TY - JOUR
T1 - Descriptive analysis of sleep quality and its determinants among rural population of coastal Karnataka
AU - Sivanesan, Saranya
AU - Rao, Chythra Raghavendra
AU - Mallya, Sneha Deepak
AU - Kumar, Uttam
AU - Kamath, Asha
N1 - Publisher Copyright:
© 2022, Indian Association of Preventive and Social Medicine. All rights reserved.
PY - 2022/12/31
Y1 - 2022/12/31
N2 - 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.
AB - 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.
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U2 - 10.47203/IJCH.2022.v34i04.019
DO - 10.47203/IJCH.2022.v34i04.019
M3 - Article
AN - SCOPUS:85145851836
SN - 0971-7587
VL - 34
SP - 554
EP - 559
JO - Indian Journal of Community Health
JF - Indian Journal of Community Health
IS - 4
ER -