Loneliness In Older Adults Research Articles

Relationship between Social Determinants of Health and Loneliness during COVID-19 Pandemic

Background: Older adults are most vulnerable to social isolation and loneliness during the COVID-19 pandemic compared to other populations. Risk factors for loneliness include old age, rural living, number of medical comorbidities, and poor social networks. The objectives of this study were to examine the prevalence of loneliness in older adults during COVID-19 and determine the correlation between social determinants of health and loneliness. Methods: A cross-sectional study was conducted in community dwelling older Veterans (N=132). Demographic data were collected along with variables related to social determinants of health. Loneliness data were collected with the 3-item loneliness questionnaire, and social network was assessed using the 6-item Lubben social network scale. Results: Demographic data included: mean age 73.3 (±7.5) years, 93.2% male, 53.5% rural, 84.1% Caucasian, and 13.6% African American. The majority of the participants reported loneliness (65.6%). Mean Lubben social network score was 14.6 (±6.6). There was a strong negative correlation between loneliness and social network (p<0.0001, r=-0.57; 95% CI: -0.67, -0.44). The prevalence of loneliness was significantly greater in those living alone compared to those not living alone (p=0.017; 83.9% vs. 60.6%) and those lacking internet access compared to those with internet access (p=0.025; 86.4% vs. 61.5%). Conclusion: Loneliness was found to be highly prevalent in an older cohort during the COVID pandemic. Routine inquiry about loneliness is important. Social determinants of health are likely correlated with the presence of loneliness in older adults and could be greatly impacted by policy decisions made to control community disease transmission.

Physical and Mental Health, Technology Use, and Loneliness in Older Adults During the COVID-19 Pandemic

Social isolation is a negative outcome of COVID-19. This study examined patterns of physical and mental health and technology use in older adults, and loneliness during the COVID-19 pandemic. We recruited 115 community-dwelling older adults 65 and older (72% female) from the Pennsylvania region via Research Match (N=84) or from a retirement community (N=31). A significant association between loneliness and worsening of health during the pandemic was observed, Fisher’s Exact Test 6.90, p=.03. Those who were lonely demonstrated significantly lower Mental Component Summary Scores (M = 42.75, SD = 11.55) compared to those who were not lonely (M= 55.34, SD= 7.66), t(49) = 5.84, p <.01. Those reporting loneliness were more likely to use a new electronic device to communicate with family during COVID-19 pandemic, X2, (1, N= 107) = 6.24, p =.01. These findings suggest the important role of technology to decrease loneliness in older adults during a pandemic.

How Is Daily Social Interaction Related to Loneliness in Older Adults? The Roles of Trait Loneliness and Personality.

Loneliness is prevalent among older adults and is associated with increased risks for morbidity and mortality. This study examined what types of social interactions could reduce loneliness for older adults and who would benefit the most from social interactions. We used data from 312 community-dwelling older adults (aged 70 to 90 years) who completed ecological momentary assessments (EMA) five times a day for 16 consecutive days using smartphones (n=20,507 reports), as part of the ongoing Einstein Aging Study (EAS). At each EMA, participants reported their social interactions in the past 3 to 4 hours and their current feelings of loneliness. Results from multilevel models revealed that older adults reported lower levels of loneliness on occasions when they had pleasant social interactions (p<.000) or interactions with family (p=.001) in the past few hours, compared with occasions when they had no social interaction. In contrast, they reported higher levels of loneliness if they had unpleasant social interactions in the past few hours (p=.004). These within-person (WP) effects of social interactions on momentary loneliness were significantly moderated by participants’ trait levels of loneliness and neuroticism; and were significantly stronger among those with higher (vs. lower) trait loneliness (ps <.001) or neuroticism (ps <.042). Other personality traits (Extraversion, Openness, Conscientiousness, Agreeableness) did not moderate any WP association. These results highlight the importance of having pleasant social interactions and frequent interactions with family for reducing older adults’ loneliness in daily life, especially for those higher in trait loneliness and neuroticism.

