scholarly journals Longitudinal Effects of Coping Strategies on Mental Health of Older Adults Living Alone During the COVID-19 Pandemic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 440-441
Author(s):  
Seoyoun Kim ◽  
Hyunwoo Yoon ◽  
Yuri Jang

Abstract The COVID-19 pandemic and related social distancing measures have posed a significant threat to the mental health of older adults, particularly those living alone. Accordingly, the World Health Organization implemented the #HealthyAtHome program, encouraging people to keep in regular contact with loved ones, stay physically active, and keep a regular routine. The current study aims to examine a micro-longitudinal link between positive coping strategies (e.g., exercise, meditation, relaxation, and virtual social contacts) and depressive symptoms among older adults who live alone during the COVID-19 pandemic. We used 21 biweekly waves of longitudinal data from the Understanding America Study (UAS) collected between April 2020 and February 2021 (N=839, observation= 16,256). The multilevel models with correlated random effects were estimated to examine lagged effects of coping strategies (t-1) on depressive symptoms (t). The analysis used the xthybrid command with clustered standard errors in Stata 15.1. The results show that exercise (b=-.10, p=0.02), relaxation (b=-02, p=0.01), and virtual social contacts (b=-.01, p=0.01) were predictive of lower depressive symptoms even after controlling for time-invariant and time-varying covariates. Meditation, however, was associated with higher depressive symptoms (b=.01, p=0.02). The results show that modifiable lifestyle factors, such as taking time to exercise or relax, may enhance mental health and well-being for older adults living alone. Virtual social contacts such as video calls could be an effective way to keep older adults socially connected and emotionally healthy.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S880-S880
Author(s):  
Zhiyong Lin

Abstract As the processes of urbanization and globalization have intensified across the world, a burgeoning literature has documented the impact of emigration on the health of family members left behind in emigrant communities. Although the association between children’s migration and parental well-being is well documented, few have examined the health implications of children’s migration in the milieu of multiple children and further differentiated between children’s short-term and long-term migration. Therefore, I argue that it is not the geographic locality of a single child but the composition of all children’s location that matters. I further suggest that the impact of children’s migration on parental wellbeing is conditioned on the duration of children’s migration. Using a six waves longitudinal data (2001-2015) collected in rural China, this paper compares mental health (measured as depressive symptoms) trajectories of old adults (aged 60 and older) across different compositions of local and migrant children over a 14-year span. Results from growth curve models show that parents having more migrant children relative to local children experience a more rapid increase in depressive symptoms. In addition, older adults who have their most children migrate away for three or more waves of data have experienced the steepest rate of increase in depressive symptoms. These findings provide new evidence to support the life course processes of mental health disparities among older adults from the perspective of intergenerational proximity.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 251-251
Author(s):  
Kheng Siang Ted Ng ◽  
Shu Cheng Wong ◽  
Glenn Wong ◽  
Ee Heok Kua ◽  
Anis Larbi ◽  
...  

Abstract Despite increasing emphasis on assessing the mental health of older adults, there has been inconclusive evidence on whether depression and psychological well-being (PWB) are fundamentally distinct constructs or representations of the opposite ends of the mental health spectrum. To instantiate either hypothesis, investigation of the associations between mental health scales and biomarkers have been proposed. First, we assessed depressive symptoms and PWB in community-dwelling older adults (N=59, mean age=67) using the Self-Rating Depression Scale (SDS) and Ryff’s Scale of PWB (comprising six sub-scales). We measured a wide range of immune markers employing ELISA and flow cytometry. Subsequently, we used principal component analysis (PCA) to aggregate and derived biomarker factor scores. Lastly, multiple linear regressions were performed to examine the associations between the scales and the derived biomarker factor scores, controlling for covariates. PCA extracted six biomarker factors. Biomarker factor score 1 was significantly associated with PWB (β=-0.029, p=0.035) and the PWB sub-scale, self-acceptance (β=-0.089, p=0.047), while biomarker factor score 4 was significantly associated with the PWB sub-scale, purpose in life (β=-0.087, p=0.025). On the other hand, biomarker factor 6 was significantly associated with SDS (β=-0.070, p=0.008). There were mutually- exclusive associations between the scales with biomarker factor scores, supporting the hypothesis of distinct constructs. Our findings expanded the biomarkers of depression and PWB, deepening understanding of the biological underpinnings of depressive symptoms and PWB. These findings have implications in field work, since researchers could not infer one construct from the other, the examination of both constructs are essential.


