COVID-19 pandemic impact on mental health in a large representative sample of older adults from the Lombardy region, Italy

Understanding resilience: Lifestyle-based behavioral predictors of mental health and well-being in community-dwelling older adults during the COVID-19 pandemic

BACKGROUND

Changes in sleep, physical activity and mental health were observed in older adults during early stages of the COVID-19 pandemic. Here we describe effects of the COVID-19 pandemic on older adult mental health, wellbeing, and lifestyle behaviors and explore predictors of better mid-pandemic mental health and wellbeing.

METHODS

Participants in the Adult Changes in Thought study completed measures of lifestyle behaviors (e.g., sleep, physical activity) and mental health and wellbeing both pre-pandemic during regular study visits and mid-pandemic via a one-time survey. We used paired t-tests to compare differences in these measures pre- vs. mid-pandemic. Using multivariate linear regression, we further explored demographic, health, and lifestyle predictors of pandemic depressive symptoms, social support, and fatigue. We additionally qualitatively coded free text data from the mid-pandemic survey for related comments.

RESULTS

Participants (N = 896) reported significant changes in mental health and lifestyle behaviors at pre-pandemic vs. mid-pandemic measurements (p < 0.0001). Qualitative findings supported these behavioral and wellbeing changes. Being male, never smoking, and lower pre-pandemic computer time and sleep disturbance were significantly associated with lower pandemic depressive symptoms. Being partnered, female, never smoking, and lower pre-pandemic sleep disturbance were associated with higher pandemic social support. Pre-pandemic employment, more walking, less computer time, and less sleep disturbance were associated with less pandemic fatigue. Participant comments supported these quantitative findings, highlighting gender differences in pandemic mental health, changes in computer usage and physical activity during the pandemic, the value of spousal social support, and links between sleep disturbance and mental health and wellbeing. Qualitative findings also revealed additional factors, such as stresses from personal and family health situations and the country's concurrent political environment, that impacted mental health and wellbeing.

CONCLUSIONS

Several demographic, health, and lifestyle behaviors appeared to buffer the effects of the COVID-19 pandemic and may be key sources of resilience. Interventions and public health measures targeting men and unpartnered individuals could promote social support resilience, and intervening on modifiable behaviors like sleep quality, physical activity and sedentary activities like computer time may promote resilience to fatigue and depressive symptoms during future community stressor events. Further research into these relationships is warranted.

Health and social home services among community-dwelling older people during COVID-19: Results from the cross-sectional LOST in Lombardia project

BACKGROUND

Few studies have focused on changes in health and social services access due to the COVID-19 pandemic. We aimed to describe changes in the use of selected health and social home services due to the pandemic and to investigate potential associated factors, including socio-demographic characteristics, number of chronic diseases and mental health indicators, among older Italian individuals.

METHODS

We analysed data from the LOST in Lombardia cross-sectional study conducted in November 2020 on a large representative sample of 4400 individuals aged ⩾65 years. To identify potential factors associated with the increased use of three selected health and social home services, we estimated odds ratios (OR) and confidence intervals (CI) using multivariable logistic regression models.

RESULTS

Compared to the year before, 5.0% of older adults increased help from domestic workers (vs. 6.9% reducing) during the pandemic, 4.4% increased help from non-familiar caregivers (vs. 1.3% decreasing) and 4.7% increased medical home visits (vs. 1.0% decreasing). An increase in the use of these services was more frequent among participants with co-morbidities (p for trend <0.001), especially with diabetes (for caregivers: OR=12.2, 95% CI 6.0-24.8), and worse mental health (for caregivers and for those with a GAD-2 score ⩾3 vs. <3: OR=10.6, 95% CI 5.8-19.4). Conversely, people living in more crowded households less frequently increased health and social services use during the pandemic.

CONCLUSIONS

Our results should inform targeted interventions for the identified vulnerable groups to close the gap in health and social inequities.

Global burden of sleep disturbances among older adults and the disparities by geographical regions and pandemic periods

Sleep disturbances are highly prevalent during the COVID-19 pandemic, especially among older adults. We aimed to evaluate sleep heath during COVID-19 pandemic and assess the differences among geographical regions and pandemic periods. We searched three databases (PubMed, Embase, Web of Science) to find articles up to March 12, 2023. We included observational studies that reported the prevalence of sleep disturbances among adults aged 60 years or older in any setting. Two researchers independently reviewed the literature and retrieved the data. We used Der Simonian-Laird random effects meta-analyses to pool the data, followed by subgroup analysis, sensitivity analysis, and meta-regression. A total of 64 studies with 181,224 older adults during the pandemic were included. The prevalence of poor sleep quality, short sleep duration, long sleep duration, and insomnia symptoms were 47.12% (95% CI: 25.97%, 68.27%), 40.81% (95% CI: 18.49%, 63.12%), 31.61% (95% CI: 24.83%, 38.38%), and 21.15% (95% CI: 15.30%, 27.00%), respectively. The prevalence of sleep problems reported by self-constructed items was 26.97% (95% CI: 20.73%, 33.22%). When compared to America (64.13%), Europe (20.23%) and the Western Pacific (21.31%) showed a lower prevalence of sleep problems (all P < 0.0001). The prevalence of worsened sleep problems was 27.88% (95% CI: 11.94%, 43.82%). Compared to 2020 (15.14%), it increased to 47.42% in 2021 (P < 0.05). Eight studies on sleep disturbances among 672 older COVID-19 patients were included. The prevalence of sleep problems and insomnia symptoms among older COVID-19 patients were 41.58% (95% CI: 21.97%, 61.20%) and 41.56% (95% CI: 28.11%, 58.02%), respectively. A significant burden related to poor sleep has been observed among older adults worldwide over the past three years, with variations across different regions and time periods. It is important to make more efforts in prevention and intervention to identify the risk factors, treatment, and rehabilitation of sleep disturbances for healthy aging.