Limitations in Physical Activities and Loneliness: The Role of Guilt for Perceiving Oneself as a Burden

Loneliness is a prevalent problem associated with negative health consequences for older adults, such as greater cognitive decline. Limitations to perform physical activities have been associated with greater loneliness in older adults. This association could be moderated by maladaptive social cognition or feelings, such as guilt associated with perceiving oneself as a burden. The objective of this study was to analyze the moderating effect of guilt associated with perceiving oneself as a burden in the relationship between limitations in physical activities and loneliness. Participants were 195 community-dwelling people 60 years or older not showing explicit cognitive or functional limitations that prevent activities of daily life, but who may present limitations in some physical activities (e.g., walking a kilometer or more). A linear regression analysis was conducted for testing the interaction between limitations in physical activities and guilt for perceiving oneself as a burden in loneliness, controlling for gender and age. The interaction between limitations in physical activities and guilt for perceiving oneself as a burden was the only significant predictor of loneliness and the model explained 18.30% of the variance. Limitations in physical activities influenced loneliness when people have high levels of guilt for perceiving oneself as a burden. This study suggests that guilt for perceiving oneself as a burden may play an important role in the association between limitations in some physical activities and loneliness.

Effects of Self-Perceptions of Aging on Social Disconnectedness and Loneliness in Older Adults

Research shows that self-perceptions of aging (SPA) predict physical, mental, cognitive, and emotional well-being in older adults. Few studies have examined SPA’s effects on social well-being. Using data from the 2014–2018 Health and Retirement Study, we examined SPA’s effects on older adults’ social connectedness and loneliness (age 65+, N = 3,808). SPA was measured by eight items. Social connectedness was operationalized by network size, social contact, and social participation. The UCLA Loneliness Scale assessed loneliness. Linear regression results show that more positive SPA is correlated with increased social connectedness (b = 0.05 SE = 0.01 p = 0.0003) and decreased loneliness (b = -0.09 SE = 0.02 p < 0.0001) in four years, controlling for sociodemographic and health characteristics. Further, loneliness is a mediator between SPA and social connectedness. Findings suggest that older adults with negative SPA are at risk of both objective and subjective social isolation.

Social Isolation and Accelerated Tooth Loss Among Chinese Older Adults

Social isolation and loneliness in older adults are major global public health concerns. Tooth loss is also a common problem in this population. This study examined the effects of social isolation and loneliness on the number of remaining teeth and the rate of tooth loss among Chinese older adults. We included 4,268 older adults age 65+ from three waves of the Chinese Longitudinal Healthy Longevity Survey (2011/2012, 2014, 2018). Linear mixed-effect models showed higher levels of social isolation were associated with fewer remaining teeth (β = -1.59, P < 0.05) and accelerated tooth loss (β=-0.10, P<0.05) controlled for socio-demographic, lifestyle, oral hygiene behavior, and health status. Loneliness was neither associated with the number of remaining teeth (β=0.64, P>0.05) nor with the rate of tooth loss (β=-0.09, P>0.05) before and after controlling for covariates. These findings expand our knowledge regarding the correlation between social connection and tooth loss in non-Western populations.

Association between Loneliness and Diseases Self-Management in Older Adults: Systematic Review

Purpose: Older adults with chronic diseases are more at risk for loneliness, and loneliness has a negative impact on health behaviors, which are key to managing chronic diseases. However, little is known about the association between loneliness and self-management behaviors in older adults with chronic diseases. As societies worldwide experience the growth of aging populations who are at higher risk of having chronic diseases as they age, clinicians and researchers should assess and address loneliness of older adults with chronic diseases. Methods: This systematic review synthesizes research found in PubMed, MEDLINE, PsychINFO, CINAHL, and SocINDEX. Findings: fourteen studies were conducted in four countries and represented n= 128,610. Loneliness was measured by three different instruments. Reports of loneliness were frequent and ranged from 7.7% (in a report of severe loneliness) to 43.2% (moderate loneliness) of older adults. Older adults who experienced loneliness were less likely to be physically active, eat a healthy diet, or cope in positive ways and more likely to be female and seek healthcare. Conclusions: This systematic review found that loneliness was moderately prevalent, and that loneliness was associated with negative disease self-management behaviors in older adults with chronic diseases. Gaps in the research include a need for studies guided by theoretical pathways, using a consistent, theoretically-based measure of loneliness, and conducted on among people with specific chronic diseases.

