BACKGROUND: Understanding the factors influencing individuals\' health decisions is a dynamic research question. Particularly, after China announced the deregulation of the COVID-19 epidemic, health risks escalated rapidly. The convergence of \"no longer controlled\" viruses and the infodemic has created a distinctive social period during which multiple factors may have influenced people\'s decision-making. Among these factors, the precautionary intentions of older individuals, as a susceptible health group, deserve special attention.
OBJECTIVE: This study aims to examine the intention of older adults to engage in preventive behaviors and the influencing factors, including social, media, and individual factors, within the context of the postepidemic era. Drawing upon the structural influence model of communication, this study tests the potential mediating roles of 3 different types of media exposure between cognitive and structural social capital and protective behavior intention, as well as the moderating role of negative emotions between social capital and media exposure.
METHODS: In this study, a web survey was used to collect self-reported quantitative data on social capital, media exposure, negative emotions, and the intention to prevent COVID-19 among older adults aged ≥60 years (N=399) in China.
RESULTS: The results indicate that cognitive social capital significantly influenced protective behavior intention (P<.001), with cell phone exposure playing an additional impactful role (P<.001). By contrast, newspaper and radio exposure and television exposure mediated the influence of structural social capital on protective behavior intention (P<.001). Furthermore, negative emotions played a moderating role in the relationship between cognitive social capital and cell phone exposure (P<.001).
CONCLUSIONS: This study suggests that using tailored communication strategies across various media channels can effectively raise health awareness among older adults dealing with major pandemics in China, considering their diverse social capital characteristics and emotional states.

UNASSIGNED: Sleep efficiency is often used as a measure of sleep quality. Getting sufficiently high-quality sleep has been associated with better cognitive function among older adults; however, the relationship between day-to-day sleep quality variability and cognition has not been well-established.
UNASSIGNED: We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults, using accelerometer data and 3 cognitive tests.
UNASSIGNED: We included older adults aged >65 years with at least 5 days of accelerometer wear time from the National Health and Nutrition Examination Survey (NHANES) who completed the Digit Symbol Substitution Test (DSST), the Consortium to Establish a Registry for Alzheimer\'s Disease Word-Learning subtest (CERAD-WL), and the Animal Fluency Test (AFT). Sleep efficiency was derived using a data-driven machine learning algorithm. We examined associations between sleep efficiency variability and scores on each cognitive test adjusted for age, sex, education, household income, marital status, depressive symptoms, diabetes, smoking habits, alcohol consumption, arthritis, heart disease, prior heart attack, prior stroke, activities of daily living, and instrumental activities of daily living. Associations between average sleep efficiency and each cognitive test score were further examined for comparison purposes.
UNASSIGNED: A total of 1074 older adults from the NHANES were included in this study. Older adults with low average sleep efficiency exhibited higher levels of sleep efficiency variability (Pearson r=-0.63). After adjusting for confounding factors, greater average sleep efficiency was associated with higher scores on the DSST (per 10% increase, β=2.25, 95% CI 0.61 to 3.90) and AFT (per 10% increase, β=.91, 95% CI 0.27 to 1.56). Greater sleep efficiency variability was univariably associated with worse cognitive function based on the DSST (per 10% increase, β=-3.34, 95% CI -5.33 to -1.34), CERAD-WL (per 10% increase, β=-1.00, 95% CI -1.79 to -0.21), and AFT (per 10% increase, β=-1.02, 95% CI -1.68 to -0.36). In fully adjusted models, greater sleep efficiency variability remained associated with lower DSST (per 10% increase, β=-2.01, 95% CI -3.62 to -0.40) and AFT (per 10% increase, β=-.84, 95% CI -1.47 to -0.21) scores but not CERAD-WL (per 10% increase, β=-.65, 95% CI -1.39 to 0.08) scores.
UNASSIGNED: Targeting consistency in sleep quality may be useful for interventions seeking to preserve cognitive function among older adults.

