoff: time 1, 1; time 2, 5; time 3, 7++No
McFarlane, 1997 (47)Bushfires, Australia1,526/ 1,439††77GHQ12 months++Yes
Dollinger, 1986 (39)Lightning strike, United States29**MCBC (expansion)2 monthsSeven symptoms: 3–31No
Baum, 1983 (48)Three Mile Island, United States38/83#70SCL-901½ years++No
Davidson, 1986 (49)Three Mile Island, United States52/35#70SCL-90-R4⅔ years++Yes
Cleary, 1984 (50)Three Mile Island, United States403/1,506#Self- constructed4 and 10 months++Yes
Prince- Embury, 1988 (51)Three Mile Island, United States108/974††51SCL-90-R6 years++No
Bromet, 2000 (52)Chernobyl accident, Ukraine300**/ 300**92/85CSI and CBCL11 yearsCSI: ++; CBCL: ++Yes
Bromet, 2002 (53)Chernobyl accident, Ukraine300/300#92/85SCL-90-R11 yearsAbove cutoff: 55++No
Cwikel, 1997 (44)Chernobyl accident, Ukraine374/334#91SCL-908 and 10 years++NDYes
Havenaar, 1997 (54)Chernobyl accident, Ukraine265/184#92/88BrSI6½ yearsAbove cutoff: 51++No
Holen, 1990 (28); Holen, 1991 (29)Industrial disaster, Norway73/89#Self-reported symptoms5 weeks8 years++No
Weisaeth, 1989 (40)Industrial disaster, Norway24698PTSS-301 and 7 monthsTime 2: muscle pain, 5–35; fatigue, 3–33Yes
Grace, 1993 (60)Buffalo Creek dam collapse, United States199/50#39PEF and SCL-90-R14 yearsNDNo
Shariat, 1999 (41)Terrorist attack, United States49454HSQ2⅔ yearsFive symptoms: 22–44Yes
Trout, 2002 (42)Terrorist attack, United States191/155#68/47Self- constructed3 months12 symptoms: 10–66++No
Yokoyama, 1998 (55)Terrorist attack, Japan18/15#12POMS7 months++Yes
Creamer, 1990 (56)Multiple, shooting, Australia446/338#53/57SCL-90-R4 months++No
Chung, 1999 (72)Aircraft disaster, United Kingdom8255GHQ6 monthsYes
Donker, 2002 (4)Aircraft disaster, the Netherlands533Self-reported symptoms6 yearsSix symptoms: 9–45No
Livingston, 1992 (69)Aircraft disaster, United Kingdom55GHQ12 monthsYes
Tyano, 1996 (57)
Bus-train collision, Israel
306/83#
68/82
SCL-90



7 years

++

Yes

First author, year of publication (reference no.)

Disaster and country




Time since disaster

Findings

No.
Response rate* (%)
Measure
Predisaster
<1 month
1 month– 1 year
>1 year
Prevalence range (%)
Δ Control group§
Δ Time
Risk factors
Anderson, 1994 (64)Earthquake, United States21190SCL-90-R24 hoursYes
Bland, 1996 (70)Earthquake, Italy77280SCL-90-R7 yearsYes
Cardena, 1993 (30)Earthquake, United States9820 and 90Self- constructed1 week4 monthsThree symptoms: time 1, 30–44; time 2, 13–28No
Chen, 2001 (31)Earthquake, Taiwan525CHQ-121 monthThree symptoms: 51–53No
Karanci, 1995 (58)Earthquake, Turkey461/129#SCL-401⅓ yearsNDYes
Kitayama, 2000 (32)Earthquake, Japan258**Self- constructed12 months2 yearsThree symptoms: time 1, 7–30; time 2, 6–24NDNo
Lima, 1989 (33)Earthquake, Ecuador150100SRQ3 monthsSix symptoms: 17–43No
Najarian, 2001 (45)Earthquake, Armenia49/25#SCL-90-R2½ years++Yes
Pynoos, 1993 (67)Earthquake, Armenia231**100CPTSD-RI1½ yearsYes
Tainaka, 1998 (34)Earthquake, Japan2,5551 week3 months1½ yearsSix symptoms: time 1, 15–89; time 2, 8–76; time 3, 4–49Yes
Wang, 2000 (43)Earthquake, China335/172#SCL-903 and 9 months++NDYes
Bravo, 1990 (18); Canino, 1990 (19)Flood, Puerto Rico91293DIS/DS−1 year2 yearsYes
Cook, 1990 (74)Flood, United States9698BSI1 week1¼, 3, 4, and 5 monthsYes
Escobar, 1992 (35)Flood, Puerto Rico375DIS/DS−1 year2 years12 symptoms: 4–36No
Melick, 1985 (61)Flood, United States122/45#SCL-905 yearsNo
Phifer, 1988 (20); Phifer, 1989 (21)Flood, United States22270Self- constructed−3 months3 and 9 months1¼, 1¾, and 4¼ yearsYes
Phifer, 1990 (63)Flood, United States22264Self- constructed−1 year1½ yearsYes
Smith, 1996 (22); Smith, 2000 (23)Flood, United States13127PSI1½ and 6 monthsYes
Solomon, 1987 (59)Flood, United States360/183#84DIS/DS1¼ yearsNDYes
Fairley, 1986 (46)Hurricane, Fiji75/64#99GHQ and SSI2½ monthsGHQ: ++; SSI: ++Yes
Guill, 2001 (36)Hurricane, Honduras110Self- constructed4 monthsHeadache: 58No
Lutgendorf, 1995 (68)Hurricane, United States4958CFIDS3 monthsYes
Shannon, 1994 (65)Hurricane, United States5,687**RI3 monthsAbove cutoff: 13Yes
Shaw, 1995 (71)Hurricane, United States106**TRF2 months2½ yearsYes
Cowan, 1985 (66)Volcanic eruption, United States11985SCL-90-R12 monthsYes
Lima, 1987 (24); Lima, 1993 (25)Volcanic eruption, Colombia113SRQ7 months5 yearsSix symptoms: time 1, 20– 60; time 2, 13–36No
Murphy, 1984 (26); Murphy, 1988 (27)Volcanic eruption, United States15580SCL-90-R11 months3 yearsYes
Clayer, 1985 (37)Bushfires, Australia1,526/100#52Self- constructed12 monthsNerve problems: 30; palpitations: 7++No
Maida, 1989 (38)Bushfires, United States25DIS/DS3 monthsThree symptoms: 8–20No
McFarlane, 1987 (62)Bushfires, Australia808**/ 734#,**43RQ2 and 8 months2¼ yearsAbove cutoff: time 1, 1; time 2, 5; time 3, 7++No
McFarlane, 1997 (47)Bushfires, Australia1,526/ 1,439††77GHQ12 months++Yes
Dollinger, 1986 (39)Lightning strike, United States29**MCBC (expansion)2 monthsSeven symptoms: 3–31No
Baum, 1983 (48)Three Mile Island, United States38/83#70SCL-901½ years++No
Davidson, 1986 (49)Three Mile Island, United States52/35#70SCL-90-R4⅔ years++Yes
Cleary, 1984 (50)Three Mile Island, United States403/1,506#Self- constructed4 and 10 months++Yes
Prince- Embury, 1988 (51)Three Mile Island, United States108/974††51SCL-90-R6 years++No
Bromet, 2000 (52)Chernobyl accident, Ukraine300**/ 300**92/85CSI and CBCL11 yearsCSI: ++; CBCL: ++Yes
Bromet, 2002 (53)Chernobyl accident, Ukraine300/300#92/85SCL-90-R11 yearsAbove cutoff: 55++No
Cwikel, 1997 (44)Chernobyl accident, Ukraine374/334#91SCL-908 and 10 years++NDYes
Havenaar, 1997 (54)Chernobyl accident, Ukraine265/184#92/88BrSI6½ yearsAbove cutoff: 51++No
Holen, 1990 (28); Holen, 1991 (29)Industrial disaster, Norway73/89#Self-reported symptoms5 weeks8 years++No
Weisaeth, 1989 (40)Industrial disaster, Norway24698PTSS-301 and 7 monthsTime 2: muscle pain, 5–35; fatigue, 3–33Yes
Grace, 1993 (60)Buffalo Creek dam collapse, United States199/50#39PEF and SCL-90-R14 yearsNDNo
Shariat, 1999 (41)Terrorist attack, United States49454HSQ2⅔ yearsFive symptoms: 22–44Yes
Trout, 2002 (42)Terrorist attack, United States191/155#68/47Self- constructed3 months12 symptoms: 10–66++No
Yokoyama, 1998 (55)Terrorist attack, Japan18/15#12POMS7 months++Yes
Creamer, 1990 (56)Multiple, shooting, Australia446/338#53/57SCL-90-R4 months++No
Chung, 1999 (72)Aircraft disaster, United Kingdom8255GHQ6 monthsYes
Donker, 2002 (4)Aircraft disaster, the Netherlands533Self-reported symptoms6 yearsSix symptoms: 9–45No
Livingston, 1992 (69)Aircraft disaster, United Kingdom55GHQ12 monthsYes
Tyano, 1996 (57)
Bus-train collision, Israel
306/83#
68/82
SCL-90



