scholarly journals Prior Social Contact and Mental Health Trajectories during COVID-19: Neighborhood Friendship Protects Vulnerable Older Adults

Author(s):  
Daniel R. Y. Gan ◽  
John R. Best

Social networking protects mental health during a crisis. Prior contact with social organizations, friends, and non-friend neighbors may be associated with better trajectories of loneliness, depression and subjective memory during COVID-19. Regression analysis was conducted using longitudinal data from a representative sample of n = 3105 US adults aged ≥55 in April–October 2020. Latent profile analysis was also conducted. Prior contact with friends (B = −0.075, p < 0.001), neighbors (B = −0.048, p = 0.007), and social organizations (B = −0.073, p < 0.001) predicted for better mental health during COVID-19. Three profiles were identified: Profile 1 had the best outcomes, with prior contact with social organizations (B = −0.052, p = 0.044) predicting decreasing loneliness. For Profile 2, prior ‘meeting’ contact with friends predicted decreasing loneliness (B = −0.075, p < 0.001) and better subjective memory (B = −0.130, p = 0.011). Conversely, prior contact with neighbors (B = −0.165, p = 0.010) predicted worsening loneliness among Profile 3. The COVID-19 pandemic has had a differential impact on the mental health trajectories of aging adults with social ties of different strengths. Stronger neighborhood networks are important to mitigate poor mental health outcomes among vulnerable older adults during a crisis. Older adults who are living alone and had relied on non-friend neighbors for social connectedness require additional community supports. Policy interventions are required to mitigate the mental health impact of future pandemics.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 317-317
Author(s):  
John Best ◽  
Jessica Finlay ◽  
Daniel R Y Gan

Abstract Social support protects mental health during a crisis. We examined whether prior contact with social organizations and friends/neighbors was associated with better trajectories of loneliness, depression and self-rated memory during the COVID-19 pandemic. We conducted latent class analysis and regression analysis on longitudinal data from the COVID-19 Coping Study of US adults aged ≥55 from April-October 2020 (n=3105). Overall, prior contact with friends(B=-.075,p&lt;.001), neighbors(B=-.048,p=.007), and social organizations(B=-.073,p&lt;.001) predicted better mental health amid COVID-19. Three classes were identified: Class1 had the best outcomes, whereas Class3 had the worst outcomes and were most likely to live alone(B=.149,p&lt;.001). For Class1, prior contact with social organizations(B=-.052,p=.044) predicted decreasing loneliness. For Class2, prior contact with friends(B=-.075,p&lt;.001) predicted decreasing loneliness and better memory(B=-.130,p=.011). Conversely, prior contact with neighbors(B=-.165,p=.010) predicted worsening loneliness among Class3. Our findings pose new questions on the role of neighborhood networks to mitigate poor mental health outcomes among older adults during a crisis.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fugui Li ◽  
Sihui Luo ◽  
Weiqi Mu ◽  
Yanmei Li ◽  
Liyuan Ye ◽  
...  

Abstract Background A pandemic is a very stressful event, especially for highly vulnerable people (e.g., older adults). The purpose of the current study was to investigate the main and interactive relationships of social support and resilience on individual mental health during the COVID-19 pandemic across three age groups: emerging adults, adults, and older adults. Methods A survey was conducted with 23,192 participants aged 18–85. Respondents completed a questionnaire, including items on the COVID-19-related support they perceived from different sources, the abbreviated version of the Connor-Davidson Resilience Scale, and the Mental Health Inventory. Results Latent profile analysis identified five profiles of social support, and the patterns of potential profiles were similar in all groups. However, category distribution in the five profiles was significantly different among the age groups. Furthermore, analysis using the BCH command showed significant differences in mental health among these profiles. Lastly, interactive analyses indicated resilience had a positive relationship with mental health, and social support served as a buffer against the negative impact of low resilience on mental health. Conclusions This study provides quantitative evidence for socioemotional selectivity theory (SST) and enables several practical implications for helping different age groups protecting mental health during pandemic.


2015 ◽  
Vol 37 (1) ◽  
pp. 90-112 ◽  
Author(s):  
AN-SOFIE SMETCOREN ◽  
LIESBETH DE DONDER ◽  
SARAH DURY ◽  
NICO DE WITTE ◽  
TINIE KARDOL ◽  
...  