UNASSIGNED: The societal burden of cognitive impairment in China has prompted researchers to develop clinical prediction models aimed at making risk assessments that enable preventative interventions. However, it is unclear what types of risk factors best predict future cognitive impairment, if known risk factors make equally accurate predictions across different socioeconomic groups, and if existing prediction models are equally accurate across different subpopulations.
UNASSIGNED: This paper aimed to identify which domain of health information best predicts future cognitive impairment among Chinese older adults and to examine if discrepancies exist in predictive ability across different population subsets.
UNASSIGNED: Using data from the Chinese Longitudinal Healthy Longevity Survey, we quantified the ability of demographics, instrumental activities of daily living, activities of daily living, cognitive tests, social factors and hobbies, psychological factors, diet, exercise and sleep, chronic diseases, and 3 recently published logistic regression-based prediction models to predict 3-year risk of cognitive impairment in the general Chinese population and among male, female, rural-dwelling, urban-dwelling, educated, and not formally educated older adults. Predictive ability was quantified using the area under the receiver operating characteristic curve (AUC) and sensitivity-specificity curves through 20 repeats of 10-fold cross-validation.
UNASSIGNED: A total of 4047 participants were included in the study, of which 337 (8.3%) developed cognitive impairment 3 years after baseline data collection. The risk factor groups with the best predictive ability in the general population were demographics (AUC 0.78, 95% CI 0.77-0.78), cognitive tests (AUC 0.72, 95% CI 0.72-0.73), and instrumental activities of daily living (AUC 0.71, 95% CI 0.70-0.71). Demographics, cognitive tests, instrumental activities of daily living, and all 3 recreated prediction models had significantly higher AUCs when making predictions among female older adults compared to male older adults and among older adults with no formal education compared to those with some education.
UNASSIGNED: This study suggests that demographics, cognitive tests, and instrumental activities of daily living are the most useful risk factors for predicting future cognitive impairment among Chinese older adults. However, the most predictive risk factors and existing models have lower predictive power among male, urban-dwelling, and educated older adults. More efforts are needed to ensure that equally accurate risk assessments can be conducted across different socioeconomic groups in China.

UNASSIGNED: Estradiol is a sex steroid hormone, which has been implicated in the pathogenesis of Alzheimer\'s disease and cognitive impairment. This cross-sectional study aimed to examine the relationship between serum estradiol levels and cognitive performance in older American women.
UNASSIGNED: Data were obtained from the National Health and Nutrition Examination Survey 2013-2014. A total of 731 women aged ≥60 years who met the inclusion criteria were included in this study. Serum estradiol levels were measured using the isotope dilution liquid chromatography tandem mass spectrometry (ID-LC-MS/MS) method developed by the Centers for Disease Control and Prevention for routine analysis. All measured serum levels were further divided into three parts: T1, <3.68 pg./mL; T2, 3.68-7.49 pg./mL; T3, >7.49 pg./mL, and analyzed. Participants\' cognitive abilities were tested using the Vocabulary Learning Subtest (CERAD), Animal Fluency Test (AFS), and digital symbol substitution test (DSST). Scores for each test were calculated based on the sample mean and standard deviation (SD). To examine the relationship between serum estradiol level tertiles and cognitive scores, multiple linear regression models were developed, controlling for race/ethnicity, education level, hypertension, diabetes, and insomnia.
UNASSIGNED: The mean age of the participants was 69.57 ± 6.68 years. The non-Hispanic whites were 78.95%, and those who had completed at least some college-level education were 60.62%. The mean BMI of the participants was 29.30 ± 6.79, and 10.85% had a history of smoking. Further, 73.41% did not have a history of alcohol consumption, and 63.03% had hypertension (63.03%). In addition, 81.81 and 88.3% did not have a history of diabetes mellitus and did not have sleep disorders, respectively. The mean serum estradiol level was 8.48 ± 0.77 pg./mL. Multivariate linear regression of the reference group consisting of participants in tertiles of serum estradiol levels revealed that one unit increase in serum estradiol levels increased DSST scores by 0.61 (0.87, 6.34) in the T3 group. However, no significant correlation was found in the CERAD and AFS tests.
UNASSIGNED: Participants with higher estradiol levels had higher DSST scores and better processing speed, sustained attention, and working memory, suggesting that serum estradiol may serve as a biomarker for cognitive decline in older women.

