Article Text


Association of dispositional optimism with Life’s Simple 7’s Cardiovascular Health Index: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sociocultural Ancillary Study (SCAS)
  1. Rosalba Hernandez1,
  2. Hector M González2,
  3. Wassim Tarraf3,
  4. Judith T Moskowitz4,
  5. Mercedes R Carnethon5,
  6. Linda C Gallo6,
  7. Frank J Penedo4,
  8. Carmen R Isasi7,
  9. John Manuel Ruiz8,
  10. William Arguelles9,10,
  11. Christina Buelna11,
  12. Sonia Davis12,
  13. Franklyn Gonzalez12,
  14. Jessica L McCurley13,
  15. Donghong Wu14,
  16. Martha L Daviglus5,14
  1. 1 School of Social Work, University of Illinois at Urbana Champaign, Urbana, Illinois, USA
  2. 2 Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
  3. 3 Department of Healthcare Sciences, Institute of Gerontology, Wayne State University, Detroit, Michigan, USA
  4. 4 Department of Medical Social Sciences, Northwestern University, Chicago, Illinois, USA
  5. 5 Department of Preventive Medicine, Northwestern University, Chicago, Illinois, USA
  6. 6 Department of Psychology, San Diego State University, San Diego, California, USA
  7. 7 Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
  8. 8 Department of Psychology, University of Arizona, Tucson, Arizona, USA
  9. 9 Center for Research, Baptist Health South Florida, Coral Gables, Florida, USA
  10. 10 Department of Psychology, University of Miami, Coral Gables, Florida, USA
  11. 11 Office of Institutional Effectiveness, Southwestern College, Chula Vista, California, USA
  12. 12 Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
  13. 13 Department of Clinical Psychology, San Diego State University/University of California, San Diego, California, USA
  14. 14 Institute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, USA
  1. Correspondence to Dr Rosalba Hernandez; rherna17{at}


Objectives Mounting evidence links positive psychological functioning to restorative health processes and favourable medical outcomes. However, very little is known about the relationship between optimism, an indicator of psychological functioning and the American Heart Association (AHA)-defined concept of cardiovascular health (CVH), particularly in Hispanics/Latinos of diverse backgrounds. To address limitations of existing literature, this study investigated the association between dispositional optimism and CVH in a heterogeneous sample of Hispanics/Latinos residing in the USA.

Design Cross-sectional study.

Participants and setting Data were analysed from 4919 adults ages 18–75 of the Hispanic Community Health Study/Study of Latinos parent study and the Sociocultural Ancillary Study.

Main outcome measures Optimism was assessed using the 6-item Life Orientation Test-Revised (range from 6 to 30). AHA classification standards were used to derive an additive CVH score with operationalisation of indicators as Ideal, Intermediate and Poor. The overall CVH score included indicators of diet, body mass index, physical activity, cholesterol, blood pressure, fasting glucose and smoking status. Multivariate linear and logistic regressions were used to examine associations of optimism with CVH (Life’s Simple 7), after adjusting for sociodemographic factors and depressive symptoms.

Results Each increase in the optimism total score was associated with a greater CVH score (β=0.03 per unit increase, 95% CI 0.01 to 0.05). When modelling tertiles of optimism, participants with moderate (β=0.24 to 95% CI 0.06 to 0.42) and high (β=0.12, 95% CI 0.01 to 0.24) levels of optimism displayed greater CVH scores when compared with their least optimistic peers.

Conclusion This study offers preliminary evidence for an association between optimism and CVH in a large heterogeneous group of Hispanic/Latino adults. Our study adds scientific knowledge of psychological assets that may promote CVH and suggests a novel therapeutic target for consideration. Future studies are needed to explore causality and potential mechanism underlying the relationship between positive emotion and heart health.

  • mental health
  • coronary heart disease
  • epidemiology

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Strengths and limitations of this study

  • This is one of the few studies to examine the link between dispositional optimism and the seminal concept of cardiovascular health (CVH) which focuses on maintenance and promotion of favourable behavioural health practices and biological attributes.

