Objectives To explore growth data (height-for-age, weight-for-age and BMI-for-age) of children living in poor socioeconomic conditions in rural areas of Chin State, Burma/Myanmar; and to compare these data with the growth and development z-score (GDZ) values for school-aged children and adolescents, provided by the WHO.
Setting A support and educational programme, run by the Swedish association Chin Development and Research Society (CDRS), was carried out among underprivileged school-aged children, unable to attend school without economic and practical support, living in villages and remote areas in Chin State.
Participants Community leaders who were well familiar with the citizens in the community identified children in need of this support. Other community members could also suggest or apply for this. The sample includes all participating children in the CDRS programme at the time of the data collection in six townships. The children were placed in host families, close to a suitable school. Two samples with a total of 639 children from 144 villages and remote areas were obtained:
1. Children in the CDRS Chin Programme (CCP) (2007–2010) comprised 558 children: 50% girls and boys.
2. Children in the Chin Society (CCS) (2010) comprised 81 children: 44% girls and 56% boys.
Primary outcome measures Growth data.
Results All growth data from both groups deviated significantly from the WHO standard references (p≤0.001). The prevalence of stunting (height-for-age ≤–2SD) was 52% among girls and 68% among boys. High levels of wasting (weight-for-age ≤–2SD) were found among girls 29% and boys 36% aged 5–10 years. In addition, severe thinness (BMI-for-age ≤–2SD) was found among girls 31% and boys 44%, all results to be compared to the expected 2.27%.
Conclusions Many more than expected—according to the WHO reference values—in CCP and CCS suffered from stunting, wasting and thinness.
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Strengths and limitations of this study
Data were collected on underprivileged children living in villages and rural areas of Chin State, western Burma/Myanmar, in difficult environmental conditions, sometimes with no real roads in jungle-like areas. To the best of our knowledge, these children have not been studied previously.
The WHO references for ages were compared to the year plus 6 months instead of the exact age, since the birthday was not known for all children. This may be a small classification bias of the growth indicators.
No generalisation to the underlying population in Chin State or Burma/Myanmar may be carried out.
Limited possibility to transfer the results: The CCP sample in this study comprised a selected group of underprivileged children who were part of a support and educational programme in Chin State, western Burma/Myanmar, organised from Sweden by the Chin Development and Research Society (CDRS). These children were offered a voluntary place in a host family, a temporary ‘foster home’. The underlying cause for this was the inability, both economically and practically, of their own family to provide for their basic school education, and it is therefore reasonable to believe that these children were among the poorest in the society.
The Children in the Chin Society sample is small due to the local situation. It comprises a convenience sample of children in ordinary families in the same society as CCP.
Child growth data are an important indicator of general health and well-being. It is internationally agreed that stunting, under-nutrition and thinness are recognised as the largest contributors to diseases in a population.1–3 It is also well documented that childhood stunting, defined as low height-for-age and thinness, defined as low body mass index (BMI)-for-age, are associated with long-term negative cognitive and physical consequences.2–4 Growth restricted children have shown significantly poorer performance in a wide range of cognitive tests.5 ,6 Suboptimal conditions for children are reported from many countries, mainly in Africa and Southeast Asia. Despite rich natural resources, Burma/Myanmar is one of the poorest countries in the world in terms of its health situation, and there are widespread reports of human rights violations occurring under the former military junta.7 Following this, food security has been a long-standing concern, particularly in Chin State and the surrounding areas. Food insecurity is recognised as the main cause of under-nutrition.8
A support and educational programme in Chin State, western Burma/Myanmar, organised from Sweden by the Chin Development and Research Society (CDRS) and run by local fieldworkers, was carried out among underprivileged school-aged children. As part of the CDRS programme, these children were offered a voluntary place in a host family, a temporary ‘foster home’, situated in a city not always close to their biological home. The reasons for including the child comprised: the inability of the family to provide for the child's basic school education; one or both of the parents being dead; the home being broken; or the parents not having the practical or financial means to enrol the child in school. As part of the CDRS programme, a survey on growth, health, hygiene and nutritional status was conducted on all participating children. At the start of this study in 2007, the CDRS programme had been running for 4 years, accumulating more children every year. By 2013, more than 1600 Chin children were included. These children constitute the CCP group.
