scholarly journals 24 Loneliness, Social Isolation and Frailty Among Older Adults in England: Results From the English Longitudinal Study of Ageing

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i7-i11
Author(s):  
K Davies ◽  
A Maharani ◽  
T Chandola ◽  
C Todd ◽  
N Pendleton

Abstract Introduction Ten percent of over 65 s and between a quarter and half of over 85 s are frail. Loneliness and social isolation are associated with increased falls, rates of hospitalisation and mortality. Lonely and socially isolated older adults may also be at risk of frailty. We examined the relationship between loneliness, social isolation and incident frailty among older adults in England longitudinally over 12 years. Methods The study sample are 9,171 older adults aged ≥50 years participating in a population representative longitudinal panel survey, the English Longitudinal Study of Ageing Waves 2–8. To define frailty across the biannual waves, we used the Frailty Index (FI), analysed continuously and into categories (FI ≤0.08 non-frail, 0.08–0.25 pre-frail and ≥ 0.25–1 frail). We used baseline (Wave 2): loneliness measure using the UCLA 3-item loneliness scale; social isolation measure using previously reported method (Banks et al. The Institute for Fiscal Studies. 2006.). Both were categorised into low/medium/high. To examine relationships, we used linear mixed methods modelling (for the continuous FI), and Cox proportional hazard model (for the categorical FI). Results Loneliness (β = 0.023; 95% CI = 0.022, 0.025) and social isolation (β = 0.007; 95% CI = 0.003, 0.010) were significantly associated with increased FI, after adjusting for cofounders (gender, age, marital status, smoking status and wealth). There was a 60% greater relative risk of belonging to the frail class with a medium loneliness score compared to low (HR = 1.570; 95% CI 1.492, 1.652) and a 160% greater relative risk with high loneliness score compared to low (HR = 2.621; 95% CI 2.488, 2.761). Although less pronounced, there was a 1% greater relative risk of developing frailty with a medium social isolation score compared to low (HR = 1.010, 95% CI 1.010, 1.197) and a 30% greater relative risk with high social isolation score compared to low (HR = 1.267; 95% CI 1.154, 1.390). Conclusions Our research indicates both loneliness and social isolation increase risk of developing frailty, expanding on previous evidence. This provides further support to the importance of understanding approaches to promote social inclusion of older adults.

2020 ◽  
pp. 1-24
Author(s):  
Stephanie Stockwell ◽  
Brendon Stubbs ◽  
Sarah E. Jackson ◽  
Abi Fisher ◽  
Lin Yang ◽  
...  

Abstract The aim of this study was to explore associations between internet/email use in a large sample of older English adults with their social isolation and loneliness. Data from the English Longitudinal Study of Ageing Wave 8 were used, with complete data available for 4,492 men and women aged ⩾ 50 years (mean age = 64.3, standard deviation = 13.3; 51.7% males). Binomial logistic regression was used to analyse cross-sectional associations between internet/email use and social isolation and loneliness. The majority of older adults reported using the internet/email every day (69.3%), fewer participants reported once a week (8.5%), once a month (2.6%), once every three months (0.7%), less than every three months (1.5%) and never (17.4%). No significant associations were found between internet/email use and loneliness, however, non-linear associations were found for social isolation. Older adults using the internet/email either once a week (odds ratio (OR) = 0.60, 95% confidence interval (CI) = 0.49–0.72) or once a month (OR = 0.60, 95% CI = 0.45–0.80) were significantly less likely to be socially isolated than every day users; those using internet/email less than once every three months were significantly more likely to be socially isolated than every day users (OR = 2.87, 95% CI = 1.28–6.40). Once every three months and never users showed no difference in social isolation compared with every day users. Weak associations were found between different online activities and loneliness, and strong associations were found with social isolation. The study updated knowledge of older adults’ internet/email habits, devices used and activities engaged in online. Findings may be important for the design of digital behaviour change interventions in older adults, particularly in groups at risk of or interventions targeting loneliness and/or social isolation.


Author(s):  
Ilona I. McMullan ◽  
Brendan P. Bunting ◽  
Annette Burns ◽  
Lee Smith ◽  
Connor Cunningham ◽  
...  

Social relationships are central to the health and well-being of older adults. Evidence exploring the association of physical activity (PA) with social isolation and loneliness is limited. This study uses a path analysis to investigate the longitudinal association between loneliness and social isolation with PA using the Irish Longitudinal Study on Ageing. Higher levels of social isolation measured using the Berkman–Syme Social Network Index were directly and indirectly associated with lower levels of walking, moderate PA, and vigorous PA over 6 years. Additionally, higher levels of walking were associated with lower levels of loneliness measured using a modified version of the University of California, Los Angeles loneliness scale over a 3-year period. Future interventions should target individuals who are more socially isolated and explore the effects of different types of PA on loneliness over time.