  • The strength of this study is exploration of the association between emotional well-being and cardiac-related health in a large heterogeneous sample of Hispanic/Latino adults that afforded the power to examine effect modification by country of origin.

  • Our study contributes to existing literature and suggests that dispositional optimism may be a novel therapeutic target for consideration when attempting to promote CVH among Hispanic/Latino adults, regardless of age, sex or Hispanic/Latino country of origin.

  • We acknowledge the inherent limitation associated with cross-sectional designs and endorse longitudinal studies and randomised trials to ascertain hypotheses regarding causation and temporality of the association.

  • Because dietary intake and physical activity were assessed through self-report, measurement error and misclassification bias were possible.


The American Heart Association (AHA) has called for the inclusion of depression as a cardiovascular disease (CVD) risk factor, joining the ranks of traditional markers such as diabetes and hypertension, to underscore the impact of emotional well-being on cardiovascular health (CVH).1 In parallel to the AHA’s recommendation, the field of health and medicine has broadened its focus from the deleterious health effects of negative psychological constructs to a positive orientation that focuses on psychological attributes such as happiness, optimism and life purpose.2 3 Dispositional optimism, that is, the overarching expectation that positive things will occur in the future, is highly correlated with positive emotion and has emerged as a well-being indicator of particular salience for cardiac-related health.4 5 Although well-being domains are often correlated, optimism largely focuses on expectations for a favourable future and less on present moment subjective feelings, and it has garnered the largest body of evidence linking it to superior cardiac health, as shown by longitudinal studies6 and comprehensive meta-analyses.7 Independent of major CVD risk factors, dispositional optimism consistently emerges as a cardioprotective factor and is independently associated with favourable lipid profiles,8 reduced circulation of inflammatory markers, lower rates of hospital readmission after coronary artery bypass graft surgery, reduced all-cause and cardiac-related mortality9 10 and reduced odds for incident heart disease.11

Notably, a majority of studies on the cardioprotective influence of positive emotion focus on disease states, deficits and disability and failure to consider the seminal concept of CVH (ie, Life’s Simple 7 (LS7)) which focuses on maintenance and promotion of favourable behavioural health practices and biological attributes. Favourable profiles of CVH are related to increased longevity, better cognitive functioning, compressed extant morbidity, greater CVD-free survival and reduced odds for incident acute cardiovascular events.12 Few studies have explored the relationship between optimism and positive CVH (LS7).13–15 In participants of the Multi-Ethnic Study of Atherosclerosis (MESA), which included a substantial number of Hispanic/Latino adults, Hernandez et al 14 found two times greater odds of having ideal CVH for adults in the highest quartile of optimism when compared with least optimistic peers, independent of plausible confounds.14 However, that study was not able to explore whether the association was present among Hispanics/Latinos of diverse backgrounds as MESA was predominantly composed of Hispanics/Latinos endorsing Mexican ancestry. Major theories informing the concept of psychological well-being in the USA draw heavily from Western-centric perspectives, which often neglect culturally bound frameworks. Indeed, cultural attributes could result in divergent conceptions of psychological attributes and subsequent non-equivalent associations with physical health.

To address limitations of existing literature, this study investigated the association between dispositional optimism and CVH in a heterogeneous sample of Hispanics/Latinos residing in the USA. We hypothesised that greater levels of optimism would be associated with more favourable CVH profiles with variance in the stability and magnitude of the association based on important sociodemographic factors.


