Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study

BACKGROUND

Cross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low "stressor reactivity" [SR]), were reported during the first wave of the COVID-19 pandemic in 2020.

OBJECTIVE

Extending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries.

METHODS

Over 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages. As (partly) preregistered, hypotheses were tested cross-sectionally at baseline (N=558), and longitudinally (n=200), using mixed effects models and mediation analyses.

RESULTS

RFs at baseline, including positive appraisal style (PAS), optimism (OPT), general self-efficacy (GSE), perceived good stress recovery (REC), and perceived social support (PSS), were negatively associated with SR scores, not only cross-sectionally (baseline SR scores; all P<.001) but also prospectively (average SR scores across subsequent weeks; positive appraisal (PA), P=.008; OPT, P<.001; GSE, P=.01; REC, P<.001; and PSS, P=.002). In both associations, PAS mediated the effects of PSS on SR (cross-sectionally: 95% CI -0.064 to -0.013; prospectively: 95% CI -0.074 to -0.0008). In the analyses of weekly RF-SR dynamics, the RFs PA of stressors generally and specifically related to the COVID-19 pandemic, and GSE were negatively associated with SR in a contemporaneous fashion (PA, P<.001; PAC,P=.03; and GSE, P<.001), but not in a lagged fashion (PA, P=.36; PAC, P=.52; and GSE, P=.06).

CONCLUSIONS

We identified psychological RFs that prospectively predict resilience and cofluctuate with weekly SR within individuals. These prospective results endorse that the previously reported RF-SR associations do not exclusively reflect mood congruency or other temporal bias effects. We further confirm the important role of PA in resilience.

Corrigendum: The interplay between quality of life and resilience factors in later life: a network analysis

[This corrects the article DOI: 10.3389/fpsyg.2021.752564.].

The Interplay Between Quality of Life and Resilience Factors in Later Life: A Network Analysis

Age-related challenges and transitions can have considerable social, psychological, and physical consequences that may lead to significant changes in quality of life (QoL). As such, maintaining high levels of QoL in later life may crucially depend on the ability to demonstrate resilience (i.e., successful adaptation to late-life challenges). The current study set out to explore the interplay between several resilience factors, and how these contribute to the realization and maintenance of (different facets of) QoL. Based on the previous work, we identified behavioral coping, positive appraisal, self-management ability, and physical activity as key resilience factors. Their interplay with (various facets of) QoL, as measured with the WHOQOL-OLD, was established through network analysis. In a sample of community-dwelling older adults (55+; N=1,392), we found that QoL was most strongly (and directly) related to positive appraisal style and self-management ability. Among those, taking care of multifunctional resources (i.e., yielding various benefits at the same time) seemed to be crucial. It connected directly to "satisfaction with past, present, and future activities," a key facet of QoL with strong interconnections to other QoL facets. Our analysis also identified resilience factor(s) with the potential to promote QoL when targeted by training, intervention, or other experimental manipulation. The appropriate set of resilience factors to manipulate may depend on the goal and/or facet of QoL that one aims to improve.

Positive appraisal of in-home family caregivers of dementia patients as an influence on the continuation of caregiving

BACKGROUND

We attempted to determine the factors that influence the continuation of in-home caregiving for patients with dementia.

METHODS

The participants were family caregivers of dementia patients who received home care services. Data were collected via a questionnaire completed by caregivers and then returned in the mail. Of the 705 caregivers who received the questionnaire, 405 completed and returned it (response rate: 57.4%).

RESULTS

The average age of the caregivers was 63.9 ± 11.5 years, and they had been providing care for an average of 5.1 ± 4.1 years. The average age of the patients was 84.7 ± 7.4 years. We analyzed the path model. Caregivers' current feelings about continuing caregiving were directly affected by a positive appraisal of caregiving (β = 0.20, P < 0.001) and by the burden they experienced (β = -0.39, P < 0.001). The continuation of caregiving of patients with worsening symptoms was directly affected by a positive appraisal of caregiving (β = 0.15, P < 0.01) and by the burden experienced by the caregivers (β = -0.46, P < 0.001). The continuation of caregiving was indirectly affected by the patients' cognitive impairment and by the behavioral and psychological symptoms of dementia score.

CONCLUSIONS

The continuation of in-home caregiving among caregivers of patients with dementia was affected by both positive appraisal and caregiver burden. In addition, the present study revealed that behavioral and psychological symptoms of dementia score indirectly affects the continuation of caregiving by directly affecting caregiver burden.