2019 ◽  
Vol 31 (12) ◽  
pp. 1801-1808 ◽  
Author(s):  
Lotte Hendriks ◽  
Marjolein A. Veerbeek ◽  
Daniëlle Volker ◽  
Lindsay Veenendaal ◽  
Bernadette M. Willemse

ABSTRACTObjective:General practices play an important role in the detection and treatment of depressive symptoms in older adults. An adapted version of the indicated preventive life review therapy group intervention called Looking for Meaning (LFM) was developed for general practice and a pilot evaluation was conducted.Design:A pretest-posttest design was used. One week before and one week after the intervention participants filled out questionnaires.Setting:In six general practices in the Netherlands the adapted intervention was given.Participants:Inclusion criteria were > 60 years and a score of 5 or higher on the Center for Epidemiological Studies Depression Scale (CES-D).Intervention:The length and number of LFM sessions were shortened and the intervention was given by one mental health care nurse practitioner (MHCNP).Measurements:The impact on mental health was analyzed by depressive symptoms (CES-D) as the primary outcome and anxiety symptoms (HADS-A), psychological well-being (PGCMS) and mastery (PMS) as secondary outcomes. An evaluative questionnaire was included to evaluate the feasibility and acceptability.Results:Most participants were satisfied with the adaptations of the number (72%) and length (72%) of sessions. The overall sample showed a significant decrease in depressive symptoms after the intervention. No impact was found on psychological well-being, anxiety symptoms and mastery.Conclusions:The intervention is feasible and acceptable for older adults with depressive symptoms and has an impact on their depressive symptoms.


Author(s):  
Ehud Bodner ◽  
Amit Shrira ◽  
Yaakov Hoffman ◽  
Yoav S Bergman

Abstract Objectives Evidence of daily fluctuations in subjective age and their association with older adults’ well-being was recently obtained. Yet, neither the simultaneous tracking of two daily views on aging (i.e., daily subjective age and daily ageist attitudes) nor their interactive effect on mental health (i.e., depressive symptoms) has been explored. We hypothesized that (a) at days on which older adults feel older or report high ageist attitudes they would report higher depressive symptoms, (b) combined older subjective age and high ageist attitudes will be associated with the highest daily depressive symptoms. Method Community-dwelling older adults (N = 134, mean age = 69.66) completed measures of subjective age, ageist attitudes, and depressive symptoms for 10 consecutive days. Results Daily older subjective age and higher ageist attitudes were related to higher depressive symptoms, but there was no combined effect of both on depressive symptoms. There was a significant three-way interaction between subjective age, ageist attitudes, and chronological age, demonstrating the interactive effect of subjective age and ageist attitudes on depressive symptoms only among the old-old respondents. Time-lagged analyses further showed that ageist attitudes during previous days predicted feeling older and more depressed on following days, but not vice versa. Discussion Results suggest that old-old individuals are more susceptible to a combination of negative views on aging on daily basis. Findings further support a daily assimilation process, whereby previous-day stereotypes are assimilated and manifested into one’s identity and mental health, so that one feels older and more depressed on subsequent days.


