ArticleBMC public health2016
Spatial analysis of gender variation in the prevalence of hypertension among the middle-aged and elderly population in Zhejiang Province, China.
Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Impact of smart healthcare on the physical and mental health of older adults Chinese patients with chronic diseases under the background of "Internet Plus": analysis of data from the China family panel studies.Frontiers in public health · 2025Article
- The differential effects of dynamic, static, and combined activities in forest bathing on health outcomes by gender in older adults: evidence from a national forest park trial.Frontiers in psychology · 2025Article
- Hypertension prevalence in Iran's elderly according to new criteria: the Tehran Geriatric Eye Study.Journal of diabetes and metabolic disorders · 2023Article
- Bayesian Spatial Modeling of Diabetes and Hypertension: Results from the South Africa General Household Survey.International journal of environmental research and public health · 2022Article
- Association of long-term exposure to PMBMC public health · 2022Article
- Article
- Application of SCM with Bayesian B-Spline to Spatio-Temporal Analysis of Hypertension in China.International journal of environmental research and public health · 2018Article
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3 authors.
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Abstract
backgroundPrevious studies have shown that there may be gender disparities in the prevalence of hypertension; however, these studies do not address the spatial information contained in the sample which may limit the analytical results. Our study extends the existing Shared Component Model (SCM) and compares its utility with a logistic regression model to evaluate the significance of spatial information for identifying risk factors for hypertension and other non-rare diseases.
methodsA total of 1267 residents aged 45 years of age and over were included in our study, of which 48.1 % were males. The overall prevalence of hypertension was 33.2 %, with females experiencing a higher prevalence than males (35.5 % vs. 30.6 %). The research variables included body mass index (BMI), Waist -to-Height Ratio (WHtR), smoking status, alcohol consumption etc. The extended SCM is employed to investigate regional gender variations in the risk of hypertension and assess the gender variation in the middle-aged and elderly populations of Zhejiang Province in eastern China and then its performance is compared with that of a traditional multiple logistic regression model.
resultsOur SCM analysis determined that the spatial pattern of hypertension risk for the middle-aged and elderly populations of Zhejiang Province in eastern China is quite different for males and females. Furthermore, Waist -to-Height Ratio (WHtR) continues to be a simple and effective predictor of hypertension risk for males at the regional level.
conclusionsWe believe that the extended SCM spatial model is a useful tool for identifying risk factors at the regional level.
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