Heterogeneous effects of factors on child nutritional status in Bangladesh using linear quantile mixed model

Khan, Jahidur Rahman; Gulshan, Jahida

doi:10.1080/24709360.2020.1842048

Cited by 3 publications

(12 citation statements)

References 31 publications

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“…Age of children was found to have a negative association with HAZ at mean and selected quantiles. This result is consistent with findings from similar studies conducted in Egypt, Bangladesh, Ghana, India, Pakistan, and Eswatini [ 3 , 12 – 14 , 19 , 21 , 33 ]. The association could be linked to inadequate complementary feeding practices and exposure to infections as the children get older in resource-poor settings [ 13 , 37 , 38 ].…”

Section: Discussionsupporting

confidence: 93%

“…Unimproved sanitation was one of the key risk factors for poor nutritional outcome among under-five children in a study that analysed Demographic and Health Surveys from 137 developing countries [ 43 ]. Our finding is consistent with the study from Bangladesh that reported significant negative association between unimproved toilet facility and HAZ at lower quantile [ 12 ]. This implies that public health interventions aimed at improving household sanitation could benefit children at the lower quantiles of HAZ distribution more.…”

Section: Discussionsupporting

confidence: 93%

“…In line with the findings from other studies [ 3 , 12 – 14 , 19 , 21 , 24 , 33 , 38 ], we found that maternal education (secondary/higher secondary) was positively associated with HAZ of children. In studies from various settings, educated mothers were found to have a better knowledge about nutrition, childcare, child feeding, hygiene, risk associated with poor diet, and healthcare practices in comparison to non-educated counterparts, which could have positively influenced growth and development of children [ 3 , 13 , 14 , 18 , 19 , 41 , 42 ].…”

Section: Discussionsupporting

confidence: 93%

“…So, height-for-age is a more commonly used indicator of child nutrition since it captures the effect of chronic undernutrition if any. Studies from a wide range of countries have shown that the nutritional status of under-five children is affected by a multitude of factors, ranging from child, maternal, socioeconomic, demographic to household hygiene and sanitation [ 12 – 18 ]. These studies have predominantly used either the ordinary least squares (OLS) regression or binary regression to analyse the determinants of nutritional outcome.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, quantile regression approach provides a complete and more precise estimate of the effects of the covariates on the outcome variable without dichotomization and loss of information [ 12 , 21 , 22 , 24 , 25 ]. This approach yields optimal estimates of regression coefficients even in the presence of outliers and non-normal distribution of outcome variable [ 19 , 21 , 22 , 24 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

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Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Bhusal¹,

Sapkota

2022

Global Health

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Background Child undernutrition continues to be a major public health problem in many countries, including Nepal. The repercussions of undernutrition are not only limited to the affected children and families but also transcend to the national and global economy. Earlier studies from Nepal have predominantly used either ordinary least squares (OLS) regression or binary regression to analyse the socioeconomic and demographic correlates of the nutritional outcome. In this study, quantile regression was used to understand a complete and more precise estimate of the effects of the covariates on the child nutritional status. Methods This study was based on the most recent nationally representative Nepal Multiple Indicator Cluster Survey (MICS) 2019. Height-for-age z scores (HAZ) were used as an indicator for assessing the nutritional status of under-five children. Quantile regression was used to examine the heterogeneous association of covariates with conditional HAZ distribution across the different quantiles (0.10, 0.30, 0.50, 0.85). As a comparison, the effects of covariates at conditional mean of HAZ using OLS regression was also analysed. The graphs were plotted to visualize the changes in the coefficients for each regressor across the entire conditional HAZ distribution. Results Age of children, sex of children, province and wealth had a consistent and statistically significant association with HAZ in both OLS and quantile regression. Improved toilet facility was positively correlated with HAZ at the lower tails (tenth and thirtieth percentiles). Ethnicity (Janajati and Newer) was positively correlated with HAZ at the lower tail (thirtieth percentile) and mean (OLS regression). Maternal education was a significant predictor of improved height-for-age across conditional quantiles, except at the tenth percentile. Maternal age, number of under-five children in household, number of household members, and improved source of drinking water showed heterogeneous effects across different quantiles of conditional HAZ distribution. Conclusion Use of quantile regression approach showed that the effect of different factors differed across the conditional distribution of HAZ. Policymakers should consider the heterogeneous effect of different factors on HAZ so that the targeted intervention could be implemented to maximize the nutritional benefits to children.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Bhusal¹,

Sapkota

2022

Global Health

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Effects of short birth interval on child malnutrition in the Asia‐Pacific region: Evidence from a systematic review and meta‐analysis

Khan,

Harris,

Hassen

et al. 2024

Maternal & Child Nutrition

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Child malnutrition remains a significant concern in the Asia‐Pacific region, with short birth intervals recognised as a potential risk factor. However, evidence of this association is inconclusive. This study aimed to systematically review the existing evidence and assess the summary effects of short birth interval on child malnutrition in the Asia‐Pacific region. Five electronic databases were searched in May 2023 to identify relevant studies reporting the association between short birth interval and child malnutrition, including stunting, wasting, underweight, anaemia and overall malnutrition, in Asia‐Pacific region between September 2000 and May 2023. Fixed‐effects or random‐effects meta‐analysis was performed to estimate the summary effects of short birth interval on child malnutrition. Out of 56 studies meeting the inclusion criteria, 48 were included in quantitative synthesis through meta‐analysis. We found a slightly higher likelihood of stunting (n = 25, odds ratio [OR] = 1.13; 95% confidence interval [CI]: 0.97–1.32) and overall malnutrition (n = 3, OR = 2.42; 95% CI: 0.88–6.65) among children born in short birth intervals compared to those with nonshort intervals, although the effect was not statistically significant. However, caution is warranted due to identified heterogeneity across studies. Subgroup analysis demonstrated significant effects of short birth intervals on child malnutrition in national‐level studies and studies with larger sample sizes. These findings underscore short birth intervals as a significant contributor to child malnutrition in the Asia‐Pacific region. Implementing effective policies and programs is vital to alleviate this burden, ultimately reducing child malnutrition and associated adverse outcomes, including child mortality.

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Short birth interval in the Asia-Pacific region: A systematic review and meta-analysis

Hassen,

Chojenta,

Khan

et al. 2024

J Glob Health

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Conclusions This review's findings highlighted significant variations in the definition, measurement, classification, and reported prevalence of short birth interval across the included studies. Future research is needed to harmonise the definition and classification of short birth interval to ensure consistency and comparability across studies and facilitate the development of targeted interventions and policies.

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Heterogeneous effects of factors on child nutritional status in Bangladesh using linear quantile mixed model

Cited by 3 publications

References 31 publications

Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Effects of short birth interval on child malnutrition in the Asia‐Pacific region: Evidence from a systematic review and meta‐analysis

Short birth interval in the Asia-Pacific region: A systematic review and meta-analysis

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