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. 2013 Feb 19;91(5):341–349. doi: 10.2471/BLT.12.113381

Determinants of reduced child stunting in Cambodia: analysis of pooled data from three Demographic and Health Surveys

Déterminants de la réduction du retard de croissance infantile au Cambodge: analyse des données recueillies au cours de trois enquêtes démographiques et sanitaires

Factores determinantes en la disminución del retraso en el crecimiento en niños de Camboya: análisis de los datos obtenidos de tres encuestas demográficas y de salud

محددات انخفاض تقزم الأطفال في كمبوديا: تحليل البيانات المجمعة من ثلاث دراسات استقصائية ديمغرافية وصحية

减少柬埔寨儿童发育迟缓的决定因素：基于三个人口与健康调查汇总数据的分析

Детерминанты сокращения задержки роста у детей в Камбодже: анализ объединенных данных из трех демографических и медицинских обследований

Nayu Ikeda a,✉, Yuki Irie b, Kenji Shibuya c
PMCID: PMC3646343  PMID: 23678197

Abstract

Objective

To assess how changes in socioeconomic and public health determinants may have contributed to the reduction in stunting prevalence seen among Cambodian children from 2000 to 2010.

Methods

A nationally representative sample of 10 366 children younger than 5 years was obtained from pooled data of cross-sectional surveys conducted in Cambodia in 2000, 2005, and 2010. The authors used a multivariate hierarchical logistic model to examine the association between the prevalence of childhood stunting over time and certain determinants. They estimated those changes in the prevalence of stunting in 2010 that could have been achieved through further improvements in public health indicators.

Findings

Child stunting was associated with the child’s sex and age, type of birth, maternal height, maternal body mass index, previous birth intervals, number of household members, household wealth index score, access to improved sanitation facilities, presence of diarrhoea, parents’ education, maternal tobacco use and mother’s birth during the Khmer Rouge famine. The reduction in stunting prevalence during the past decade was attributable to improvements in household wealth, sanitation, parental education, birth spacing and maternal tobacco use. The prevalence of stunting would have been further reduced by scaling up the coverage of improved sanitation facilities, extending birth intervals, and eradicating maternal tobacco use.

Conclusion

Child stunting in Cambodia has decreased owing to socioeconomic development and public health improvements. Effective policy interventions for sanitation, birth spacing and maternal tobacco use, as well as equitable economic growth and education, are the keys to further improvement in child nutrition.

Introduction

Improving the nutritional status of children is a priority in child health. The global burden of undernutrition among children is enormous. Worldwide, more than 300 million children younger than 5 years are estimated to be chronically undernourished.1 Nutritional insufficiency is one of the most important factors contributing to illness among children in the world. In 2010, it accounted for 3.4% of the total global burden of disease.2 To reduce the burden of child undernutrition, it is important to implement appropriate policies and interventions targeting determinants such as education, economic status and empowerment of women.3

Cambodia has experienced rapid socioeconomic development during its democratic transition towards an open market economy since the international peace agreements were signed in 1991.4 Driven by strong economic activity in a period of peace and political stability, the country’s gross domestic product grew by an annual average of 9% during the 2000s5 and was continuing to grow by more than 6% annually in the early 2010s.6 However, nearly one third of the population still lives below the poverty line5 and many children suffer from hunger and poor health. Although mortality among Cambodian children under 5 years of age decreased at an accelerated rate during the 2000s, the decrease is not sufficient to achieve Millennium Development Goal (MDG) 4, which calls for a two-third reduction from 1990 to 2015.7 The nutritional status of Cambodian children has been one of the poorest in the world since at least the mid-1980s.1 Cambodia is not likely to meet MDG 1, which seeks to halve the proportion of people experiencing hunger,1 even though the prevalence of stunting among children younger than 5 years dropped from 50% in 2000 to 40% in 2010.8

Stunting is generally used as an indicator of long-term chronic nutritional deficiency. Child stunting has been extensively studied in developing countries, including Bangladesh,9 Brazil,10 Indonesia,9 Kenya11 and Mozambique.12 In Cambodia, several studies have analysed data from the Cambodian Demographic and Health Surveys (DHSs) conducted in 2000 and 2005 to explore the factors influencing child stunting. These studies have shown stunting was more common among Cambodian children who lived in poorer households,13 or whose mothers had little education14 or smoked tobacco.15 Another study also showed the absence of an association between child stunting among Cambodian children and mothers’ compliance with recommended breastfeeding and complementary feeding practices.16 However, no study has extended the analysis to include the Cambodian 2010 DHS, which covers data for the period of rapid economic growth, or examined how certain potential contributing factors may have affected the decline in stunting prevalence.

