[Show abstract][Hide abstract] ABSTRACT: The whole range of blood pressure (BP) has important implications. Yet, published studies focus primarily on hypertension and hypotension, the two extremes of BP continuum. This study aims at exploring quantile-specific associations of BP with common factors.The study used cross-sectional survey, collected information about gender, age, education, body mass index (BMI), alcohol intake, diet risk behavior, life event index, physical activity, fasting capillary glucose (FCG), and systolic/diastolic blood pressure (SBP/DBP) and pulse pressure (PP) from farmers living in 18 villages from rural Anhui, China, and performed descriptive and multivariate and quantile regression (QR) analysis of associations of SBP, DBP, or PP with the 9 factors surveyed.A total of 4040 (86.3%) eligible farmers completed the survey. Average hypertension prevalence rate and SBP, DBP, and PP values estimated 43.20 ± 0.50% and 141.37 ± 21.98, 87.76 ± 12.23, and 53.63 ± 15.72 mm Hg, respectively. Multivariate regression analysis revealed that all the 9 factors were significantly (P < 0.05) associated with one or more of SBP, DBP, and PP. QR coefficients of SBP, DBP, or PP with different factors demonstrated divergent patterns and age, BMI, FCG, and life event index showed substantial trends along the quantile axis.Hypertension prevalence rate was high among the farmers. QR modeling provided more detailed view on associations of SBP, DBP, or PP with different factors and uncovered apparent quantile-related patterns for part of the factors. Both the population group studied and the trends in QR coefficients identified merit specific attention.
Medicine 01/2015; 94(2):e142. DOI:10.1097/MD.0000000000000142 · 5.72 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: AIMS: . This article aims at analyzing regional differences in smoking, drinking, and physical activities in China and informing cross-regional initiatives addressing these behaviors. METHODS: . Data were extracted from available large-scale surveys. Index of dissimilarity (ID), linear correlation, and geographical mapping were used to analyze regional differences in the prevalence of smoking (PS), smoking cessation (PSC), regular drinking (PRD), and physical activities (PPA). RESULTS: . Significant differences existed across regions in all the behaviors (P < .01). IDs ranged from 0.04 to 0.42. IDs of PRD and PPA were much higher than IDs of PS and PSC. Linear correlation coefficients of the 4 indicators by regions varied substantially ranging (in absolute value) from 0.031 to 0.982. Characteristic formats of geographical distribution were found with PS, PSC, and PRD and PPA being in "high plateau," "low plateau," and "shifting" patterns, respectively. CONCLUSIONS: . Distinct regional disparities in health behavior exist, and socioculturally and contextually competitive policies and interventions are needed.
Asia-Pacific Journal of Public Health 02/2012; 27(2). DOI:10.1177/1010539512437604 · 1.46 Impact Factor