Low-income and overweight in China: Evidence from a life-course utility model

Ren, Yanjun; Campos, Bente Castro; Loy, Jens‐Peter; Brosig, Stephan

doi:10.1016/s2095-3119(19)62691-2

Cited by 14 publications

(11 citation statements)

References 40 publications

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“…The turning points for females are lower than are those for males; this indicates that females tend to change their dietary patterns earlier in the process of urbanization. In line with previous studies, females are more likely to adjust their behavior toward better nutrition-related health [ 49 ]. Moreover, regarding the effect of urbanization on the HEI, urbanization has a higher effect for females than it has for males.…”

Section: Resultssupporting

confidence: 89%

“…Another aspect is the increasing numbers of rural residents that are migrating to urban areas for work, accounting for roughly 20% of the national total population in 2018. From the perspective of nutrition transition, people living in developed regions tend to have healthier food consumption behaviors and nutrition intakes; in addition, they are more likely to change their unhealthy consumption behaviors earlier [ 49 , 54 ]. Rural residents who are non-migrants and remain in rural areas usually experience nutrition transition because of economic development or urbanization.…”

Section: Discussionmentioning

confidence: 99%

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Nutrition Transition with Accelerating Urbanization? Empirical Evidence from Rural China

et al. 2021

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Although rapid urbanization is often considered as one of the most important drivers for changing dietary patterns, little attention has been paid to rural areas despite the profound transformation they have undergone. Using longitudinal data from the China Health and Nutrition Survey (CHNS) for the period from 2004 to 2011, this study seeks to better understand the relationship between the urbanization of rural areas and dietary transition, with the focus on nutrition intake and dietary quality. Our results suggest that with increasing urbanization, rural residents tend to have on average lower calorie intakes but higher dietary quality. Specifically, increasing urbanization consistently reduces carbohydrate consumption and reduces fat consumption after a turning point; protein consumption first decreases and then increases after the turning point with increasing urbanization. Urbanization shows a significant and positive effect on the Healthy Eating Index (HEI). In addition to sociodemographic changes, we find that changing consumer preferences and knowledge serve as important determinants in explaining the dietary transition in rural China from 2004 to 2011. In our study, urbanization appears to positively affect rural residents’ healthy food preferences and dietary knowledge. This study is a first attempt for better understanding the nutrition transition resulting from accelerating urbanization in rural China; several limitations and areas for future research have been highlighted.

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Section: Resultssupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Nutrition Transition with Accelerating Urbanization? Empirical Evidence from Rural China

et al. 2021

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“…It also found that students with relatively low household incomes were more likely to be obese than non-overweight students compared to those with high monthly incomes. This finding was consistent with previous studies that revealed a negative association between income and obesity in China [ 56 , 57 ], and the burden of disease may shift to those of lower socioeconomic status in the future [ 56 , 57 ]. Likewise, studies from Europe and the USA also reported that decreasing family income and socioeconomic indicators were related to increasing the risk of childhood obesity and being overweight [ 58 ]; however, in low- and middle-income countries, affluence is positively associated with obesity [ 59 ].…”

Section: Discussionsupporting

confidence: 93%

The Interactive Role of Family Functioning among BMI Status, Physical Activity, and High-Fat Food in Adolescents: Evidence from Shanghai, China

et al. 2022

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Objectives: Family functioning (FF), physical activity (PA), and high-fat food consumption (HF) are associated with adolescents being overweight and obese; however, little is known about their interactions. Therefore, this study aimed to examine how they work jointly on adolescent obesity with BMI as the outcome variable. Methods: A cross-sectional survey utilizing a cluster sampling design was conducted. Multinomial logistic regressions, multiplication interaction (MI), and marginal effects (MEs) were tested. Results: Active PA (non-overweight vs. obesity: OR = 2.260, 95% CI [1.318, 3.874]; overweight vs. obesity: OR = 2.096, 95% CI [1.167, 3.766]), healthy HF (non-overweight vs. obesity: OR = 2.048, 95% CI [1.105, 3.796]) and healthy FF (overweight vs. obesity: OR = 2.084, 95% CI [1.099, 3.952]) reduced obesity risk. Overweight students with healthy FF were less likely to become obese regardless of PA (inactive: OR = 2.181, 95% CI [1.114, 4.272]; active: OR = 3.870, 95% CI [1.719, 8.713]) or HF (unhealthy: OR = 4.615, 95% CI [1.049, 20.306]; healthy: OR = 5.116, 95% CI [1.352, 19.362]). The MEs of inactive PA and unhealthy FF were −0.071, 0.035, and 0.036 for non-overweight, overweight, and obese individuals, respectively (p < 0.05); the MEs of HF and healthy FF individuals were −0.267 and 0.198 for non-overweight and obese individuals, respectively (p < 0.05). Conclusions: Unhealthy FF regulated the influence of inactive PA or unhealthy HF on adolescent obesity, altogether leading to a higher risk of obesity.

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“…This difference may be due to systematic differences in income structure, living habits, and dietary intake between rural and urban residents. Previous studies also found that the relationship between income and nutrition outcomes is opposite in rural and urban China ( 43 , 44 ). We also found that one of the important reasons is that Internet use increased the risk of overweight and obesity was to reduce the frequency of physical activity among respondents.…”

Section: Discussionmentioning

confidence: 85%

The effect of Internet use on nutritional intake and health outcomes: new evidence from rural China

Deng,

Liu,

Hong

et al. 2024

Front. Nutr.

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IntroductionInternet use is changing nutritional intake and health outcomes, but the results are mixed, and less attention is given to the rural developing regions. Based on the China Health and Nutrition Survey (CHNS) data from 2004 to 2015, this study seeks to better understand the effect of Internet use on nutritional intake and health outcomes.MethodsAn instrumental variable estimation is used to address endogeneity problem.ResultsThe results show that Internet use improves the dietary knowledge of rural residents, and thus has a positive impact on dietary quality, such as healthy eating index (HEI) and dietary diversity score (DDS). The higher the dietary quality, the better the nutritional health status. However, results also show that Internet use increases the risk of overweight, and obesity among rural Chinese residents. Because Internet use has significantly reduced the physical activity of rural residents in China. Interestingly, we also find that the Internet increases the risk of chronic diseases such as diabetes and high blood pressure, but there is a positive causal relationship between Internet use and the self-assessment score of health.DiscussionOur findings suggest that there may be a serious lack of awareness of the health risks of chronic diseases among Chinese rural residents. Therefore, policymakers are suggested to consider the possible negative effects when promoting digital development.

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Low-income and overweight in China: Evidence from a life-course utility model

Cited by 14 publications

References 40 publications

Nutrition Transition with Accelerating Urbanization? Empirical Evidence from Rural China

Nutrition Transition with Accelerating Urbanization? Empirical Evidence from Rural China

The Interactive Role of Family Functioning among BMI Status, Physical Activity, and High-Fat Food in Adolescents: Evidence from Shanghai, China

The effect of Internet use on nutritional intake and health outcomes: new evidence from rural China

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