Descriptive study on sleep quality and its associated factors among elderly in urban population: Chidambaram

Abstract

Background: Population aging is a major health issue in most countries, sleep is one of the significant factors affecting aging and elderly people’s quality of life. The present study was done to assess sleep quality and its contributing factors among elderly people.Methods: This cross-sectional study was conducted in 2018 on 227 elderly people aged fifty five or more participants were selected from the urban field practice area Chidambaram. Data collection tools were a demographic questionnaire, pittsburg sleep quality index and five point depression scale. The collected data were entered into SPSS software (V-22) and analysed using chi-square test at the significance level of less than 0.5.Results: Among 227 elderly people most of them were between the age group of 55 to 60 years (44.9%) and majority of them were females (59%), literacy (69.6%) married (60.5%), house wives (43.6%). Among the population 34.8% had their PSQI value <5 which suggest good sleep quality and whereas 65.2% had PSQI ≥5 suggesting poor sleep quality.Conclusions: The finding of their study indicates that elderly population in this area, have a fairly good quality. The most important factors contributing to their sleep quality are gender, dependency in doing daily activities, other health problems, marital status and their habitual sleep efficiency.

Descriptive analysis of sleep quality and its determinants among rural population of coastal Karnataka

“…This observation is consistent with the findings of other studies done from India as well as China and Nigeria. (12,13,16,18) Our study observed that high BMI was not significantly associated with poor sleep which is similar to findings of Luo J et al from China. ( 16) However, studies by Shittu RO et al found that higher BMI was associated with poor sleep.…”

“…While our study findings showed that quality of sleep was not associated with any sociodemographic characteristics, several studies have shown that factors such as advancing age, female gender and being widowed to be associated with poor quality of sleep. (11)(12)(13)(15)(16)(17) Due to similar distribution of these background characteristics among the people with good and poor sleep, no difference was observed with respect to these parameters in our study.…”

“…The prevalence of poor quality of sleep reported from India ranged from 6.2%-72.6% while in international studies it ranged from 21% to 44%. (4,(11)(12)(13)(14) This difference observed may be due to inclusion of population with varying characteristics like healthy population, elderly, patients with morbidity and working pattern of participants. While our study findings showed that quality of sleep was not associated with any sociodemographic characteristics, several studies have shown that factors such as advancing age, female gender and being widowed to be associated with poor quality of sleep.…”

Sleep quality index among the elderly population in selected areas of Delhi: a community-based cross-sectional study

“…6 In another cross-sectional study conducted by Gouthaman et al revealed 65.2% of the elderly had poor sleep quality. 7 Similarly Thichumpa et al reported the prevalence of poor sleep quality as 44% among 266 community-dwelling elderly individuals in northern Thailand. 8 Similarly lower prevalence was also reported by Sagayadevan et al among the Singaporean elderly, Razali et al, Park et al in 157 Korean elderly, Wu et al in elderly of Taipei district, China and Tel in Turkey.…”

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

“…The current study also found that unmarried status was associated with an increased risk of poor sleep quality. Similarly, a study conducted in Chidambaram found that marital status was one of the most important factors resulting in different sleep quality 43. Furthermore, Das et al 44 found that unmarried individuals had a 5.01-fold higher risk of poor sleep quality (aOR 6.01, 95% CI 2.18 to 16.53).…”