Ashis Talukder, Matthew Kelly, Darren Gray, Haribondhu Sarma
{"title":"南亚和东南亚地区母亲教育和家庭财富对营养不良双重负担的影响","authors":"Ashis Talukder, Matthew Kelly, Darren Gray, Haribondhu Sarma","doi":"10.1111/mcn.70049","DOIUrl":null,"url":null,"abstract":"<p><p>The double burden of malnutrition (DBM), defined by the coexistence of undernutrition and overnutrition within households, poses significant public health challenges in South and Southeast Asia. While previous studies have examined the individual effects of maternal education and household wealth on DBM, findings remain inconsistent, and little is known about how these factors interact across different contexts. To address this gap, we used nationally representative Demographic and Health Survey (DHS) data from Bangladesh (2017-2018), Cambodia (2022), Nepal (2022) and Timor-Leste (2016) to analyse the interaction between maternal education and household wealth in shaping DBM risk. These countries were selected due to their ongoing nutritional transition, which has contributed to the increasing prevalence of DBM. For the analysis, we used DHS data, which employs a standardised multistage cluster sampling method and probabilistic methods to ensure representativeness. In this study, we selected mother-child pairs from the DHS survey, focusing on children aged 0-59 months and nonpregnant mothers at the time of the survey. We included those pairs for which both the mother and child had valid weight and height measurements. Maternal education and household wealth were identified as the primary exposures. To examine their interaction and the impact of other covariates on DBM, we employed multivariable logistic regression models. Our study found that DBM prevalence was higher in urban and wealthier households, with the highest rates observed in Timor-Leste and Cambodia. Multivariable logistic regression indicated that lower maternal education increased DBM risk, especially in affluent households (OR 2.07-3.29). Conversely, higher maternal education was associated with lower DBM prevalence. Additionally, breastfeeding and antenatal care visits emerged as protective factors. These findings indicate the necessity for specific interventions aimed at enhancing maternal education and promoting healthy dietary practices, particularly in rich households. Additionally, reinforcing breastfeeding practices and increasing antenatal care visits are essential strategies to mitigate the risks associated with DBM.</p>","PeriodicalId":51112,"journal":{"name":"Maternal and Child Nutrition","volume":" ","pages":"e70049"},"PeriodicalIF":2.6000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Maternal Education and Household Wealth on Double Burden of Malnutrition in South and Southeast Asia.\",\"authors\":\"Ashis Talukder, Matthew Kelly, Darren Gray, Haribondhu Sarma\",\"doi\":\"10.1111/mcn.70049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The double burden of malnutrition (DBM), defined by the coexistence of undernutrition and overnutrition within households, poses significant public health challenges in South and Southeast Asia. While previous studies have examined the individual effects of maternal education and household wealth on DBM, findings remain inconsistent, and little is known about how these factors interact across different contexts. To address this gap, we used nationally representative Demographic and Health Survey (DHS) data from Bangladesh (2017-2018), Cambodia (2022), Nepal (2022) and Timor-Leste (2016) to analyse the interaction between maternal education and household wealth in shaping DBM risk. These countries were selected due to their ongoing nutritional transition, which has contributed to the increasing prevalence of DBM. For the analysis, we used DHS data, which employs a standardised multistage cluster sampling method and probabilistic methods to ensure representativeness. In this study, we selected mother-child pairs from the DHS survey, focusing on children aged 0-59 months and nonpregnant mothers at the time of the survey. We included those pairs for which both the mother and child had valid weight and height measurements. Maternal education and household wealth were identified as the primary exposures. To examine their interaction and the impact of other covariates on DBM, we employed multivariable logistic regression models. Our study found that DBM prevalence was higher in urban and wealthier households, with the highest rates observed in Timor-Leste and Cambodia. Multivariable logistic regression indicated that lower maternal education increased DBM risk, especially in affluent households (OR 2.07-3.29). Conversely, higher maternal education was associated with lower DBM prevalence. Additionally, breastfeeding and antenatal care visits emerged as protective factors. These findings indicate the necessity for specific interventions aimed at enhancing maternal education and promoting healthy dietary practices, particularly in rich households. 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Influence of Maternal Education and Household Wealth on Double Burden of Malnutrition in South and Southeast Asia.
The double burden of malnutrition (DBM), defined by the coexistence of undernutrition and overnutrition within households, poses significant public health challenges in South and Southeast Asia. While previous studies have examined the individual effects of maternal education and household wealth on DBM, findings remain inconsistent, and little is known about how these factors interact across different contexts. To address this gap, we used nationally representative Demographic and Health Survey (DHS) data from Bangladesh (2017-2018), Cambodia (2022), Nepal (2022) and Timor-Leste (2016) to analyse the interaction between maternal education and household wealth in shaping DBM risk. These countries were selected due to their ongoing nutritional transition, which has contributed to the increasing prevalence of DBM. For the analysis, we used DHS data, which employs a standardised multistage cluster sampling method and probabilistic methods to ensure representativeness. In this study, we selected mother-child pairs from the DHS survey, focusing on children aged 0-59 months and nonpregnant mothers at the time of the survey. We included those pairs for which both the mother and child had valid weight and height measurements. Maternal education and household wealth were identified as the primary exposures. To examine their interaction and the impact of other covariates on DBM, we employed multivariable logistic regression models. Our study found that DBM prevalence was higher in urban and wealthier households, with the highest rates observed in Timor-Leste and Cambodia. Multivariable logistic regression indicated that lower maternal education increased DBM risk, especially in affluent households (OR 2.07-3.29). Conversely, higher maternal education was associated with lower DBM prevalence. Additionally, breastfeeding and antenatal care visits emerged as protective factors. These findings indicate the necessity for specific interventions aimed at enhancing maternal education and promoting healthy dietary practices, particularly in rich households. Additionally, reinforcing breastfeeding practices and increasing antenatal care visits are essential strategies to mitigate the risks associated with DBM.
期刊介绍:
Maternal & Child Nutrition addresses fundamental aspects of nutrition and its outcomes in women and their children, both in early and later life, and keeps its audience fully informed about new initiatives, the latest research findings and innovative ways of responding to changes in public attitudes and policy. Drawing from global sources, the Journal provides an invaluable source of up to date information for health professionals, academics and service users with interests in maternal and child nutrition. Its scope includes pre-conception, antenatal and postnatal maternal nutrition, women''s nutrition throughout their reproductive years, and fetal, neonatal, infant, child and adolescent nutrition and their effects throughout life.