ABSTRACTOlder people consider moving home when there is a discrepancy between actual and desired living conditions. This study builds on the classic push and pull framework described in the early work of Lee and Wiseman by identifying whether or not individual differences among older people can be predictive for certain push and pull reasons (such as housing, health, neighbourhood and social contact). On the basis of data from the Belgian Ageing Studies (N = 35,402), it was found that 13.9 per cent of older respondents had moved in the last ten years (N = 4,823). An analysis of the movers revealed inequalities in the reasons for moving in later life and raises the question of whether a relocation is voluntary (being able to move) or involuntary (being forced to move). Respondents with lower household incomes and poor mental health were significantly more likely to have moved because of stressors pushing them out of their previous dwelling, whereas older people with higher household incomes or home-owners were mainly pulled towards a more attractive environment.


2021 ◽  
pp. 154120402110124
Author(s):  
Christopher D’Amato ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
William Miller

The goal of this study was to identify distinct and meaningful profiles of the seven criminogenic risk and need domains included on the Ohio Youth Assessment System—Disposition Tool (OYAS-DIS). This goal was accomplished by conducting a latent profile analysis (LPA) on a sample of 4,383 formally processed justice-involved youth assessed by the OYAS-DIS. The LPA determined there were six distinct profiles: (1) Low risk and need, (2) Low/moderate risk and need, (3) Low risk/need with high juvenile justice history, (4) Academic, mental health, and substance use needs, (5) Prosocial skills and decision making, and (6) High risk and need. Results may help juvenile justice practitioners to identify and address specific intervention needs of adjudicated youth.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 637-637
Author(s):  
Hyunyup Lee ◽  
Carolyn Aldwin ◽  
Sungrok Kang ◽  
Xyle Ku

Abstract We investigated the dimensional structure of mental health among aging Korean Veterans using latent profile analysis (LPA) on posttraumatic stress disorder symptoms (PTSD), late onset stress symptomology (LOSS), and psychosocial well-being (PWB). The Korean Vietnam War Veterans Study consists of 367 men (Mage=72, SD=2.66). LPA identified five classes of mental health as best fitting the data. Most men were in the normal (38%) and moderate distress (31%) groups, while smaller proportions were in the low affect (13%) and severe distress (7%) groups. The resilient group (12%) had low PTSD, medium LOSS, and high PWB, and were highest on optimism, positive appraisals of military service, and social support. Negative and positive aspects of mental health outcomes were on separate dimensions rather than on a single bipolar dimension. Service providers should attempt to both reduce Veterans’ negative psychological symptoms and increase psychosocial well-being. Part of a symposium sponsored by the Aging Veterans: Effects of Military Service across the Life Course Interest Group.


Author(s):  
Louise C. Hawkley ◽  
Laura E. Finch ◽  
Ashwin A. Kotwal ◽  
Linda J. Waite

2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Jasmina Mehulić ◽  
Željka Kamenov

The ongoing coronavirus disease-2019 (COVID-19) pandemic presents an acute stressor affecting mental health. In these stressful times, intimate relationships functioning could serve as a protective or a risk factor to the well-being of partners. Adult Croatian citizens engaged in intimate relationships (N = 727) reported their relationship characteristics and assessed symptoms of depression, anxiety, and stress during the state lockdown in May 2020. Three relationship profiles based on variations in key relationship characteristics were identified using latent profile analysis. Profiles represented distinct relationship types described as affectionate, ambivalent, and antagonistic relationships. These relationship types differed in their levels of love and perception of humility, responsiveness, and behavior of the partner. Relationship type was associated with mental health symptoms such as depression, anxiety, and stress during the COVID-19 pandemic and state lockdown. Being in an affectionate relationship was associated with the lowest levels of depression, anxiety, and stress, while in an antagonistic relationship these are in the highest levels. Ambivalent relationships were characterized by moderate levels on all measured mental health indicators with no difference in anxiety compared with affectionate relationships. The results emphasized the link between relationship functioning and successful coping with mental health hazards such as the fear of disease or restrictive measures put in place to contain the COVID-19 pandemic.


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