Background: High urbanicity and income are risk factors for cardiovascular-related chronic diseases in low- and middle-income countries, perhaps due to low physical activity (PA) in urban, high income areas. Few studies have examined differences in PA over time according to income and urbanicity in a country experiencing rapid urbanization.
Methods: We used data from the China Health and Nutrition Survey, a population-based cohort of Chinese adults (n = 20,083; ages 18-75y) seen a maximum of 7 times from 1991-2009. We used sex-stratified, zero-inflated negative binomial regression models to examine occupational, domestic, leisure, travel, and total PA in Chinese adults according to year, urbanicity, income, and the interactions among urbanicity, income, and year, controlling for age and region of China.
Results: We showed larger mean temporal PA declines for individuals living in relatively low urbanicity areas (1991: 500 MET-hours/week; 2009: 300 MET-hours/week) compared to high urbanicity areas (1991: 200 MET-hours/week; 2009: 125 MET-hours/week). In low urbanicity areas, the association between income and total PA went from negative in 1991 (p < 0.05) to positive by 2000 (p < 0.05). In relatively high urbanicity areas, the income-PA relationship was positive at all time points and was statistically significant at most time points after 1997 (p < 0.05). Leisure PA was the only domain of PA that increased over time, but >95% of individuals in low urbanicity areas reported zero leisure PA at each time point.
Conclusions: Our findings show changing associations for income and urbanicity with PA over 18 years of urbanization. Total PA was lower for individuals living in more versus less urban areas at all time points. However, these differences narrowed over time, which may relate to increases in individual-level income in less urban areas of China with urbanization. Low-income individuals in higher urbanicity areas are a particularly critical group to target to increase PA in China.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676871 | PMC |
http://dx.doi.org/10.1186/s12966-015-0321-2 | DOI Listing |
BMJ Open
January 2025
Economics, University of KwaZulu-Natal - Durban Campus, Durban, KZN, South Africa
Introduction/objective: Previous research on socioeconomic factors influencing health outcomes has often centred on the urban-rural divide, overlooking the nuanced variations within these categories. This study enhances our understanding by moving beyond traditional comparisons to examine the specific impacts of multiple deprivations on self-rated health across traditional authority areas, rural formal areas, urban informal areas and urban formal areas. By doing so, it captures the unique challenges and health implications associated with varying deprivation levels within these diverse contexts.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Introduction: Emergency care begins in the community, who are often the first on the scene. Where emergency care systems are nascent or absent, bystanders represent the only prehospital emergency care that victims might receive. It is important to equip bystanders through life-saving skills training (LST).
View Article and Find Full Text PDFNature
January 2025
Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.
Population studies provide insights into the interplay between the gut microbiome and geographical, lifestyle, genetic and environmental factors. However, low- and middle-income countries, in which approximately 84% of the world's population lives, are not equitably represented in large-scale gut microbiome research. Here we present the AWI-Gen 2 Microbiome Project, a cross-sectional gut microbiome study sampling 1,801 women from Burkina Faso, Ghana, Kenya and South Africa.
View Article and Find Full Text PDFPLoS One
January 2025
School of Management, Xi'an Polytechnic University, Xi'an, Shaanxi, China.
This article compares the population agglomeration characteristics of the Xi'an metropolitan area in western China with those of metropolitan areas in other regions officially approved by the Chinese government. The kernel density estimation method and Markov chain model were used to conduct the study. The results revealed that from 2010 to 2020, the population agglomeration level of the Xi'an metropolitan area showed a trend of first increasing and then decreasing.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Statistics, University of Dhaka, Dhaka, Bangladesh.
Background: Utilization of maternal health care services, specifically, antenatal care services from skilled health providers have been given utmost priority in low- and middle-income countries over years with a view of mitigating complications during pregnancy as well as safeguarding the health and survival of both mother and newborn. However, there is a general tendency of pregnant mothers in Bangladesh of receiving skilled antenatal care (SANC) service once, or even never which refrains us to ensure World Health Organization (WHO) recommended eight plus SANC visits, additionally, to meet Sustainable Development Goal (SDG) number three.
Objectives: The study aims at assessing how the average number of SANC visits taken by the reproductive women in Bangladesh changes over the time in rural and urban areas together with finding out the potential demographic and socio-economic factors associated with SANC visits by addressing possible accumulation of zero and one counts in SANC visits.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!