BACKGROUND: Grey divorce and later remarriage have become increasingly common in high-income countries, but previous evidence on their impacts on mental health is scarce. Even less is known about the effects of non-marital separation and re-partnering in later life.
METHODS: Using Finnish registry data from 1996 to 2018 on 228 644 individuals aged 50-70 in 2000-2014, trajectories of antidepressant (AD) use 4 years before and 4 years after divorce, non-marital separation, bereavement and subsequent re-partnering were examined using individual fixed-effects (FE) linear probability models.
RESULTS: In adjusted FE models, for both genders AD use increased during the 4 years before divorce (men: 5.00 percentage points (95% CI 4.50 to 5.50); women: 6.96 (95% CI 6.34 to 7.59)), non-marital separation (men: 3.20 (95% CI 2.72 to 3.69); women: 5.98 (95% CI 5.30 to 6.66)) and bereavement (men: 4.53 (95% CI 3.97 to 5.09); women: 5.64 (95% CI 5.25 to 6.04)), with the increase accelerating immediately before the event. AD use gradually declined after union dissolution, after which it stabilised on a persistently higher level compared with pre-dissolution. Re-partnering was only associated with a small and transitory reduction in AD use (0.1-1.5 percentage points). The increases in AD use associated with union dissolution were larger in women than in men, whereas the small reductions in AD use associated with re-partnering were particularly short-lived among women.
CONCLUSIONS: Our results suggest that union dissolution in later life is associated with large and persistent increases in AD use, whereas the reductions associated with re-partnering are limited both in magnitude and duration.

OBJECTIVE: To identify culturally related stressors that influence self-care in Chinese older adults with multiple chronic conditions.
BACKGROUND: Effective self-care can improve health outcomes for chronic conditions, but implementing self-care is challenging. Individuals with multiple chronic conditions face even more self-care complexity than those with single chronic conditions, generating additional stressors. Although stressors have been found to negatively influence self-care in multiple chronic conditions, the role of culture in generating stressors has been neglected.
METHODS: This paper reports on the qualitative component of a larger mixed-methods study. Two free-response items in a survey were used to identify culturally related stressors that influence self-care. This report adhered to the SRQR guideline checklist.
METHODS: Data were collected between January and April 2022. One hundred and thirty-eight free text responses asking participants to identify stressors that influenced their self-care effectiveness were analysed sequentially using deductive content analysis and thematic analysis.
RESULTS: Findings from deductive content analysis largely confirmed published work in Western literature on stressors complicating self-care, including symptom burdens, financial strains, social disconnection, caregiving responsibilities and major life events. Findings from reflexive thematic analysis extended current literature by identifying three culturally relevant stressors: intergenerational obligations and commitments, ambivalence about receiving care and worries about potential problems.
CONCLUSIONS: Chinese older adults with multiple chronic conditions identified a wide range of stressors that impacted their day-to-day self-care. This study provided valuable insights into culturally related stressors in older adults with multiple chronic conditions. Findings deepened our knowledge of cultural influences on the success of self-care in older adults with multiple chronic conditions, suggesting the potential for reaching populations across different cultures and regions.
UNASSIGNED: Stressors that might influence self-care ability are important for nurses to assess in people with multiple chronic conditions. The design of self-care interventions should take a culturally tailored intergenerational family-centred approach to help mitigate the impact of stressors and ultimately improve patient outcomes.
CONCLUSIONS: What problem did the study address? Stressors documented in older adults with MCCs have all been generated from research with Western populations. China is now home to the largest population of older people in the world. Understanding the influence of culturally relevant stressors on self-care in Chinese older adults with MCCs is lacking. What were the main findings? Findings from deductive content analysis largely confirmed published work in Western literature on stressors that complicated self-care, including symptom burdens, financial strains, social disconnection, caregiving responsibilities and major life events. Findings from reflexive thematic analysis extended current literature by identifying three culturally relevant stressors in older adults with MCCs in China: intergenerational obligations and commitments, ambivalence about receiving care and worries about potential problems. Where and on whom will the research have an impact? The research will have an impact on guiding nurses\' assessment of culturally relevant stressors\' impact on self-care for older adults with MCCs. In addition, findings could inform research and policy development to aim at mitigating the impact of culturally based stressors on self-care.
UNASSIGNED: This study adhered to the Standards for Reporting Qualitative Research (SRQR) guideline checklist.
UNASSIGNED: During the member-checking process, the validation of findings for accuracy was carried out by 10 participants, who also found resonance between these findings and their own experiences.

