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INTRODUCTION: The Health and Retirement Study International Partner Surveys (HRS IPS) have rich longitudinal data, but the brevity of cognitive batteries is a limitation. METHODS: We used data from a substudy of the English Longitudinal Study of Ageing (ELSA) administering detailed cognitive assessments with the Harmonized Cognitive Assessment Protocol (ELSA‐HCAP) (N = 1273) to inform approaches for estimating cognition in ELSA (N = 11,213). We compared two novel approaches: confirmatory factor analysis (CFA)‐ and regression‐based prediction. RESULTS: Compared to estimates from the full HCAP battery, estimated cognitive functioning derived using regression models or CFA had high correlations (regression: r = 0.85 [95% confidence interval [CI]: 0.83 to 0.87]; CFA: r = 0.83 [95% CI: 0.81 to 0.85]) and reasonable mean squared error (regression: 0.25 [0.22 to 0.27]; CFA: 0.29 [0.26 to 0.32]) in held‐out data. The use of additional items from waves 7 to 9 improved performance. DISCUSSION: Both approaches are recommended for future research; the similarity in approaches may be due to the brevity of available cognitive assessments in ELSA. Highlights: Estimates of cognitive functioning informed by English Longitudinal Study of Ageing‐Harmonized Cognitive Assessment Protocol (ELSA‐HCAP) data had an adequate performance.Standard errors were smaller for associations with example risks when using measures informed by ELSA‐HCAP.Performance was better when including additional cognitive measures available in waves 7 to 9.Conceptual advantages to the confirmatory factor analysis (CFA) approach were not important in practice due to the brevity of the ELSA cognitive battery. [ABSTRACT FROM AUTHOR]

Background Some studies have identified declines in mental health during the Coronavirus Disease 2019 (COVID-19) pandemic in different age groups, including older people. As anxiety and depression are common neuropsychiatric symptoms among people with cognitive impairment, the mental health experiences of older people during the pandemic should take cognitive function into consideration, along with assessments made prior to the pandemic. This study addresses evidence gaps to test whether changes in depression and anxiety among older people through the COVID-19 pandemic were associated with cognitive impairment. It also investigates whether associations varied according to key sources of sociodemographic inequality. Methods and findings Using data from the English Longitudinal Study of Ageing (ELSA) collected from 2018/2019 to November/December 2020, we estimated changes in depression and anxiety for people aged 50+ in England across 3 cognitive function groups: no impairment, mild cognitive impairment, and dementia. Conditional growth curve models were estimated for continuous measures over 3 time points (N = 5,286), with mixed-effects logistic regression used for binary measures. All models adjusted for demographics (age, gender, ethnicity, and cohabiting partnership), socioeconomics (education, wealth, and employment status), geography (urban/rural and English region), and health (self-rated and the presence of multimorbidity). We found that depression (measured with CES-D score) worsened from 2018/2019 to November/December 2020 for people with mild cognitive impairment (1.39 (95% CI: 1.29 to 1.49) to 2.16 (2.02 to 2.30)) or no impairment (1.17 (95%CI: 1.12 to 1.22) to 2.03 (1.96 to 2.10)). Anxiety, using a single-item rating of 0 to 10 also worsened among those with mild cognitive impairment (2.48 (2.30 to 2.66) to 3.14 (2.95 to 3.33)) or no impairment (2.20 (2.11 to 2.28) to 2.85 (2.77 to 2.95)). No statistically significant increases were found for those with dementia. Using a clinical cutoff for likely depression (CES-D [greater than or equal to]4), we found statistically significant increases in the probability of depression between 2018/2019 and November/December 2020 for those with no impairment (0.110 (0.099 to 0.120) to 0.206 (0.191 to 0.222)) and mild impairment (0.139 (0.120 to 0.159) to 0.234 (0.204 to 0.263)). We also found that differences according to cognitive function that existed before the pandemic were no longer present by June/July 2020, and there were no statistically significant differences in depression or anxiety among cognitive groups in November/December 2020. Wealth and education appeared to be stronger drivers for depression and anxiety, respectively, than cognitive impairment. For example, those with no impairment in the richest two-thirds scored 1.76 (1.69 to 1.82) for depression in June/July, compared to 2.01 (1.91 to 2.12) for those with no impairment in the poorest third and 2.03 (1.87 to 2.19) for those with impairment in the poorest third. Results may be limited by the small number of people with dementia and are generalizable only to people living in the community, not to those in institutional care settings. Conclusions Our findings suggest a convergence in mental health across cognitive function groups during the pandemic. This suggests mental health services will need to meet an increased demand from older adults, especially those not living with cognitive impairment. Further, with little significant change among those with dementia, their existing need for support will remain; policymakers and care practitioners should ensure this group continues to have equitable access to mental health support., Author(s): Brian Beach 1,*, Andrew Steptoe 2, Paola Zaninotto 1 Introduction Researchers and policymakers continue to be interested in the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on mental [...]