7 years

++

Yes
*

Response rates of the first measurement time are reported for longitudinal studies. When response rates of different exposure groups were given, the lowest percentage is reported.

SCL-90 (SCL-90-R/SCL-40), Symptom Checklist somatization subscale; CHQ-12, Chinese Health Questionnaire; SRQ, Self-reporting Questionnaire; CPTSD-RI, Children's Posttraumatic Stress Disorder Reaction Index; DIS/DS, Diagnostic Interview Schedule/Disaster Supplement; BSI, Brief Symptom Inventory; PSI, Physical Symptoms Index; GHQ, General Health Questionnaire; SSI, Somatic Symptom Inventory; CFIDS, chronic fatigue immune dysfunction symptoms; RI, Frederick's Reaction Index for Children; TRF, Teacher's Report Form; RQ, Rutter's Questionnaire (parent and teacher); MCBC, Missouri Children's Behavior Checklist; CSI, Children's Somatization Inventory; CBCL, Child Behavior Checklist; BrSI, Bradford Somatic Inventory; PTSS-30, Posttraumatic Stress Scale 30; PEF, Psychiatric Evaluation Form; HSQ, Health Status Questionnaire; POMS, Profile of Mood States fatigue subscale.

Prevalence range of group of medically unexplained symptoms.

§

Statistically significant difference in score on scale between survivors and controls; “ND” means there is no difference in reported medically unexplained physical symptoms between survivors and controls, “++” means survivors reported more medically unexplained physical symptoms than did controls, and “—” means survivors reported less medically unexplained physical symptoms than did controls.

Statistically significant difference in reported medically unexplained physical symptoms between two time points; “—” means survivors reported less medically unexplained physical symptoms at the second assessment compared with the first assessment, “ND” means there is no difference in reported medically unexplained physical symptoms between the two assessments, and “++” means survivors reported more medically unexplained physical symptoms at the second assessment compared with the first assessment.

#

Control group.

**

Children.

††

Referent data.

TABLE 3.

Characteristics and findings of studies examining medically unexplained physical symptoms


First author, year of publication (reference no.)