Recently developments in the field of positive psychology have provided new perspectives for understanding the connection between individual variation in Quality of life (QoL) and positive aspects of human potential, strengths, and resources, commanding increasing attention. This study aimed to examine self-reported quality of life (QoL) profiles and the association of QoL profiles with positive psychosocial characteristics in Chinese older adults.
A convenient sample of 354 older adults in nursing homes was recruited from Guangdong Province, China, between November 2020 and January 2021. Latent Profile Analysis (LPA) was conducted to explore QoL profiles using the four WHOQOL-BREF domains as input variables. Multinomial logistic regression was performed to explore the association between latent profiles and predictors.
LPA identified three latent QoL profiles: \"low QoL with poor psychological health\" (18.1%), \"moderate QoL\" (46.0%) and \"high QoL\" (35.9%). Frequency of weekly activity, optimism, gratitude, and social support were associated with the increased likelihood of belonging to the moderate-to-high QoL classes. Furthermore, Class 2 (moderate QoL group, reference) was compared with Class3 (high QoL group), higher frequency of weekly physical activity and spending more time on physical activity exhibited higher odds of belonging to high QoL class.
Using the domains of the WHOQOL-BREF scale, the QoL profiles Chinese older adults can be identified. We found that psychosocial variables and demographic characteristic, including lower level of optimism and gratitude, lack of social support, low frequency of physical activity, and shorter activity duration time, heighten the risk for lower levels of QoL. Identifying classification may help focus on those at elevated risk for poor QoL and for developing tailored QoL improvement programs.

Chronic disease incidence among the elderly is increasing, which is correlated with the acceleration of population aging. Evolving internet technologies may help prevent and provide interventions for chronic diseases in an accelerating aging process. However, the impact of daily internet use on the incidence of chronic diseases is not well understood.
This study aims to investigate whether daily internet use by middle-aged and older adults may inhibit or promote the occurrence of chronic diseases.
We included participants from the China Health and Retirement Longitudinal Study (CHARLS), a longitudinal survey of Chinese residents aged ≥45 years. We assessed 8-year data from wave 1 (June 2011-March 2012) to wave 4 (July-September 2018) in CHARLS. Data from wave 4 were used for a cross-sectional study, and data from all 4 waves were used for a longitudinal study. Self-reported data were used to track variables, including internet use, use frequency, and the incidence of different chronic diseases. Cox proportional hazards modeling was applied in the longitudinal study to examine the relationship between daily internet use and chronic diseases among middle-aged and older adults, while adjusting for sociodemographic characteristics and health behaviors. In addition, longitudinal data were used to analyze internet usage trends, and cross-sectional data were used to analyze the factors influencing internet use.
Among the 20,113 participants included in the longitudinal analyses, internet use increased significantly, from 2% to 12.3%, between 2011 and 2018. The adjusted model found statistically significant relationships between daily internet use and a lower incidence of the following chronic diseases: hypertension (hazard ratio [HR] 0.78, 95% CI 0.65-0.95, P=.01), chronic lung disease (HR 0.74, 95% CI 0.57-0.97, P=.03), stroke (HR 0.69, 95% CI 0.50-0.94, P=.02), digestive disease (HR 0.73, 95% CI 0.58-0.91, P=.005), memory-related disorders (HR 0.58, 95% CI 0.37-0.91, P=.02), arthritis or rheumatism (HR 0.60, 95% CI 0.48-0.76, P<.001), asthma (HR 0.52, 95% CI 0.33-0.84, P=.007), depression (HR 0.80, 95% CI 0.71-0.89, P<.001), and vision impairment (HR 0.83, 95% CI 0.74-0.93, P=.004). Moreover, our study also showed that with increasing frequency of internet use, the risk of some chronic diseases decreases.
This study found that middle-aged and older adults who use the internet have a reduced risk of developing chronic diseases versus those who do not use the internet. The increasing prevalence of daily internet use among middle-aged and older adults may stimulate contemplation of the potential role of internet platforms in future research on chronic disease prevention.