There is worldwide consensus that the concept of growth assessment is a usable measure for defining the health and nutritional status of a child.9 The WHO Child Growth Standards10 have been developed and state that children all over the world grow similarly when their health and care needs are met; the standards can therefore be used universally to assess children. This is regardless of ethnicity, socioeconomic status or food.10 ,11 Field-testing of the WHO standards in four countries, comparing clinical assessment with the height-for-age, weight-for-age and BMI-for-age standards, concluded that the standards are clinically sound.12 The standards have been scrutinised and implemented widely.13
Our assumption was that the underprivileged children living in host families would have the same living conditions as other children in the same society. We therefore expected to find similar patterns of growth between these two groups. To explore this, we included a group of Chin children from ordinary families. However, owing to the political situation in Chin State at the time of the data collection (2010) with many limitations in the possibility of moving around, we were successful in getting only a small sample of participants for this Children in Chin Society (CCS) group (n=81).
Poor nutritional conditions may hamper growth and development among children and adolescents, and negatively influence their lives as adults. To the best of our knowledge, there is no published information regarding growth data of school-aged children living in Chin State, western Burma/Myanmar. We only found sparse data on children in Burma/Myanmar. Therefore, the objectives of this observational study were: (1) to explore growth data (ie, height-for-age, weight-for-age and BMI-for-age) of children living in poor environmental and socioeconomic conditions in villages and remote areas of Chin State who had been voluntarily moved to a foster family, and children from ordinary families in the same society, and (2) to compare these data with the growth and development z-score (GDZ) values for school-aged children and adolescents, provided by the WHO.14
The study was planned in Sweden and conducted in Burma/Myanmar. Despite the problematic situation in Chin State, with an insufficient infrastructure and many barriers, the project was successfully completed. Three educational seminars with researchers and voluntary local fieldworkers were held outside Chin State in accordance with the rules of Burma/Myanmar at the time. These stated that foreigners could not freely enter the state. The fieldworkers sometimes had to travel for days under difficult environmental conditions to participate in these seminars. During the third seminar, preliminary data were presented as an attempt to validate the results. All families and children included were visited in their homes. According to the protocols of the CDRS programme, the trained fieldworkers were equipped with a questionnaire, a soft tape measure for height and a portable weighing scale. They also carried written instructions for hand hygiene principles and tablets of soap for the families. This was a key focus as hand hygiene is crucial in promoting health and preventing illness. This was also a way to implement the basic ambition of educating the families in hygiene routines.
The study has two sample groups: Children in CDRS Chin Programme (CCP) (2007–2010) and CCS (2010). CCP includes all children participating in the CDRS programme in villages and rural areas in Chin State. The CCS group includes children living in their own families, host families, in a smaller geographic area of Chin State. The selection was made from both urban and rural areas (CCP) and regardless of religious background.
Sampling for CCP
At the start of the support programme, community leaders in the six townships involved (including leaders from Christian churches and Buddhist temples), who were well familiar with the citizens in the community, identified underprivileged children in need of support and education. Other community members could also suggest or apply for this help. Through local coordinators of CDRS, the families got information and an invitation to participate and decide for themselves. Purposive sampling was used. These children were placed in host families, primarily relatives or friends, living close to a suitable school. Selection was from both urban and rural areas, regardless of the religious background (CCP n=558).
Sampling for CCS
The local coordinators of CDRS were responsible in selecting the CCS children (n=81). A convenience sampling was used. The children were identified as ‘ordinary’ children living in their own family, one of the host families.
A total of 639 children in the two samples were included after a few questionnaires had been excluded due to unclear notes. In CCP, all school-aged children, 5–19 years, enrolled in the educational project at the time of data collection, were included. CCP (2007–2010) comprises 558 children: 281 (50%) girls and 277 (50%) boys from 144 villages and rural areas. CCS (2010) comprises 81 children: 36 (44%) girls and 45 (56%) boys from 23 towns and villages. The children in CCP came from six of the nine Chin State townships: Hahka, Kanpetlet, Matupi, Mindat, Thantlang and Tedim. Those in CCS came from three townships: Kanpetlet, Matupi and Mindat.