Preferred Communication Channels Among Older Adults During COVID-19

Social distancing measures put in place during the COVID-19 pandemic limited in-person interactions and may have increased the risk for social isolation and loneliness in older adults. Purpose: The purpose of this study was to understand the communication channels used by older adults (age 50+) during the COVID-19 pandemic to mitigate social isolation and loneliness. Methods: Older adults (n=22) who were selected from a longitudinal study, ‘Aging in the time of COVID,’ and who had self-reported they successfully avoided loneliness, participated in a semi-structured online interview. Participants were asked to describe the communication techniques and efforts they used to stay connected to family and friends during the pandemic. All interviews were recorded and transcribed verbatim. A thematic analysis approach was used to identify common approaches. Results: Participants were primarily female and white (100%) with a mean age of 64.7 years. Preliminary findings (n=5) suggest older adults relied heavily on technology to facilitate communication with family and friends including texting, phone calls, email, video calls or conferences (e.g., Zoom), WhatsApp and social media, primarily Facebook. In-person communication strategies, including one-on-one and small group gatherings following social distancing guidelines, were preferred, but used less often than technology-based approaches. Living close to friends and family, and previous experience with technology were facilitators. Competing work and family demands, distance, and technology challenges limited communication. Conclusions: While older adults may adopt technology at a lower pace, they relied on digital communication technology to maintain social connections during COVID.

The Length of Membership and Loneliness of Older Adults in Village Programs

Villages are consumer-driven programs supporting older adults to age in their own homes while staying socially connected through service referrals, coordination, and the organization of social activities. Although previous studies demonstrated an increase of perceived social support among Village members over time, few studies tested how Village membership influence older adults’ loneliness. To address this gap, a total of 112 members from four Village programs in a Midwest Metropolitan area completed a cross-sectional pilot survey on their social well-being between January and March 2020. The age of participants ranged from 51 to 92 years old (M=72.30, SD=8.38), over 74% of participants were female and over 88% of participants identified as White/Caucasian. The relationship between the 20-item UCLA loneliness scale and length of Village membership was roughly linear according to the Loess Curve. The scores of the UCLA scale range from 20-80 and higher scores indicate higher loneliness. The Cronbach’s alpha of the UCLA loneliness scale was 0.86 in the sample, indicating good internal consistency. The average loneliness score of the sample was 38.45, resembling the average of community-living older adults. Regression results suggested that a one-year increase in village membership was associated with approximately two points reduction in loneliness, holding all else constant. Being female, a racial/ethnic minority, retired, a driver, and having higher frequencies of socializing with friends and neighbors were associated with lower levels of loneliness among Village members. This pilot study provides initial support for the social impact of Villages and informs future larger sample longitudinal studies.

Preparing for the New Normal: Chronicling the Impact of COVID-19 on Older Adults and Providers

COVID-19 and social distancing heralded an unprecedented change in the way older adults and health care providers live, work, socialize and manage their health. Early “calls-to-action” included the call for researchers to chronicle the impact of the COVID-19 pandemic on care of older adults to inform models of care and best practices in the new normal. This symposium explores the impact of COVID-19 on the health of older adults across the care continuum and healthcare delivery augmented by technology. The perspectives of older adults living in the community and providers who care for this population are highlighted. Additionally, there is a focus on the most vulnerable, those living in skilled care facilities and continuing care retirement communities. Fisher analyzes the key themes in 37 COVID-19 video communiques over 11 months at a continuing care retirement community. Sefcik explores coping strategies including outdoor activities among community-dwelling older adults. DiMaria-Ghalili examined patterns of physical and mental health, technology usage and loneliness in older adults, including those living in the community and a continuing care retirement community. Using longitudinal data and COVID-19 supplemental survey data from the National Health and Aging Trends Study, Huh-Yoo discusses disparities in online patient-provider communication and implications for the Post-COVID era. Coates discusses the facilitators and barriers perceived by interdisciplinary providers deploying telehealth during the COVID-19 pandemic and implications for healthcare delivery in older adults. The symposium will conclude with a discussion by Dr. Sefcik on the implications for research, practice and policy in the post COVID-19 era.

Automatic Assessment of Loneliness in Older Adults Using Speech Analysis on Responses to Daily Life Questions.

