ArticleFrontiers in public health2022
Urban living and chronic diseases in the presence of economic growth: Evidence from a long-term study in southeastern China.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
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- How happy is healthy enough? Uncovering the happiness threshold for global non-communicable disease prevention.Frontiers in medicine · 2025Article
- Effects of mobile Internet use on the health of middle-aged and older adults: evidences from China health and retirement longitudinal study.BMC public health · 2024Article
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- Association of resistome abundance with hyperuricaemia in elderly individuals: a metagenomics study.Frontiers in microbiomes · 2024Article
- Examining therapeutic inertia patterns in type 2 diabetes patients with multiple chronic conditions: Time-to-event analysis.Journal of multimorbidity and comorbidityArticle
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Abstract
High-speed urban development has brought about an increase in per capita income in low- and middle-income countries (LMICs) as well as the high prevalence rate of chronic diseases. Based on a study of chronic diseases from 2011 to 2021 in southeastern China, we used multivariate adjusted logistic regression method to analyze the effect of urban living on the incidence of typical chronic diseases and the trend of such effect with the improvement of public healthcare system. We adopted potential mediating risk factors of urban lifestyles including body mass index (BMI), frequency of dining out, sedentary time, and psychological distress in the adjusted estimation. Baseline results indicate a positive relationship between living in urban areas and the prevalence of type 2 diabetes, hyperlipidemia, and hypertension. Regarding the mediating factors, psychological distress had the highest positive coefficient (Cr) on type 2 diabetes, hyperlipidemia, and hypertension (Cr: 0.4881-0.7084), followed by BMI (Cr: 0.1042-0.1617) and frequency of dining out (Cr: 0.0311-0.0478), and finally, sedentary time (Cr: 0.0103-0.0147). However, regression results on the follow-up survey reveal that trend in the impact of living in urban areas on chronic disease diminished as the level of the healthcare system improved. Additionally, urban living was more positively correlated with the incidence of metabolic disease than with the incidence of cardiovascular disease and cancer. Our findings provide empirical evidence that future urban health planning in LMICs should pay sustained attention to upgrading the level of public health infrastructure covering urban residents as well as rural-to-urban migrants, constructing a long-term dynamic system of chronic disease prevention and control, and regularly monitoring the mental health problems of residents in order to interrupt the process of urban chronic disease prevalence in an early stage.
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