Grandparenting during pandemic times: pros and cons for mental health

BACKGROUND

The COVID-19 pandemic and associated lockdown measures posed an unprecedented challenge to the crucial role of grandparenting in family-oriented cultures, such as Italy. Reduced contact with grandchildren during this period potentially threatened grandparents' mental health and well-being.

METHODS

We analysed data from the LOckdown and lifeSTyles in Lombardia cross-sectional study conducted in November 2020. The study included a representative sample of 4400 older adults from Lombardy, Italy, of which 1289 provided childcare to their grandchildren.

RESULTS

A decrease in self-reported grandparenting was associated with an increased likelihood of experiencing depressive symptoms among grandparents (OR 1.50, 95% CI 1.01-2.24). Conversely, an increase in grandparenting was linked to poorer sleep quality (OR 11.67, 95% CI 5.88-23.17) and reduced sleep quantity (OR 2.53, 95% CI 1.45-4.41).

CONCLUSIONS

Despite the barriers posed by the pandemic, grandparenting played a beneficial role in maintaining the mental health and well-being of older adults. However, it is crucial to recognise specific vulnerabilities, such as gender, feelings of hopelessness and overcrowding, which can have detrimental effects during and beyond emergency situations. Careful attention to these factors is essential for developing targeted support systems and interventions aimed at safeguarding the mental health of older adults and enhancing their resilience in crises.

Sleep and Depression in Older Adults: A Narrative Review

PURPOSE OF REVIEW

The sleep-depression association has been recognized for decades. Efforts to clarify this association continue at an increasing pace. This review summarizes recent research on the sleep-depression association in older adults.

RECENT FINDINGS

Research over the past 4 years has utilized cross-sectional, longitudinal, cohort, and intervention designs to examine these associations. Short (< 7 h) and long (> 8-9 h) sleep durations and insomnia symptoms are risk factors for depression in older adults. Similarly, short sleep, long sleep, insomnia symptoms, and depression are all risk factors for poorer health in late life, including increased risk of cognitive decline, falls, and poorer quality-of-life. Intervention studies have produced mixed findings, with some studies suggesting that sleep interventions may be potentially effective in improving both insomnia and mood symptoms. Intervention studies incorporating both behavioral and physiological measures of sleep, and larger and diverse samples may enhance the field's understanding of the complex interplay between sleep and mood in older adults.

Transition to retirement impact on smoking habit: results from a longitudinal analysis within the Survey of Health, Ageing and Retirement in Europe (SHARE) project

BACKGROUND

In an ageing society, retirement impacts on behavioural risk factors and health outcomes should be carefully assessed. Scant evidence exists from longitudinal studies on the short- and long-term consequences of the transition to retirement on smoking habit.

METHODS

We conducted a longitudinal study based on the Survey of Health, Ageing and Retirement in Europe (SHARE) data from 27 European countries plus Israel collected in 2004-2020. To estimate relative risks (RR) and corresponding 95% confidence intervals (CI) for smoking status and intensity at seven time periods before and after retirement, we fitted adjusted generalised estimating equation (GEE) models for repeated measures.

RESULTS

We selected a cohort of 8998 individuals employed at baseline and retired at follow-up (median follow-up time: 9 years; maximum: 16 years). As compared to the year of retirement, the RR of smoking was 1.59 (95% CI 1.44-1.76) at 10 years or more before retirement, 1.35 (95% CI 1.25-1.46) from 5 to 9 years before retirement, and 1.18 (95% CI 1.10-1.27) from 1 to 4 years before retirement. Smoking steadily decreased after retirement, being 0.94 (95% CI 0.87-1.01) from 1 to 4 years after retirement, 0.76 (95% CI 0.69-0.84) from 5 to 9 years, and 0.58 (95% CI 0.46-0.74) 10 years or more after retirement. In smokers, the estimated number of cigarettes smoked/day decreased from about 27 cigarettes/day at 10 years or more before retirement to 9 cigarettes/day at 10 years or more after retirement (p trend < 0.001).

CONCLUSION

Longitudinal data suggest that lifestyles might favourably change with retirement. Further studies are needed to direct healthy ageing promotion policies better.