Loneliness is a perceived state of social and emotional isolation that has been associated with a wide range of adverse health effects in older adults. Automatically assessing loneliness by passively monitoring daily behaviors could potentially contribute to early detection and intervention for mitigating loneliness. Speech data has been successfully used for inferring changes in emotional states and mental health conditions, but its association with loneliness in older adults remains unexplored. In this study, we developed a tablet-based application and collected speech responses of 57 older adults to daily life questions regarding, for example, one's feelings and future travel plans. From audio data of these speech responses, we automatically extracted speech features characterizing acoustic, prosodic, and linguistic aspects, and investigated their associations with self-rated scores of the UCLA Loneliness Scale. Consequently, we found that with increasing loneliness scores, speech responses tended to have less inflections, longer pauses, reduced second formant frequencies, reduced variances of the speech spectrum, more filler words, and fewer positive words. The cross-validation results showed that regression and binary-classification models using speech features could estimate loneliness scores with an R2 of 0.57 and detect individuals with high loneliness scores with 95.6% accuracy, respectively. Our study provides the first empirical results suggesting the possibility of using speech data that can be collected in everyday life for the automatic assessments of loneliness in older adults, which could help develop monitoring technologies for early detection and intervention for mitigating loneliness.

The Impact of Robotic Companion Pets on Depression and Loneliness for Older Adults with Dementia During the COVID-19 Pandemic.

Purpose: Differences in depression and loneliness, during the COVID-19 pandemic, for older adults with mild to moderate dementia living in residential care after interacting with a robotic companion dog or cat were explored. Experiences of family members and professional caregivers were also examined. Design: This study used a mixed research design with pre- and post-questionnaires on depression and loneliness. Method: Quantitative data exploring the impact of companion pets on depression and loneliness were collected from participants pre-intervention and at 3- and 6-week intervals. Qualitative data were collected during the 6-week study period, permitting researchers to explore the impact of robotic companion pets on participants, family members, and professional caregivers. Findings: Results indicated depression (χ2F(2) = 21.29, p < 0.001) and loneliness (χ2F(2) = 21.11, p < 0.001) improved. Moreover, participants were engaged with their companion pet, providing meaningful, activity and positive experiences. Conclusions: Robotic companion pet therapy, a holistic, nonpharmacologic animal-assisted therapy (AAT), changed the AAT landscape at the study site and provided an alternative option to live pet therapy during COVID-19. Participant interactions with their robotic companion pets enhanced their well-being and quality of life, especially during stringent COVID-19 restrictions and social isolation.

Implications of COVID-19 on the Loneliness of Older Adults in Residential Care Homes.

With little understandings on the loneliness of older adults in residential care homes structured by social contact restrictions, the provision of person-centered care was jeopardized during the pandemic. This study employed hermeneutic phenomenology to explore the lived experiences of loneliness of this population during a 5-month period of the COVID-19 pandemic. We conducted unstructured face-to-face interviews with 15 older adults living in seven residential care homes. Thematic analysis was guided by Van Manen's approach. The essence of loneliness was uncovered as "A deprived sense of self-significance in a familiar world contributes to older adult's disconnection with prior commitments." A sub-theme "From collapse to dissolution of self-understanding" revealed how COVID-19 structured their loneliness. Another sub-theme, "Restoring meanings by establishing connections with entities" illustrated the ways to mitigate loneliness during the pandemic. Activities fostering alternative self-interpretation are important to protect older adults against loneliness.

Loneliness, social connectedness, and resilience during COVID pandemic among those with and without cognitive impairment

AbstractBackgroundLoneliness in older adults is multifactorial. Social connectedness and resilience are protective against loneliness and have been adversely affected by the COVID pandemic. The objective was to measure loneliness in older adults with and without cognitive impairment and to compare the interaction of loneliness with resilience and social connectedness in these subgroups.MethodsA cross‐sectional study was conducted in community dwelling older adults (N=254) (November 2020‐ongoing). Demographic data were collected along with variables related to social determinants of health. Loneliness was assessed with the 3‐item loneliness questionnaire, resilience with the Brief Resilience Coping Scale (BRCS) and social connectedness using the 6‐item Lubben social network scale.ResultsMean age was 74.6 (±8.0) years, 93.7% male, 50.8% rural, 79.5% Caucasian, and 17.3% African American. Mean education was 14 years (±2.4). The majority of the participants reported loneliness (57.5%). Mean Lubben social network score was 14.7 (±7.1) and mean resilience score was 15.0 (±4.1). Loneliness was higher in those living alone compared to those living with someone (5.6 vs. 4.6, p&lt;0.001, 95% CI: ‐1.6, ‐0.48). There were strong negative correlations between social connectedness and loneliness (p&lt;0.001, r=‐0.43) and resilience and loneliness (p=0.001, r=‐0.19). Compared to those without cognitive impairment (N=151), participants with cognitive impairment (N=101) had a significantly lower mean social network score (p=0.007, 95% CI: 0.69, 4.23). Compared to those without cognitive impairment, participants with cognitive impairment had lower mean resilience score, however the difference was not statistically significant (p=0.080, 95% CI: ‐0.11, 1.97). T‐MoCA and FAQ mean scores for the cognitively impaired older adults were 15.2 (±4.6) and 8.0 (±9.3), respectively. The strong negative correlation between resilience and loneliness scores persisted in the subgroup with cognitive impairment (p=0.028, r=‐0.22).ConclusionsLoneliness was commonly reported among older adults during the COVID pandemic. Loneliness was negatively correlated with social connectedness and resilience. Compared to cognitively intact counterparts, those with cognitive impairment reported significantly lower social connectedness. This finding indicates that those with cognitive impairment may need more attention during natural disasters that foster physical separation.

