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PreprintCC BYmedRxiv

Dietary Diversity and Underweight Among Women Aged 15-49 Years in Cambodia: Analysis of the 2021-22 Cambodia Demographic and Health Survey

  1. 1Calmette Hospital: Hopital Calmette

Abstract

AimThis study aimed to estimate the prevalence and distribution of minimum dietary diversity for women (MDD-W) and underweight/thinness and examine sociodemographic and dietary factors associated with underweight/thinness among Cambodian women aged 15-49 years.

MethodsWe conducted a cross-sectional analysis of 9,181 women aged 15-49 years (9,262.5 weighted) from the 2021-22 Cambodia Demographic and Health Survey. Survey-weighted descriptive statistics and provincial mapping were used to describe MDD-W, food-group consumption and underweight/thinness. Rao-Scott chi-square tests assessed group differences, and survey-weighted logistic regression estimated factors associated with underweight/thinness. MDD-W and household wealth were retained a priori in the adjusted model, while other covariates with an overall crude Wald P value <0.20 were included.

ResultsThe analysis included 9,181 women (9,262.5 weighted). Overall, 57.2% achieved MDD-W, and 6.7% had underweight/thinness; 22.8% were overweight, and 5.7% had obesity. Underweight/thinness was highest among women aged 20-24 years (17.7%). Achieving MDD-W was not associated with underweight/thinness in crude analysis (OR 0.93, 95% CI 0.74 to 1.17; P=0.545). In the adjusted analysis, the association remained imprecise (aOR 0.86, 95% CI 0.67 to 1.09; P=0.219). Provincial estimates showed geographic variation in both MDD-W and underweight/thinness.

ConclusionMore than half of Cambodian women achieved MDD-W, while underweight/thinness coexisted with overweight and obesity. MDD-W was not clearly associated with underweight/thinness. These findings support monitoring dietary diversity, anthropometric status, and socioeconomic inequalities together in womens nutrition.

WHAT IS ALREADY KNOWN ON THIS TOPICMinimum dietary diversity for women is a population-level indicator of dietary diversity and a proxy for micronutrient adequacy among non-pregnant women aged 15-49 years. Cambodia is experiencing a nutrition transition in which undernutrition coexists with increasing overweight and obesity.

WHAT THIS STUDY ADDSUsing nationally representative 2021-22 Cambodia DHS data, this study describes MDD-W, individual food-group consumption, age-appropriate underweight/thinness, the full nutritional-status distribution, and provincial variation among women aged 15-49 years.

HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICYThe results can support nutrition surveillance and help identify population groups and geographic areas requiring closer attention. Because MDD-W captures dietary diversity rather than total energy intake, it should be interpreted alongside anthropometry and other indicators of diet and nutritional status.

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BibTeX
@misc{sieng2026dietary,
  title = {{Dietary Diversity and Underweight Among Women Aged 15-49 Years in Cambodia: Analysis of the 2021-22 Cambodia Demographic and Health Survey}},
  author = {C. Sieng and S. Um and S. Heng},
  howpublished = {medRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.13.26365381},
  url = {https://www.medrxiv.org/content/10.64898/2026.10.13.26365381v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Dietary Diversity and Underweight Among Women Aged 15-49 Years in Cambodia: Analysis of the 2021-22 Cambodia Demographic and Health Survey
AU  - C. Sieng
AU  - S. Um
AU  - S. Heng
PY  - 2026
DA  - 2026/10/13
PB  - medRxiv
DO  - 10.64898/2026.10.13.26365381
UR  - https://www.medrxiv.org/content/10.64898/2026.10.13.26365381v1
AB  - AimThis study aimed to estimate the prevalence and distribution of minimum dietary diversity for women (MDD-W) and underweight/thinness and examine sociodemographic and dietary factors associated with underweight/thinness among Cambodian women aged 15-49 years.  MethodsWe conducted a cross-sectional analysis of 9,181 women aged 15-49 years (9,262.5 weighted) from the 2021-22 Cambodia Demographic and Health Survey. Survey-weighted descriptive statistics and provincial mapping were used to describe MDD-W, food-group consumption and underweight/thinness. Rao-Scott chi-square tests assessed group differences, and survey-weighted logistic regression estimated factors associated with underweight/thinness. MDD-W and household wealth were retained a priori in the adjusted model, while other covariates with an overall crude Wald P value <0.20 were included.  ResultsThe analysis included 9,181 women (9,262.5 weighted). Overall, 57.2% achieved MDD-W, and 6.7% had underweight/thinness; 22.8% were overweight, and 5.7% had obesity. Underweight/thinness was highest among women aged 20-24 years (17.7%). Achieving MDD-W was not associated with underweight/thinness in crude analysis (OR 0.93, 95% CI 0.74 to 1.17; P=0.545). In the adjusted analysis, the association remained imprecise (aOR 0.86, 95% CI 0.67 to 1.09; P=0.219). Provincial estimates showed geographic variation in both MDD-W and underweight/thinness.  ConclusionMore than half of Cambodian women achieved MDD-W, while underweight/thinness coexisted with overweight and obesity. MDD-W was not clearly associated with underweight/thinness. These findings support monitoring dietary diversity, anthropometric status, and socioeconomic inequalities together in womens nutrition.  WHAT IS ALREADY KNOWN ON THIS TOPICMinimum dietary diversity for women is a population-level indicator of dietary diversity and a proxy for micronutrient adequacy among non-pregnant women aged 15-49 years. Cambodia is experiencing a nutrition transition in which undernutrition coexists with increasing overweight and obesity.  WHAT THIS STUDY ADDSUsing nationally representative 2021-22 Cambodia DHS data, this study describes MDD-W, individual food-group consumption, age-appropriate underweight/thinness, the full nutritional-status distribution, and provincial variation among women aged 15-49 years.  HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICYThe results can support nutrition surveillance and help identify population groups and geographic areas requiring closer attention. Because MDD-W captures dietary diversity rather than total energy intake, it should be interpreted alongside anthropometry and other indicators of diet and nutritional status.
ER  -