The present study aimed to explore what measures will further reduce child stunting in Cambodia, where many people still live in poverty despite rapid economic growth. Using pooled data from three Cambodian DHSs conducted in the period from 2000 to 2010, we investigated improvements in child stunting over the past decade to highlight areas in which effective policy intervention could further reduce stunting prevalence. This information will help policy-makers to organize effective programmes across various sectors to accelerate improvements in the nutrition and health of children in Cambodia.

Methods

Data sources

We pooled data for children less than 5 years of age from the Cambodian DHS conducted in 2000, 2005 and 2010. In each survey, a nationally representative sample of households was obtained through multistage cluster sampling. The methods were detailed elsewhere.8,17,18 To summarize, in 2000 the sampling frame was 600 villages; in 2005 it was all of Cambodia’s 13 505 villages and in 2010 it was 28 764 enumeration areas. Provinces and groups of provinces were stratified into urban and rural areas. In the first stage, villages or census enumeration areas were selected, and, in 2000, a fixed number of segments or enumeration areas were further retained from each of the selected villages. Subsequently, a fixed number of households was selected from each of the selected clusters. All women of reproductive age (15–49 years) who were members of a sampled household or who had slept there the night before the survey were eligible for an interview. The DHS collected anthropometric data for women and for all children younger than 5 years from a 50% subsample of households. Trained personnel measured the recumbent length of children aged less than 24 months and the standing height of older children.8,17,18 Children were included in the study if they had no missing values for anthropometric measurements or other relevant variables. The final sample was composed of 10 366 children (3395 in 2000, 3418 in 2005 and 3553 in 2010).

To assess the chronic nutritional status of children, we used height-for-age z-scores following the Child Growth Standards of the World Health Organization (WHO).19 The height-for-age z-score, as defined by WHO, expresses a child’s height in terms of the number of standard deviations above or below the median height of healthy children in the same age group or in a reference group. We classified children as being stunted if they had a height-for-age z-score of less than −2.

Statistical analysis

To explore factors that may have contributed to the reduction in child stunting during the past 10 years, we conducted a two-step analysis: (i) we examined the association between stunting in individual children and various socioeconomic characteristics and public health determinants, and (ii) we quantified the extent to which a change in each associated determinant decreased the prevalence of child stunting.

In the first part of the analysis, we used multivariate hierarchical logistic regression to model the stunting of children as a function of their socioeconomic characteristics. In this pooled analysis, we included survey year as a fixed effect and adjusted for any correlation among mothers having several children because 41.3% of the sample had siblings aged less than 5 years. We used only covariates that could be consistently measured across the three surveys, which were: the child’s sex; the child’s age in months (continuous variable); type of birth (single or multiple); initiation of breastfeeding within 1 hour of birth (dichotomous variable); preceding birth interval; maternal height (in centimeters squared); maternal body mass index (a proxy for maternal nutritional status); maternal and paternal educational level; maternal use of tobacco at the time of the survey (dichotomous variable); type of residence (urban or rural); number of household members; household wealth status score; access to improved sources of water during the rainy season; access to improved sanitation facilities; the occurrence of diarrhoea in the two weeks preceding the survey; and mother’s birth during the 1975–1978 Khmer Rouge regime (as an indicator variable). In constructing the indicators on water and sanitation, we followed the classifications proposed by the Joint Monitoring Programme for Water Supply and Sanitation (run by WHO and the United Nation’s Children Fund).20 The wealth index scores originally provided by the Cambodian DHS were estimated separately and were not comparable across survey years. Therefore, to compute household wealth index scores on a single common scale across surveys, we pooled data sets for 42 077 households (12 195 in 2000, 14 224 in 2005 and 15 658 in 2010) and conducted a principal component analysis on household possession of 12 durable assets and housing materials.