Study population and data source

Participants include Hispanic/Latino adults (aged 18–74 years; n=5313) enrolled in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) parent study and the Sociocultural Ancillary Study (SCAS).16 17 The HCHS/SOL is a large community-based multicentre cohort study that seeks to identify risk and protective factors for chronic disorders and to quantify patterns of morbidity and mortality in a heterogeneous group of Hispanic/Latino adults. Details of the recruitment and study protocol for HCHS/SOL16 and SCAS17 have been previously published. Briefly, study enrolment for HCHS/SOL occurred from 2008 to 2011 across four US regions (New York, Illinois, California and Florida) and included a total of 16 415 adults between the ages of 18 and 74 years. The sample included adults reporting heritage from Mexico, Cuba, Puerto Rico, the Dominican Republic and Central or South America. Participants were selected using a two-stage area household probability sampling approach. The SCAS consists of a subsample of 5313 participants in the original HSHS/SOL cohort with the aim of exploring socioeconomic, cultural and psychosocial influences on health. SCAS assessments were completed by enrollees within 9 months of their initial baseline HCHS/SOL examination. Studies were approved by the Institutional Review Boards at the data coordinating centre and at each field centre where all subjects gave written consent.

The final sample for this study was limited to participants with available scores for measures of optimism and across indicators needed to compute the CVH score (ie, n=4919 or 92.6% of the original SCAS sample). Participants excluded from analysis were less likely to be married or living with a partner and they reported inferior emotional (P<0.01) and physical health (P<0.01); no significant differences were evident by age (P=0.06) or income (P=0.08).

Study measures

Dispositional optimism

Collected as part of SCAS, the Life Orientation Test-Revised (LOT-R) was used to assess dispositional optimism.18 The LOT-R is a self-administered questionnaire with possible scores ranging from 6 (least optimistic) to 30 (most optimistic) and includes items such as, ‘In uncertain times, I usually expect the best.’ The scale includes three positively worded items, three negatively worded items and three filler items (excluded from analysis), all rated on a 5-point Likert-type scale with response options ranging from I agree a lot to I disagree a lot. As recommended by scale developers, main analyses treated the full-scale LOT-R as a unidimensional scale pooling all six items to generate a composite score of total optimism. In addition to treating the optimism score as a continuous measure, tertiles were created based on the distribution of scores to test for possible threshold effects (as clinically based cut-offs are unavailable). Given debate on the factorial structure of the LOT-R, second-order analyses examined optimism and pessimism subscales by parsing negatively and positively worded items.

Cardiovascular health: Life’s Simple 7

AHA specifications19 were used to define and operationalise indicators of CVH for smoking, diet, physical activity, body mass index (BMI), fasting plasma glucose, serum cholesterol and blood pressure.20 Indicators were coded using a three-category scheme of Poor (0), Intermediate (1) or Ideal (2) (see table 1). A total CVH score was computed by summing the seven indicators to derive a score ranging from 0 to 14, with higher scores indicative of better CVH.19 An LS7 index (range 0–7) was also considered based on the sum of Ideal criteria. Finally, a dichotomous LS7 CVH cut-point (≥4 Ideal indicators) was generated that has been previously linked with cardioprotection and reduced 20-year incidence of coronary heart disease.12 21–23

Table 1

Definitions for the three-category indicator of cardiovascular health, per American Heart Association (AHA) specifications

Protocols to capture CVH (ie, LS7) indicators have been described in depth elsewhere.16 Briefly, former and current smoking status was self-reported. Two 24-hour dietary recalls were used to evaluate dietary intake and considered five food categories of fruits/vegetables, fish, grains, sweetened beverages and sodium. Physical activity was determined through self-report using a modified version of the Global Physical Activity Questionnaire which taps into domains related to work, transport and leisure.24 25 The biomarkers considered were BMI, total cholesterol, fasting blood glucose and blood pressure. BMI, measured as kg/cm2, was calculated from staff-ascertained measures of weight (nearest 0.1 kg) and height (nearest centimetre). After a 12-hour fasting, blood was drawn to obtain lipid profiles and fasting glucose values. Total cholesterol was measured using a cholesterol oxidase enzymatic method while the hexokinase enzymatic method was employed when measuring fasting blood glucose (Roche Diagnostics, Roche Diagnostics, Indianapolis, Indiana, USA). Three systolic and diastolic blood pressure readings were taken with participants in a seated position; mean values were obtained by averaging across all three readings. Self-reported medication use was considered when identifying those with pre-existing diabetes, hypercholesterolaemia and hypertension. Information across CVH indicators was obtained during the HCHS/SOL baseline assessment (2008–2011).