2021 ◽  
Vol 33 (S1) ◽  
pp. 8-9
Author(s):  
Jayashree Dasgupta ◽  
Meenakshi Chopra

Background:COVID pandemic in India, lockdowns and an unprepared health system has affected wellbeing of older adults. Low public awareness about mental health issues and stigma also contribute to low help seeking. Exploring impact of COVID on mental health of older adults and understanding support needs is essential.Research Objective:To examine mental wellbeing and coping strategies used by urban community residing older adults during the pandemic in India.Method:As part of an ongoing community engagement initiative with older adults and their families, an online survey was conducted during the first wave of the pandemic in April/May 2020. Sociodemographic details and information on coping strategies were gathered. The five-item General Health Questionnaire (GHQ) was used to screen for psychological distress and data were analyzed using descriptive statistics. Respondents were contacted again in May 2021 during the second COVID wave for a telephonic interview to understand current levels of distress and coping strategies. Consent was taken for audio recording and interviews were conducted using a semi-structured interview guide. Interviews were transcribed and analyzed using thematic analysis.Preliminary results of the ongoing study:Respondents (N=54) aged between 40-86 years (Mn = 60; SD = 18.9). Majority were male (61%), retired or homemakers (57%) and widowed/unmarried (52%). Of the sample 70% had one or more pre-existing medical conditions. A score of ≥ 2 on GHQ in 66% respondents indicates psychological distress. Stressors included health and well-being of family (62%), difficulty managing household work (42%) and increase in family conflicts (17%). Although 72% discussed their worries with family/friends, only 25% considered speaking with a mental health professional indicating low help seeking. Of respondents contacted again, 40% citied ill health or being busy as reasons for refusal to participate. Of those who agreed, 33% reported psychological distress. In-depth interviews, showed use of online mental wellness sessions and yoga/meditation to be beneficial coping strategies. Need for more online support groups was also highlighted.Conclusion:Psychological distress is present amongst community residing older adults in urban India. A change in attitude towards tele mental health must be leveraged to provide support for adults experiencing psychological distress.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 250-250
Author(s):  
Karen Fingerman ◽  
Shiyang Zhang

Abstract Social contacts may lead to more positive and less negative emotions in late life, yet we know little about how narcissism influences such associations, and whether contacts with close and not-close social partners impact mood differently. This study examined associations between social contacts, narcissism, and mood on the within- and between- person level. Older adults aged 65 + (N = 303) completed ecological momentary assessments in which they reported social contacts and mood every 3 hours for 5 to 6 days. Older adults had higher positive mood after contacting either close or not-close social partners, but only not-close social partners reduced negative mood. Multilevel models found positive associations between average social contacts number and positive mood among people scored lower on narcissism, and positive associations between social contacts and negative mood for those who scored higher on narcissism. Findings suggest the necessity of considering interpersonal differences in interventions targeting well-being.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Toshiki Hata ◽  
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Abstract Background We examined whether dietary variety (DV) might alleviate poor mental health (MH) of living-alone (LA) older adults. Methods Cross-sensational data from 15073 (7566 men; 7507 women) residents aged 65-84 years were assessed using the WHO-Five Well-being Index to determine poor MH (defined by a score ≤ 12) and DV (low and high DV defined by a score ≤ 3 and ≥ 4, respectively). Participants were divided into living together with high DV (G1), living together with low DV (G2), LA with high DV (G3), and LA with low DV (G4). Logistic regression analyses stratified by gender were performed to examine the association of poor MH with LA and DV. Results Prevalence of LA, low DV, and poor MH were 13.6%, 63.3%, and 26.1%, respectively, in men, and 21.2%, 54.6%, and 24.8%, respectively, in women. Compared with the G1, the multivariate-adjusted odds ratios (ORs) (95% confidence intervals) for worse MH were 1.69 (1.49-1.93) for G2, 2.04 (1.50-2.78) for G3, and 3.34 (2.70-4.11) for G4 in men. Corresponding ORs were 1.73 (1.52-1.96), 1.02 (0.83-1.26), and 1.66 (1.36-2.01) in women. Conclusions The association of poor MH with LA was more apparent in older adults with low DV than in those with high DV; however, this association differed with gender. Key message Eating a variety of food may help alleviate the negative effects of living alone on mental health in older adults.