Gerontology ◽  
2017 ◽  
Vol 64 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Catharine R. Gale ◽  
Cyrus Cooper

Background: Older people with more negative attitudes to ageing are at increased risk of several adverse outcomes, including decline in physical function and increased difficulties with activities of daily living. Objective: We investigated whether negative attitudes to ageing increase the risk of the onset or progression of frailty. Method: Participants were 3,505 men and women aged 60 years and over from the English Longitudinal Study of Ageing. They completed a 12-item questionnaire on attitudes to ageing. Exploratory factor analysis was used to examine the structure of these items, and a single factor was derived which we labelled “physical and psychological loss.” Frailty was assessed by the Fried phenotype of physical frailty at waves 2 and 4, and by a frailty index at waves 2-5. Results: Having a more positive attitude to ageing as regards “physical and psychological loss” was associated with a decreased risk of becoming physically frail or pre-frail at follow-up. For a standard deviation increment in score, the relative risk ratios (95% confidence interval), adjusted for age, sex and baseline level of physical frailty, were 0.86 (0.79, 0.94) for pre-frailty and 0.72 (0.63, 0.83) for frailty. Further adjustment for other potential confounding variables had only slight attenuating effects on these associations: multivariable-adjusted relative risk ratios were 0.89 (0.81, 0.98) for pre-frailty and 0.78 (0.68, 0.91) for frailty. Attitude to ageing was not associated with change in the frailty index over time after adjustment for potential confounding variables. Conclusion: Older people who have a more positive attitude to ageing are at reduced risk of becoming physically frail or pre-frail. Future research needs to replicate this finding and discover the underlying mechanisms. Attitude to ageing was not a risk factor for change in the more broadly defined frailty index.


2020 ◽  
Author(s):  
Rachel Elizabeth Weiskittle ◽  
Michelle Mlinac ◽  
LICSW Nicole Downing

Social distancing measures following the outbreak of COVID-19 have led to a rapid shift to virtual and telephone care. Social workers and mental health providers in VA home-based primary care (HBPC) teams face challenges providing psychosocial support to their homebound, medically complex, socially isolated patient population who are high risk for poor health outcomes related to COVID-19. We developed and disseminated an 8-week telephone or virtual group intervention for front-line HBPC social workers and mental health providers to use with socially isolated, medically complex older adults. The intervention draws on skills from evidence-based psychotherapies for older adults including Acceptance and Commitment Therapy, Cognitive-Behavioral Therapy, and Problem-Solving Therapy. The manual was disseminated to VA HBPC clinicians and geriatrics providers across the United States in March 2020 for expeditious implementation. Eighteen HBPC teams and three VA Primary Care teams reported immediate delivery of a local virtual or telephone group using the manual. In this paper we describe the manual’s development and clinical recommendations for its application across geriatric care settings. Future evaluation will identify ways to meet longer-term social isolation and evolving mental health needs for this patient population as the pandemic continues.


2021 ◽  
pp. 1-8
Author(s):  
Bin Yu ◽  
Andrew Steptoe ◽  
Yongjie Chen ◽  
Xiaohua Jia

Abstract Background Social isolation and loneliness have each been associated with cognitive decline, but most previous research is limited to Western populations. This study examined the relationships of social isolation and loneliness on cognitive function among Chinese older adults. Methods This study used two waves of data (2011 and 2015) from the China Health and Retirement Longitudinal Study and analyses were restricted to those respondents aged 50 and older. Social isolation, loneliness, and cognitive function were measured at baseline. Follow-up measures on cognitive function were obtained for 7761 participants (mean age = 60.97, s.d. = 7.31; male, 50.8%). Lagged dependent variable models adjusted for confounding factors were used to evaluate the association between baseline isolation, loneliness, and cognitive function at follow-up. Results Loneliness was significantly associated with the cognitive decline at follow-up (episodic memory: β = −0.03, p < 0.01; mental status: β = −0.03, p < 0.01) in the partially adjusted models. These associations became insignificant after additional confounding variables (chronic diseases, health behaviors, disabilities, and depressive symptoms) were taken into account (all p > 0.05). By contrast, social isolation was significantly associated with decreases in all cognitive function measures at follow-up (episodic memory: β = −0.05, p < 0.001; mental status: β = −0.03, p < 0.01) even after controlling for loneliness and all confounding variables. Conclusions Social isolation is associated with cognitive decline in Chinese older adults, and the relationships are independent of loneliness. These findings expand our knowledge about the links between social relationships and the cognitive function in non-Western populations.


Author(s):  
Rebecca Bendayan ◽  
Yajing Zhu ◽  
A D Federman ◽  
R J B Dobson

Abstract Background We aimed to examine the multimorbidity patterns within a representative sample of UK older adults and their association with concurrent and subsequent memory. Methods Our sample consisted of 11,449 respondents (mean age at baseline was 65.02) from the English Longitudinal Study of Ageing (ELSA). We used fourteen health conditions and immediate and delayed recall scores (IMRC and DLRC) over 7 waves (14 years of follow up). Latent class analyses were performed to identify the multimorbidity patterns and linear mixed models were estimated to explore their association with their memory trajectories. Models were adjusted by socio-demographics, BMI and health behaviors. Results Results showed 8 classes: Class 1:Heart Disease/Stroke (26%), Class 2:Asthma/Lung Disease (16%), Class 3:Arthritis/Hypertension (13%), Class 4:Depression/Arthritis (12%), Class 5:Hypertension/Cataracts/Diabetes (10%), Class 6:Psychiatric Problems/Depression (10%), Class 7:Cancer (7%) and Class 8:Arthritis/Cataracts (6%). At baseline, Class 4 was found to have lower IMRC and DLRC scores and Class 5 in DLRC, compared to the no multimorbidity group (n=6380, 55.72% of total cohort). For both tasks, in unadjusted models, we found an accelerated decline in Classes 1, 3 and 8; and, for DLRC, also in Classes 2 and 5. However, it was fully attenuated after adjustments. Conclusions These findings suggest that individuals with certain combinations of health conditions are more likely to have lower levels of memory compared those with no multimorbidity and their memory scores tend to differ between combinations. Socio-demographics and health behaviours have a key role to understand who is more likely to be at risk of an accelerated decline.


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