Covariates included baseline age, sex (male, female), educational attainment (less than high school (HS), HS graduate/general education degree, greater than HS), income (<US$20,000, US$20 000 to US$50 000, >US$50 000, not reported), marital status (married/living as married/living with a partner), healthcare insurance status (has health insurance, does not have health insurance), nativity/immigration status, language preference for HCHS/SOL interview (English vs Spanish) and Hispanic/Latino heritage group (Mexican, Cuban, Puerto Rican, Dominican, Central American, South American or other). In addition, self-reported physical health was considered as measured using the Physical Health Composite Scale of the 12-item Short Form Health Survey.26 Finally, prevalent coronary heart disease (CHD) at baseline and depressive symptoms (Centre for Epidemiologic Studies-Depression Scale)27 were considered as covariates.

Statistical methods

Complex survey-specific procedures were performed across analyses to properly account for sample weights and the two-stage sampling design involving clustering and stratification procedures.16 28 Descriptive characteristics are presented by tertiles of optimism. Group differences in participant characteristics across optimism tertiles were examined using an F-test or χ2-test as appropriate.

The association of optimism and CVH was examined using multivariate linear and logistic regression. Observations with missing data were excluded from analyses. The first set of regression models treated the independent variable as a continuous score ranging from 6 (least optimistic) to 30 (most optimistic) with modelling of a one-unit increase in optimism. Three separate models were constructed using three CVH scoring methods, that is, continuous (0–14 and 0–7) and dichotomous (≥4 Ideal). Model 1 was unadjusted. Model 2 adjusted for age, sex, Hispanic/Latino heritage, marital status, education, income, insurance status, nativity/immigration status and language of interview. Model 3 was additionally adjusted for self-rated physical health, prevalent CHD and depressive symptoms. Analyses were replicated with treatment of optimism as a categorical (tertiled) variable to assess possible discontinuous effects (low: ≤21; moderate: 22 to ≤25; high: ≥26) with the lowest tertile of optimism serving as the reference category. Sensitivity analyses testing the association of optimism and CVH were performed using logistic quantile regression to account for possible characterisation of CVH as a bounded outcome.29

Effect modification was also explored to inform whether stratified analyses were warranted through inclusion of interaction terms testing the stability of adjusted associations between optimism and cardiovascular by age, sex and Hispanic/Latino background. Finally, second-order analyses treated the LOT-R as a bidimensional scale with subscales of optimism and pessimism. Data analysis was conducted using SAS V.9.4. Parameter estimators of logistic quantile regression models and corresponding 95% CIs were estimated using bootstrap simulations.


Sample characteristics

Table 2 presents participant characteristics according to level of optimism. Participants ranged in age from 18 to 74 years (M=42.3, SE=0.4) with an approximate equal distribution by sex (54.6% female). The largest Hispanic/Latino group comprised those of Mexican heritage (37.4%) followed by those identified as Cuban (20.1%), Puerto Rican (15.5%), Dominican (11.5%) and Central (7.4%) and South American (4.7%). Overall, 32.5% had less than a HS education and 46.4% reported an annual income below US$20 000. P values presenting between-subject differences across demographic factors are presented by tertile of optimism (table 2). Participants categorised as most optimistic tended to be older, reported being married and/or living with a partner and displayed greater socioeconomic standing as quantified by education and income. Differences in optimism were also evident by heritage group. Specifically, a greater proportion of Cuban and Central American participants were in the highest optimism tertile as opposed to the lowest tertile, whereas this finding was reversed for those of Mexican and Puerto Rican heritage. Compared with their less optimistic peers, more favourable profiles among the most optimistic were evident for symptoms of depression. Table 2 also presents the bivariate association between tertiles of optimism and extant number of Ideal CVH indicators. Results suggest a gradient in the distribution of Ideal LS7 criteria across tertiles of optimism with lower levels of optimism associated with fewer Ideal LS7.