2020 ◽  
Author(s):  
Meng Huo ◽  
Lisa M Soederberg Miller ◽  
Kyungmin Kim ◽  
Siwei Liu

Abstract Background and Objectives Scholars argue that volunteering enhances social, physical, and cognitive activities that are increasingly valued as people age, which in turn improves older adults’ well-being via a host of psychosocial and neurobiological mechanisms. This study explicitly tested older adults’ self-perceptions of aging as a mechanism underlying the mental health benefits of volunteering. Research Design and Methods Using 2-wave data from the Health and Retirement Study (2008/2010 for Wave 1 and 2012/2014 for Wave 2), we analyzed reports from a pooled sample of older adults aged 65 or older (N = 9,017). Participants reported on demographic characteristics, volunteer work (did not volunteer, 1–99 h/year, 100+ h/year), self-perceptions of aging, and depressive symptoms. We estimated an autoregressive cross-lagged panel model. Results Volunteering for 100 h or more per year was associated with older adults’ more positive and less negative self-perceptions of aging in the subsequent wave (i.e., 4 years later), which in turn predicted fewer depressive symptoms. Discussion and Implications This study suggests the promising role of volunteering in shaping older adults’ self-perceptions of aging on a sustained basis and refines our understanding of the benefits volunteering brings. Findings shed light on future interventions aimed at improving older adults’ adjustment to age-related changes and lessening ageism in society.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 863-863
Author(s):  
Zhiyong Lin ◽  
Feinian Chen

Abstract Time use is considered a valuable descriptor of people’s lifestyles, and studying how people spend their time is critical for understanding the determinants and consequences of individual well-being. In this study, we first develop a time use typology to characterize how older adults in rural Chinese families allocate their time in later life, and then examined how older adults’ time allocation influenced their mental health, with a special focus on differential implications for older women and men. Data derived from 2015 and 2018 waves of a longitudinal study of 1,007 older adults, aged 60 and older, living in rural areas of Anhui Province, China. We specifically focused on how social and solitary dimensions of time use, as well as time spent within and outside households, impacted depressive symptoms of older adults. Using the K-means cluster analysis, we identified four time use categories: “work-oriented,” “socially-active,” “homemaker/ caretaker,” and “socially-isolated.” Results from fixed-effects regression analysis demonstrated that older women involved in “socially-active” time-use category tended to report better mental than those in other time-use types, while the time spent on housework and caregiving was harmful to their mental health. For older men, more time spent on paid activities outside households (“work-oriented”) was associated with better psychological outcomes while solitary leisure time (“socially-isolated”) was associated with higher levels of depressive symptoms. These findings will be helpful for health policymakers and practitioners who seek to better identify vulnerable subpopulations and to design effective intervention strategies to reduce mental health problems.


Author(s):  
Andrea Amerio ◽  
Andrea Brambilla ◽  
Alessandro Morganti ◽  
Andrea Aguglia ◽  
Davide Bianchi ◽  
...  

Since the World Health Organization (WHO) declared the coronavirus infectious disease 2019 (COVID-19) outbreak a pandemic on 11 March, severe lockdown measures have been adopted by the Italian Government. For over two months of stay-at-home orders, houses became the only place where people slept, ate, worked, practiced sports, and socialized. As consolidated evidence exists on housing as a determinant of health, it is of great interest to explore the impact that COVID-19 response-related lockdown measures have had on mental health and well-being. We conducted a large web-based survey on 8177 students from a university institute in Milan, Northern Italy, one of the regions most heavily hit by the pandemic in Europe. As emerged from our analysis, poor housing is associated with increased risk of depressive symptoms during lockdown. In particular, living in apartments <60 m2 with poor views and scarce indoor quality is associated with, respectively, 1.31 (95% CI: 1046–1637), 1.368 (95% CI: 1166–1605), and 2.253 (95% CI: 1918–2647) times the risk of moderate–severe and severe depressive symptoms. Subjects reporting worsened working performance from home were over four times more likely to also report depression (OR = 4.28, 95% CI: 3713–4924). Housing design strategies should focus on larger and more livable living spaces facing green areas. We argue that a strengthened multi-interdisciplinary approach, involving urban planning, public mental health, environmental health, epidemiology, and sociology, is needed to investigate the effects of the built environment on mental health, so as to inform welfare and housing policies centered on population well-being.


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