Disaster and country




Time since disaster

Findings

No.
Response rate* (%)
Measure
Predisaster
<1 month
1 month– 1 year
>1 year
Prevalence range (%)
Δ Control group§
Δ Time
Risk factors
Anderson, 1994 (64)Earthquake, United States21190SCL-90-R24 hoursYes
Bland, 1996 (70)Earthquake, Italy77280SCL-90-R7 yearsYes
Cardena, 1993 (30)Earthquake, United States9820 and 90Self- constructed1 week4 monthsThree symptoms: time 1, 30–44; time 2, 13–28No
Chen, 2001 (31)Earthquake, Taiwan525CHQ-121 monthThree symptoms: 51–53No
Karanci, 1995 (58)Earthquake, Turkey461/129#SCL-401⅓ yearsNDYes
Kitayama, 2000 (32)Earthquake, Japan258**Self- constructed12 months2 yearsThree symptoms: time 1, 7–30; time 2, 6–24NDNo
Lima, 1989 (33)Earthquake, Ecuador150100SRQ3 monthsSix symptoms: 17–43No
Najarian, 2001 (45)Earthquake, Armenia49/25#SCL-90-R2½ years++Yes
Pynoos, 1993 (67)Earthquake, Armenia231**100CPTSD-RI1½ yearsYes
Tainaka, 1998 (34)Earthquake, Japan2,5551 week3 months1½ yearsSix symptoms: time 1, 15–89; time 2, 8–76; time 3, 4–49Yes
Wang, 2000 (43)Earthquake, China335/172#SCL-903 and 9 months++NDYes
Bravo, 1990 (18); Canino, 1990 (19)Flood, Puerto Rico91293DIS/DS−1 year2 yearsYes
Cook, 1990 (74)Flood, United States9698BSI1 week1¼, 3, 4, and 5 monthsYes
Escobar, 1992 (35)Flood, Puerto Rico375DIS/DS−1 year2 years12 symptoms: 4–36No
Melick, 1985 (61)Flood, United States122/45#SCL-905 yearsNo
Phifer, 1988 (20); Phifer, 1989 (21)Flood, United States22270Self- constructed−3 months3 and 9 months1¼, 1¾, and 4¼ yearsYes
Phifer, 1990 (63)Flood, United States22264Self- constructed−1 year1½ yearsYes
Smith, 1996 (22); Smith, 2000 (23)Flood, United States13127PSI1½ and 6 monthsYes
Solomon, 1987 (59)Flood, United States360/183#84DIS/DS1¼ yearsNDYes
Fairley, 1986 (46)Hurricane, Fiji75/64#99GHQ and SSI2½ monthsGHQ: ++; SSI: ++Yes
Guill, 2001 (36)Hurricane, Honduras110Self- constructed4 monthsHeadache: 58No
Lutgendorf, 1995 (68)Hurricane, United States4958CFIDS3 monthsYes
Shannon, 1994 (65)Hurricane, United States5,687**RI3 monthsAbove cutoff: 13Yes
Shaw, 1995 (71)Hurricane, United States106**TRF2 months2½ yearsYes
Cowan, 1985 (66)Volcanic eruption, United States11985SCL-90-R12 monthsYes
Lima, 1987 (24); Lima, 1993 (25)Volcanic eruption, Colombia113SRQ7 months5 yearsSix symptoms: time 1, 20– 60; time 2, 13–36No
Murphy, 1984 (26); Murphy, 1988 (27)Volcanic eruption, United States15580SCL-90-R11 months3 yearsYes
Clayer, 1985 (37)Bushfires, Australia1,526/100#52Self- constructed12 monthsNerve problems: 30; palpitations: 7++No
Maida, 1989 (38)Bushfires, United States25DIS/DS3 monthsThree symptoms: 8–20No
McFarlane, 1987 (62)Bushfires, Australia808**/ 734#,**43RQ2 and 8 months2¼ yearsAbove cutoff: time 1, 1; time 2, 5; time 3, 7++No
McFarlane, 1997 (47)Bushfires, Australia1,526/ 1,439††77GHQ12 months++Yes
Dollinger, 1986 (39)Lightning strike, United States29**MCBC (expansion)2 monthsSeven symptoms: 3–31No
Baum, 1983 (48)Three Mile Island, United States38/83#70SCL-901½ years++No
Davidson, 1986 (49)Three Mile Island, United States52/35#70SCL-90-R4⅔ years++Yes
Cleary, 1984 (50)Three Mile Island, United States403/1,506#Self- constructed4 and 10 months++Yes
Prince- Embury, 1988 (51)Three Mile Island, United States108/974††51SCL-90-R6 years++No
Bromet, 2000 (52)Chernobyl accident, Ukraine300**/ 300**92/85CSI and CBCL11 yearsCSI: ++; CBCL: ++Yes
Bromet, 2002 (53)Chernobyl accident, Ukraine300/300#92/85SCL-90-R11 yearsAbove cutoff: 55++No
Cwikel, 1997 (44)Chernobyl accident, Ukraine374/334#91SCL-908 and 10 years++NDYes
Havenaar, 1997 (54)Chernobyl accident, Ukraine265/184#92/88BrSI6½ yearsAbove cutoff: 51++No
Holen, 1990 (28); Holen, 1991 (29)Industrial disaster, Norway73/89#Self-reported symptoms5 weeks8 years++No
Weisaeth, 1989 (40)Industrial disaster, Norway24698PTSS-301 and 7 monthsTime 2: muscle pain, 5–35; fatigue, 3–33Yes
Grace, 1993 (60)Buffalo Creek dam collapse, United States199/50#39PEF and SCL-90-R14 yearsNDNo
Shariat, 1999 (41)Terrorist attack, United States49454HSQ2⅔ yearsFive symptoms: 22–44Yes
Trout, 2002 (42)Terrorist attack, United States191/155#68/47Self- constructed3 months12 symptoms: 10–66++No
Yokoyama, 1998 (55)Terrorist attack, Japan18/15#12POMS7 months++Yes
Creamer, 1990 (56)Multiple, shooting, Australia446/338#53/57SCL-90-R4 months++No
Chung, 1999 (72)Aircraft disaster, United Kingdom8255GHQ6 monthsYes
Donker, 2002 (4)Aircraft disaster, the Netherlands533Self-reported symptoms6 yearsSix symptoms: 9–45No
Livingston, 1992 (69)Aircraft disaster, United Kingdom55GHQ12 monthsYes
Tyano, 1996 (57)
Bus-train collision, Israel
306/83#
68/82
SCL-90



7 years

++

Yes

First author, year of publication (reference no.)