Objective: We examined trajectories of depressive symptoms and their predictors in adults with diabetes. We assessed whether these trajectories were related to life satisfaction and mortality. Design: Longitudinal, prospective observational study. Methods: We analysed data from 1217 adults with diabetes (aged ≥45 years) in the Korean Longitudinal Study of Aging (2006–2018). Results: Three trajectories of depressive symptomology were identified in growth mixture models: low/stable (i.e., low and stable levels of symptoms; 85.56%), high/decreasing (i.e., high levels of symptoms with a decreasing trajectory; 7.47%), and moderate/increasing (i.e., moderate levels of symptoms with an increasing trajectory; 6.98%). Participants with poor perceived health status at baseline were more likely to be in the moderate/increasing or high/decreasing classes than in the low/stable class. The moderate/increasing class had the lowest satisfaction with quality of life, followed by the high/decreasing and low/stable classes. The moderate/increasing and the high/decreasing classes had lower satisfaction with relationships with spouse and children than the low/stable class. The high/decreasing class had a higher mortality risk than the low/stable class. Conclusions: Long‐term monitoring of depressive symptoms in adults with diabetes is warranted given their potential adverse impact on life satisfaction and mortality. [ABSTRACT FROM AUTHOR]

Background and aims: Diabetes and/or hypertension are the most common conditions in older people, and also related to higher cardiovascular disease (CVD) incidence and mortality. This study aims to explore the risk of CVD incidence and mortality among older people with diabetes and/or hypertension over a 16 years follow-up period and investigates the role of depression and obesity in these relationships. Methods: 6,855 participants aged 50+ from the English Longitudinal Study of Ageing (ELSA). The main exposure is having diabetes and/or hypertension at baseline (2002/2003) compared to not having, but excluded those with coronary heart disease (CHD) and/or stroke (CVD). Survival models are used for CVD incidence and mortality up to 2018, adjusted for socio-demographic, health, health behaviours, cognitive function, and physical function characteristics. Results: 39.3% of people at baseline had diabetes and/or hypertension. The risk of CVD incidence was 1.7 (95%CI: 1.5; 1.9) higher among people with diabetes and/or hypertension compared to those without and was independent of covariates adjustment. People with diabetes and/or hypertension were also 1.3 (95%CI: 1.1; 1.8) times more likely to die from CVD than those without. We did not find evidence for an elevated risk of CVD incidence and mortality among people with obesity nor among those with depression. Conclusions: In order to effectively reduce the risk of CVD incidence and mortality among older people, treatment as well as management of hypertension and diabetes should be routinely considered for older people with diabetes and/or hypertension. [ABSTRACT FROM AUTHOR]

