The objectives of the current study were to describe the development of a social isolation measure based on Berkman and Syme's Social Network Index domains with data from the National Health and Aging Trends Study. A descriptive correlational design was used, establishing convergent and divergent validity of the measure with depression risk and well-being. Depression risk was measured with the Patient Health Questionnaire-2 and an ordinal well-being measure was developed based on measures in MIDUS-Midlife in the U.S.-A Study of National Health and Well-Being. Participants who scored ≥4 (cutoff point) on the social isolation measure represented 21.9% (N = 7,609) of the sample (95% confidence interval [20.6, 23.3]). Spearman's correlation with depression was 0.23 (p < 0.001) and -0.24 (p ≤ 0.001) with well-being. The weighted data complex samples general linear model with depression (R = 0.22, p ≤ 0.001) and well-being (R = -0.26, p ≤ 0.001) confirm the relationships. This measure offers conceptual clarity and measurement consistency for developing the components and targets for future social isolation intervention research. [Res Gerontol Nurs. 2017; 10(6):277-287.].

A longitudinal secondary analysis of 2 years of data from the National Health and Aging Trends Study was undertaken to determine the extent to which social isolation predicts falls in older adults. Social isolation during Year 1 (baseline) was operationalized as a multiple-indicator measure based on Social Network Index participation domains. Falling during the previous year was self-reported using Year 2 data. Logistic regression models revealed social isolation significantly predicted falls (odds ratio [OR] = 1.11; 95% confidence interval [CI] [1.05, 1.17]). The relationship remained significant after adjusting for age, gender, and education (OR = 1.08; 95% CI [1.02, 1.14]). The relationship weakened after adjusting for self-reported general health, depression risk, and worry about falling (OR = 1.02; 95% CI [0.96, 1.08]). Adjusting for Short Physical Performance Battery (SPPB), assistive mobility device, and activities of daily living further weakened the relationship (OR = 0.99; 95% CI [0.94, 1.04]). SPPB demonstrated the strongest correlation with social isolation (r = -0.42; p < 0.01). Fall prevention intervention studies specifically targeting social isolation may incorporate physical performance as a shorter-term and cost-effective proxy outcome for falls. [Res Gerontol Nurs. 2018; 11(2):61-70.].

Social isolation is associated with adverse health outcomes in the general older adult population, but little is known about indicators of social isolation in family caregiver populations. This cross‐sectional study examined the prevalence of social isolation in the 2015 National Survey of Caregiving. Using the Convoy Model of social relations, a life‐course social support framework, we also examined associations between social isolation and caregiver self‐reported health. Using multiple ordinal logistic regression models, we examined social isolation – operationalised with a five‐item summative measure and, alternatively, with each social isolation item – as a predictor of self‐reported general health status. On the dichotomised summative measure, 24.74% (n = 2,175) were more isolated. Younger caregivers were more isolated (M = 56.77 years, SE = 0.76) compared with those who were not (M = 60.86 years, SE = 0.41). Self‐reported general health was as follows: 4.93% poor; 15.67% fair; 25.62% good; 34.81% very good and 18.97% excellent. Less social isolation was associated with higher odds of better self‐reported health (Adjusted odds ratio [AOR] = 1.19; CI = 1.05–1.35). Of the individual social isolation indicators, only a lack of community participation was associated with higher odds of worse self‐reported health (AOR = 1.57; CI = 1.25–1.97). Social isolation and particularly community participation were associated with caregiver health status. It may be necessary for healthcare providers to consider these factors in caregiver health assessments. Future research is recommended to understand the consequences of various social isolation indicators in diverse samples including younger caregivers.