Objectives: This study investigated the predictors of risk perception and its effect on older adults’ preventive behavior and/or medical care avoidance during the COVID-19 pandemic. Methods: Older respondents (age >50 years) from the MIT COVID-19 Preventive Health Survey reported their social distancing, hand washing, mask wearing, and medical care avoidance between July and October 2020 (n = 4395). Structural equation models were used. Results: Significant predictors of higher risk perception were female gender, older age, poorer health, city residency, personally knowing someone who had COVID-19, and correct knowledge of vaccine/treatment. Higher risk perception was subsequently associated with higher frequency/probability of practicing preventive behavior and/or avoiding medical care. Knowledge had the strongest path coefficient with risk perception. Discussion: Disseminating correct information to older adults could help them evaluate infection risk accurately. Educational programs on the precautions implemented at clinical settings to ensure patient safety may encourage older adults to seek timely medical care.

Guided by an intersectionality framework, this study examined intersectional discrimination attributions and their associations with health outcomes. Older respondents (aged ≥50) from the Health and Retirement Study in 2014-2015 were included (N = 6286). Their reasons for discrimination (age, gender, sexual orientation, race, national origin, religion, financial status, weight, physical appearance, disability, and others) were examined. Latent class analysis examined the subgroup profiles. Six classes were identified: class 1 (54.52% of the sample) had no/minimal discrimination; Class 2 (21.89%) experienced primarily ageism; class 3 (8.81%) reported discrimination based on age/gender/national origin/race; class 4 (7.99%) attributed discrimination to financial/other reasons; class 5 (5.87%) experienced discrimination based on age/weight/physical appearance/disability; and class 6 (0.92%) perceived high discrimination. Intersectional discrimination was associated with poorer self-rated health and higher depressive symptoms compared to the no/minimal discrimination group. Multiple marginalized identities co-occur and contribute to discrimination. An intersectional approach is recommended to understand discrimination in later life.

Background: Health concordance within couples presents a promising opportunity to design interventions for disease management, including hypertension. We compared the concordance of prevalent hypertension within middle‐aged and older heterosexual couples in the United States, England, China, and India. Methods and Results: Cross‐sectional dyadic data on heterosexual couples were used from contemporaneous waves of the HRS (US Health and Retirement Study, 2016/17, n=3989 couples), ELSA (English Longitudinal Study on Aging, 2016/17, n=1086), CHARLS (China Health and Retirement Longitudinal Study, 2015/16, n=6514), and LASI (Longitudinal Aging Study in India, 2017/19, n=22 389). Concordant hypertension was defined as both husband and wife in a couple having hypertension. The prevalence of concordant hypertension within couples was 37.9% (95% CI, 35.8–40.0) in the United States, 47.1% (95% CI, 43.2–50.9) in England, 20.8% (95% CI, 19.6–21.9) in China, and 19.8% (95% CI, 19.0–20.5) in India. Compared with wives married to husbands without hypertension, wives married to husbands with hypertension were more likely to have hypertension in the United States (prevalence ratio, 1.09 [95% CI, 1.01– 1.17), England (prevalence ratio, 1.09, 95% CI, 0.98–1.21), China (prevalence ratio, 1.26 [95% CI, 1.17–1.35), and India (prevalence ratio, 1.19 [95% CI, 1.15–1.24]). Within each country, similar associations were observed for husbands. Across countries, associations in the United States and England were similar, whereas they were slightly larger in China and India. Conclusions: Concordance of hypertension within heterosexual couples was consistently observed across these 4 socially and economically diverse countries. Couple‐centered interventions may be an efficient strategy to prevent and manage hypertension in these countries.

Background: Generative artificial intelligence (GAI) has developed rapidly and been increasingly used in scholarly publishing, so it is urgent to examine guidelines for its usage. This cross-sectional study aims to examine the coverage and type of recommendations of GAI usage guidelines among medical journals and how these factors relate to journal characteristics. Methods: From the SCImago Journal Rank (SJR) list for medicine in 2022, we generated two groups of journals: top SJR ranked journals (N = 200) and random sample of non-top SJR ranked journals (N = 140). For each group, we examined the coverage of author and reviewer guidelines across four categories: no guidelines, external guidelines only, own guidelines only, and own and external guidelines. We then calculated the number of recommendations by counting the number of usage recommendations for author and reviewer guidelines separately. Regression models examined the relationship of journal characteristics with the coverage and type of recommendations of GAI usage guidelines. Results: A higher proportion of top SJR ranked journals provided author guidelines compared to the random sample of non-top SJR ranked journals (95.0% vs. 86.7%, P < 0.01). The two groups of journals had the same median of 5 on a scale of 0 to 7 for author guidelines and a median of 1 on a scale of 0 to 2 for reviewer guidelines. However, both groups had lower percentages of journals providing recommendations for data analysis and interpretation, with the random sample of non-top SJR ranked journals having a significantly lower percentage (32.5% vs. 16.7%, P < 0.05). A higher SJR score was positively associated with providing GAI usage guidelines for both authors (all P < 0.01) and reviewers (all P < 0.01) among the random sample of non-top SJR ranked journals. Conclusions: Although most medical journals provided their own GAI usage guidelines or referenced external guidelines, some recommendations remained unspecified (e.g., whether AI can be used for data analysis and interpretation). Additionally, journals with lower SJR scores were less likely to provide guidelines, indicating a potential gap that warrants attention. Collaborative efforts are needed to develop specific recommendations that better guide authors and reviewers.

This study examined the gap between need and provision of community services in China and its association with older adults’ life satisfaction over time. Longitudinal data from the Chinese Longitudinal Healthy Longevity Survey from 2008 to 2014 were used (3 waves, N = 16,199). Respondents reported if they needed nine types of community service and if their community provided such service. Growth curve models analyzed whether individual- and/or province-level characteristics predicted the initial level and/or changes of life satisfaction over time. Results indicated the presence of major unmet service needs in China. Available community services were mismatched with older adults’ perceived needs. Unmet service needs were associated with decreased life satisfaction at baseline. However, unmet service needs were not associated with changes in life satisfaction over time. Study findings highlighted the urgent need to optimize service design in accordance with older adults’ needs, which ultimately could promote older adults’ well-being.