Abstract
Objective: Snoring and body mass index (BMI) have been previously reported to be associated with metabolic syndrome(MetS). The aim of this study is to explore the individual effects and possible interaction of snoring and BMI on MetS.
Methods: A total of 3794 coal miners aged 18-65 years old were recruited from Shanxi province of China. The individual effects were assessed by multivariable logistic regression model. The interaction on an additive scale between snoring and BMI was evaluated by calculating the relative excess risk due to interaction(RERI), attributable proportion due to interaction(AP) and synergy index(S).
Results: After adjusted for age, sex, current smoking, alcohol consumption, marital status, physical activity …show more content…
The questionnaires in our study consisted of questions on demographics, lifestyle and medical history factors. Snoring status was obtained from the question“Have you ever snored during sleep?”with the choices of (“never”, “occasionally”, “habitually”). The following variables were assessed using three categories: family income (≤4000, 4000–6000, ≥6000CNY/month), educational level (bachelor degree or above, junior college and senior high school,and junior high school or below), marital status (single, married and divorced), work type (heavy physical, light physical, and mental labor). Current smoking and alcohol consumption were defined as binary variables (yes, no). The international physical activity questionnaire (IPAQ) was used to assess the physical activity level. Physical activity level was grouped as inactive, minimally active and health-enhancing physical …show more content…
Firstly, the cross-section design did not allow us to infer causality. Secondly, the underreporting of snoring might lead to misclassification bias and weaken the association between snoring and MetS. Thirdly, as with any observational studies, we could not exclude the possible effects of uncontrolled or inadequately measured confounders on the results. Despite these limitations, this is the first study, to our knowledge, to examine the additive interaction between snoring and BMI on MetS. Further prospective cohort studies with large sample sizes are necessary to further confirm this additive interaction and to elucidate the underlying mechanism that will eventually lead to more effective the prevention strategies on
Objective: Snoring and body mass index (BMI) have been previously reported to be associated with metabolic syndrome(MetS). The aim of this study is to explore the individual effects and possible interaction of snoring and BMI on MetS.
Methods: A total of 3794 coal miners aged 18-65 years old were recruited from Shanxi province of China. The individual effects were assessed by multivariable logistic regression model. The interaction on an additive scale between snoring and BMI was evaluated by calculating the relative excess risk due to interaction(RERI), attributable proportion due to interaction(AP) and synergy index(S).
Results: After adjusted for age, sex, current smoking, alcohol consumption, marital status, physical activity …show more content…
The questionnaires in our study consisted of questions on demographics, lifestyle and medical history factors. Snoring status was obtained from the question“Have you ever snored during sleep?”with the choices of (“never”, “occasionally”, “habitually”). The following variables were assessed using three categories: family income (≤4000, 4000–6000, ≥6000CNY/month), educational level (bachelor degree or above, junior college and senior high school,and junior high school or below), marital status (single, married and divorced), work type (heavy physical, light physical, and mental labor). Current smoking and alcohol consumption were defined as binary variables (yes, no). The international physical activity questionnaire (IPAQ) was used to assess the physical activity level. Physical activity level was grouped as inactive, minimally active and health-enhancing physical …show more content…
Firstly, the cross-section design did not allow us to infer causality. Secondly, the underreporting of snoring might lead to misclassification bias and weaken the association between snoring and MetS. Thirdly, as with any observational studies, we could not exclude the possible effects of uncontrolled or inadequately measured confounders on the results. Despite these limitations, this is the first study, to our knowledge, to examine the additive interaction between snoring and BMI on MetS. Further prospective cohort studies with large sample sizes are necessary to further confirm this additive interaction and to elucidate the underlying mechanism that will eventually lead to more effective the prevention strategies on