The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors: a longitudinal study among older adults in The Netherlands.

PURPOSE: Many studies report about risk factors associated with adverse changes in mental health during the COVID-19 pandemic while few studies report about protective and buffering factors, especially in older adults. We present an observational study to assess protective and buffering factors against COVID-19 related adverse mental health changes in older adults. METHODS: 899 older adults (55 +) in the Netherlands were followed from 2018/19 to two pandemic time points (June-October 2020 and March-August 2021). Questionnaires included exposure to pandemic-related adversities ("COVID-19 exposure"), depressive and anxiety symptoms, loneliness, and pre-pandemic functioning. Linear regression analyses estimated main effects of COVID-19 exposure and protective factors on mental health changes; interaction effects were tested to identify buffering factors. RESULTS: Compared to pre-pandemic, anxiety symptoms, depression symptoms and loneliness increased. A higher score on the COVID-19 adversity index was associated with stronger negative mental health changes. Main effects: internet use and high mastery decreased depressive symptoms; a larger network decreased anxiety symptoms; female gender, larger network size and praying decreased loneliness. COVID-19 vaccination buffered against COVID-19 exposure-induced anxiety and loneliness, a partner buffered against COVID-19 exposure induced loneliness. CONCLUSION: Exposure to COVID-19 adversity had a cumulative negative impact on mental health. Improving coping, finding meaning, stimulating existing religious and spiritual resources, network interventions and stimulating internet use may enable older adults to maintain mental health during events with large societal impact, yet these factors appear protective regardless of exposure to specific adversities. COVID-19 vaccination had a positive effect on mental health.

Cardiovascular risk indicators among depressed persons: A special case?

BACKGROUND: Traditional cardiovascular risk indicators only partially explain cardiovascular risks in depressed persons. Depressed persons may exhibit a profile of cardiovascular risk indicators that goes beyond traditional cardiovascular risk indicators, such as symptom severity, insomnia, loneliness and neuroticism, yet research on the added value of these depression-related characteristics in predicting cardiovascular risks of depressed persons is scarce. METHODS: Data from N = 1028 depressed Dutch adults without prevalent CVD were derived from two longitudinal depression cohort studies. The outcome was medication-confirmed self-reported CVD. Fifteen depression-related clinical and psychological characteristics were included and tested against traditional cardiovascular risk indicators. Data were analysed using Cox regression models. Incremental values of these characteristics were calculated using c-statistics. RESULTS: After a median follow-up of 65.3 months, 12.7% of the participants developed CVD. Only anxiety and depressive symptom severity were associated with incident CVD beyond traditional cardiovascular risk indicators. The c-statistic of the model with traditional cardiovascular risk indicators was 85.47%. This increased with 0.56 or 0.33 percentage points after inclusion of anxiety or depression severity, respectively. LIMITATIONS: Other relevant depression-related characteristics were not available in the datasets used. CONCLUSION: Anxiety and depressive symptom severity were indicative of an increased cardiovascular risk. Including these as additional risk indicators barely improved the ability to assess cardiovascular risks in depressed persons. Although traditional cardiovascular risk indicators performed well in depressed persons, existing risk prediction algorithms need to be validated in depressed persons.

Comparing cardiovascular disease incidence and prevalence between depressed and non-depressed older persons over time: Cohort differences in the Longitudinal Aging Study Amsterdam.

OBJECTIVE: Previous studies suggest that prevention of cardiovascular disease (CVD) is more difficult in depressed persons. Although the prevalence and incidence of CVD decreased over the past decades, it is uncertain whether this is also true for depressed persons. This study examined whether changes in the prevalence and incidence of CVD differ between depressed and non-depressed older persons. METHODS: Longitudinal data from three community-based representative birth cohorts aged 55-65 years of the Longitudinal Aging Study Amsterdam were used; N = 1070 born in 1926-1937, N = 995 born in 1938-1947, N = 1019 born in 1948-1957. The outcome included fatal and non-fatal CVD. Depression was defined as ≥16 points on the Center for Epidemiological Studies Depression Scale or a general practitioner's diagnosis of depression. Data were analysed with for age and sex adjusted logistic regression and cox regression models. RESULTS: Comparing cohort 2 and 3 with cohort 1 in the complete sample, the prevalence of CVD decreased by 2% (OR = 0.98, 95%CI = 0.76-1.26) and 32% (OR = 0.68, 95%CI = 0.52-0.89), respectively, and the three-year incidence of CVD decreased by 6% (OR = 0.94, 95%CI = 0.63-1.41) and 26% (OR = 0.74, 95%CI = 0.48-1.15), respectively. The 13-year incidence of CVD decreased by 19% (HR = 0.81, 95%CI = 0.67-0.99) in cohort 2 compared to cohort 1. These decreases did not differ statistically significantly between depressed and non-depressed respondents (p-values of interaction terms: 0.35-0.98). CONCLUSION: Substantial decreases in the prevalence and incidence of CVD were observed in depressed and non-depressed older persons. Although this is encouraging, cardiovascular risk remained higher in depressed persons over time, warranting tailored prevention programs for depressed older persons.