Table 2

Characteristics of the target population according to tertile of optimism: (n=4919)

Association between optimism and CVH

As effect modification was not evident by sex, age or Hispanic/Latino heritage group, table 3 presents pooled estimates for the associations of optimism and CVH with optimism treated as a continuous variable. In the unadjusted model, each unit increase in optimism was associated with a higher CVH score (ß=0.03, 95% CI 0.01 to 0.06). This relationship was robust to inclusion of covariates capturing demographic factors, health status and depressive symptoms. Similar findings were evident across the distinct operationalisation of CVH (0–7 continuous index and 4+Ideal LS7s). For instance, each unit increase in optimism was related to 3% higher odds of meeting Ideal criteria across four or more CVH metrics (4+Ideal LS7s; OR 1.03, 95% CI 1.01 to 1.06).

Table 3

Regression models of the association between one unit increase in optimism and cardiovascular health (continuous and categorical) (N=4919) 

Table 4

Cross-sectional associations of tertiles of optimism and cardiovascular health (LS7) (N=4919)

Table 4 presents the β estimates and associated CIs for the association of optimism tertiles and CVH, with the least optimistic group serving as the referent category. In multivariate models and when compared with least optimistic peers, persons with mid and high levels of optimism displayed greater CVH scores when treating CVH as a continuous indicator (0–14 and 0–7 continuous indices). Specifically, mid levels of optimism were associated with greater CVH scores using the 0–14 scaling (β=0.24, 95% CI 0.06 to 0.42) and high levels of optimism were related to greater CVH on the 0–7 scale (β=0.1295, % CI 0.01 to 0.24). Associations were robust to adjustment for demographic factors, physical health status and depressive symptoms. Statistically significant findings were not replicated when treating CVH as a dichotomous outcome (ie, presence of ≥4 Ideal indicators vs <4).

Sensitivity analysis using logistic quantile regression resulted in identical findings as above. Finally, second-order analyses were conducted to explore the association of the optimism and pessimism subscales with CVH. Associations of the LOT-R and CVH were largely driven by the negatively worded items (β=−0.03, P=0.03), this is in contrast to non-significant findings for the three-item cluster of positively worded items (β=0.01, P=0.45) (not shown).


Limited research has investigated plausible psychosocial antecedents of favourable CVH despite its association with reduced risk of cardiac and all-cause mortality. In the first study to include Hispanics/Latinos of diverse heritage backgrounds, we found that higher optimism scores were associated with better CVH with no evidence of effect modification by age, sex or country of origin. Conversely, few Hispanics/Latinos with low optimism met the criteria for Ideal CVH. Our findings were not markedly affected by other factors measured that serve as plausible confounders (eg, prevalent CHD, depressive symptoms). In order to achieve the AHA’s Strategic Impact Goals of improved CVH and reduced cardiac-related mortality by 20% by 2020,19 novel and calculated strategies targeting vulnerable populations are needed to promote and maintain Ideal CVH across the lifespan.

Our results are consistent with previous studies demonstrating the protective cardiac-related health effects of psychological well-being.14 30 For example, in a large prospective population-based study (n=1739) with 10 years of follow-up, each unit increase in positive emotion resulted in a 22% lower incidence rate of coronary heart disease, independent of demographic factors, traditional risk factors and negative emotion.31 A 2012 systematic review by Boehm and Kubzansky further documents the positive association across psychological well-being domains (eg, positive affect, life satisfaction, life purpose, optimism) and CVH when looking at indicators such as atherosclerosis, inflammatory markers (eg, interleukin-6, C-reactive protein), autonomic cardiac control, heart rate variability and traditional CVD risk factors.11 A majority of these studies are mindful to control for depressive symptoms and related markers of negative emotion to test the independent and clinically relevant contribution made by positive psychological attributes. Given independent contributions of psychological well-being to cardiac health, over and above those conferred by negative emotion and traditional risk factors, psychological assets may serve as a novel therapeutic target to improve CVH in Hispanic/Latino adults who are experiencing rising health disparities.

