Effects of Anxiety, Stress and Perceived Social Support on Depression and Loneliness Among Older People During the COVID-19 Pandemic: A Cross-Sectional Path Analysis.

During the COVID-19 pandemic, older people were exposed to high levels of anxiety and stress leading to loneliness and depressive disorders. The purpose of the present study was to investigate the effects of anxiety, positive coping, perceived social support, and perceived stress on depression and loneliness among older people during the COVID-19 pandemic. This was a cross-sectional online/telephone survey. A non-probability convenience sampling method was used. Participants were 112 people aged 60 years and above, without cognitive impairment, who experienced confinement (from March 2020 onward) and had access to the internet or telephone. A path analysis model showed a direct significant effect of anxiety on both, depression (ß = .68, P < .001) and perceived stress (ß = .65, P < .001), as well as an indirect effect of anxiety on loneliness via perceived stress (ß = .65) * (ß = .40); and social support (ß = -.21) * (ß = -.20). The model showed adequate fit χ2(df = 4) =5.972, P = .201; RMSEA = 0.066 (0.000, 0.169), CFI = 0.992; TLI = 0.970. Anxiety had a significant effect on depressive symptoms as well as on loneliness via perceived social support and perceived stress. According to our findings, in order to reduce depressive symptoms and perceived loneliness, it is essential to develop timely interventions that decrease levels of anxiety and stress and increase levels of perceived social support in older people, particularly when there are any restrictions, physical or contextual, that prevent face-to-face contact. This can be achieved by implementing preventive community-based programs, enhancing accessibility to mental health services, and collaborating with local support groups, among others.

Sex differences and the influence of social factors in a Chilean urban psychiatric hospital population.

BACKGROUND: The epidemiological literature has reported differences by sex in the prevalence of psychiatric diagnoses. However, we know little about how other socio-demographic factors participate in these differences. AIM: To identify the socio-demographic factors that correlate with prevalent psychiatric diagnoses in women and men in a Chilean urban psychiatric hospital population. METHOD: Socio-demographic information (age, educational level, marital status, family group and work status), psychiatric diagnoses and sex of the population were collected for 3,920 patients of a tertiary care hospital during a period of 8 years (2007-2014). The data were subjected to bivariate and multivariate analyses comparing the results by sex. RESULTS: Among the most prevalent psychiatric diagnoses, those significantly correlated with sex were eating disorders and major depression (women) and schizophrenia (men). Socio-demographic factors behave differently in men and women regarding those diagnoses. Among the differences, working and being married correlated directly with the diagnosis of depression only among women. Living alone correlated directly with the diagnosis of schizophrenia among men, but correlated inversely among women. CONCLUSION: Dissimilar associations between sex, psychiatric diagnosis and socio-demographic factors found in this Latin American sample invite us to reflect on how social conditions crosscut the relation between sex and psychopathology and to include gender perspectives in psychiatric practices.