A Technology Training Program to Alleviate Social Isolation and Loneliness Among Homebound Older Adults: A Community Case Study.

Despite substantial evidence of the negative health consequences of social isolation and loneliness and the outsized impact on older adults, evidence on which interventions are most effective in alleviating social isolation and loneliness is inconclusive. Further complicating the translation of evidence into practice is the lack of studies assessing implementation and scalability considerations for socialization programs delivered by community-based organizations (CBOs). Our primary objective was to describe the implementation barriers, facilitators, and lessons learned from an information and communication technology (ICT) training program aimed at reducing social isolation and loneliness for homebound older adults in a home-delivered meals program. Participants received in-home, one-on-one ICT training lessons delivered by volunteers over a 14-week period with the goal of increasing social technology use. To assess implementation facilitators and barriers, 23 interviews were conducted with program staff (n = 2), volunteers (n = 3), and participants (n = 18). Transcripts were analyzed using thematic analysis. Aspects that facilitated implementation included the organization's existing relationship with clientele, an established infrastructure to deliver community-based interventions, alignment of intervention goals with broader organizational aims, and funding to support dedicated program staff. Challenges to implementation included significant program staff time and resources, coordinating data sharing efforts across multiple project partners, participant and volunteer recruitment, and interruptions due to COVID-19. Implications of these facilitators and barriers for scalability of community-based ICT training interventions for older adults are described. Lessons learned include identifying successful participant and volunteer recruitment strategies based on organizational capacity and existing recruitment avenues; using a targeted approach to identify potential participants; incorporating flexibility into intervention design when working with the homebound older adult population; and monitoring the participant-volunteer relationship through volunteer-completed reports to mitigate issues. Findings from this formative evaluation provide insight on strategies CBOs can employ to overcome challenges associated with implementing technology training programs to reduce social isolation and loneliness for older adults, and thus improve overall well-being for homebound older adults. Recommendations can be integrated into program design to facilitate implementation of ICT programs in the community setting.

Do Words Matter? Detecting Social Isolation and Loneliness in Older Adults Using Natural Language Processing.

Introduction: Social isolation and loneliness (SI/L) are growing problems with serious health implications for older adults, especially in light of the COVID-19 pandemic. We examined transcripts from semi-structured interviews with 97 older adults (mean age 83 years) to identify linguistic features of SI/L.Methods: Natural Language Processing (NLP) methods were used to identify relevant interview segments (responses to specific questions), extract the type and number of social contacts and linguistic features such as sentiment, parts-of-speech, and syntactic complexity. We examined: (1) associations of NLP-derived assessments of social relationships and linguistic features with validated self-report assessments of social support and loneliness; and (2) important linguistic features for detecting individuals with higher level of SI/L by using machine learning (ML) models.Results: NLP-derived assessments of social relationships were associated with self-reported assessments of social support and loneliness, though these associations were stronger in women than in men. Usage of first-person plural pronouns was negatively associated with loneliness in women and positively associated with emotional support in men. ML analysis using leave-one-out methodology showed good performance (F1 = 0.73, AUC = 0.75, specificity = 0.76, and sensitivity = 0.69) of the binary classification models in detecting individuals with higher level of SI/L. Comparable performance were also observed when classifying social and emotional support measures. Using ML models, we identified several linguistic features (including use of first-person plural pronouns, sentiment, sentence complexity, and sentence similarity) that most strongly predicted scores on scales for loneliness and social support.Discussion: Linguistic data can provide unique insights into SI/L among older adults beyond scale-based assessments, though there are consistent gender differences. Future research studies that incorporate diverse linguistic features as well as other behavioral data-streams may be better able to capture the complexity of social functioning in older adults and identification of target subpopulations for future interventions. Given the novelty, use of NLP should include prospective consideration of bias, fairness, accountability, and related ethical and social implications.