To measure the relative contribution of different factors to the decline in the prevalence of child stunting between 2000 and 2010, we computed a base value for stunting prevalence by using β coefficients estimated from the regression and the mean values of the explanatory variables in 2000. We then changed the value of each variable to its mean in 2010 while keeping all other covariates constant at their 2000 mean levels. We took any difference from the base value to be the effect of each factor on stunting prevalence. The contributions were not mutually exclusive across factors because the change in means over time could be correlated, particularly with wealth. We used the same approach to estimate the changes in the stunting prevalence in 2010 that would have been achieved by counterfactual improvements in socioeconomic status and public health, as represented by sanitation, spacing between births, smoking prevalence, infection and maternal nutrition. We took into account the complex sampling method (i.e. stratification, clustering and sample weights) in estimating summary statistics for the variables at the population level. We used Stata version 12 (StataCorp LP, College Station, United States of America) for all statistical analyses.

Results

The prevalence of stunting in the study population decreased from 49.3% (95% confidence interval, CI: 47.1–51.5) in 2000 to 39.0% (95% CI: 36.7–41.2) in 2010. Broken down by age group, in 2000 the stunting prevalence was 35.6% (95% CI: 32.7–38.7) among children aged 0–23 months and 57.8% (95% CI: 55.1–60.5) among those aged 24–59 months; in 2010 it was 27.5% (95% CI: 24.7–30.4) and 46.7% (95% CI: 43.8–49.6), respectively. Table 1 lists the point estimates and 95% CIs for the explanatory variables at the national level by survey year. A substantial increase was observed in several public health variables, including early initiation of breastfeeding, improved sources of drinking water and improved sanitation facilities. Fig. 1 illustrates trends in the distribution of household wealth index scores across survey years. The fraction of wealthier households increased over time, while the distribution was still skewed to the right, with the majority of households below the mean value and a long tail at the higher end of the distribution in 2010.

Table 1. Characteristics of children included in the analysis, by year, based on data obtained from the Cambodia Demographic and Health Surveys of 2000, 2005 and 2010.

Characteristic Value (95% CI)
2000 (n = 3395) 2005 (n = 3418) 2010 (n = 3553)
Male sex (%) 51.2 (49.1–53.3) 48.8 (46.7–51.0) 51.3 (49.2–53.4)
Age (months) 29.9 (29.3–30.5) 29.6 (28.9–30.2) 29.5 (28.9–30.1)
Rural residence (%) 85.6 (84.2–86.9) 86.4 (84.2–88.4) 84.5 (82.7–86.0)
Multiple birth (%) 1.6 (1.0–2.4) 1.3 (0.8–2.1) 0.9 (0.6–1.6)
Breastfed within 1 hour of birth (%) 10.6 (9.3–12.0) 36.6 (34.3–39.0) 64.4 (61.8–67.0)
Preceding birth interval (%)      
None (first birth) 18.6 (17.1–20.3) 26.9 (25.1–28.7) 34.0 (32.0–36.0)
< 18 months 5.5 (4.7–6.4) 4.9 (4.1–5.7) 3.8 (3.1–4.7)
18–23 months 10.1 (9.1–11.3) 8.2 (7.1–9.4) 6.4 (5.4–7.5)
24–29 months 15.3 (14.1–16.7) 11.0 (9.9–12.2) 9.4 (8.2–10.7)
30–35 months 12.4 (11.2–13.7) 10.6 (9.4–12.0) 7.6 (6.4–8.9)
≥ 36 months 38.1 (36.0–40.1) 38.5 (36.4–40.6) 38.9 (36.7–41.0)
Average no. of household members 6.3 (6.2–6.4) 5.8 (5.7–6.0) 5.7 (5.6–5.8)
Improved drinking water source in dry season (%) 41.1 (37.5–44.7) 71.0 (67.8–74.1) 75.4 (72.0–78.5)
Improved sanitation facility (%) 4.5 (3.6–5.6) 16.5 (14.3–19.0) 28.6 (26.0–31.3)
Diarrhoea in past 2 weeks (%) 20.4 (18.6–22.4) 19.3 (17.4–21.3) 15.7 (13.9–17.7)
Paternal education (%)
None 17.6 (15.5–19.8) 14.6 (12.6–16.8) 11.3 (9.7–13.1)
Incomplete primary 42.9 (40.4–45.4) 42.9 (40.4–45.3) 37.5 (35.1–39.9)
Complete primary 7.9 (6.7–9.3) 7.3 (6.0–8.8) 8.4 (7.0–10.0)
Incomplete secondary 30.8 (28.3–33.3) 29.7 (27.3–32.2) 34.0 (31.6–36.6)
Complete secondary or higher 0.9 (0.6–1.4) 5.6 (4.5–6.9) 8.8 (7.5–10.2)
Maternal education (%)
None 32.4 (29.9–34.9) 23.8 (21.5–26.3) 18.9 (16.7–21.2)
Incomplete primary 49.5 (46.9–52.2) 51.8 (49.2–54.4) 47.5 (44.8–50.2)
Complete primary 4.2 (3.3–5.3) 6.8 (5.7–8.1) 9.1 (7.6–10.9)
Incomplete secondary 13.1 (11.4–15.0) 15.7 (13.6–18.0) 20.8 (18.7–23.2)
Complete secondary or higher 0.8 (0.5–1.3) 1.9 (1.2–3.0) 3.7 (2.8–4.8)
Maternal use of tobaccoa (%) 14.3 (12.4–16.5) 12.4 (10.6–14.4) 6.6 (5.1–8.4)
Maternal height (cm) 153.1 (152.8–153.3) 152.6 (152.3–152.8) 152.7 (152.4–153.0)
Maternal BMI (%)
< 18.5 kg/m2 19.9 (18.0–21.9) 19.4 (17.4–21.5) 17.8 (16.1–19.6)
18.5–24.9 kg/m2 74.9 (72.9–76.9) 72.5 (70.0–74.8) 72.7 (70.4–74.8)
≥ 25.0 kg/m2 5.2 (4.3–6.4) 8.1 (6.8–9.7) 9.5 (8.2–11.1)
Mother born in 1975–1978 (%) 12.3 (10.8–14.0) 15.8 (14.1–17.6) 9.3 (8.0–10.8)
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BMI, body mass index; CI, confidence interval.