The questionnaire developed contained basic health and demographic variables, such as age in years, sex, height and weight. In addition, self-descriptions of the meals of a normal day, and the child's eating, toileting and hand hygiene habits were surveyed (reported elsewhere). The questionnaire (see extra material) was mostly used in its English version and translated to Burmese and local languages for some geographical areas. In these cases, the fieldworkers spoke both languages and could explain the few questions that arose. One local field worker personally transported the completed questionnaire from CCP and CCS out of Chin State. All data were analysed in Sweden.
The growth data: height-for-age, weight-for-age and BMI-for-age for both CCP and CCS were compared with corresponding reference values provided by the WHO.14 The reference values referring to the sixth month of each age were used for all children in each age group, since many did not know their exact age in months. The software used for the analyses was SPSS V.20 and Excel 14.
The 95% reference interval includes 95% of the central values and hence excludes 2.5% of the most extreme values at each end of a distribution. In normally distributed data, these are defined by the z-scores of ±1.96SD, commonly rounded up to ±2SD.15 The z-scores of ±3SD define 99.7% of the central range of values excluding the 0.13% most extreme values at each end of the distribution. The following definitions, based on the WHO standards for 95% reference limits,16 were used for comparison: stunting defined as the height-for-age z-score (HAZ) ≤–2SD; underweight as the weight-for-age z-score (WAZ) ≤–2SD and thinness as the BMI-for-age z-score (BMIAZ) ≤–2SD.17–19
The individual data only from CCP (n=558) were plotted in the WHO reference charts displaying the z-score curves against gender, age in years and the three growth variables. The age-specific frequencies and proportions of girls and boys with variable values equal to or below the z-scores of 0SD, that is, mean values ≤–2SD and ≤–3SD, were calculated. Bonferroni corrected p values were calculated. This is a simple correction of the p value to adjust for multiple tests. Multiplying by the number of calculated p values (in our case 36 tests) gives a Bonferroni corrected p value. A p value of <0.05 was considered statistically significant.
The children in CCP were participants in the CDRS programme, while the CCS children were living in their own families, which were host families in the programme. The data collection was part of the support programme, which they all voluntarily applied for or agreed to participate in. All families were visited in their homes as part of the programme. The parents and children orally agreed to participate in this project after receiving additional verbal information.
Three seminars with the fieldworkers and the researchers were conducted inside Burma/Myanmar but outside Chin State, since foreigners were not allowed into Chin State due to the political situation at the time. For the same reason, it was not possible to get an ethical review of the project in Burma/Myanmar. Ethical aspects of this public health study were discussed in a seminar at Örebro University in Sweden. No sensitive data were collected. Data collection was assessed as having no or minimal risk of harm or violation of privacy or human rights for any of the participating families or children. All results are published on a group level and no individuals can be identified. The ambition in the project was to use good research practice.
There are two samples: the CCP who were underprivileged children participating in the CDRS-support programme; and CCS who were ordinary children in host families in the CDRS-programme. The total of 639 children in the two samples came from six of the nine townships in Chin State. They were school-aged, between 5 and 19 years, and included altogether 317 girls and 322 boys (50% per group). The sex and age distributions of CCP (2007–2010) and CCS (2010) are reported in tables. The mean values are given for the two samples CCP and CCS. For CCP; data are plotted individually into the WHO standard curves for height-for-age, weight-for-age and BMI-for-age.
The distribution of height-for-age in the 281 girls in CCP, compared to the WHO child growth standards HAZ (figure 1), showed that 98% were at or below the WHO reference mean height (0SD) compared to an expected 50%. Among girls, 86% (n=36) in CCS were at or below 0SD. The proportion of girls with a height-for-age ≤–2SD was 52% in CCP and 44% in CCS, compared to an expected 2.27%. The proportion of girls with a height-for-age ≤–3SD was 25% in CCP and 19% in CCS, compared to an expected 0.13% (table 1).
All findings on height-for-age among girls significantly deviated (p≤0.001) from the WHO standards (table 2). Comparing CCP girls’ height-for-age to that of CCS girls showed no statistically significant difference (p=NS) except for CCS ≤0SD (p=0.021; table 3).
