Association Between Cohabitation Status and Sleep Quality in Families of Persons With Dementia in Korea: A Cross-sectional Study

Abstract

Objectives: The aim of this study was to identify the association between cohabitation status and sleep quality in family members of people with dementia (PwDs).Methods: Data of 190 365 participants aged ≥19 years from the 2018 Korea Community Health Survey were analyzed. Participants were categorized according to their cohabitation status with PwDs. Multiple logistic regression and ordinal logistic regression analyses were performed to evaluate the relationship between the cohabitation status of PwDs’ relatives and sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI) and PSQI subscales.Results: Compared to participants without PwDs in their families, both cohabitation and non-cohabitation with PwDs were associated with poor sleep quality (cohabitation, male: odds ratio [OR],1.28; 95% confidence interval [CI], 1.08 to 1.52; female: OR, 1.40; 95% CI, 1.20 to 1.64; non-cohabitation, male: OR, 1.14; 95% CI, 1.05 to 1.24; female: OR, 1.23; 95% CI, 1.14 to 1.33). In a subgroup analysis, non-cohabiting family members showed the highest odds of experiencing poor sleep quality when the PwD lived alone (male: OR, 1.48; 95% CI, 1.14 to 1.91; female: OR, 1.58; 95% CI, 1.24 to 2.01). Cohabiting male and female participants had higher odds of poor subjective sleep quality and use of sleeping medications than non-cohabiting male and female participants, respectively.Conclusions: The residence of PwDs and cohabitation status may contribute to poor sleep quality among PwDs’ family members. The circumstances faced by cohabiting and non-cohabiting family members should be considered when evaluating sleep quality in family members of PwDs, and appropriate interventions may be needed to improve sleep quality in both cohabiting and non-cohabiting family members.

Association Between Sleep Quality and Anxiety in Korean Adolescents

“…The analyses were performed using the stratified sampling variables (strata) and weighted variables suggested by the KYRBS. We performed the analysis after dividing subjects by sex due to differences between the sexes in anxiety and sleep quality [ 24 ]. All analyses were carried out using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA), and p -values <0.05 were considered to indicate statistical significance.…”

Association of compliance with COVID-19 public health measures with depression

“…The Korea Disease Control and Prevention Agency conducts the CHS every year by visiting and interviewing selected family households. In CHS, stratified cluster sampling method and systematic sampling method were used to select sample area and sample household, respectively 25 . The dataset used in this study can be provided through a predetermined procedure after entering certain information on the CHS’s official website ( https://chs.kdca.go.kr/chs/ ).…”