The joint effects of clinically relevant depressive symptoms and cardiovascular risk factors on incident cardiovascular disease among older adults in the community.

OBJECTIVE: To determine if there is a synergistic effect between clinically relevant depressive symptoms and cardiovascular risk factors that disproportionately increases the risk of cardiovascular disease (CVD) among older adults with depressive symptoms. METHODS: Data were obtained from the Longitudinal Aging Study Amsterdam, a longitudinal cohort study. N = 3091 respondents with up to seven years of follow-up were included. Incident CVD was based on self-report, medication use, general practitioners' diagnoses and causes of death. A score of ≥16 points on the Center for Epidemiological Studies Depression Scale indicated clinically relevant depressive symptoms. Risk factors included were sex, education, obesity, smoking, alcohol use, physical inactivity and diabetes mellitus. Data were analysed with Cox regression models. Measures of multiplicative and additive interaction were calculated to determine if the presence of both depressive symptoms and a risk factor amplified the risk of CVD. RESULTS: Of all participants, 12.6% had clinically relevant depressive symptoms and, after a median follow-up of six years, 15.7% developed CVD. Only the additive interaction between physical inactivity and depressive symptoms was statistically significant and explained 40.6% of the CVD risk among inactive persons with depressive symptoms. CONCLUSION: In the general population, we did not detect synergistic effects for most risk factors. However, older adults with clinically relevant depressive symptoms and a physically inactive lifestyle appeared to be at a particularly high risk to develop CVD and may represent an important target for cardiovascular prevention.

An examination of reciprocal effects between cardiovascular morbidity, depressive symptoms and loneliness over time in a longitudinal cohort of Dutch older adults.

BACKGROUND: Unidirectional studies suggest that the effects between cardiovascular disease, depressive symptoms and loneliness are reciprocal, but this has not been tested empirically. The aim was to study how cardiovascular morbidity, depressive symptoms and loneliness influence each other longitudinally. METHODS: Data from 2979 older adults from the Longitudinal Aging Study Amsterdam were analysed. Depressive symptoms (≥16 points on the Center for Epidemiologic Studies Depression Scale), loneliness (≥3 points on the De Jong Gierveld Loneliness Scale) and cardiovascular morbidity were measured five times during 13-year follow-up. With structural equation modelling, a full cross-lagged panel model was compared to nine nested models reflecting different sets of temporal effects. RESULTS: The best-fitting cross-lagged panel model showed reciprocal risk increasing effects between depressive symptoms and loneliness and a risk increasing effect of cardiovascular morbidity on depressive symptoms. LIMITATIONS: A cross-lagged panel model has technical limitations, such as that the chosen time lag may not be appropriate for each effect. In addition, differential loss to follow-up and collider bias may have led to an underestimation of the effects. CONCLUSIONS: Reciprocal effects tend to occur only between depressive symptoms and loneliness. Their interplay with cardiovascular morbidity seems more complex and mostly indirect, highlighting the potential of interventions to reduce depressive symptoms, loneliness and cardiovascular morbidity in concert to improve health at old age.

The Longitudinal Aging Study Amsterdam: cohort update 2019 and additional data collections.

The Longitudinal Aging Study Amsterdam (LASA) is a prospective cohort study of older adults in the Netherlands, initially based on a nationally representative sample of people aged 55-84 years. The study has been ongoing since 1992, and focuses on the determinants, trajectories and consequences of physical, cognitive, emotional and social functioning. Strengths of the LASA study include its multidisciplinary character, the availability of over 25 years of follow-up, and the cohort-sequential design that allows investigations of longitudinal changes, cohort differences and time trends in functioning. The findings from LASA have been reported in over 600 publications so far (see www.lasa-vu.nl). This article provides an update of the design of the LASA study and its methods, on the basis of recent developments. We describe additional data collections, such as additional nine-monthly measurements in-between the regular three-yearly waves that have been conducted among the oldest old during 2016-2019, and the inclusion of a cohort of older Turkish and Moroccan migrants.