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  • Wang, Zengwu  (3)
  • Zhou, Wei  (3)
  • 2020-2024  (3)
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  • 2020-2024  (3)
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  • 1
    In: Journal of Human Hypertension, Springer Science and Business Media LLC, Vol. 36, No. 8 ( 2022-08), p. 775-780
    Type of Medium: Online Resource
    ISSN: 0950-9240 , 1476-5527
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2006792-6
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  • 2
    In: The Journal of Clinical Hypertension, Wiley, Vol. 22, No. 1 ( 2020-01), p. 65-73
    Abstract: We aimed to examine whether hypertension status modified the association between sleep duration and stroke among middle‐aged and elderly population. This cross‐sectional study included 10 516 participants aged ≥45 years from the China Hypertension Survey study. Sleep duration and history of stroke were assessed by questionnaires. Multivariate logistic regression analyses, a generalized additive model (GAM) and smooth curve fitting (penalized spline method) and a two‐piecewise logistic regression models were performed to evaluate the association between sleep duration and stroke in different status of hypertension. 95% confidence interval (CI) for turning point was obtained by bootstrapping. Multiple logistic analyses showed that per 1 hour increase in sleep duration was associated with a 37% increased prevalence of stroke among participants without hypertension and associated with a 8% increased prevalence of stroke among hypertensive participants (without hypertension: odds ratio [OR] = 1.37, 95% CI 1.09‐1.71; with hypertension: OR = 1.08, 95% CI 0.95‐1.21; P Interaction  = .029). The fully adjusted smooth curves presented a linear association between sleep duration and stroke among participants without hypertension, but a threshold, nonlinear association among hypertensive participants. The turning point for the curve was found at a sleep duration of 8 (95% CI 5‐9) h among hypertensive patients. The ORs (95% CIs) for stroke were 0.92 (0.79, 1.06) and 1.60 (1.23, 2.08) to the left and right of the turning point, respectively. In conclusion, we found a linear association between sleep duration and stroke among middle‐aged and elderly participants without hypertension, but a threshold, nonlinear association among hypertensive participants.
    Type of Medium: Online Resource
    ISSN: 1524-6175 , 1751-7176
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2058690-5
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  • 3
    In: BMC Cardiovascular Disorders, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2020-12)
    Abstract: To date, the best adiposity index that predicts or associates strongly with hypertension remains controversial. Therefore, we aimed to compare the performance of different adiposity indices [BMI (body mass index), WC (waist circumference), WHtR (waist-to-height ratio), ABSI (a body shape index), VAI (visceral adipose index), BFP (body fat percentage)] as associates and potential predictors of risk of hypertension among Chinese population. Methods A cross-sectional survey was conducted in Jiangxi province, China from 2013 to 2014. A total of 14,573 participants were included in the study. The physical measurements included body height, weight, WC, BFP and VAI. Multivariate logistic regression analysis was performed to assess the associations between different adiposity indices and the prevalence of hypertension. Receiver operating characteristic (ROC) analysis was also performed. Results All adiposity indices were independently and positively associated with the prevalence of hypertension in a dose response fashion. The area under the curves (AUCs) for WHtR, BFP and VAI were significantly larger than those for other adiposity indices in both males and females (all P   〈  0.01). For males, no statistically significant difference was found in AUCs among WHtR and BFP (0.653 vs. 0.647, P  = 0.4774). The AUC of WHtR was significantly higher than VAI (0.653 vs. 0.636, P   〈  0.01). For females, the AUCs demonstrated that WHtR was significantly more powerful than BFP and VAI (both P   〈  0.05) for predicting hypertension [WHtR, 0.689 (0.677–0.702); BFP, 0.677 (0.664–0.690); VAI, 0.668 (0.655–0.680)]. Whereas no significant differences were found in AUCs for hypertension among BFP and VAI in both sexes (all P   〉  0.1). The AUCs for hypertension associated with each adiposity index declined with age in both males and females. For subjects aged 〈  65 years, WHtR still had the largest AUC. However, for participants aged ≥65 years, BMI had the largest AUC. Conclusion The findings indicated that WHtR was the best for predicting hypertension, followed by BFP and VAI, especially in younger population.
    Type of Medium: Online Resource
    ISSN: 1471-2261
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2059859-2
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