The distribution of height-for-age, compared to the WHO child growth standards HAZ, showed that 97% (n=277) in CCP and 91% (n=45) in CCS were at or below the WHO reference mean height (0SD; figure 2). The proportion of boys with a height-for-age ≤–2SD was 68% in CCP and 62% in CCS. The proportion of boys with a height-for-age ≤–3SD was 32% in CCP and 31% in CCS (table 1).
All findings on height-for-age among boys significantly deviated (p≤0.001) from the WHO standards (table 2).
Comparing CCP boys’ height-for-age to that of CCS boys showed no statistically significant difference (p=NS; table 3).
The WHO child growth references (WAZ) are only available for the ages 5–10 years.
The distribution of weight-for-age girls aged 5–10 years, compared to the WHO child growth standards WAZ, showed that 90% (n=87) in CCP and 64% (n=11) in CCS were at or below the WHO reference mean weight (0SD; figure 3). The proportion of girls aged 5–10 years with a weight-for-age ≤–2SD was 29% in CCP and 36% in CCS. The proportion of girls aged 5–10 years with a weight-for-age ≤–3SD was 14% in CCP and 27% in CCS (table 4).
All findings on weight-for-age among girls aged 5–10 years significantly deviated (p≤0.001) from the WHO standards, except CCS ≤0SD (p=NS; table 2).
Comparing CCP girls’ weight-for-age to that of CCS girls showed no statistically significant difference (p=NS; table 3).
The distribution of weight-for-age boys aged 5–10 years, compared to the WHO child growth standards WAZ, showed that 82% (n=79) in CCP and 93% (n=15) in CCS were at or below the WHO reference mean height (0SD; figure 4). The proportion of boys aged 5–10 years with a weight-for-age ≤–2SD was 44% in CCP and 40% in CCS. The proportion of boys aged 5–10 years with a weight-for-age ≤–3SD was 19% in CCP and 20% in CCS (table 4).
All findings on weight-for-age among boys aged 5–10 years significantly deviated (p≤0.001) from the WHO standards, except CCS ≤0SD (p=NS; table 2).
Comparing CCP boys’ weight-for-age to that of CCS boys showed no statistically significant difference (p=NS; table 3).
The distribution of BMI-for-age girls, compared to the WHO child growth standards BMIAZ, showed that 63% (n=281) in CCP and 67% (n=36) in CCS were at or below the WHO reference mean BMI (0SD; figure 5). The proportion of girls with a BMI-for-age ≤–2SD was 21% in CCP and 31% in CCS. The proportion of girls with a BMI-for-age ≤–3SD was 9% in CCP and 14% in CCS (table 5).
All findings on BMI-for-age among girls significantly deviated (p≤0.001) from the WHO standards, except CCS ≤0SD (p=NS) (table 2).
Comparing CCP girls’ BMI-for-age to that of CCS girls showed no statistically significant difference (p=NS; table 3).
The distribution of BMI-for-age boys, compared to the WHO child growth standards BMIAZ, showed that 63% (n=277) of boys in CCP and 79% (n=45) in CCS were at or below the WHO reference mean BMI (0SD; figure 6). The proportion of boys with a BMI-for-age ≤–2SD was 19% in CCP and 44% in CCS. The proportion of boys with a BMI-for-age ≤–3SD was 8% in CCP and 29% in CCS (table 5).
All findings on BMI-for-age in boys significantly deviated (p≤0.001) from the WHO standards (table 2).
Comparing CCP boys’ BMI-for-age to that of CCS boys showed no statistically significant difference (p=NS) except for CCS ≤–2SD (p=0.009) and ≤–3SD (p=0.001; table 3).
Differences between girls and boys in the three variables
There were no statistical differences between girls and boys in the three variables studied except for girls’ height in one subgroup; girls were shorter than boys at ≤SD2, where a statistical assured difference showed that CCP girls were shorter than CCP boys (p=0.00013; Bonferroni corrected p value 0.00466).
The results showed that the growth data of these underprivileged children living in Chin State deviated considerably from international references for both girls and boys in the three variables studied: height-for-age, weight-for-age and BMI-for-age. On the basis of international references, many more children than expected suffered from stunting, wasting and thinness. The pattern was the same for both CCP (2007–2010) and CCS (2010) samples. The children in the educational project were all living in a host family to be able to attend school. However, the CCS children, those living in a normal situation in their own homes, also showed similar problematic growth data. This was statistically confirmed.