Background Hearing and vision difficulties are some of the most common deficits experienced by older adults. Having either visual or hearing difficulties increases the risk of comorbidity, disability, and poor quality of life. So far, however, few studies have examined the association between vision and hearing difficulties on life expectancy without activities of daily living (ADL) or instrumental ADL (IADL) limitations (LEWL). Methods Data came from the English Longitudinal Study of Ageing and the Health and Retirement Study in the United States from 2002 to 2013. The outcome was defined as reporting 2+ limitations with ADL/IADL. Life expectancy was estimated by discrete-time multistate life table models for hearing and vision difficulties separately as well as for combined vision and hearing difficulties by sex and age. Results Thirteen percent of men in England and the United States had ADL/IADL limitations, whereas, for women, it was 16% and 19% in England and the United States. At all ages, either vision or hearing difficulty was associated with shorter LEWL compared to no difficulties. Dual sensory difficulty (vision and hearing) reduced LEWL by up to 12 years in both countries. At the ages of 50 and 60 in England, hearing difficulty was associated with fewer years lived without ADL/IADL limitations than vision difficulty. In contrast, in the United States, vision difficulty led to fewer years lived without ADL/IADL limitations than hearing difficulty. Conclusions The implementation of strategies to reduce the prevalence and incidence of vision and hearing difficulties has the potential to increase the number of years spent without ADL/IADL limitations. [ABSTRACT FROM AUTHOR]

Vascular aging, i.e., the deterioration of the structure and function of the arteries over the life course, predicts cardiovascular events and mortality. Vascular degeneration can be recognized before becoming clinically symptomatic; therefore, its assessment allows the early identification of individuals at risk. This opens the possibility of minimizing disease progression. To review these issues, a search was completed using PubMed, MEDLINE, and Google Scholar from 2000 to date. As a network of clinicians and scientists involved in vascular medicine, we here describe the structural and functional age-dependent alterations of the arteries, the clinical tools for an early diagnosis of vascular aging, and the cellular and molecular events implicated. It emerges that more studies are necessary to identify the best strategy to quantify vascular aging, and to design proper physical activity programs, nutritional and pharmacological strategies, as well as social interventions to prevent, delay, and eventually revert the disease. [ABSTRACT FROM AUTHOR]

Stay-at-home and lockdown measures during the COVID-19 pandemic had an impact on health-related behaviors which in turn posed a risk to mental health, particularly among older people. In this study, we investigated how changes to health behaviors (physical activity, sleeping, eating, and drinking) impacted mental health (depression, quality of life, and life satisfaction) during and beyond the initial phase of the COVID-19 lockdown. Using data from Wave 9 (2018/19) and two COVID-19 sub-studies (June/July 2020; November/December 2020) of the English Longitudinal Study of Ageing (N = 4989), we found that health behaviors changes during lockdown were associated with poorer mental health in June/July 2020. However, in November/December 2020, higher depression, lower quality of life, and lower life satisfaction were more likely only among respondents who reported less physical activity, eating more, changes in sleep patterns, and drinking more alcohol. Public health programs should support healthy behaviors as we emerge from the pandemic. [ABSTRACT FROM AUTHOR]

Background Intrinsic capacity (IC) is a new concept in the healthy aging field and has many operationalized definitions. In this study, we operationalized IC using item response theory in the English Longitudinal Study of Ageing (ELSA) and tested the predictive value of the scale using a subsequent functional ability, mortality, and hospital admission. Methods IC was measured at baseline (2004, Wave 2) using 14 dichotomous indicators: word recall, orientation in time, balance, chair rises, walking speed, upper mobility, lower mobility, eyesight, hearing, grip strength, body mass index, waist circumference, depressive symptoms, and life satisfaction. A 2-parameter item response theory model was used to generate a scale of IC at baseline. Logistic regression was used for the prediction of subsequent difficulties, measured by difficulties with ≥1 activities of daily living (ADLs) and ≥1 instrumental activities of daily living (IADLs) at 4 and 8 years after baseline. Competing risk and Cox regressions were employed to test the prediction of hospital admission and mortality, respectively, over a 14-year follow-up. Results IC scores were generated for 4 545 individuals aged on average 70.8 years (standard deviation [ SD ] 7.93). Better baseline IC scores were associated with reduced risk of subsequent difficulties with ADLs and IADLs, hospital admission (subdistribution hazard ratios [SHR] = 0.99, 95% confidence interval [CI] 0.98–0.99), and mortality (hazard ratios [HR] = 0.98, 95% CI 0.98–0.99), when adjusted for sociodemographic and health-related covariates. Conclusion These results suggest the utility of this IC score as a measure of risk for future adverse outcomes in older people, potentially above that indicated by other sociodemographic and health-related factors. [ABSTRACT FROM AUTHOR]