Maternal nutritional status (as measured by height, weight and BMI) in Bangladesh: trends and socio-economic association over the period 1996 to 2007

Mohsena, Masuda; Goto, Rie; Mascie-Taylor, CG Nicholas

doi:10.1017/s1368980015002839

Cited by 12 publications

(18 citation statements)

References 18 publications

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“…Our findings that socio-economic variables are important determinants of nutritional status are similar to those of earlier studies examining these associations in Bangladesh. Household wealth status (22,27,28) and higher educational attainment (7,(27)(28)(29)31,36,39,40) are wellestablished determinants of nutritional status. Like ours, earlier studies also reported that women in households with low socio-economic status experience a greater risk of underweight status and those in households with high socio-economic status experience a higher risk of being overweight/obese (27,41) .…”

Section: Discussionmentioning

confidence: 99%

Levels and correlates of nutritional status of women of childbearing age in rural Bangladesh

Khanam

Lee

Ram

et al. 2018

Public Health Nutr.

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The study documented high underweight and stunting, and moderate overweight/obesity rates among rural Bangladeshi women; and recommends design and implementation of a multidimensional intervention programme based on individual-, household- and community-level risk factors that can address underweight, stunting and overweight/obesity to improve the nutritional status of women of childbearing age in Bangladesh.

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Section: Discussionmentioning

confidence: 99%

Levels and correlates of nutritional status of women of childbearing age in rural Bangladesh

Khanam

Lee

Ram

et al. 2018

Public Health Nutr.

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“…This study examined the relationship between selected socioeconomic and demographic variables and the nutritional status of under-five-year-old children in four Bangladesh Demographic Health Surveys conducted between 1996 and 2007. 199620002004199620002004199620002004 Stunted Wasted severely undernourised ( Z-score <-3.00)…”

Section: Discussionmentioning

confidence: 99%

“…In order to determine the most effective strategies for reducing the burden of malnutrition and accelerating development, it is important that the determinants of malnutrition are known (Mohsena et al, 2016). Moreover, the relationship between socioeconomic and demographic status and nutrition has important policy implications since international agencies currently tend to disregard nutritional status (as measured by anthropometry) as being a good predictor of poverty.…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic and Demographic Variation in Nutritional Status of Under-Five Bangladeshi Children and Trend Over the Twelve-Year Period 1996–2007

2016

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The nutritional status of under-five-year-old children is a sensitive indicator of a country's health status as well as economic condition. The objectives of this study were to analyse trends in the nutritional status in Bangladeshi children over the period 1996-2007 and to examine the associations between nutritional and socioeconomic status variables. Bangladesh Demographic Health Surveys (BDHS) were the source of data, and a total of 16,278 children were examined. The Z-scores of the children were analysed as continuous as well as categorical variables (stunted, underweight and wasted). The socioeconomic status variables used were region, urban-rural residence, education and occupation of the parents, house type and household possession score. A series of General Linear Model and Sequential Linear and Binary Logistic Regression analyses were done to assess the relationship between demographic and socioeconomic variables and nutritional status. The trends of Z-scores were analysed by survey, as well as by child birth cohort. Region, house type, educational level of parents and household possession score showed significant associations with all three Z-scores of children after removing the effects of age, period of DHS and other explanatory variables in the model. No significant sex difference was observed between any of the Z-scores. There were improvements in mean WAZ and HAZ between 1996 and 2007 but deterioration in mean WHZ over this period. The obesity rate was below 2% in 2007, although the absolute numbers of obese children had nearly doubled in this 12-year period. Children from poorer households showed greater improvement than their better-off counterparts. The study reveals that over the years there has been substantial improvement in nutritional status of under-five children in Bangladesh and the main gains have been amongst the lower socioeconomic groups; it is also evident that malnutrition in Bangladesh is a multidimensional problem, like poverty itself, and warrants a proper policy mix and programme intervention.

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“…The findings of this study suggest that caution should be used when reporting only the mean as a summary measure, especially when improving health equity is a goal. Several studies have interpreted increases in mean as an indication of an improvement in health and development conditions [ 38 , 69 , 70 ]; however, this interpretation is only valid at a population level following the assumption that the variance stays constant around the mean. In our study, 26 countries exhibited an overall increase in mean height across birth cohorts, but our examination of the variance provides a much more nuanced picture.…”

Section: Discussionmentioning

confidence: 99%

Distributional change of women’s adult height in low- and middle-income countries over the past half century: An observational study using cross-sectional survey data

et al. 2018

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BackgroundAdult height reflects childhood circumstances and is associated with health, longevity, and maternal–fetal outcomes. Mean height is an important population metric, and declines in height have occurred in several low- and middle-income countries, especially in Africa, over the last several decades. This study examines changes at the population level in the distribution of height over time across a broad range of low- and middle-income countries during the past half century.Methods and findingsThe study population comprised 1,122,845 women aged 25–49 years from 59 countries with women’s height measures available from four 10-year birth cohorts from 1950 to 1989 using data from the Demographic and Health Surveys (DHS) collected between 1993 and 2013. Multilevel regression models were used to examine the association between (1) mean height and standard deviation (SD) of height (a population-level measure of inequality) and (2) median height and the 5th and 95th percentiles of height. Mean-difference plots were used to conduct a graphical analysis of shifts in the distribution within countries over time. Overall, 26 countries experienced a significant increase, 26 experienced no significant change, and 7 experienced a significant decline in mean height between the first and last birth cohorts. Rwanda experienced the greatest loss in height (−1.4 cm, 95% CI: −1.84 cm, −0.96 cm) while Colombia experienced the greatest gain in height (2.6 cm, 95% CI: 2.36 cm, 2.84 cm). Between 1950 and 1989, 24 out of 59 countries experienced a significant change in the SD of women’s height, with increased SD in 7 countries—all of which are located in sub-Saharan Africa. The distribution of women’s height has not stayed constant across successive birth cohorts, and regression models suggest there is no evidence of a significant relationship between mean height and the SD of height (β = 0.015 cm, 95% CI: −0.032 cm, 0.061 cm), while there is evidence for a positive association between median height and the 5th percentile (β = 0.915 cm, 95% CI: 0.820 cm, 1.002 cm) and 95th percentile (β = 0.995 cm, 95% CI: 0.925 cm, 1.066 cm) of height. Benin experienced the largest relative expansion in the distribution of height. In Benin, the ratio of variance between the latest and earliest cohort is estimated as 1.5 (95% CI: 1.4, 1.6), while Lesotho and Uganda experienced the greatest relative contraction of the distribution, with the ratio of variance between the latest and earliest cohort estimated as 0.8 (95% CI: 0.7, 0.9) in both countries. Limitations of the study include the representativeness of DHS surveys over time, age-related height loss, and consistency in the measurement of height between surveys.ConclusionsThe findings of this study indicate that the population-level distribution of women’s height does not stay constant in relation to mean changes. Because using mean height as a summary population measure does not capture broader distributional changes, overreliance on the mean may lead investigators to underestimate disparities...

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Maternal nutritional status (as measured by height, weight and BMI) in Bangladesh: trends and socio-economic association over the period 1996 to 2007

Cited by 12 publications

References 18 publications

Levels and correlates of nutritional status of women of childbearing age in rural Bangladesh

Levels and correlates of nutritional status of women of childbearing age in rural Bangladesh

Socioeconomic and Demographic Variation in Nutritional Status of Under-Five Bangladeshi Children and Trend Over the Twelve-Year Period 1996–2007

Distributional change of women’s adult height in low- and middle-income countries over the past half century: An observational study using cross-sectional survey data

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