Although the well-being indicator of optimism has received much attention in the field of cardiovascular epidemiology in the last decade, inconsistent findings remain evident. Some studies document a cardioprotective influence14 32 while others report null findings.33 As speculated by Kruse and Sweeny,34 it is plausible that optimism displays heterogeneous effects based on individual properties of the clinical marker under study and underlying biological context. Clinical markers most closely interconnected with stress physiology and dependent on patient-led self-care behaviour may be particularly susceptible to the influences of positive emotion. Despite divergence in the literature, the current study of the HCHS/SOL cohort replicates previous findings of MESA investigators14 where high levels of optimism were found to be associated with favourable CVH. Even though a small effect size was evident, at the population level even modest differences in CVH scores can translate into a significant reduction in subsequent deaths as effects compound over time. We did, however, observe attenuation of the effect when categorising our predictor and outcome variables, potentially as a consequence of diminished statistical power as a result of loss of information through truncation of continuous measures. Nonetheless, the present study identifies a novel clinical marker associated with CVH, independent of depressive symptoms and prevalent CHD. Replication of findings in Hispanics/Latinos shows promise for the field of health psychology and the biopsychosocial model as they elucidate determinants, prevention efforts and treatment of chronic diseases, such as CHD.

Hispanic/Latino adults are the second-fastest growing minority group in the USA and are expected to comprise ≈30% of the total population by 2050.35 Although Hispanics/Latinos experience lower CVD-related mortality, the largest population-based cohort study of diverse Hispanic/Latino adults found that three-quarters of Hispanics/Latinos (aged 18–74 years) have at least one major CVD risk factor.36 In the current study, despite heterogeneity of the HCHS/SOL Hispanic/Latino sample in terms of country of origin, we observed homogeneity both in the degree of optimism reported and the relationship between optimism and CVH. Thus, optimism could be an important indicator of CVD risk regardless of country of origin, sex and age. Future studies will want to consider the mechanism through which optimism influences the indices used to construct the CVH score. A multipronged process is hypothesised to underlie the pathway through which psychological well-being protects against incidence and progression of subclinical and clinical disease, that is, through promotion of healthy behaviours, augmentation of restorative biological processes and increased psychosocial and coping resources.37 38 For instance, in both healthy populations and those with existing chronic illness, evidence links favourable psychological well-being with enhanced exercise regularity, smoking abstinence,39 a more prudent diet40 41 and increased medication regimen adherence. Nonetheless, more research is needed to elucidate important mediators, moderators and confounders of the relationship between positive psychological well-being and CVH, particularly across different contexts and cultures. For example, socioeconomic status attenuated the relationship between optimism and CVH in a Finnish sample of adults, but showed minimal influence in the HCHS/SOL cohort where almost 50% of the sample reported annual income below $US20 000.13 More research is needed to determine whether true cultural and context-specific divergence is evident or whether homogeneity of socioeconomic status in the HCHS/SOL cohort contributed to differential moderation. The present study has multiple strengths. It is the first to examine the association of optimism and CVH in a large sample of diverse Hispanics/Latinos. This allowed for examination of effect modification by Hispanic/Latino group, yielding no apparent interaction of heritage with optimism when regressed on CVH metrics. The study was also statistically powered to adjust for important confounders unique to the Hispanic/Latino population, including acculturation and nativity status. Standardised approaches were used to obtain objective measures across health factors, for example, cholesterol. Study limitations, however, should be considered when interpreting our findings. Because dietary intake and physical activity were assessed through self-report, measurement error and misclassification bias were possible. More extensive psychometric testing in a diverse sample of Hispanics/Latinos is warranted to begin addressing the debate of whether the LOT-R is best treated as a unidimensional measure or as a scale with a two-factor structure. This would inform uncertainty of whether optimism and pessimism are distinct constructs with distinct mechanistic pathways that differentially impact health. As with all cross-sectional studies, there is an inability to make definitive inferences about causality. Longitudinal studies are needed to establish causality and ascertain hypotheses regarding temporality of the association. Finally, despite the potential therapeutic nature of emotional well-being, reducing the socioeconomic disadvantage should also be explored in this population given its graded association with poor health.42