a At the time of the survey.

Fig. 1.

Distribution of household wealth index scores, by year, estimated from Cambodian Demographic and Health Survey data for 2000, 2005 and 2010

a The index value is the first component score estimated from the principal component analysis of wealth indicators. It has a mean of 0 across the three surveys and equals the sum of values for standardized asset indicators, weighted by first factor coefficient scores.35

b The assets used to estimate the wealth index scores were main material of the floor and roof, main fuel used for cooking, electricity, radio, television, refrigerator, bicycle, motorcycle, car, wardrobe and boat with a motor.

Fig. 1

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After adjustment for other confounding factors, child stunting showed a statistically significant association with a child’s sex and age, type of birth, maternal height, a maternal body mass index of < 18.5 kg/m2, preceding birth interval (except for firstborn children), number of household members, household wealth index scores, improved sanitation facilities, maternal and paternal educational level, maternal use of tobacco at the time of the survey, episode of diarrhoea in the child in the two weeks immediately before the survey, and mother’s birth during the Khmer Rouge regime (Table 2).

Table 2. Variables associated with child stunting, based on data from the Cambodian Demographic and Health Surveys of 2000, 2005 and 2010.

Variable OR (95% CI)
Sex
Male 1.1057 (1.0122–1.2078)
Female 1
Age (months) 1.0307 (1.0278–1.0336)
Residence
Urban 1
Rural 0.9212 (0.7916–1.0719)
Type of birth
Single 1
Multiple 1.9075 (1.2865–2.8283)
Breastfeeding initiation  
< 1 hour of birth 0.9587 (0.8612–1.0672)
≥ 1 hour after birth 1
Preceding birth interval
None (first birth) 1.0677 (0.9495–1.2006)
< 18 months 1.4763 (1.2031–1.8117)
18–23 months 1.4272 (1.2109–1.6821)
24–29 months 1.3103 (1.1341–1.5139)
30–35 months 1.1931 (1.0196–1.3962)
≥ 36 months 1
Household wealth index score 0.9040a (0.8768–0.9321)
No. of household members 1.0286b (1.0067–1.0509)
Drinking water source in dry season  
Not improved 1
Improved 1.0341 (0.9318–1.1476)
Sanitation facility
Not improved 1
Improved 0.8145 (0.6902–0.9612)
Diarrhoea in past 2 weeks
No 1
Yes 1.2209 (1.0857–1.3731)
Paternal education
None 1.5865 (1.1764–2.1396)
Incomplete primary 1.6730 (1.2678–2.2076)
Complete primary 1.5575 (1.1430–2.1222)
Incomplete secondary 1.4380 (1.1028–1.8750)
Complete secondary or higher 1
Maternal education
None 2.0173 (1.2795–3.1803)
Incomplete primary 1.8252 (1.1691–2.8497)
Complete primary 1.9221 (1.2028–3.0715)
Incomplete secondary 1.8579 (1.1966–2.8845)
Complete secondary or higher 1
Maternal use of tobaccoc
No 1
Yes 1.2607 (1.0936–1.4532)
Maternal height 1.0471 (1.0353–1.0591)
Maternal height squared 0.9996 (0.9995–0.9997)
Maternal body mass index
< 18.5 kg/m2 1.2283 (1.0924–1.3811)
18.5–24.9 kg/m2 1
≥ 25.0 kg/m2 0.8468 (0.7105–1.0092)
Maternal birth cohort
1975–1978d 1.1683 (1.0212–1.3365)
Other years 1
Survey year
2000 1.0863 (0.8996–1.3117)
2005 0.9437 (0.7910–1.1259)
2010 1
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CI, confidence interval; OR, odds ratio.