Disaster and country




Time since disaster

Findings

No.
Response rate* (%)
Measure
Predisaster
<1 month
1 month– 1 year
>1 year
Prevalence range (%)
Δ Control group§
Δ Time
Risk factors
Anderson, 1994 (64)Earthquake, United States21190SCL-90-R24 hoursYes
Bland, 1996 (70)Earthquake, Italy77280SCL-90-R7 yearsYes
Cardena, 1993 (30)Earthquake, United States9820 and 90Self- constructed1 week4 monthsThree symptoms: time 1, 30–44; time 2, 13–28No
Chen, 2001 (31)Earthquake, Taiwan525CHQ-121 monthThree symptoms: 51–53No
Karanci, 1995 (58)Earthquake, Turkey461/129#SCL-401⅓ yearsNDYes
Kitayama, 2000 (32)Earthquake, Japan258**Self- constructed12 months2 yearsThree symptoms: time 1, 7–30; time 2, 6–24NDNo
Lima, 1989 (33)Earthquake, Ecuador150100SRQ3 monthsSix symptoms: 17–43No
Najarian, 2001 (45)Earthquake, Armenia49/25#SCL-90-R2½ years++Yes
Pynoos, 1993 (67)Earthquake, Armenia231**100CPTSD-RI1½ yearsYes
Tainaka, 1998 (34)Earthquake, Japan2,5551 week3 months1½ yearsSix symptoms: time 1, 15–89; time 2, 8–76; time 3, 4–49Yes
Wang, 2000 (43)Earthquake, China335/172#SCL-903 and 9 months++NDYes
Bravo, 1990 (18); Canino, 1990 (19)Flood, Puerto Rico91293DIS/DS−1 year2 yearsYes
Cook, 1990 (74)Flood, United States9698BSI1 week1¼, 3, 4, and 5 monthsYes
Escobar, 1992 (35)Flood, Puerto Rico375DIS/DS−1 year2 years12 symptoms: 4–36No
Melick, 1985 (61)Flood, United States122/45#SCL-905 yearsNo
Phifer, 1988 (20); Phifer, 1989 (21)Flood, United States22270Self- constructed−3 months3 and 9 months1¼, 1¾, and 4¼ yearsYes
Phifer, 1990 (63)Flood, United States22264Self- constructed−1 year1½ yearsYes
Smith, 1996 (22); Smith, 2000 (23)Flood, United States13127PSI1½ and 6 monthsYes
Solomon, 1987 (59)Flood, United States360/183#84DIS/DS1¼ yearsNDYes
Fairley, 1986 (46)Hurricane, Fiji75/64#99GHQ and SSI2½ monthsGHQ: ++; SSI: ++Yes
Guill, 2001 (36)Hurricane, Honduras110Self- constructed4 monthsHeadache: 58No
Lutgendorf, 1995 (68)Hurricane, United States4958CFIDS3 monthsYes
Shannon, 1994 (65)Hurricane, United States5,687**RI3 monthsAbove cutoff: 13Yes
Shaw, 1995 (71)Hurricane, United States106**TRF2 months2½ yearsYes
Cowan, 1985 (66)Volcanic eruption, United States11985SCL-90-R12 monthsYes
Lima, 1987 (24); Lima, 1993 (25)Volcanic eruption, Colombia113SRQ7 months5 yearsSix symptoms: time 1, 20– 60; time 2, 13–36No
Murphy, 1984 (26); Murphy, 1988 (27)Volcanic eruption, United States15580SCL-90-R11 months3 yearsYes
Clayer, 1985 (37)Bushfires, Australia1,526/100#52Self- constructed12 monthsNerve problems: 30; palpitations: 7++No
Maida, 1989 (38)Bushfires, United States25DIS/DS3 monthsThree symptoms: 8–20No
McFarlane, 1987 (62)Bushfires, Australia808**/ 734#,**43RQ2 and 8 months2¼ yearsAbove cutoff: time 1, 1; time 2, 5; time 3, 7++No
McFarlane, 1997 (47)Bushfires, Australia1,526/ 1,439††77GHQ12 months++Yes
Dollinger, 1986 (39)Lightning strike, United States29**MCBC (expansion)2 monthsSeven symptoms: 3–31No
Baum, 1983 (48)Three Mile Island, United States38/83#70SCL-901½ years++No
Davidson, 1986 (49)Three Mile Island, United States52/35#70SCL-90-R4⅔ years++Yes
Cleary, 1984 (50)Three Mile Island, United States403/1,506#Self- constructed4 and 10 months++Yes
Prince- Embury, 1988 (51)Three Mile Island, United States108/974††51SCL-90-R6 years++No
Bromet, 2000 (52)Chernobyl accident, Ukraine300**/ 300**92/85CSI and CBCL11 yearsCSI: ++; CBCL: ++Yes
Bromet, 2002 (53)Chernobyl accident, Ukraine300/300#92/85SCL-90-R11 yearsAbove cutoff: 55++No
Cwikel, 1997 (44)Chernobyl accident, Ukraine374/334#91SCL-908 and 10 years++NDYes
Havenaar, 1997 (54)Chernobyl accident, Ukraine265/184#92/88BrSI6½ yearsAbove cutoff: 51++No
Holen, 1990 (28); Holen, 1991 (29)Industrial disaster, Norway73/89#Self-reported symptoms5 weeks8 years++No
Weisaeth, 1989 (40)Industrial disaster, Norway24698PTSS-301 and 7 monthsTime 2: muscle pain, 5–35; fatigue, 3–33Yes
Grace, 1993 (60)Buffalo Creek dam collapse, United States199/50#39PEF and SCL-90-R14 yearsNDNo
Shariat, 1999 (41)Terrorist attack, United States49454HSQ2⅔ yearsFive symptoms: 22–44Yes
Trout, 2002 (42)Terrorist attack, United States191/155#68/47Self- constructed3 months12 symptoms: 10–66++No
Yokoyama, 1998 (55)Terrorist attack, Japan18/15#12POMS7 months++Yes
Creamer, 1990 (56)Multiple, shooting, Australia446/338#53/57SCL-90-R4 months++No
Chung, 1999 (72)Aircraft disaster, United Kingdom8255GHQ6 monthsYes
Donker, 2002 (4)Aircraft disaster, the Netherlands533Self-reported symptoms6 yearsSix symptoms: 9–45No
Livingston, 1992 (69)Aircraft disaster, United Kingdom55GHQ12 monthsYes
Tyano, 1996 (57)
Bus-train collision, Israel
306/83#
68/82
SCL-90



7 years

++

Yes
*

Response rates of the first measurement time are reported for longitudinal studies. When response rates of different exposure groups were given, the lowest percentage is reported.

SCL-90 (SCL-90-R/SCL-40), Symptom Checklist somatization subscale; CHQ-12, Chinese Health Questionnaire; SRQ, Self-reporting Questionnaire; CPTSD-RI, Children's Posttraumatic Stress Disorder Reaction Index; DIS/DS, Diagnostic Interview Schedule/Disaster Supplement; BSI, Brief Symptom Inventory; PSI, Physical Symptoms Index; GHQ, General Health Questionnaire; SSI, Somatic Symptom Inventory; CFIDS, chronic fatigue immune dysfunction symptoms; RI, Frederick's Reaction Index for Children; TRF, Teacher's Report Form; RQ, Rutter's Questionnaire (parent and teacher); MCBC, Missouri Children's Behavior Checklist; CSI, Children's Somatization Inventory; CBCL, Child Behavior Checklist; BrSI, Bradford Somatic Inventory; PTSS-30, Posttraumatic Stress Scale 30; PEF, Psychiatric Evaluation Form; HSQ, Health Status Questionnaire; POMS, Profile of Mood States fatigue subscale.

Prevalence range of group of medically unexplained symptoms.

§

Statistically significant difference in score on scale between survivors and controls; “ND” means there is no difference in reported medically unexplained physical symptoms between survivors and controls, “++” means survivors reported more medically unexplained physical symptoms than did controls, and “—” means survivors reported less medically unexplained physical symptoms than did controls.

Statistically significant difference in reported medically unexplained physical symptoms between two time points; “—” means survivors reported less medically unexplained physical symptoms at the second assessment compared with the first assessment, “ND” means there is no difference in reported medically unexplained physical symptoms between the two assessments, and “++” means survivors reported more medically unexplained physical symptoms at the second assessment compared with the first assessment.

#

Control group.

**

Children.

††

Referent data.

Response rates were given in 33 studies, ranging from 12 percent to 100 percent. In the 57 relevant studies, 21 different questionnaires were used to measure MUPS. The SCL-90 somatization subscale was used most often (16 studies). It measured headache, dizziness, pain in the chest or heart, pain in the lower back, nausea or upset stomach, soreness of muscles, difficulty breathing, hot or cold spells, numb or tingling feelings, lump in the throat, feeling bodily washed out, and having a heavy feeling in the arms or legs. In nine studies, MUPS was measured by self-constructed questionnaires.

What is the prevalence rate of MUPS among survivors of disasters at different points in time?

Percentages

Fifteen studies, primarily after natural disasters, examined the percentage of survivors that reported MUPS (4, 25, 3042). Table 3 shows for each study the range of the different symptoms that were measured. The prevalence rates of the individual symptoms that were measured are shown in figure 3. The majority of symptoms were measured 3 months after the disaster. This figure shows that there is large variation in the prevalence of different symptoms at the same measurement time, as well as in the prevalence of the same symptoms at different measurement times. For example, the prevalence rate of headache, which was measured in eight studies, varies considerably, with 36 percent 3 months after an earthquake in Ecuador (33), 58 percent 4 months after a hurricane in Honduras (36), and 18 percent 6 years after a plane crash in the Netherlands (4). Fatigue was measured in seven studies; 44 percent of survivors in the United States (30) and 48 percent of survivors in Japan (34) reported fatigue 1 week after an earthquake. Five years after a volcanic eruption in Colombia, 13 percent of survivors reported fatigue (25). Some symptoms, such as eye irritation and skin problems, were rarely measured, and thus little is known about the prevalence rates of these symptoms.

