There are growing calls from researchers and policy makers to redefine loneliness and social isolation (SI) as public health issues, and to move towards a transdisciplinary, systems-based approach, due to their association with significant health risks, particularly in older people. Research about loneliness and SI in older people has typically adopted a narrow focus, evaluating effects of individual and inter-personal factors on these experiences. Less is known about the community and societal influences that may be used to inform public health interventions. We conducted a scoping review applying Joanna Briggs Institute methodology and the social-ecological model framework in order to: i) identify the available evidence for the influence of the community and societal factors on loneliness and SI as experienced by older people; ii) examine how quantitative research about community- and societal-level factors of loneliness and SI in the older population is conducted; and iii) identify current knowledge gaps in relation to the use of the social-ecological model in this area. A total of 52 articles from 30 countries met the inclusion criteria, including 33 observational studies, primarily cross-sectional (88%), and 19 interventions, mostly (89%) pre-post evaluations. The majority of included articles measured loneliness only (n = 34, 65%), while 11 measured both loneliness and SI (21%). To measure these outcomes validated scales were frequently used. Eighteen community/societal factors were investigated in relation to loneliness and/or SI, most commonly neighbourhood safety, access to public third-places and cultural practices. Three societal-level interventions were found: two campaigns to reduce ageism and one which explored the impact of free public transport. Community-based interventions were either educational or enlisted volunteers to foster connections. There is a need for longitudinal studies to better understand the mechanisms through which community- and societal- level factors affect loneliness and SI, which in turn will guide interventions that utilise the social-ecological framework for these issues.

Significant proportions of burnout have been reported among both oncologists and oncology nurses. However, these groups have not been compared in a meta-analytic design. It is important to compare how burnout affects different types of health professionals to understand its individual implications and devise ways of minimizing and treating it. The current meta-analysis study aimed to systematically compare burnout prevalence between oncologists and oncology nurses. Authors assessed 34 studies (four included nurses and oncologists and 30 focused either on oncologists or oncology nurses) that used the Maslach Burnout Inventory (MBI) to measure burnout. Both fixed- and random-effects models were used to calculate meta-analytic estimates of the burnout subscales: emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). The pooled sample size was 4,705 oncologists and 6,940 oncology nurses. The average proportions of EE, DP, and PA were 32%, 26%, and 25%, respectively, among oncologists and 32%, 21%, and 26%, respectively, among oncology nurses. Higher DP was found among oncologists compared with oncology nurses, only in the analysis of studies that included samples of both oncologists and oncology nurses. The subgroup analysis showed higher levels of DP in Europe and Asia and lower PA in Asia and Canada. No evidence of publication bias was found. Findings suggest differences in burnout between oncologists and oncology nurses and among geographic regions. This highlights the need for tailored interventions for different professions and regions. Hospitals should provide support and encourage teamwork to improve oncology professionals' well-being and provide optimal care for patients. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

There is evidence that the built environment can promote unhealthy habits which may increase the risk for obesity among adolescents. However, the majority of evidence is from North America, Europe and Australia, and less is known about other world regions. The purpose of this study was to examine how the number of overweight and obese adolescents may vary in relation to the built environment, area socioeconomic status (SES), physical activity (PA) and nutritional home environment. We performed a telephone survey of 904 adolescents ages 15–18 from three different cities in Israel. The questionnaire included: reported PA, sedentary behaviors and nutritional home environment. Body Mass Index (BMI) was attained from records of Maccabi Healthcare Services (MHS). The built environment measures were calculated by Geographic Information System (GIS). Multivariable logistic regression analysis was performed to identify variables associated with adolescents’ overweight and obesity. The highest level of overweight and obese adolescents was in Beer Sheva (29.2%). The three cities did not differ in built environment characteristics, PA and sedentary behaviors. In Haifa, a more positive nutritional home environment was reported (p = 0.001). Boys, in all three cities presented higher rates of overweight and obesity (29%). After adjusting for covariates, adolescents’ overweight and obesity was associated with built environment measures only in a low SES peripheral city (OR = 0.72; 95% CI: 0.56–0.92), and positively associated with higher level of sedentary behavior in the total sample (OR = 1.23; 95% CI:1.03–1.47). This may imply a much more complex causal pathway between the built environment, SES and obesity than suggested in previous literature.

Background There is evidence that the transition to retirement can bring social challenges and may increase loneliness. Few studies have examined the impact of retirement on loneliness; most have been conducted in Western countries. It is important to examine the differences in loneliness postretirement across countries to identify patterns and risk factors that might influence the health and well-being of older adults. We aimed to examine the effect of retirement on loneliness among older adults in Australia, China and the USA. Methods Longitudinal analysis of data from population-based samples of Australian, Chinese and American adults over 50. Lagged and fully lagged adjusted models were applied. Social engagement was examined as an effect modifier and a sensitivity analysis was conducted among urban participants. Results Retirees had a higher predicted prevalence of loneliness than non-retirees in Australia (19.4% (95% CI 18.0% to 20.9%) vs 17.0% (95% CI 15.7% to 18.4%)) and in the USA (19.3% (95% CI 17.5% to 21.1%) vs 15.7% (95% CI 14.3% to 17.3%)). These differences were significant only in the USA. In China, loneliness was significantly lower in those who had retired (10.0% (95% CI 7.9% to 12.5%) vs 17.1% (95% CI 15.7% to 18.5%)). In Australia and the USA, voluntary retirees had the lowest loneliness and involuntary retirees had the highest. Social engagement did not modify the association between retirement and loneliness. Conclusions Our findings imply that the effect of retirement should be considered within a cultural context to inform suitable and effective strategies to alleviate loneliness.

Knowledge and understanding of what health insurance covers is an important public health issue. In Israel, whereas national health insurance covers all residents, optional supplemental health insurance (SHI) can be purchased from the healthcare providers, for additional, special services. The purpose of this study was to identify disparities between Jews and Arabs in their knowledge and understanding of SHI. National, cross-sectional, telephone survey using a structured questionnaire, among random samples of 814 Jews and 800 Arabs. Knowledge and understanding of health insurance was assessed by a score based on correct answers to 8 questions. Log-linear regression was used to estimate association between health insurance knowledge and population group, after controlling for potential confounding independent variables. Ninety one percent of Jews and 62% of Arabs reported owning SHI. Among both groups, knowledge levels were low on a 0–8 scale. However, the average score for Jews was statistically higher (Mean = 3.50, S.D = 1.69) as compared with Arabs (Mean = 2.78, S.D = 1.70) (p < 0.001). The adjusted health insurance knowledge score was significantly higher among Jews than Arabs (Prevalence ratio = 1.10; 95% CI = 1.06–1.13), indicating that differences remain even after controlling for socio-demographic characteristics and SHI ownership. There is a large gap between the public’s understanding of what is covered by SHI and the services that it covers in practice. Low SHI knowledge and understanding may lead to frustration, and limit access to additional health care among populations that suffer from socio-economic inequalities. These findings emphasize the need to provide clearer and more culturally sensitive information on health insurance coverage.