The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: a cross-sectional study

Abstract

Background: Sleep problems have become the most common complaints among elderly adults. There are a few studies indentified prevalence of poor sleep quality and its associated factors in nursing home setting.Therefore, our study aim to examine the prevalence of poor sleep quality, its risk factors, and their interactions among Chinese elderly adults in nursing homes. Methods: A total of 817 elderly residents from 24 nursing homes were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) between risk factors and poor sleep quality. An additional interaction model was used to analyse the interaction between risk factors. Results: The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among elderly adults in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders: being 70-79 years old (AOR: 1.81, 95% CI: 1.10, 2.97) or 80 years old and above (AOR: 2.64, 95% CI: 1.67, 4.17); having less than 7 years of education (AOR: 1.59, 95% CI: 1.08, 2.33); having one to two kinds of chronic diseases (AOR: 2.26, 95% CI: 1.53, 3.32) or three or more kinds of chronic disease (AOR: 2.81, 95% CI: 1.65, 4.76); having depression (AOR: 3.13, 95% CI: 2.04, 4.81), anxiety (AOR: 3.42, 95% CI: 1.68, 6.97), and lower social support (AOR: 1.57, 95% CI: 1.11, 2.21). Additive interactions were detected between age and anxiety (AOR: 8.34, 95% CI: 4.43, 15.69), between chronic disease and anxiety (AOR: 8.61, 95% CI; 4.28, 17.31) and between social support and anxiety (AOR: 6.43, 95% CI: 3.22, 12.86). Conclusions: The prevalence of poor sleep quality in nursing homes is relatively high. Anxiety has additive interactions with age, chronic disease and social support for poor sleep quality. These findings have significant implications for interventions that aim to improve sleep quality among elderly residents in nursing homes.

Evaluation of quality of life level and related factors in those who applied to the occupational diseases outpatient clinic

“…Çin'de 303 meslek hastalıkları tanısı alanlarda yapılan bir çalışmada fizyolojik, enerji, fiziksel ağrı, genel sağlık, sosyal, emosyonel ve zihinsel sağlık puanları Çin'deki genel popülasyondan daha düşük olduğu bulunmuş ve bu farklılıkların istatistiksel olarak anlamlı olduğu saptanmıştır. Yaşam kalitesi puanlarını etkileyen başlıca faktörlerin ise; meslek hastalıklarının türleri, özürlülük düzeyi, hastalık süresi, başka hastalıklardan muzdarip olma durumu, yaş, eğitim düzeyi, ekonomik gelir, sağlık güvencesi, iş kazası sigortası ve ayrıca ve sosyal desteğe hak kazanıp kazanmadıkları olduğu izlenmiştir (12). Li ve arkadaşları, meslek hastalığı olanlarda yaşam kalitesinde sosyal, psikolojik, fizyolojik ve çevresel alan puanlarını anlamlı derecede düşük olarak saptamış ve her bir alandaki puanların akciğer hasarının derecesi, komplikasyonlar, hastalığın seyri, başlangıç yaşı, gelir ve istihdam durumundan etkilendiğini göstermiştir (10).…”

“…Kronik hastalıklar ve komplikasyonları bireyin fonksiyonel kapasitesinin azalmasına, çalışma performansının düşmesine, yaşam kalitesinin bozulmasına ve sosyal izolasyona neden olurken; ailenin yaşam tarzı ve ilişkilerini de olumsuz yönde etkilemektedir (9). İşyerine ait risk faktörlerine maruz kalım sonucu ortaya çıkan meslek hastalığına ve kronik hastalığa sahip olan bireylerde yapılan çalışmalarda bireylerin yaşam kalitesinin bozulabildiği gösterilmiştir (10)(11)(12).…”

Association between retirement status, savings and geriatric depression in China

“…For example, the risk of depression increases with age increases. ; Women are more likely to suffer from depression than men; The lower the level of education, the more likely to suffer from depression (Hu, 2018). Similarly, Meng and Tang (2000) using logistic regression found also that income, sex and age were the main factors affecting depressive symptoms and scores of depressive symptoms tended to rise among farmers, women and the elderly.…”

“…Age is included in almost every article on the relationship between retirement and mental health and usually treated as a continuous variable. According to the results of one study, the detection rate of depression gradually increases as the elderly age growing, mainly because the incidence of physical diseases will increase, which increases the risk of depression (Hu, 2018). Similarly, Meng and Tang found (2000) the older people get, the more likely they are to suffer from depression.…”

“…Biologically, aging is associated with a decline in physical function. Most studies found that there is a positive relationship between age and depression meaning as age increases, the probability of depression also increases (Cuntong, 2016;Hu, 2018;H. Huang, 2015;Meng & Tang, 2000).…”