Association between physical activity and risk of obstructive sleep apnea

Duan, Xueru; Zheng, Murui; He, Shangfei; Lao, Lixian; Huang, Jun; Zhao, Wenjing; Lao, Xiang Qian; Deng, Hai; Liu, Xudong

doi:10.1007/s11325-021-02318-y

Cited by 13 publications

(28 citation statements)

References 26 publications

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“…The data of this study was derived from the baseline survey of Guangzhou Heart Study (GZHS), an ongoing population-based prospective cohort study. The GZHS baseline survey was conducted from 2015 to 2017, and 12,013 subjects aged 35 years or above and permanently residing in Guangzhou were recruited by the multi-stage sampling method [ 22 , 23 ]. Detailed information about GZHS has been reported in our previous reports [ 22 , 23 ].…”

Section: Study Design and Methodsmentioning

confidence: 99%

“…The GZHS baseline survey was conducted from 2015 to 2017, and 12,013 subjects aged 35 years or above and permanently residing in Guangzhou were recruited by the multi-stage sampling method [ 22 , 23 ]. Detailed information about GZHS has been reported in our previous reports [ 22 , 23 ]. Among 12,013 participants, 2280 subjects were excluded due to the following conditions: more than 74 years old (n = 1043), lack of OSA-related data (n = 5), suffering from the chronic obstructive pulmonary disease (n = 678) or cardiovascular disease (n = 554).…”

Section: Study Design and Methodsmentioning

confidence: 99%

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Association of healthy lifestyle with risk of obstructive sleep apnea: a cross-sectional study

et al. 2022

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Background No studies investigated the whole effect of modifiable lifestyle factors on OSA risk. This study aimed to examine the individual and combined effects of lifestyle factors on OSA risk among Chinese adults. Methods This cross-sectional study included 9733 participants aged 35 to 74 years from the baseline survey of Guangzhou Heart Study. OSA was evaluated by Berlin Questionnaire. The healthy lifestyle score (HLS), representing the overall effect of lifestyles, was derived from seven lifestyle factors: active smoking, passive smoking, alcohol, diet, waist-hip ratio, leisure-time physical activity, and mental status. Odds ratio (OR) with 95% confidence interval (CI) was calculated using the multivariate logistic regression model. Results 8107 participants were divided into the non-OSA group and 1626 participants into the OSA group. No passive smoking (OR 0.83, 95% CI 0.74–0.94), healthy waist-hip ratio (OR 0.67, 95% CI 0.58–0.77) and healthy mental status (OR 0.45, 95% CI 0. 29–0.73) were associated with a reduced risk of OSA after adjusting for confounders, while others not. Participants with higher HLS were negatively associated with OSA risk (P-trend < 0.001). In comparison to the participants with 0–3 HLS, the OR for participants with 4, 5, 6, and 7 HLS was 0.68 (95% CI 0.56–0.84), 0.71 (95% CI 0.59–0.86), 0.62 (95% CI 0.51–0.76) and 0.49 (95% CI 0.37–0.65) after adjusting for confounders. Every 1-score increment of HLS was associated with a 13% lower risk of OSA. Conclusions The results suggest that HLS reflecting the combined effect of multiple-dimensional lifestyle factors was inversely associated with OSA risk. Preventive strategies integrating multiple lifestyle factors may provide a more feasible approach for OSA prevention.

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Section: Study Design and Methodsmentioning

confidence: 99%

Section: Study Design and Methodsmentioning

confidence: 99%

Association of healthy lifestyle with risk of obstructive sleep apnea: a cross-sectional study

et al. 2022

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“…The detailed information of the Guangzhou Heart Study can be seen in our previous reports. 24,25 Subjects who were permanent residents registered in the Guangzhou Household Register System, aged ≥35 years old, and have lived in selected communities for six months or more were included in this study. Those were excluded if they were aged 75 years old or above, lacked OSA-related information, had lung diseases including chronic obstructive pulmonary disease and chest pain, had heart diseases including heart failure, atrial fibrillation, and myocardial infarction, had mental and cognitive disorders including dementia, deaf mutters, and disturbance of understanding, had difficulty in mobility, such as leg pain and high paraplegia, had a history of malignant tumors, and were pregnant or lactating women.…”

Section: Study Setting and Subjectsmentioning

confidence: 99%

“…Leisure-time physical activity was assessed by the modified Global Physical Activity Questionnaire, and the total volume of leisure-time physical activity was described by metabolic equivalent-hours per week (METhours/week); the details of the assessment of leisure-time physical activity has been shown in our latest report. 25 In addition, each subject received a health examination according to examination protocols. Weight and height were measured to calculate body mass index (kg/m 2 ); neck circumference, waist circumference, and hip circumference were measured and the latter two were used to calculate the waist-hip ratio.…”

Section: Potential Covariates Evaluationmentioning

confidence: 99%

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Association Between Eating Habits and Risk of Obstructive Sleep Apnea: A Population-Based Study

Du¹,

Duan²,

Zheng³

et al. 2021

NSS

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The effect of dietary factors on OSA remains unclear. This study was to investigate the association of obstructive sleep apnea (OSA) with individual and overall effects of eating habits among adult Chinese. Methods: A total of 9733 participants were selected from the baseline survey of the Guangzhou Heart Study. OSA was ascertained by Berlin Questionnaire. Food consumption was collected using a food frequency questionnaire, and eating patterns were extracted by principal component analysis. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated by the logistic regression model. Results: After adjustment for confounders, fried food intake with ≥1/week was associated with an increased risk of OSA (OR: 1.77, 95% CI: 1.37-2.27), while fruit consumption of ≥1/day was associated with a 26% reduced risk of OSA (OR: 0.74, 95% CI: 0.62-0.88). Three eating patterns were defined and labeled as pattern I, II, and III. Eating pattern III which had higher factor loadings of animal innards, fried food, salted food, carbonate, and non-carbonated beverages was associated with an increased risk of OSA (OR: 1.30, 95% CI: 1.09-1.55) when comparing the highest with the lowest tertile of pattern score, after adjusting for confounders; every 1-unit increment of pattern III score was associated with an increased risk of OSA (OR: 1.09, 95% CI: 1.04-1.14). Neither pattern I nor pattern II was observed to be associated with OSA risk. Conclusion: A higher frequency intake of fruits was associated with a reduced OSA risk and a diet with higher levels of consumption of animal innards, fried food, salted food, carbonated beverages, and non-carbonated beverages may increase the risk of OSA.

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Association of residential greenness with obstructive sleep apnea among Chinese old adults and the mediation role of PM2.5 and leisure-time physical activity

Duan,

Zhao,

Yang

et al. 2024

Science of The Total Environment

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Association between physical activity and risk of obstructive sleep apnea

Cited by 13 publications

References 26 publications

Association of healthy lifestyle with risk of obstructive sleep apnea: a cross-sectional study

Association of healthy lifestyle with risk of obstructive sleep apnea: a cross-sectional study

Association Between Eating Habits and Risk of Obstructive Sleep Apnea: A Population-Based Study

Association of residential greenness with obstructive sleep apnea among Chinese old adults and the mediation role of PM2.5 and leisure-time physical activity

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