a A 1-point increase in household wealth index scores results in a 10% decrease in the odds of stunting.

b A 1-person increase in the number of household members results in a 3% increase in the odds of stunting.

c At the time of the survey.

d Period of the Khmer Rouge regime.

Table 3 shows the extent to which various factors contributed to the decrease in child stunting prevalence between 2000 and 2010. Of all the independent variables included in the model, increased household wealth index score was the one that made the largest contribution, followed by increased access to improved sanitation facilities, improved maternal and paternal educational level, longer interval between preceding birth and birth of surveyed child and decreased prevalence of maternal tobacco use.

Table 3. Estimated contribution of each explanatory variable, in percentage points, to the stunting prevalence among children younger than 5 years from 2000 to 2010, based on data from the Cambodian Demographic and Health Surveys of 2000–2010.

Explanatory variable Contributiona (95% CI)
Increased household wealth index score −4.34 (−5.68 to −2.97)
Improved sanitation facilities −1.23 (−2.24 to −0.29)
Improved paternal education −1.06 (−1.66 to −0.49)
Longer preceding birth interval −0.86 (−1.33 to −0.38)
Improved maternal education −0.67 (−1.33 to −0.04)
Decreased prevalence of maternal use of tobacco −0.45 (−0.73 to −0.17)
Decreased average no. of household members −0.42 (−0.75 to −0.09)
Increased average maternal BMI −0.29 (−0.47 to −0.10)
Decreased incidence of diarrhoea in past 2 weeks −0.24 (−0.38 to −0.10)
Decrease in multiple births −0.10 (−0.17 to −0.04)
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BMI, body mass index; CI, confidence interval.

a Negative values indicate a contribution towards a decreased rate.

The prevalence of child stunting in 2010 would have been 3.4 percentage points (95% CI: 0.8–6.1) higher if the coverage of improved sanitation facilities had extended to all households; 1.8 percentage points (95% CI: 1.1–2.4) higher if the interval between the birth of every surveyed child and that of the preceding child had been at least 36 months, and 0.4 percentage points (95% CI: 0.1–0.6) if maternal tobacco use had been eradicated.

Discussion

To our knowledge, this is the first study to quantify the contribution made by various factors to the decrease in the prevalence of stunting among Cambodian children less than 5 years of age during the 2000s, a period of peace and rapid economic growth. We found that increased household wealth made the largest contribution, followed by improvements in sanitation facilities, parental education and birth spacing and by a decrease in maternal tobacco use.

It is widely accepted that when economies grow and poverty is reduced, child nutrition improves owing to greater access to food, improved maternal and child care and better public health services.21 However, the evidence surrounding the relationship between improvements in the economy and childhood nutrition is inconclusive.22,23 Findings have been heterogeneous, perhaps because of differences in study design and unobserved confounders, such as the policies and circumstances that exist in individual countries. In this regard, our study contributes to the evidence that economic growth exerts a positive influence on child nutrition. It also points to what previous studies have shown, namely, that economic development alone is not enough to improve the nutritional status of children. Equitable income allocation and investment in public health and education programmes are needed to promote a nourishing diet and to keep children healthy.1,22,23 In our study, substantial economic disparity between households was observed: a large fraction of households ranked low on the nationwide wealth scale. Equitable economic growth is needed to attain sustained reductions in the prevalence of child stunting in Cambodia.