Even though optimism and other indicators of emotional well-being appear to be linked with CVH, there remains a critical scientific gap as we do not yet know whether (or how) interventions to cultivate emotional well-being may help reduce CVD risk. Recent work testing targeted inventions to boost emotional well-being has demonstrated benefits in clinical populations and settings (eg, HIV-positive patients). Moskowitz et al 43 found that an intervention to boost positive emotion resulted in reduced viral load in patients recently diagnosed as HIV positive. A focused intervention to improve emotional well-being may hold promise as a novel therapeutic target for promotion of CVH. On the basis of our current findings, prevention strategies through modification of emotional well-being may be a potential avenue in helping to reach AHA’s goal to increase CVH by 20% by 2020.19 As evidence suggests that 40% of individual variance in emotional well-being is determined by intentional activities under direct human volition,44 current evidence, in conjunction with implementation of randomised trials, will further aid in determining whether successful alteration of emotional well-being favourably impacts heart health. In conclusion, the field of health psychology is shifting away from a narrow, ill-being focus on negative psychological states towards a broader view that includes psychological well-being as well.


RH is funded by the National Heart, Lung, and Blood Institute (NHLBI) through award number 1K01HL130712-01A1. The Hispanic Community Health Study/Study of Latinos was carried out as a collaborative study supported by contracts from the National Heart, Lung, and Blood Institute (NHLBI) to the University of North Carolina (N01-HC65233), University of Miami (N01-HC65234), Albert Einstein College of Medicine (N01-HC65235), Northwestern University (N01-HC65236) and San Diego State University (N01-HC65237). The following Institutes/Centers/Offices contribute to the HCHS/SOL through a transfer of funds to the NHLBI: National Center on Minority Health and Health Disparities, the National Institute of Deafness and Other Communications Disorders, the National Institute of Dental and Craniofacial Research, the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute of Neurological Disorders and Stroke and the Office of Dietary Supplements. The authors thank the staff and participants of HCHS/SOL for their important contributions. A complete list of staff and investigators has been provided by Sorlie et al in Ann Epidemiol. 2010; 20: 642–649 and is also available on the study website .


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  • Contributors DW and RH researched data. HMG, WT, JTM, MRC, LCG, FJP, CRI, JMR, WA, CB, SD, FG and JLM reviewed/edited the full manuscript. MLD researched data, contributed to discussion and extensively reviewed/edited the manuscript. RH wrote the manuscript.

  • Funding This study was funded by National Heart, Lung, and Blood Institute (1K01HL130712, N01-HC65233, N01-HC65234, N01-HC65235, N01-HC65236, N01-HC65237).

  • Competing interests None declared.

  • Patient consent Obtained.

  • Ethics approval IRB at each collaborating institution.

  • Provenance and peer review Not commissioned, externally peer reviewed.

  • Data sharing statement The data and computer code used for this analysis reside at UNC Chapel Hill. The HCHS/SOL fully supports data sharing with outside investigators through processes internal to the study, based on a Data and Materials Distribution Agreement (DMDA) to protect the confidentiality and privacy of the HCHS/SOL participants and their families. Alternatively, deidentified HCHS/SOL data are publically available at BioLINCC and dbGaP for the subset of the study cohort that authorised general use of their data at the time of informed consent.

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