Neighborhood Social Capital and Achieved Mobility of Older Adults

2014 ◽  
Vol 26 (8) ◽  
pp. 1301-1319 ◽  
Author(s):  
Andrea L. Rosso ◽  
Loni P. Tabb ◽  
Tony H. Grubesic ◽  
Jennifer A. Taylor ◽  
Yvonne L. Michael
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Living Arrangement ◽  
Mean Difference ◽  
Neighborhood Characteristics ◽  
Community Based ◽  
Census Tracts ◽  
Individual Level ◽  
Neighborhood Social Capital ◽  
Mean Differences

Objective: Evaluate associations of neighborhood social capital and mobility of older adults. Method: A community-based survey (Philadelphia, 2010) assessed mobility (Life-Space Assessment [LSA]; range = 0-104) of older adults ( n = 675, census tracts = 256). Social capital was assessed for all adults interviewed from 2002-2010 ( n = 13,822, census tracts = 374). Generalized estimating equations adjusted for individual- and neighborhood-level characteristics estimated mean differences and 95% confidence intervals (CIs) in mobility by social capital tertiles. Interactions by self-rated health, living arrangement, and race were tested. Results: Social capital was not associated with mobility after adjustment for other neighborhood characteristics (mean difference for highest versus lowest tertile social capital = 0.79, 95% CI = [−3.3, 4.8]). We observed no significant interactions. In models stratified by race, Black participants had higher mobility in high social capital neighborhoods (mean difference = 7.4, CI = [1.0, 13.7]). Discussion: Social capital may not contribute as much as other neighborhood characteristics to mobility. Interactions between neighborhood and individual-level characteristics should be considered in research on mobility.

scholarly journals Financial Resources and Later-Year Relocation From the Annuitized Assessment of Income and Assets

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 50-50
Author(s):  
Jun-Hong Chen ◽  
Sojung Park
Keyword(s):  
Older Adults ◽  
Living Arrangement ◽  
Panel Study ◽  
Behavioral Model ◽  
Well Being ◽  
Economic Factor ◽  
Health Condition ◽  
Financial Resources ◽  
Individual Level ◽  
Mortality Table

Abstract Solid evidence has shown financial resources play important roles in housing decisions among older adults. Despite the growing research on the joint assessment of income and assets as valid economic well-being, little attention is paid to its role in relocation in old age. Drawing from the Behavioral Model of Elderly Migration, this study examined to what extent financial resources are associated with the likelihood of moving in later years. The data came from the 2017 Panel Study of Income Dynamic (PSID). A sample of 1354 people, 65 years and older, was used in the analyses. We used the annuitized approach, which is different from conventional approaches that assume people draw down all available assets to satisfy daily needs and leave no assets for use in later years. We (1) assessed annuitized assets based on the 2019 IRS Mortality Table, (2) assessed yearly income using supplementary income (i.e. income plus non-discretionary expense). A final indicator of the summed score was used in a logistic regression to predict the likelihood of moving. A set of covariates known to affect later- year relocation at an individual level (e.g. health condition, living arrangement change), environmental level (e.g. rural, non-metro area) are controlled for. In clear conflict with previous studies, we found annual financial resources did not significantly influence relocation among older adults. The notable absence of the well-known role of the economic factor provides critical initial evidence about the importance of simultaneous assessment of financial resources for the literature on later year relocation.

Can an automated sleep detection algorithm for waist-worn accelerometry replace sleep logs?

2018 ◽  
Vol 43 (10) ◽  
pp. 1027-1032
Author(s):  
Tiago V. Barreira ◽  
Jessica G. Redmond ◽  
Tom D. Brutsaert ◽  
John M. Schuna ◽  
Emily F. Mire ◽  
...  
Keyword(s):  
Detection Algorithm ◽  
Good Evidence ◽  
Mean Difference ◽  
Absolute Difference ◽  
Individual Level ◽  
Wake Time ◽  
Highly Correlated ◽  
Mean Differences ◽  
Dependent Sample ◽  
The Individual

