Socioeconomic inequality in excessive body weight in Indonesia

Aizawa, Toshiaki; Helble, Matthias

doi:10.1016/j.ehb.2017.09.005

Cited by 29 publications

(24 citation statements)

References 28 publications

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“…Better sanitary conditions also had a significant impact on children’s growth. Previous literature has shown that inadequate sanitation might increase the risk of enteric infections and diarrhea, which further disrupts energy absorption, with a negative impact on children’s growth [ 42 ]. In addition, parents’ education attainment had a significant impact on children’s growth.…”

Section: Discussionmentioning

confidence: 99%

Growth and Weight Status in Chinese Children and Their Association with Family Environments

Tian

Wang

2021

Children

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The growth status and weight status of Chinese children have experienced remarkable changes in the past decades. Using China Health and Nutrition Survey (CHNS) data, this paper examines the secular trends and disparity of the growth status and weight status in Chinese children and further investigates the impact of various family environments on children’s growth from 1991 to 2011. We found an increasing trend in standardized growth indicators (height, weight, and BMI), overweight, and obesity from 1991 to 2011. We also observed an increasing disparity in overweight and obesity over time. Family environments had a significant impact on children’s growth status and weight status. In particular, children that live in families with a small size, higher family income, better sanitary conditions, and with well-educated parents or overweight parents tended to be taller and heavier and have a higher BMI, lower risk of being underweight, and higher risk of exhibiting overweight and obesity. Further decomposition analysis showed that more than 70% of the disparity in standardized height, weight, and overweight and around 50% of the disparity in standardized BMI, underweight, and obesity could be attributed to heterogeneity in family environments. Moreover, the disparity associated with family environments tended to increase over time.

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Section: Discussionmentioning

confidence: 99%

Growth and Weight Status in Chinese Children and Their Association with Family Environments

Tian

Wang

2021

Children

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“…BMI is calculated from the height and weight of an individual, that is to say, the ratio of the weight in kilograms divided by the square of the height in meters. All other covariates were based on previous empirical studies that have shown evidence of factors that can affect the BMI [22,26,[35][36][37][38]. In the analysis, we used the natural log of BMI.…”

Section: Variablesmentioning

confidence: 99%

Does prolonged television viewing affect Body Mass Index? A case of the Kingdom of Saudi Arabia

et al. 2020

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Background The rising prevalence of overweight and obesity and their health implications is a major public health concern worldwide. This study set out to understand the relationship between the number of hours spent watching television and Body Mass Index (BMI) in the Kingdom of Saudi Arabia using data from the Saudi Health Interview Survey. Methods The study employed both ordinary least squares and quantile regressions to estimate the mean and distributional association of prolonged television watching and BMI. Results The findings showed that prolonged television viewing is associated with larger BMI values. Additionally, the relationship was found to be greater towards the lower and upper tails of the BMI range and insignificant in the middle of the BMI distribution. Furthermore, the findings also showed that there is a gender gap in BMI levels, where females are likely to have higher BMI values than males. Conclusions The creation of more proactive recreational programs that can act as substitutes to television watching is recommended in order to reduce the amount of time that individuals spend watching television. It is also recommended that such interventions are tailored towards improving females' levels of physical activity. The inclusion of television programs aimed at encouraging physical exercise and healthy diets is also imperative.

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“…The independent variables were based on previous studies that indicated factors associated with the BMI [1,[51][52][53][54][55][56]. To measure socioeconomic status, we used the grouped monthly income in six categories: less than Saudi riyal (SR) 3000 (reference category), SR 3000 to less than 5000, SR 5000 to less than 7000, SR 7000 to less than 10,000, SR 10,000 to less than 15,000, and SR 15,000 or more.…”

Section: Variablesmentioning

confidence: 99%

Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data

Al-Hanawi

Chirwa

Kamninga³

2020

IJERPH

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Understanding gender differences in body mass index (BMI) between males and females has been much debated and received considerable attention. This study aims to decompose gender differentials in the BMI of people of the Kingdom of Saudi Arabia. The study decomposed the BMI gender gap into its associated factors across the entire BMI distribution by using counterfactual regression methods. The main method of analysis was newly developed unconditional quantile regression-based decomposition, which applied Blinder–Oaxaca decomposition using data from the Saudi Health Interview Survey. Gender differentials were found in the BMI, with females showing a higher BMI than males. The aggregate decomposition showed that both the covariate effect and the structural effect were significant at the 25th and 50th quantiles. Detailed decomposition indicated that income level and employment status as well as soda consumption and the consumption of red meat were significantly correlated in explaining gender differentials in BMI across various quantiles, but the magnitude varied by quantile. Our study suggests the government should consider introducing programs that specifically target women to help them reduce BMI. These programs could include organizing sporting events at the workplace and at the national level. Furthermore, the effect of soda consumption could be reduced by levying a tax on beverages, which might reduce the demand for soda due to the increased price.

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Socioeconomic inequality in excessive body weight in Indonesia

Cited by 29 publications

References 28 publications

Growth and Weight Status in Chinese Children and Their Association with Family Environments

Growth and Weight Status in Chinese Children and Their Association with Family Environments

Does prolonged television viewing affect Body Mass Index? A case of the Kingdom of Saudi Arabia

Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data

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