Depressive Symptoms, Cognitive Functioning, Frailty, Multimorbidity and Loneliness among Older Population: An Update

Objectives: To examine the association between climate anxiety and perceived longevity in the general adult German population (also stratified by age group). Study design: Nationally representative survey. Methods: Data were used of the general adult German population, with n = 3015 individuals (18 to 74 years; data collection: March 2022). Climate anxiety was assessed using the validated Climate Anxiety Scale. It was adjusted for a wide array of covariates in linear-log regression analysis. Results: Even after adjusting for various covariates, there was an association between higher (log) climate anxiety and a lower perceived longevity in the total sample (β = −1.41, p < 0.01). Stratified by age group, a significant association was only present among individuals aged 18 to 29 years (β = −3.58, p = 0.01), whereas it was not present in the other age groups (i.e., individuals aged 30 to 49 years, individuals aged 50 to 64 years, and individuals aged 65 years and over). Conclusions: This study showed an association between higher climate anxiety and lower perceived longevity, particularly among younger individuals. More clearly, younger individuals with a higher climate anxiety think they will die earlier. This is the first study on this topic and could serve as a foundation for upcoming research. For example, longitudinal studies are needed to confirm our findings. Full article

Background: Optimism is a disposition characterised by positive future expectancies, while pessimism is characterised by expecting the worst. High optimism and low pessimism promote the health of older adults and may potentiate full engagement in life. We identified socioeconomic, behavioural, and social factors associated with optimism and pessimism in older adults. Methods: Participants included 10,146 community-dwelling, apparently healthy Australian adults aged 70 years and over from the ASPREE Longitudinal Study of Older Persons (ALSOP). Optimism and pessimism were measured using the revised Life Orientation Test. Cross-sectional ordinal logistic regression was used to determine the socioeconomic, behavioural, and social health factors associated with optimism and pessimism. Results: Higher education, greater physical activity, lower loneliness, and volunteering were associated with higher optimism and lower pessimism. Low social support was associated with higher pessimism. Higher socioeconomic advantage, greater income, and living alone were associated with lower pessimism. Women were more optimistic and less pessimistic than men. The association of age, smoking status, and alcohol consumption with optimism and pessimism differed for men and women. Conclusions: Factors associated with higher optimism and lower pessimism were also those demonstrated to support healthy ageing. Health-promotion action at the individual level (e.g., smoking cessation or regular physical activity), health professional level (e.g., social prescribing or improving access and quality of care for all older adults), and community level (e.g., opportunities for volunteer work or low-cost social activities for older adults) may improve optimism and reduce pessimism, possibly also promoting healthy ageing. Full article

(1) Background: Research indicates that most elderly widows are at a high risk of experiencing negative psychological symptoms. It is common for elderly women in rural and remote areas to live alone without family support to cope with stress due to the mass rural-to-urban migration of China’s youth labor force. Such a situation further worsens their psychological health and well-being. However, the prevalence of and risk factors associated with negative psychological symptoms (loneliness, depression, and anxiety) among remote elderly widows living alone in China are currently unclear; (2) Methods: A cross-sectional study was conducted in Hunan Province, China. The loneliness was assessed through the University of California at Los Angeles Loneliness Scale (ULS-8). The depression and anxiety were assessed with the Short Form Geriatric Depression Scale (GDS-15) and Generalized Anxiety Disorder Scale (GAD-7), respectively. The Chi-square test and correlation analysis were conducted to identify factors associated with negative psychological symptoms. Logistic regression was performed to predict risk and protective factors contributing to loneliness, depression, and anxiety symptoms. The significance level was set as p < 0.05; (3) Results: A total of 271 remote elderly widows living alone were enrolled in the present study. Additionally, 234 valid questionnaires were returned (valid response rate = 86.3%). The prevalence of loneliness, depression and anxiety was 8.1%, 44.0%, and 16.7%, respectively. Acute or chronic medical conditions, marital happiness, being the primary caregiver before widowhood and anticipating the death of the spouse differed significantly in the distribution of negative psychological symptoms. Logistic regression analysis predicted that participants who were satisfied with their marriage had a lower likelihood to experience loneliness, depression, and anxiety (p < 0.05). Being the spouse’s primary caregiver before widowhood was more likely to have symptoms of loneliness (p < 0.01). Those with various acute or chronic medical conditions were more likely to suffer from depression (p < 0.01); (4) Conclusions: Remote elderly widows living alone in China are prone to loneliness, depression, and anxiety symptoms. Being the primary caregiver before widowhood and having many acute or chronic medical conditions are risk factors for loneliness and depression, respectively. Marital happiness is the protective factor against negative psychological symptoms. To accomplish the goal of equitable access to mental health care in China, evidence-based policy and resource development to support psycho-social interventions that prevent and manage negative psychological symptoms for remote elderly widows living alone are urgently needed. Full article