The mean weight-for-age in the empirical data for both girls and boys followed the WHO standard references close to the level of ≤–1SD for ages 5–10 years. For ages 11–19 years, which have no WHO standard references, one can extrapolate to approximately the same slope, that is, the mean of the empirical data remained close to ≤–1SD.
The BMI results deviated less from the international standards among both boys and girls than the other two variables studied. No gender difference was found. These BMI results were to be expected since the children of both sexes were both thin and short.
Across both CCP and CCS, very many children suffered from severe acute and chronic malnutrition that may result in substantial morbidity, loss of quality of life and even imply long-term developmental problems and educational underachievement. This may diminish their ability to work and thereby reduces the potential for national development.20
Research in context
The analysis of selected papers from repeated literature searches on growth data, children and nutrition in the scientific literature revealed similar results reported from other parts of East Asia21–27 (see online supplementary table S1).
The prevalence of stunting (height-for-age ≤–2SD) among girls (52%) and boys (68%) in our selected group of Chin children was considerably higher compared to findings in other countries and to the expected 2.27%. However, published data from other areas report high levels of stunting as well; in North Korea (age <7), stunting was found in 39% of the girls and 40% of the boys,28 and in India 28% of the girls and 29% of the boys were stunting29 according to the height-for-age ≤–2SD limit.
High levels of wasting (weight-for-age ≤–2SD) were found for both girls (29%) and boys (36%) aged 5–10 years in the present study. Similar situations of wasting were also reported from Nepal with 46% girls and 53% boys30 and for girls in India (47%),30 compared to the expected 2.27%.
Thinness (BMI-for-age ≤–2SD) was also most severe in Chin State, among the studied girls, 31% and boys, 44%,2 but high levels of thinness were also reported from Pakistan, 10% among both girls and boys.25 The lowest values found for these variables were from Japan among girls and boys with 3% and 4%, respectively,31 and from Taiwan with 3% and 2%, respectively.31
Data were collected as part of an educational and support programme from hard-to-reach villages and remote areas with, at many times, no real roads. The fieldworkers were educated theoretically and practically to collect the data, since the researchers were not allowed to enter the area due to political restrictions. To strengthen the data quality, three seminars were held outside the data collection sites, with researchers, fieldworkers and local leaders, where every measurement was discussed in depth.
General conclusions must be drawn with caution since the CCP children included were a select group of underprivileged children included in an educational and support programme. Owing to the local political situation, the CCS sample of ordinary children was small (n=81); however, it showed a similar growth pattern that supports the CCP result.
Whether this reﬂects real genetic differences in linear growth and development rather than environmental inﬂuences, like a problematic nutritional situation,32 remains to be explored. Influencing factors, not studied, may be an insufficient infrastructure with lack of clean water, food, roads, etc.
One possible study limitation could be the language situation. The questionnaire was given in Burmese and English. All local leaders and fieldworkers involved in the data collection spoke English, not always fluently, but the local citizens did not. A few questionnaires were translated into a local language, which may have compromised the quality of the data. It was not back-and-forth translated, which would have been the optimal procedure. However, the trained fieldworkers who performed the data collection and also registered the information had good knowledge of the questionnaire, the local languages and the local situation.
The findings cannot be related to the basic population in Chin State, due to the uncertainty of these numbers, as stated in an Editorial in The Lancet 2012: “Burma has one of the worst health indicators in the world”, and “Population estimates should be treated with caution because of the difficulty of collecting accurate birth data”.33
Illuminating the situation of these underprivileged children may serve as a basis for future interventional studies and for directed support to children in this area in order to improve their situation. The children involved in this study received support from our larger CDRS programme.
The authors are deeply thankful to the local administrators and fieldworkers who collected all the data in Chin State and to the CDRS. The authors are also thankful for statistical advice from two professors in biostatistics, Elisabeth Svensson and Sune Karlsson, at the University of Örebro, Sweden.
Review history and Supplementary material
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
- Data supplement 1 - Online supplement
Funding Örebro University, Sweden provided funding for equipment and local travel.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.
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