Examining the association between loneliness and emergency department visits using Canadian Longitudinal Study of Aging (CLSA) data: a retrospective cross-sectional study.

BACKGROUND: Loneliness is a public health concern and its influence on morbidity and mortality are well documented. The association between loneliness and emergency department visits is less clear. Further, while sex and gender-related factors are known to be associated with loneliness and health services use, little research looks at the relationship by gender. Our study aimed to estimate the association between loneliness and emergency department use in the previous 12 months. We aimed to determine if this association differed based on gender identity and gender-related characteristics. METHODS: We used a retrospective cohort study design to analyze population-based survey data from the Canadian Longitudinal Study on Aging (CLSA). We analysed data from the baseline and follow-up 1 survey respondents (2015-2018) from both the tracking (telephone interviews) and comprehensive (in-home data collection) cohorts (n=44816). Loneliness was assessed using a dichotomous measure (lonely/not lonely) from a validated scale. Emergency department visits were dichotomous (yes/no) by self-reported emergency department use in the 12 months prior to the survey date. Multivariable logistic regression analyses using analytic weights examined the association between loneliness and emergency department visit, controlling for other demographic, social, and health related factors. RESULTS: We identified 44,413 respondents to the baseline and follow-up 1 survey. The prevalence of loneliness in our sample was 23.1% (n=10263). Of those who had been to the emergency department in the previous year, 27.2% (n=2793) were lonely. Lonely respondents had higher odds of an emergency department visit (aOR: 1.13, 95% CI: 1.05-1.21), adjusted for various demographic and health factors. Loneliness was associated with emergency department visits more so in women (aOR: 1.15, 95% CI: 1.05-1.25) than in men (aOR: 1.10, 95% CI: 0.99-1.22). CONCLUSIONS: In our study, loneliness was associated with emergency department visits in the previous 12 months. When our analysis was disaggregated by gender, we found differences in the odds of emergency department visit for men, women, and gender-diverse respondents. The odds of ED visit were higher in women than men. These findings highlight the general importance of identifying loneliness in both primary care and hospital. Care providers in ED need resources to refer patients who present in this setting with health issues complicated by social conditions such as loneliness.

Retrospective cross-sectional study examining the association between loneliness and unmet healthcare needs among middle-aged and older adults using the Canadian Longitudinal Study of Aging (CLSA).

OBJECTIVES: Our primary objective was to estimate the association between loneliness and unmet healthcare needs and if the association changes when adjusted for demographic and health factors. Our secondary objective was to examine the associations by gender (men, women, gender diverse). DESIGN, SETTING, PARTICIPANTS: Retrospective cross-sectional data from 44 423 community-dwelling Canadian Longitudinal Study on Aging participants aged 45 years and older were used. PRIMARY OUTCOME MEASURE: Unmet healthcare needs are measured by asking respondents to indicate (yes, no) if there was a time when they needed healthcare in the last 12 months but did not receive it. RESULTS: In our sample of 44 423 respondents, 8.5% (n=3755) reported having an unmet healthcare need in the previous 12 months. Lonely respondents had a higher percentage of unmet healthcare needs (14.4%, n=1474) compared with those who were not lonely (6.7%, n=2281). Gender diverse had the highest percentage reporting being lonely and having an unmet healthcare need (27.3%, n=3), followed by women (15.4%, n=887) and men (13.1%, n=583). In our logistic regression, lonely respondents had higher odds of having an unmet healthcare need in the previous 12 months than did not lonely (adjusted odd ratios (aOR) 1.80, 95% CI 1.64 to 1.97), adjusted for other covariates. In the gender-stratified analysis, loneliness was associated with a slightly greater likelihood of unmet healthcare needs in men (aOR 1.90, 95% CI 1.64 to 2.19) than in women (aOR 1.73, 95% CI 1.53 to 1.95). In the gender diverse, loneliness was also associated with increased likelihood of having an unmet healthcare need (aOR 1.38, 95% CI 0.23 to 8.29). CONCLUSIONS: Loneliness was related to unmet healthcare needs in the previous 12 months, which may suggest that those without robust social connections experience challenges accessing health services. Gender-related differences in loneliness and unmet needs must be further examined in larger samples.