The purpose of this study was to test whether estimates of bedtime, wake time, and sleep period time (SPT) were comparable between an automated algorithm (ALG) applied to waist-worn accelerometry data and a sleep log (LOG) in an adult sample. A total of 104 participants were asked to log evening bedtime and morning wake time and wear an ActiGraph wGT3X-BT accelerometer at their waist for 24 h/day for 7 consecutive days. Mean difference and mean absolute difference (MAD) were computed. Pearson correlations and dependent-sample t tests were used to compare LOG-based and ALG-based sleep variables. Effect sizes were calculated for variables with significant mean differences. A total of 84 participants provided 2+ days of valid accelerometer and LOG data for a total of 368 days. There was no mean difference (p = 0.47) between LOG 472 ± 59 min and ALG SPT 475 ± 66 min (MAD = 31 ± 23 min, r = 0.81). There was no significant mean difference between bedtime (2348 h and 2353 h for LOG and ALG, respectively; p = 0.14, MAD = 25 ± 21 min, r = 0.92). However, there was a significant mean difference between LOG (0741 h) and ALG (0749 h) wake times (p = 0.01, d = 0.11, MAD = 24 ± 21 min, r = 0.92). The LOG and ALG data were highly correlated and relatively small differences were present. The significant mean difference in wake time might not be practically meaningful (Cohen’s d = 0.11), making the ALG useful for sample estimates. MAD, which gives a better estimate of the expected differences at the individual level, also demonstrated good evidence supporting ALG individual estimates.

scholarly journals Identifying Palliative Care Needs Among Older Adults in Nonclinical Settings

2018 ◽  
Vol 35 (12) ◽  
pp. 1477-1482 ◽  
Author(s):  
Elissa Kozlov ◽  
Anna Cai ◽  
Jo Anne Sirey ◽  
Angela Ghesquiere ◽  
M. Carrington Reid
Keyword(s):  
Older Adults ◽  
New York ◽  
Palliative Care ◽  
Living Arrangement ◽  
Community Settings ◽  
Supportive Services ◽  
Care Needs ◽  
Community Based ◽  
Acute Hospitalization ◽  
Palliative Care Needs

Though palliative care is appropriate for patients with serious illness at any stage of the illness and treatment process, the vast majority of palliative care is currently delivered in inpatient medical settings in the past month of life during an acute hospitalization. Palliative care can have maximal benefit to patients when it is integrated earlier in the illness trajectory. One possible way to increase earlier palliative care use is to screen for unmet palliative care needs in community settings. The goal of this study was to assess the rates of unmet palliative care needs in older adults who attend New York City–based senior centers. The results of this study revealed that 28.8% of participants screened positive for unmet palliative care needs. Lower education and living alone were predictors of positive palliative care screens, but age, gender, marital status, and race were not. This study determined that the rate of unmet palliative care needs in community-based older adults who attend senior center events was high and that living arrangement and education level are both correlates of unmet palliative care needs. Screening for unmet palliative care needs in community settings is a promising approach for moving palliative care upstream to patients who could benefit from the additional supportive services prior to an acute hospitalization.

scholarly journals SOCIAL CAPITAL AND HOME- AND COMMUNITY-BASED SERVICE UTILIZATION AMONG URBAN OLDER CHINESE ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S637-S637
Author(s):  
Changmin Peng ◽  
Jeffery A Burr ◽  
Kyungmin Kim ◽  
Nan Lu
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Behavioral Model ◽  
Chinese Adults ◽  
Community Based ◽  
Older Chinese ◽  
Cognitive Social Capital ◽  
Older Chinese Adults ◽  
The Relationship ◽  
Structural Social Capital

Abstract Home- and Community-Based Services (HCBS) are increasingly important for older adults who want to maintain their independence and remain in their communities. Although HCBS systems have been developed widely in many western countries and in some countries in Asia, China is just beginning to grapple with its rapidly aging population by offering HCBS in a limited fashion. The purpose of this study was to investigate the relationship between structural (e.g., citizenship activities, volunteering) and cognitive (e.g., social trust, a sense of belonging) social capital and HCBS utilization among older Chinese adults. The study also examined the mediating effect of structural social capital for the the relationship between cognitive social capital and HCBS utilization. We frame the study within the Andersen behavioral model of health services utilization and argue that within this framework social capital is an enabling factor. We analyzed survey data from 456 community-dwelling older adults living in the Gusu district of the city of Suzhou, China in 2015. Structural equation modeling was used to test the hypothesized relationships. The results showed that both cognitive and structural social capital were significantly associated with HCBS utilization. Structural social capital also served as a mediator between cognitive social capital and HCBS utilization, even after controlling for sociodemographic characteristics and other relevant covariates. The findings supported the utility of employing Andersen’s behavioral model and social capital theory for better understanding older Chinese adults’ utilization of HCBS. Interventions for increasing social capital may be useful for improving HCBS utilization in Chinese urban communities.

