Socioeconomic disparities in the prevalence of depression and anxiety, and their associations with diabetes in rural southwest China

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 18, 2025

This study examines how the prevalence of depression and anxiety symptoms differ by socioeconomic status explores their associations with diabetes in rural southwest China. Data were collected from a cross-sectional health interview examination survey 5,005 adults aged ≥ 35 years Height, weight, waist circumference, fasting blood glucose measurement taken. Depression assessed using Zung's Self-rating Scale (SDS) Self-Rating Anxiety (SAS), respectively. An individual position (SEP) index was constructed principal component analysis. The overall depression, anxiety, comorbid symptoms, 5.4%, 12.8%, 4.0%, 9.6%, Females had higher (7.3% vs. 3.4%, P < 0.01), (17.4% 8.1%, (5.8% 2.3%, 0.01) than males. Han ethnicity participants ethnic minority (P 0.01). Individuals lower education level SEP more likely to experience while individuals good access medical services exhibit 0.05). Multivariable logistic regression analysis found that (OR = 1.78, 95% CI: 1.25 2.53), 1.66, 1.30 2.16), 1.61, 1.07 2.44) all greater probability having 0.01); strongest association There are significant differences China, both have strong diabetes. Future prevention management strategies should focus on symptoms.

Language: Английский

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Analysis of spatial distribution characteristics and driving factors of ethnic-minority villages in China using geospatial technology and statistical models

Journal of Mountain Science, Journal Year: 2024, Volume and Issue: 21(8), P. 2770 - 2789

Published: Aug. 1, 2024

Language: Английский

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Spatial temporal evolution characteristics of defensive traditional community in Southwest China with a case study of Chengzi village in Yunnan

Published: May 16, 2025

Language: Английский

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The Spatial Patterns and Architectural Form Characteristics of Chinese Traditional Villages: A Case Study of Guanzhong, Shaanxi Province

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9491 - 9491

Published: Oct. 31, 2024

This study examined the decline of traditional villages due to urbanization, focusing on their spatial patterns and architectural characteristics in China, particularly Guanzhong region. Using ArcGIS tools, kernel density nearest-neighbor analyses quantitatively assessed distribution these at macro- micro-levels. Additionally, 3D laser scanning was employed qualitatively analyze features. The demonstrated that (1) are unevenly clustered nationwide, primarily southeast southwest, creating a “three cores multiple points” pattern. (2) In region, village also shows clustering with diverse patterns, including regiment, belt, point formations. Higher densities found eastern northern regions, while west south sparsely populated. Most located altitudes 501–700 m, slopes 6–15°, near water sources. (3) basic residential structures included single, vertical multi-entry, horizontal coupled courtyards, as well interleaved layouts; buildings typically featured foundations walls made earth, stone, brick, combined various wooden frames single- or double-sloped roofs. overcomes limitations literature field surveys by analyzing forms from an perspective. It graphically presents data provide efficient practical theoretical basis for heritage preservation development villages.

Language: Английский

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Multi-Dimensional Influencing Factors of Spatial Evolution of Traditional Villages in Guizhou Province of China and Their Conservation Significance

Buildings, Journal Year: 2024, Volume and Issue: 14(10), P. 3088 - 3088

Published: Sept. 26, 2024

As a model of the symbiotic wisdom between humans and nature, traditional villages carry rich historical cultural values in their existence. However, rapid urbanization process has led to destruction even disappearance many villages, surviving urgently need cope with severe challenge protecting original ecology environment. To preserve heritage it is necessary investigate geographic distribution influencing factors. We have conducted research statistics on using Geographic Information System (GIS) spatial analysis technology (GIS), described detail complex interrelationships among natural, social, variables evolution analyzed relevant factors qualitatively quantitatively. The results show that (1) terms geographical distribution, Guizhou tend exhibit high degree agglomeration clustering, structure characterized by “small aggregation scattering, cores few peripheries”. (2) Most appeared after end Qing Dynasty. (3) Natural influence design layout settlements, socioeconomic culture settlements. These also formation changes distribution. This study provides scientific basis for sustainable development Province. It explores new way protect patterns villages.

Language: Английский

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