2022
DOI: 10.1016/j.diabres.2022.110044
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Dose-response association between sedentary time and incident of diabetes in Chinese middle-aged and older adults: The 4C study

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Cited by 3 publications
(3 citation statements)
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“…Binary logistic regression models were used to explore the correlation between sleep duration and the risk of hypertension and the impact of health behaviors on hypertension risk among individuals with short sleep in the Chinese population. The dose-response relationship between sleep duration and hypertension risk was assessed using restricted cubic spline models, which incorporated three nodes set at the 5th, 50th, and 95th percentiles of sedentary time (Zou et al, 2022). To further investigate the true association between short sleep and hypertension risk and to reduce the in uence of differences in baseline characteristics on the results, the present study used a 1: 1 propensity score matching (PSM) method to match participants with and without hypertension, set at a caliper value of 0.004 to ensure optimal matching results.…”
Section: Discussionmentioning
confidence: 99%
“…Binary logistic regression models were used to explore the correlation between sleep duration and the risk of hypertension and the impact of health behaviors on hypertension risk among individuals with short sleep in the Chinese population. The dose-response relationship between sleep duration and hypertension risk was assessed using restricted cubic spline models, which incorporated three nodes set at the 5th, 50th, and 95th percentiles of sedentary time (Zou et al, 2022). To further investigate the true association between short sleep and hypertension risk and to reduce the in uence of differences in baseline characteristics on the results, the present study used a 1: 1 propensity score matching (PSM) method to match participants with and without hypertension, set at a caliper value of 0.004 to ensure optimal matching results.…”
Section: Discussionmentioning
confidence: 99%
“…A restricted cubic spline model was applied to analyze the dose-response relationship between sedentary time and anxiety. The 5th, 50th, and 95th percentiles of sedentary time were selected as the three nodes in the restricted cubic spline model (Zou et al, 2022). In addition, subgroup analyses were conducted to explore the interaction between sedentary behavior and walking days on anxiety among different populations, considering variables that exhibited differences in general information comparisons.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to being inactive, it is estimated that adults spend approximately 50-60% of their waking day sedentary in a sitting, reclining, or lying position [3]. This is of concern given that high sedentary behavior (SB) is associated with increased risk of cardiovascular disease (CVD) [4,5], diabetes [6,7], cancer [8], cognitive decline [9,10], overall lower quality of life [11] and all-cause mortality [4], with these deleterious effects of too much SB being not just limited to high-income countries, but also a reality in middle and low-income countries [4]. In opposition, breaking up SB more often seems to protect against the harm of prolonged SB [12].…”
Section: Introductionmentioning
confidence: 99%