Association of Neighborhood Social Capital With Quality of Life Among Older People in Singapore

2019 ◽  
Vol 32 (7-8) ◽  
pp. 841-850 ◽  
Author(s):  
Anna P. Lane ◽  
Chek Hooi Wong ◽  
Špela Močnik ◽  
Siqi Song ◽  
Belinda Yuen
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Social Capital ◽  
Social Cohesion ◽  
Well Being ◽  
Cognitive Status ◽  
Community Dwelling ◽  
Neighborhood Social Capital ◽  
Community Dwelling Older Adults

Objective: To examine how neighborhood-based cognitive and structural social capital are associated with individual quality of life among a sample of community-dwelling older adults in Singapore. Method: Using survey data from 981 older adults (aged 55 years and above) in nine residential neighborhoods, multilevel models simultaneously estimated the effects of independent variables at the individual and neighborhood levels on quality of life (CASP-12). Results: Social cohesion (β = 1.39, p < .01) and associational membership (β = 19.16, p < .01) were associated with higher quality of life in models adjusted for neighborhood facilities and individual sociodemographics, social networks, functional limitations, global cognitive status, and medical conditions. Discussion: The results suggest that place-based or neighborhood social capital may be important for older person’s well-being. It identifies the contribution of structural (associational membership) and cognitive (social cohesion) social capital to the well-being of community-dwelling older adults in Singapore.

Community-Based Cognitive Social Capital and Depressive Symptoms Among Older Adults in Urban China: The Moderating Role of Family Social Capital

2019 ◽  
Vol 90 (3) ◽  
pp. 297-316
Author(s):  
Jingyue Zhang ◽  
Nan Lu
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Depressive Symptoms ◽  
Urban China ◽  
Community Based ◽  
Family Social Capital ◽  
Cognitive Social Capital ◽  
The Relationship ◽  
Moderating Role

The present study examined the moderating role of family social capital in the relationship between community-based cognitive social capital and depressive symptoms among community-dwelling older adults in urban China. Cross-sectional data were derived from a community survey conducted in Suzhou, China, in late 2015. Data from 441 respondents were included in the final analysis. Multiple group analysis was used to test the hypotheses. The latent construct of community-based cognitive social capital was based on trust and reciprocity indicators. Measurement invariance was established across groups with high or low family social capital. The results show that family social capital had a moderation effect on the relationship between community-based cognitive social capital and depressive symptoms. The effects of community-based cognitive social capital on depressive symptoms were higher among those with low family social capital. The findings demonstrate the interplay between family and community-based cognitive social capital. Policy and intervention implications are discussed.

Relationships Between Neighborhood Social Capital and The Occurrence of Outdoor Falls in Canadian Older Adults: A Multilevel Analysis

2017 ◽  
Vol 30 (7) ◽  
pp. 1108-1135
Author(s):  
Afshin Vafaei ◽  
William Pickett ◽  
Maria Victoria Zunzunegui ◽  
Beatriz E. Alvarado
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Odds Ratio ◽  
Regression Models ◽  
Census Data ◽  
Community Dwelling ◽  
Risk Of Falling ◽  
Logistic Regression Models ◽  
Neighborhood Social Capital ◽  
Neighborhood Level

Objective: The aim of this study was to examine whether neighborhood-level social capital is a risk factor for falls outside of the home in older adults. Methods: Health questionnaires were completed by community-dwelling Canadians aged +65 years living in Kingston (Ontario) and St-Hyacinthe (Quebec), supplemented by neighborhood-level census data. Multilevel logistic regression models with random intercepts were fit. Variations in the occurrence of falls across neighborhoods were quantified by median odds ratio and 80% interval odds ratio. Results: Between-neighborhood differences explained 7% of the variance in the occurrence of falls; this variance decreased to 2% after adjustment for neighborhood-level variables. In the fully adjusted models, higher levels of social capital increased the odds of falls by almost 2 times: (odds ratio [OR] = 2.10, 95% confidence interval [CI] = [1.19, 3.71]). Discussion: Living in neighborhoods with higher levels of social capital was associated with higher risk of falling in older adults, possibly through more involvement in social activities.

scholarly journals The role of socio-economic status and neighborhood social capital on loneliness among older adults: evidence from the Sant Boi Aging Study

2017 ◽  
Vol 52 (10) ◽  
pp. 1237-1246 ◽  
Author(s):  
Joan Domènech-Abella ◽  
Jordi Mundó ◽  
Elvira Lara ◽  
Maria Victoria Moneta ◽  
Josep Maria Haro ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Capital ◽  
Economic Status ◽  
Socio Economic Status ◽  
Neighborhood Social Capital ◽  
Aging Study
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