FIGURE 3.

Prevalence rates of individual medically unexplained physical symptoms.

Mean score

Twenty-two studies compared mean scores on scales of MUPS between survivors and controls. Of these studies, 14 were performed after man-made disasters, and the SCL-90 somatization subscale was used most often to measure MUPS (11 studies). In 18 studies, survivors reported a significantly higher mean score than control subjects did (29, 37, 4257), with risk ratios ranging from 1.1 for the Chernobyl accident after 10 years (44) to 10.6 for the attack on the World Trade Center in New York after 3 months (42). Compared with control subjects, survivors reported more MUPS both shortly after disasters and during a longer term; 11 years after the Chernobyl accident, affected mothers perceived their children as substantially more symptomatic than did mothers in the comparison group (52). The mothers themselves were also more symptomatic than mothers in the control group (odds ratio = 2.4) (53). Three studies did not find a difference in MUPS between survivors and controls, of which two studies were performed about 1 year after a natural disaster (58, 59) and one study was performed 14 years after the Buffalo Creek dam collapse (60). In contrast, in one study 5 years after a flood, less MUPS were found among survivors compared with controls (61).

Course over time

Although figure 3 might suggest that MUPS became less prevalent as the time after the disaster increased, some prevalence rates of MUPS were still high years after a disaster (4). Follow-up studies show inconsistent results about the course of MUPS over time; MUPS significantly decreased between 1 week and 4 months after an earthquake (30) and between 7 months and 5 years after a volcanic eruption (25). In addition, the percentage of survivors reporting MUPS after an earthquake in Japan seemed to decrease as well (34). In contrast, after the Australian bushfires, the percentage of children with MUPS scores above a cutoff value increased between 2 and 8 months after the disaster (62). The prevalence of MUPS did not change among child survivors of an earthquake between 1 and 2 years after the earthquake (32) and among adult survivors of an earthquake between 3 and 9 months (43). Finally, there was no change in the prevalence of MUPS between 8 and 10 years after the Chernobyl accident (44).

Which factors are associated with MUPS among survivors of disasters?

In this section, we will describe factors that were associated with MUPS in the reviewed studies. Biologic markers, such as cortisol level, that cannot be measured by means of questionnaires, will not be described in this section. Most factors were examined in just one single study; in this section, we report on factors that were examined in at least two different studies, using a model with predisposing, precipitating, and perpetuating factors (the 3-P model) (table 4).

TABLE 4.

Predisposing, precipitating, and perpetuating factors for medically unexplained physical symptoms in survivors of disasters



Positive association

Negative association (reference no.)*

No difference

Reference no.*
Adjustment(s)
Reference no.*
Adjustment(s)
Predisposing factors
    Predisaster symptoms18Gender, age, education, report effect, exposure level
20Gender, age, education, employment, marital status
63Gender, age, education, employment, marital status, exposure level
    Female gender18Age, education, predisaster symptoms, report effect, exposure level22Age, education, income, church attendance, religious salience
4763Age, education, employment, marital status, predisaster symptoms, exposure level
58Age, education, feel secure at home67
59
64
65
66Age, stressful life events, social support
    High age58Gender, education, feel secure at home6518Gender, education, predisaster symptoms, report effect, exposure level
6822Gender, education, income, church attendance, religious salience
63Gender, education, employment, marital status, predisaster symptoms, exposure level
66Gender, stressful life events, social support
69
    Married63Gender, age, education, employment, predisaster symptoms, exposure level
    Low income22Gender, age, education, church attendance, religious salience
    Low occupational status63Gender, age, education, marital status, predisaster symptoms, exposure level
    Low education18Gender, age, predisaster symptoms, report effect, exposure level22Gender, age, income, church attendance, religious salience
58
63Gender, age, employment, marital status, predisaster symptoms, exposure level
    Church attendance22Gender, age, education, income, religious salience
50Medically unexplained physical symptoms at previous measurement time
    Religious salience22Gender, age, education, income, church attendance
Precipitating factors
    High physical damage18Gender, age, education, predisaster symptoms, report effect59Predisaster symptoms
20Gender, age, education, employment, marital status, predisaster symptoms67
22Gender, age, education, employment, income, church attendance, religious salience68
2671
34
40
45
57Education, income
63Gender, age, education, employment, marital status, predisaster symptoms
68Age
70
    High exposure to substances44
    High disruption68Age
    Importance of deceased person66Gender, age, social support, self-efficacy
    Preventability of death66Gender, age, social support, importance of deceased person
    Hospitalized/treated40
    Financial loss70Exposure level
    Relocation4345
50Medically unexplained physical symptoms at previous measurement time
70Exposure level
Perpetuating factors
    Posttraumatic stress disorder symptomatology49
52
55Gender, age, education, alcohol consumption, smoking, serum cholinesterase activity
67
72
    Depression6668
    Psychiatric morbidity46
    Psychological distress23
68Age, level of disruption
    Active coping22Gender, age, education, income, church attendance, religious salience, exposure level, avoidant coping
57
    Avoidant coping50Medically unexplained physical symptoms at previous measurement time, self-esteem, psychotropic drug use22Gender, age, education, income, church attendance, religious salience, exposure level, active coping
    Optimism68Age, psychological distress, level of disruption
    Introspection50Medically unexplained physical symptoms at previous measurement time
    Low self-esteem50Medically unexplained physical symptoms at previous measurement time, psychotropic drug use, avoidant coping
    Heavy social burden59Predisaster symptoms
    Low social support59Predisaster symptoms27Level of exposure, self-efficacy
50Medically unexplained physical symptoms at previous measurement time
66Gender, age, stressful life events
68Age, psychological distress, level of disruption
73
    Low self-efficacy27Exposure level, social support50Medically unexplained physical symptoms at previous measurement time
    Psychotropic drug use50Medically unexplained physical symptoms at previous measurement time, self-esteem, avoidant coping
    Drinking50Medically unexplained physical symptoms at previous measurement time
    Smoking50Medically unexplained physical symptoms at previous measurement time
    Bad physical health66
    Stressful life events
66
Gender, age, social support