BACKGROUND: Conventional exercises (CEs) can provide health benefits for older adults, but the long-term exercise adherence rate is low. As an emerging, stimulating, and self-motivating strategy, exergames (EGs) are defined as combinations of exercises and games that users carry out through physical actions. They can promote exercise, but the health effects of EGs versus CEs on the physical function and mental health (cognitive function, depression, and quality of life) of older adults remain controversial.
OBJECTIVE: The aim of the study is to compare the health benefits of EGs versus those of CEs for the physical function and mental health of older adults.
METHODS: A comprehensive search was conducted from the earliest available date to February 2023 in the following 6 databases: PubMed, Web of Science, Embase, Cochrane, CINAHL, and PsycINFO. All English-language randomized controlled trials comparing the effects of EGs versus those of CEs on the physical function and mental health of older adults, with nearly same physical activity between the 2 interventions, were included. Risk of bias was independently evaluated by 2 authors using the Cochrane risk of bias in randomized trials tool. Two authors independently extracted data. We followed the Cochrane Handbook of Systematic Reviews of Interventions to process and analyze the data for meta-analysis. Standardized mean differences (SMDs) and 95% CIs were used for continuous data, and random models were used for analyses.
RESULTS: We included 12 studies consisting of 919 participants in total. Of these, 10 studies were eventually included in the meta-analysis. The results showed that EGs versus CEs exhibited no significant differences in physical (P=.13; τ2=0.31; χ26=26.6; I2=77%; SMD=0.37; 95% CI -0.11 to 0.86) or cognitive function (P=.63; τ2=0.01; χ23=3.1; I2=4%; SMD=0.09; 95% CI -0.27 to 0.44) effects.
CONCLUSIONS: Our findings indicate no significant difference between EGs and CEs in improving the physical function and cognitive function of older adults. Future studies are required to compare the effects of EGs versus those of CEs on cognitive function according to cognitive status, quantify the \"dose-effect\" relationship between EGs and health benefits, and evaluate the effects of different types and devices of EGs with regard to the health benefits of older adults.
BACKGROUND: PROSPERO CRD42022322734; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=322734.

World Health Organization (WHO) has defined healthy ageing by highlighting five functional ability domains to (meet basic needs, make decisions, be mobile, build and maintain relationships, and contribute to society), which also emphasized the importance of addressing loneliness as priorities within United Nations Decade of Healthy Ageing initiative. However, the level and determinants of healthy ageing and its association with loneliness are rarely examined. This study aimed to construct a healthy ageing index to verify the WHO healthy ageing framework, measure five domains of functional ability of older adults and examine the relationship between functional ability domains and loneliness.
A total of 10,746 older adults from the 2018 China Health and Retirement Longitudinal Study (CHARLS) were included. A healthy ageing index ranging from 0 to 17 was constructed using 17 components related to functional ability domains. Univariate and multivariate logistic regression analyses were utilized to determine the association between loneliness and healthy ageing. The STROBE guidelines with the RECORD statement for observational studies using routinely collected health data were observed.
The factor analysis verified the five functional ability domains for healthy ageing. After adjusting for confounders, being mobile, building and maintaining relationships, and learning, growing and making decisions were significantly associated with lesser loneliness among participants.
The healthy ageing index of this study can be utilized and further modified with respect to large-scale research with relevant healthy ageing topics. Our findings will support healthcare professionals to provide patient-centered care when identifying their comprehensive abilities and needs.