Social isolation due to COVID-19: impact on loneliness, sedentary behavior, and falls in older adults

Objectives The World Health Organization has recommended social isolation to prevent the transmission of COVID-19. Thus, feelings of loneliness, sedentary behavior, and predisposition to falls have been reported more often due to the adoption of social isolation, especially for older adults. The objective of this study was to compare older adults’ loneliness, sedentary behavior, and occurrence of falls before and during social isolation due to the pandemic as well as to analyze the association of loneliness with sedentary lifestyle and falls in older adults. Method Retrospective analytical study conducted through an online survey with older adults from Brazilian states in social isolation, approved by the Research Ethics Committee (number 32168920.0.0000.0068). Results There was a significant increase in loneliness and sedentary behavior during social isolation (p-value < 0.05 for both), but no increase was observed for falls (p-value = 0.615). There was no correlation between the outcomes, nor was there a correlation between the outcomes and the number of days in social isolation. Conclusion The results of this research show that adoption of social isolation due to the COVID-19 pandemic brought an increase in sedentary behavior and loneliness for older adults but had no effect on the number of falls.

“Otherwise We Would Be like an Island”: A Phenomenological Understanding of Intergenerational Engagement Aimed at Reducing Social Isolation

ABSTRACT This phenomenological study involved individual, unstructured interviews with older adults. Eleven participants were recruited from independent living, assisted living, and community center settings. The study was guided by three overarching research aims: 1) To understand if and how intergenerational engagement helps reduce social isolation and loneliness for older adults 2) to understand how intergenerational experiences may have changed over time, and 3) to identify specific barriers, facilitators, benefits, and best practices of intergenerational engagement among older adults. Results revealed important themes related to increasing age segregation, the potential impacts of internalized ageism, and a need for small group or one-on-one intergenerational opportunities.

Loneliness in older parents: marital transitions, family and social connections, and separate bedrooms for sleep

ObjectivesThis research innovatively analyzed the marital transitions (i.e., divorce and widowhood) of older Taiwanese parents, their sleep problems and spousal specific characteristics (i.e., separate bedrooms for sleep and marital relationships) as well as their social and family connections, all of which were simultaneously reflected in emotional and social domains of loneliness.MethodsData are from 1645 older parents from Northern Taiwan. Loneliness was assessed by a De Jong-Gierveld short scale with emotional and social domains. We conducted multivariate logistic regression to examine the associations of marital transitions and family/social connections regarding sleep problems and psychological well-being with loneliness in social and emotional domains. Besides sleep problems and individual socioeconomic status, we included data on couples’ sleeping arrangements and marital relationships.ResultsSocial loneliness was significantly associated with being divorced (AOR = 1.80, 95% CI 1.13–2.86) and living alone (AOR = 1.50, 95% CI 1.02–2.23). In contrast, strong family cohesion and frequent weekly contact with friends were associated with lower social loneliness. Married parents who slept in separate bedrooms were more likely than bed-sharing couples to feel emotional and social loneliness, despite adjusting for their sleep problems. Furthermore, satisfactory spousal relationships significantly decreased the magnitude of associations in the social domain.DiscussionOur findings support significant associations between loneliness in later life and major marital transitions, family and social connections and sleep problems which differ in social and emotional domains. Independent of relationship satisfaction, separate bedrooms relate to higher risks of emotional loneliness in older adults.

Faith Community Nursing: Identifying and Combating Social Isolation and Loneliness in Older Adults.

The number of older adults worldwide is growing; the incidence of social isolation and loneliness among this population is also increasing. Social isolation and loneliness can have significant physical, mental, and spiritual impacts. Faith community nurses are in an optimal position to identify and intervene to help faith communities reduce the social isolation and loneliness among community-dwelling older adults. Risk factors and tools to identify both circumstances are discussed along with interventions and a case study.