Positive association

Negative association (reference no.)*

No difference

Reference no.*
Adjustment(s)
Reference no.*
Adjustment(s)
Predisposing factors
    Predisaster symptoms18Gender, age, education, report effect, exposure level
20Gender, age, education, employment, marital status
63Gender, age, education, employment, marital status, exposure level
    Female gender18Age, education, predisaster symptoms, report effect, exposure level22Age, education, income, church attendance, religious salience
4763Age, education, employment, marital status, predisaster symptoms, exposure level
58Age, education, feel secure at home67
59
64
65
66Age, stressful life events, social support
    High age58Gender, education, feel secure at home6518Gender, education, predisaster symptoms, report effect, exposure level
6822Gender, education, income, church attendance, religious salience
63Gender, education, employment, marital status, predisaster symptoms, exposure level
66Gender, stressful life events, social support
69
    Married63Gender, age, education, employment, predisaster symptoms, exposure level
    Low income22Gender, age, education, church attendance, religious salience
    Low occupational status63Gender, age, education, marital status, predisaster symptoms, exposure level
    Low education18Gender, age, predisaster symptoms, report effect, exposure level22Gender, age, income, church attendance, religious salience
58
63Gender, age, employment, marital status, predisaster symptoms, exposure level
    Church attendance22Gender, age, education, income, religious salience
50Medically unexplained physical symptoms at previous measurement time
    Religious salience22Gender, age, education, income, church attendance
Precipitating factors
    High physical damage18Gender, age, education, predisaster symptoms, report effect59Predisaster symptoms
20Gender, age, education, employment, marital status, predisaster symptoms67
22Gender, age, education, employment, income, church attendance, religious salience68
2671
34
40
45
57Education, income
63Gender, age, education, employment, marital status, predisaster symptoms
68Age
70
    High exposure to substances44
    High disruption68Age
    Importance of deceased person66Gender, age, social support, self-efficacy
    Preventability of death66Gender, age, social support, importance of deceased person
    Hospitalized/treated40
    Financial loss70Exposure level
    Relocation4345
50Medically unexplained physical symptoms at previous measurement time
70Exposure level
Perpetuating factors
    Posttraumatic stress disorder symptomatology49
52
55Gender, age, education, alcohol consumption, smoking, serum cholinesterase activity
67
72
    Depression6668
    Psychiatric morbidity46
    Psychological distress23
68Age, level of disruption
    Active coping22Gender, age, education, income, church attendance, religious salience, exposure level, avoidant coping
57
    Avoidant coping50Medically unexplained physical symptoms at previous measurement time, self-esteem, psychotropic drug use22Gender, age, education, income, church attendance, religious salience, exposure level, active coping
    Optimism68Age, psychological distress, level of disruption
    Introspection50Medically unexplained physical symptoms at previous measurement time
    Low self-esteem50Medically unexplained physical symptoms at previous measurement time, psychotropic drug use, avoidant coping
    Heavy social burden59Predisaster symptoms
    Low social support59Predisaster symptoms27Level of exposure, self-efficacy
50Medically unexplained physical symptoms at previous measurement time
66Gender, age, stressful life events
68Age, psychological distress, level of disruption
73
    Low self-efficacy27Exposure level, social support50Medically unexplained physical symptoms at previous measurement time
    Psychotropic drug use50Medically unexplained physical symptoms at previous measurement time, self-esteem, avoidant coping
    Drinking50Medically unexplained physical symptoms at previous measurement time
    Smoking50Medically unexplained physical symptoms at previous measurement time
    Bad physical health66
    Stressful life events
66
Gender, age, social support



*

Risk factors reported in the accepted studies; reference numbers correspond with the reference numbers in table 3 and the list of references.

Factors were longitudinally analyzed.

TABLE 4.

Predisposing, precipitating, and perpetuating factors for medically unexplained physical symptoms in survivors of disasters



Positive association

Negative association (reference no.)*

No difference

Reference no.*
Adjustment(s)
Reference no.*
Adjustment(s)
Predisposing factors
    Predisaster symptoms18Gender, age, education, report effect, exposure level
20Gender, age, education, employment, marital status
63Gender, age, education, employment, marital status, exposure level
    Female gender18Age, education, predisaster symptoms, report effect, exposure level22Age, education, income, church attendance, religious salience
4763Age, education, employment, marital status, predisaster symptoms, exposure level
58Age, education, feel secure at home67
59
64
65
66Age, stressful life events, social support
    High age58Gender, education, feel secure at home6518Gender, education, predisaster symptoms, report effect, exposure level
6822Gender, education, income, church attendance, religious salience
63Gender, education, employment, marital status, predisaster symptoms, exposure level
66Gender, stressful life events, social support
69
    Married63Gender, age, education, employment, predisaster symptoms, exposure level
    Low income22Gender, age, education, church attendance, religious salience
    Low occupational status63Gender, age, education, marital status, predisaster symptoms, exposure level
    Low education18Gender, age, predisaster symptoms, report effect, exposure level22Gender, age, income, church attendance, religious salience
58
63Gender, age, employment, marital status, predisaster symptoms, exposure level
    Church attendance22Gender, age, education, income, religious salience
50Medically unexplained physical symptoms at previous measurement time
    Religious salience22Gender, age, education, income, church attendance
Precipitating factors
    High physical damage18Gender, age, education, predisaster symptoms, report effect59Predisaster symptoms
20Gender, age, education, employment, marital status, predisaster symptoms67
22Gender, age, education, employment, income, church attendance, religious salience68
2671
34
40
45
57Education, income
63Gender, age, education, employment, marital status, predisaster symptoms
68Age
70
    High exposure to substances44
    High disruption68Age
    Importance of deceased person66Gender, age, social support, self-efficacy
    Preventability of death66Gender, age, social support, importance of deceased person
    Hospitalized/treated40
    Financial loss70Exposure level
    Relocation4345
50Medically unexplained physical symptoms at previous measurement time
70Exposure level
Perpetuating factors
    Posttraumatic stress disorder symptomatology49
52
55Gender, age, education, alcohol consumption, smoking, serum cholinesterase activity
67
72
    Depression6668
    Psychiatric morbidity46
    Psychological distress23
68Age, level of disruption
    Active coping22Gender, age, education, income, church attendance, religious salience, exposure level, avoidant coping
57
    Avoidant coping50Medically unexplained physical symptoms at previous measurement time, self-esteem, psychotropic drug use22Gender, age, education, income, church attendance, religious salience, exposure level, active coping
    Optimism68Age, psychological distress, level of disruption
    Introspection50Medically unexplained physical symptoms at previous measurement time
    Low self-esteem50Medically unexplained physical symptoms at previous measurement time, psychotropic drug use, avoidant coping
    Heavy social burden59Predisaster symptoms
    Low social support59Predisaster symptoms27Level of exposure, self-efficacy
50Medically unexplained physical symptoms at previous measurement time
66Gender, age, stressful life events
68Age, psychological distress, level of disruption
73
    Low self-efficacy27Exposure level, social support50Medically unexplained physical symptoms at previous measurement time
    Psychotropic drug use50Medically unexplained physical symptoms at previous measurement time, self-esteem, avoidant coping
    Drinking50Medically unexplained physical symptoms at previous measurement time
    Smoking50Medically unexplained physical symptoms at previous measurement time
    Bad physical health66
    Stressful life events
66
Gender, age, social support





