2021
DOI: 10.1016/j.socscimed.2020.113570
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Exploring the macroeconomic and socioeconomic determinants of simultaneous over and undernutrition in Asia: An analysis of stunted child - overweight mother households

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Cited by 10 publications
(19 citation statements)
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“…Finally, we included as model covariates the prevalence of child stunting and mother overweight estimated by country, year, urban versus rural region, and wealth index quintile group and tested their relative contribution to the model fit. 9 This sensitivity analysis was done to address concerns that associations with stunted child-overweight mother pairs are only attributed to the underlying trends of overweight and stunting in the population and are not a distinct issue. 20 Statistical analyses were done using Stata, version 15.…”
Section: Discussionmentioning
confidence: 99%
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“…Finally, we included as model covariates the prevalence of child stunting and mother overweight estimated by country, year, urban versus rural region, and wealth index quintile group and tested their relative contribution to the model fit. 9 This sensitivity analysis was done to address concerns that associations with stunted child-overweight mother pairs are only attributed to the underlying trends of overweight and stunting in the population and are not a distinct issue. 20 Statistical analyses were done using Stata, version 15.…”
Section: Discussionmentioning
confidence: 99%
“…For example, analyses in upper-middle-income countries in Latin America have shown that DBM is associated with lower socioeconomic status, [6][7][8] whereas evidence from mainly lower-middle-income countries in Asia has shown that DBM is associated with higher socio economic status. [9][10][11] No previous analysis has investigated associations Lowest-income household between globalisation and DBM. Social globalisation has been associated with higher BMI and prevalence of overweight and obesity.…”
Section: Discussionmentioning
confidence: 99%
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“…Similar analysis among South-East Asian countries further supports diversity between the socioeconomic predictors of SCOM, overweight and stunted households, although identified predictors are not consistent with the findings of this study. 36 This suggests that each malnutrition issue may be the result of different socioeconomic circumstances and should be handled uniquely, while it further highlights the importance of region-specific analyses when investigating socioeconomic predictors of the DBM.…”
Section: Discussionmentioning
confidence: 99%