Saranya Sivanesan, Chythra R Rao, S. Mallya, Uttam Kumar, A. Kamath
{"title":"Descriptive analysis of sleep quality and its determinants among rural population of coastal Karnataka","authors":"Saranya Sivanesan, Chythra R Rao, S. Mallya, Uttam Kumar, A. Kamath","doi":"10.47203/ijch.2022.v34i04.019","DOIUrl":null,"url":null,"abstract":"Background: A good quality of sleep helps to maintain mood, memory and cognitive performance. Aim & Objective: To assess quality of sleep and its determinants among rural adults. Settings and Design: A community based cross sectional study was carried out in rural field practice area of a medical college Methods and Material: Pittsburg sleep quality index scale was used to assess quality of sleep. Semi-structured questionnaire was used to collect information from participants. Anthropometric and blood pressure measurements were taken. Statistical analysis used: Chi-square test was used to find out association between poor sleep and specific morbidities. Univariate and multivariate logistic regression was done to assess predictors of poor sleep. Results: Among the 614 study subjects, 60.3% had good sleep. Presence of morbidity was significantly associated with poor sleep [AOR=1.48; 95%CI=1.05-2.08]. Presence of a dark room, taking a bath or having milk before bed time were top reasons cited to be facilitating good sleep. Presence of mosquitoes, having young children or adolescent at home and vital events in last one year were reported to hinder good sleep. Conclusions: A sizeable proportion of rural adults have poor sleep. Presence of morbidity was a significant predictor of poor sleep.","PeriodicalId":13363,"journal":{"name":"Indian Journal of Community Health","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Community Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47203/ijch.2022.v34i04.019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background: A good quality of sleep helps to maintain mood, memory and cognitive performance. Aim & Objective: To assess quality of sleep and its determinants among rural adults. Settings and Design: A community based cross sectional study was carried out in rural field practice area of a medical college Methods and Material: Pittsburg sleep quality index scale was used to assess quality of sleep. Semi-structured questionnaire was used to collect information from participants. Anthropometric and blood pressure measurements were taken. Statistical analysis used: Chi-square test was used to find out association between poor sleep and specific morbidities. Univariate and multivariate logistic regression was done to assess predictors of poor sleep. Results: Among the 614 study subjects, 60.3% had good sleep. Presence of morbidity was significantly associated with poor sleep [AOR=1.48; 95%CI=1.05-2.08]. Presence of a dark room, taking a bath or having milk before bed time were top reasons cited to be facilitating good sleep. Presence of mosquitoes, having young children or adolescent at home and vital events in last one year were reported to hinder good sleep. Conclusions: A sizeable proportion of rural adults have poor sleep. Presence of morbidity was a significant predictor of poor sleep.