Positive association

Negative association (reference no.)*

No difference

Reference no.*
Adjustment(s)
Reference no.*
Adjustment(s)
Predisposing factors
    Predisaster symptoms18Gender, age, education, report effect, exposure level
20Gender, age, education, employment, marital status
63Gender, age, education, employment, marital status, exposure level
    Female gender18Age, education, predisaster symptoms, report effect, exposure level22Age, education, income, church attendance, religious salience
4763Age, education, employment, marital status, predisaster symptoms, exposure level
58Age, education, feel secure at home67
59
64
65
66Age, stressful life events, social support
    High age58Gender, education, feel secure at home6518Gender, education, predisaster symptoms, report effect, exposure level
6822Gender, education, income, church attendance, religious salience
63Gender, education, employment, marital status, predisaster symptoms, exposure level
66Gender, stressful life events, social support
69
    Married63Gender, age, education, employment, predisaster symptoms, exposure level
    Low income22Gender, age, education, church attendance, religious salience
    Low occupational status63Gender, age, education, marital status, predisaster symptoms, exposure level
    Low education18Gender, age, predisaster symptoms, report effect, exposure level22Gender, age, income, church attendance, religious salience
58
63Gender, age, employment, marital status, predisaster symptoms, exposure level
    Church attendance22Gender, age, education, income, religious salience
50Medically unexplained physical symptoms at previous measurement time
    Religious salience22Gender, age, education, income, church attendance
Precipitating factors
    High physical damage18Gender, age, education, predisaster symptoms, report effect59Predisaster symptoms
20Gender, age, education, employment, marital status, predisaster symptoms67
22Gender, age, education, employment, income, church attendance, religious salience68
2671
34
40
45
57Education, income
63Gender, age, education, employment, marital status, predisaster symptoms
68Age
70
    High exposure to substances44
    High disruption68Age
    Importance of deceased person66Gender, age, social support, self-efficacy
    Preventability of death66Gender, age, social support, importance of deceased person
    Hospitalized/treated40
    Financial loss70Exposure level
    Relocation4345
50Medically unexplained physical symptoms at previous measurement time
70Exposure level
Perpetuating factors
    Posttraumatic stress disorder symptomatology49
52
55Gender, age, education, alcohol consumption, smoking, serum cholinesterase activity
67
72
    Depression6668
    Psychiatric morbidity46
    Psychological distress23
68Age, level of disruption
    Active coping22Gender, age, education, income, church attendance, religious salience, exposure level, avoidant coping
57
    Avoidant coping50Medically unexplained physical symptoms at previous measurement time, self-esteem, psychotropic drug use22Gender, age, education, income, church attendance, religious salience, exposure level, active coping
    Optimism68Age, psychological distress, level of disruption
    Introspection50Medically unexplained physical symptoms at previous measurement time
    Low self-esteem50Medically unexplained physical symptoms at previous measurement time, psychotropic drug use, avoidant coping
    Heavy social burden59Predisaster symptoms
    Low social support59Predisaster symptoms27Level of exposure, self-efficacy
50Medically unexplained physical symptoms at previous measurement time
66Gender, age, stressful life events
68Age, psychological distress, level of disruption
73
    Low self-efficacy27Exposure level, social support50Medically unexplained physical symptoms at previous measurement time
    Psychotropic drug use50Medically unexplained physical symptoms at previous measurement time, self-esteem, avoidant coping
    Drinking50Medically unexplained physical symptoms at previous measurement time
    Smoking50Medically unexplained physical symptoms at previous measurement time
    Bad physical health66
    Stressful life events
66
Gender, age, social support



*

Risk factors reported in the accepted studies; reference numbers correspond with the reference numbers in table 3 and the list of references.

Factors were longitudinally analyzed.

Predisposing factors

Predisposing factors already exist before the disaster and are typically risk factors for MUPS in the general population (figure 1). A group that might be at relatively greater risk for MUPS after disasters would be those with preexisting MUPS; three flood studies found, after controlling for demographic characteristics and level of exposure, a positive association between pre- and postflood symptoms (18, 20, 63).

In line with general population studies, women reported higher rates of MUPS in seven studies after natural disasters in which this association was examined (18, 47, 58, 59, 6466). Three studies did not find an association between reported MUPS and gender (22, 63, 67).

High age, examined in eight studies, was not consistently found to be a risk factor for MUPS. One study among earthquake survivors showed that older subjects reported more MUPS (58). After a hurricane, older survivors reported a greater worsening of chronic fatigue symptoms compared with younger survivors (68). A study among child survivors of a hurricane showed that late adolescents reported less MUPS compared with younger groups (65). Five studies did not find any association between age and MUPS (18, 22, 63, 66, 69).

Education, occupational status, and income are often considered to be indicators of socioeconomic status; these factors were not often examined as a risk factor for MUPS in the reviewed literature. A low educational level was found to be positively associated with MUPS in three studies after natural disasters (58), of which two adjusted for other demographic characteristics, predisaster symptoms, and level of exposure (18, 63). One study did not find this association (22).

Precipitating factors

Involvement in the disaster can manifest itself in different ways. One way is the magnitude of physical damage to oneself, loved ones, and/or property. Another way may consist of exposure to toxic agents, radiation, or biologic agents. A third way is the possible psychological trauma experienced.

High involvement in the disaster defined as the magnitude of damage seems to be an important risk factor for the development of MUPS. Fifteen studies examined this association: 11 studies showed that a high degree of physical damage was positively associated with MUPS (18, 20, 22, 26, 34, 40, 45, 57, 63, 68, 70), and four studies did not find such an association (59, 67, 68, 71).

Three studies that examined the association between relocation and MUPS did not find higher levels of MUPS among those who were relocated (45, 50, 70). In one study, relocated subjects reported less MUPS than those who were not relocated (43). Important to consider in this study was that those who were not relocated experienced significant aftershocks when they returned to their damaged houses, and they received less social support from agencies than did those who were relocated.

Perpetuating factors

Psychological problems are common after disasters and might be important risk factors for MUPS in those affected by disasters. For example, posttraumatic stress symptoms were positively associated with MUPS in five cross-sectional studies (49, 55, 72), of which two were performed among children (52, 67). In addition, two studies found a positive association between psychological distress and MUPS (23, 68).

Coping styles, which refer to the specific way people act in a stressful situation, might be associated with MUPS as well. Two general coping strategies have been distinguished: 1) problem-focused coping or active coping involves the effort to do something active to alleviate stressful circumstances and 2) emotion-focused coping involves the effort to regulate the emotional consequences of stressful events (73). The association between MUPS and active coping was considered in two studies, but no association was found (22, 57). Avoidant coping, engaging in a substitute task, was found to be associated with MUPS among those affected by the Three Mile Island accident (50) but not among survivors of a flood (22).

A study among survivors of a severe flood showed that those who experienced low social support reported more MUPS (59). Five other studies that examined social support did not, however, find this association (27, 50, 66, 68, 74).