The other major determinants in our model contributed in approximately equal measure to the reduction in stunting prevalence. The rate of access to improved sanitation facilities increased from less than 10% to more than 25% between 2000 and 2010. This affected the prevalence of stunting, particularly among children aged 24–59 months (results not shown), perhaps because hygienic toilets prevent young children growing out of diapers from coming into contact with faeces and hence reduce the risk of infections transmitted by the faecal-oral route. 24-26 Since more than 70% of Cambodian children still live in households without improved sanitary facilities, strengthening strategies to increase the provision of hygienic toilets is essential for the health of preschool children.

Although formal education has improved gradually in Cambodia, there is substantial room for further advances which would in turn lead to further reductions in child stunting. Currently, most parents of children under 5 years of age in Cambodia have never enrolled in secondary education. Our finding of an association between maternal and paternal educational level and childhood stunting is consistent with the results of other studies conducted in developing countries, including Cambodia.9,12-14 Moreover, our additional analyses suggest that maternal educational level is inversely associated with stunting in children aged 24–59 months (results not shown). Educated parents may be better equipped to offer their children good care than parents of low educational attainment. It is important that the Cambodian government pursue policies aimed at improving access to education among the poor in Cambodia.

According to our findings, an increase in preceding birth interval made a modest contribution to the decreased prevalence of stunting in Cambodian children. The progress observed in birth spacing in Cambodia is reflected in the substantial decline in child mortality in the country during the past 10 years. A short interval between births can have an adverse effect on child nutrition by causing intrauterine growth retardation or undermining the quality of child care.27

A reduction in the maternal use of tobacco also made a small contribution to the drop in stunting prevalence in Cambodia in the past decade. In our study, maternal smoking and tobacco chewing was significantly associated with child stunting at the individual level, as shown by previous studies in developing countries.9,15,28 The use of tobacco can cause growth retardation in utero29 and divert money away from food and towards tobacco, particularly among the poor.30 Child growth in Cambodia can be improved by increasing public awareness about the dangers of tobacco use and implementing interventions to combat the notion, propagated primarily by older women smokers, that smoking reduces stress during pregnancy.31

Like previous studies in developing countries, ours detected an association between maternal height and child stunting.32,33 Short maternal stature is associated with intrauterine growth retardation and low birth weight, which are in turn predictors of infant death and impaired child growth.2 Moreover, birth of the mother during the Khmer Rouge famine of 1975–1978 also showed a positive association with stunting in the offspring. This suggests the presence of a transgenerational link in which exposure to hunger during the Khmer Rouge regime influences a mother’s stature, which predicts, in turn, the growth of her child. A previous study also showed that intrauterine exposure to the Dutch famine of 1944–1945 was associated with shorter offspring length at birth.34 Further research is needed to explore the life-course effects on child growth of maternal exposure in utero to risk factors present during the Cambodian famine.

The present study has several limitations. First, it did not address causal effects, since it was based on data from cross-sectional surveys. Second, children who died before the survey were not included in the sample, although some may have been severely undernourished. Third, a few key variables could not be included in the model because of differences in survey design and questions. For example, exclusive breastfeeding was excluded from the model because, since the Cambodian DHS only includes questions about current breastfeeding, no information on the early diet of children older than 6 months was available. However, our subgroup analysis of children younger than 6 months suggests the absence of a statistically significant association exists between exclusive breastfeeding and early postnatal stunting (results not shown). This is consistent with previous findings.16 Similarly, we were unable to include complementary feeding status in the model because the list of food items was different across the surveys. However, our sub-group analysis in children aged 6–23 months suggests that less frequent feedings are not associated with stunting (results not shown). Acute respiratory infection was also excluded from our model because the 2000 DHS included no question about the presence of a cough in connection with a respiratory problem. Although these variables were missing from the analysis, our model did consider all those covariates linked to child stunting that were treated homogeneously across the three surveys.

In conclusion, the decrease in the prevalence of stunting among Cambodian children between 2000 and 2010 was partly attributable to improvements in household wealth and in some public health measures. Further reductions in the prevalence of child stunting could be attained through more equitable economic growth, greater access to hygienic toilets and improved educational opportunities. Interventions addressing birth spacing and tobacco use are also needed. Policy-makers need to prioritize these measures and effectively coordinate multisectoral programmes to improve the diet of Cambodian children.

Acknowledgements

This study was supported in part by the Grant-In-Aid for Scientific Research from the Japan Ministry of Health, Labour and Welfare, grant number H21-Chikyukibo-Ippan-002.

Yuki Irie and Nayu Ikeda contributed equally to the authorship of this paper.Competing interests:

None declared.

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