Factors affecting childhood immunization in Lao People's Democratic Republic: A cross-sectional study from nationwide, population-based, multistage cluster sampling

Background: Cardiometabolic index (CMI) is associated with several risk factors for stroke; however, few studies have assessed the role of CMI in stroke risk. Objective: This study aimed to assess the association between CMI and stroke in a population-based cross-sectional study. Methods: This study included 4445 general residents aged ≥40 years selected by multistage stratified random cluster sampling. CMI was calculated as the product of the ratio of waist circumference to height (WHtR) and the ratio of triglyceride levels to high-density lipoprotein cholesterol levels (TG/HDL-C). Participants were categorized according to CMI quartiles: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4). Multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between CMI and stroke. Results: A total of 4052 participants were included in the study, with an overall stroke prevalence of 7.2%. The prevalence of stroke increased with CMI quartiles, ranging from 4.4% to 9.2% (p for trend <0.001). Compared with Q1, stroke risk for Q2, Q3, and Q4 were 1.550-, 1.693-, and 1.704- fold, respectively. The area under the ROC curve (AUC) [95% CI] was (0.574 [0.558−0.589]) for CMI, 0.627 [0.612−0.642]) (p=0.0024) for WHtR, 0.556 [0.540−0.571]) (p<0.0001) for TG/HDL-C. CMI was inferior to WHtR, but CMI had marginal advantage over TG/HDL-C in terms of its stroke discrimination ability. Conclusion: Although there was a strong and independent association between CMI and stroke in the general population, CMI had limited discriminating ability for stroke. Thus, new parameters should be developed.

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Relationship between sleep duration and hypertension in northeast China: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2018-023916 ◽

2019 ◽

Vol 9 (1) ◽

pp. e023916 ◽

Cited By ~ 5

Author(s):

Meng Li ◽

Shoumeng Yan ◽

Shan Jiang ◽

Xiaoyu Ma ◽

Tianyu Gao ◽

...

Keyword(s):

Blood Pressure ◽

Sleep Duration ◽

Northeast China ◽

Total Sample ◽

Population Based ◽

Cross Sectional Study ◽

Cluster Sampling ◽

Sectional Study ◽

Short Sleep Duration ◽

Cross Sectional

ObjectivesPrevious studies have reported that sleep duration might increase the risk of hypertension. However, the results have been conflicting. We investigated whether sleep duration is independently associated with hypertension. We aimed to assess the relationship between sleep duration and hypertension in a population-based cross-sectional study.MethodsIn this study we used multistage stratified cluster sampling. A total of 19 407 adults aged 18–79 years were enrolled in the study. The participants were divided into three groups (<7 hours/day, 7–8 hours/day and >8 hours/day) according to self-reported sleep duration. Hypertension was defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg or the use of anti-hypertensive medications. Univariate and multivariate logistic regressions were performed to determine the association between hypertension and sleep duration adjusted for sociodemographic, body mass index, and lifestyle covariates.ResultsThe overall prevalence of hypertension was 32.6%. Among participants aged 18–44 years, individuals sleeping less than 7 hours per day had a higher risk of hypertension (OR=1.24, 95% CI: 1.05 to 1.46), compared with those who slept 7–8 hours per day. There were no significant associations between sleep duration and hypertension in the total sample, among middle-aged adults (45–59 years) or older adults (60–79 years).ConclusionsOur study demonstrates that short sleep duration was significantly associated with hypertension among people aged 18–44 years in northeast China.

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