DISCUSSION

This review showed that MUPS are common in survivors of disasters and are more prevalent in those affected by disasters compared with the general population. Regardless of the type of disaster, a higher proportion of survivors compared with controls suffer from MUPS both immediately after and in the years following a disaster. In addition, a few consistent risk factors for MUPS, such as female gender as a predisposing factor, high physical damage as a precipitating factor, and posttraumatic stress symptoms as a perpetuating factor, were identified.

Since there is no clear-cut distinction between a major incident and a disaster, we included the keywords “traumatic events” and “life events” in our search strategy. The search identified 3,290 articles: 1,474 in PubMed and 1,816 in other databases. As a result of using the disaster criterion, 86 percent of the studies, mostly performed after individual traumatic events or after war situations, were excluded. This indicates that keywords such as “life events” and “traumatic events” were too general. This was confirmed by a replication of the search in PubMed in which we included solely the keyword “disasters,” without “life events” and “traumatic events”; this search yielded 671 papers.

The prevalence rates of MUPS in the reviewed studies are in accordance with results of studies among people affected by individual traumatic events (75, 76), and among war veterans (15, 77) it is therefore not likely that the results of this review would have been different when we included studies about individual traumatic events and war situations.

Studies about relief workers were excluded on the basis of the subject criterion. Because relief workers, like war veterans, are predominately young (male) adults and more healthy compared with residents, it is likely that studies among relief workers would have yielded lower prevalence rates of MUPS. We accepted studies about child survivors of disasters. Since children seem to report the same symptom patterns as their parents (78), the inclusion of these studies would probably not have affected the results of this review.

Finally, 469 studies were judged on the MUPS criterion. The majority of these studies measured psychological problems, such as posttraumatic stress disorder and depression; we found 57 articles in which MUPS were measured. We excluded studies in which symptoms were likely to be the result of exposure to toxic substances. However, information on dose-response relations for the substance is typically insufficient to make a clear distinction between symptoms from toxicologic effects and MUPS. Therefore, MUPS may also be prevalent after exposure to toxic substances (9, 79).

Few consistent risk factors were observed in the reviewed studies. It is unclear how our selection criteria may have affected the answers to our second research question. The literature on risk factors for MUPS after disasters was even more limited than that on the prevalence rate of MUPS; most risk factors were examined in only one study. However, the identified risk factors for MUPS after disasters were similar to those found in studies among the general population, Gulf War veterans, and victims of sexual assault. For example, female gender was found to be a risk factor for MUPS in the general population (10, 16) and in studies among Gulf War veterans (77, 80). The perpetuating factors posttraumatic stress symptoms and psychological distress were associated with MUPS among survivors of disasters, and this association has also been found in community studies (10, 13), among Gulf War veterans (81, 82), and among victims of sexual assault (76). This indicates that, in particular, predisposing and perpetuating risk factors for MUPS are likely to be similar across different kinds of traumatic events. Precipitating factors might, however, differ across different kinds of traumatic events, and therefore we excluded studies among survivors of individual traumatic events and wartime exposure.

Although this review shows that survivors of disasters report more MUPS compared with controls, we found substantial variation in the reported prevalence rates of MUPS. This variation might have resulted from differences in study characteristics, which make adequate comparison difficult. First, the time of measurement since the disaster differed among studies. Some studies measured MUPS in the months after the disaster, but other studies were performed for the first time years after the disaster. Second, the number of participants as well as the response rate differed among studies. The majority of studies reporting prevalence rates had a low response rate (<60 percent) or did not report any rate. For interpreting the prevalence rate, a high response rate is needed, so that selection bias is limited. Third, the study populations were often not chosen randomly, which might have introduced some bias. However, the use of a random sample is difficult in studies that are performed shortly after a disaster, and therefore convenience samples are frequently used. For convenience samples, information about who did or did not participate in the study is often lacking, and thus the results can either be an under- or overestimation of the true health problems. However, selective participation can also occur in studies that used random sampling. Moreover, after disasters, it is difficult to identify all the eligible survivors, since the affected area as well as the denominator of the affected population cannot always be defined. Fourth, many different questionnaires were used to measure MUPS: 21 different questionnaires in 57 accepted studies. As a result, the number and the type of symptoms that were measured differed among studies. Because of these limitations in the study designs, we cannot draw a definite conclusion about the prevalence rates of MUPS in survivors of disasters.

In contrast to risk factors for MUPS, risk factors for posttraumatic stress disorder have often been studied. Low socioeconomic status, history of psychiatric disorders, and stressful life events have been shown to be risk factors for posttraumatic stress disorder (83), but such an association with MUPS has rarely been studied. In addition, little is known about how different factors interact over time. Nevertheless, three factors seem to be associated with MUPS: the predisposing factor female gender, the precipitating factor high physical damage, and the perpetuating factor posttraumatic stress symptoms.

Since female gender is also a risk factor for MUPS in the general population, the question is whether female gender modifies the effect of the disaster by increasing MUPS after the disaster or whether females already reported more MUPS before the disaster. Because most accepted studies were retrospective, this question cannot be answered; more prospective studies, preferably with a predisaster measurement, are needed to answer this question.

Damage to house or property, injury to oneself or others, serious threat to one's own or one's family member's life, and loss of a loved one were, in most studies, combined into a single exposure variable. Therefore, we reported these factors as the precipitating factor high physical damage in this review. However, the individual exposure variables might be associated with MUPS differently. Future research should consider these factors as different precipitating factors.

Since most studies that examined risk factors for MUPS were cross-sectional or used cross-sectional analyses, we cannot draw a conclusion about causality. For the identification of perpetuating factors (such as posttraumatic stress symptoms and depression) in particular, more longitudinal studies after disasters are needed to answer the question about whether these factors are risk factors or intermediate factors for MUPS.

In conclusion, this review shows that survivors of disasters report more MUPS compared with controls. However, since there is much diversity in study designs among studies, no definite conclusion can be drawn about the prevalence rate of MUPS at different time points after disasters. In addition, a few possible risk factors for MUPS were identified: female gender, high physical damage, and posttraumatic stress symptoms. Many risk factors for MUPS, such as a history of psychiatric disorders and stressful life events, were often studied among the general population or Gulf War veterans, but these factors were rarely studied in survivors of disasters. Therefore, more epidemiologic research after large-scale disasters is needed. To facilitate and prepare epidemiologic studies after disasters, the Dutch Ministry of Welfare, Public Health, and Sports set up the Centre for Health Impact Assessment of Disasters at the National Institute for Public Health and the Environment. Since MUPS impair people's functioning and can be very persistent over time, these future studies must focus on risk factors for MUPS, such as predisaster MUPS or mental health problems and the contribution of individual disaster-related factors, so that survivors at risk for the development of MUPS can be more easily identified.

The authors thank Wim ten Have for helping them with the development of the search strategy and for searching the different databases. They would like to thank Dr. Anja Dirkzwager for evaluating studies on which no consensus could be reached. They would also like to thank Dr. Marc Ruijten for his advice on the studies in which survivors were possibly exposed to toxic substances.

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