Snoring And Body Mass Index Case Study

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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
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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…
Participants were lightly dressed without shoes when height and body weight are measured. The measuring accuracy for height and weight was 0.1 cm, 0.1 kg, respectively. BMI was calculated as weight (kg) divided by height squared (m2) and classified three categories according to Chinese Body Mass Index (BMI) criteria (underweight: BMIs BMI and metabolic syndrome-related indicators meanwhile in the diagnosis of sleep apnea syndrome, so that we can achieve early detection of patients or high-risk individuals with MetS. Because snorers with overweight or obesity have the highest risk for MetS, individuals in this subgroup could be benefited most from a targeted intervention or

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