The association between loneliness and frailty among community-dwelling older adults in five European countries: a longitudinal study.

BACKGROUND: Loneliness is described as the subjective experience of unfulfilled personal and social needs, with emotional and social domains. Frailty is a state of vulnerability to stressors, which is often characterised by impairment in the physical, psychological and/or social domain. OBJECTIVE: This study aims to examine the bidirectional association between loneliness and frailty across the different domains. METHODS: The study included 1735 older adults from the Urban Health Centres Europe project. Loneliness was assessed using the six-item De Jong Gierveld Loneliness Scale. Frailty was assessed by the Tilburg Frailty Indicator. Multivariate linear regression and cross-lagged panel models were used to explore the associations between the social and emotional loneliness dimensions and overall, physical, psychological and social frailty. RESULTS: A bidirectional association existed between overall loneliness and overall frailty (loneliness to frailty: ß = 0.09, 95% CI: 0.03, 0.15; frailty to loneliness: ß = 0.05, 95% CI: 0.004, 0.10). Higher levels of overall loneliness at baseline were associated with higher levels of psychological frailty at follow-up (ß = 0.05, 95% CI: 0.00, 0.10). The reverse association was not significant. A bidirectional association existed between overall loneliness and social frailty (loneliness to social frailty: ß = 0.05, 95% CI: 0.01, 0.10; social frailty to loneliness: ß = 0.05, 95% CI: 0.00, 0.09). CONCLUSION: This study confirms the importance of addressing loneliness among older adults. Interventions that increase social support, exercise engagement and promote healthy behaviours may be effective in reducing the risk of frailty among older adults and simultaneously preventing loneliness.

Factors associated with health-related quality of life among community-dwelling older adults: the APPCARE study.

This study aimed to identify the factors associated with health-related quality of life (HRQOL) among community-dwelling older adults. Physical and mental HRQOL were measured by the 12-item Short Form Health Survey (SF-12) at baseline and follow-up. Linear regression models were used to evaluate associations between socio-demographic, health, and lifestyle factors and HRQOL. The sample included 661 participants (mean age = 77.4 years). Frailty was negatively associated with physical HRQOL (B = - 5.56; P < 0.001) and mental HRQOL (B = - 6.65; P < 0.001). Participants with a higher score on activities of daily living (ADL) limitations had lower physical HRQOL (B = - 0.63; P < 0.001) and mental HRQOL (B = - 0.18; P = 0.001). Female sex (B = - 2.38; P < 0.001), multi-morbidity (B = - 2.59; P = 0.001), and a high risk of medication-related problems (B = - 2.84; P < 0.001) were associated with lower physical HRQOL, and loneliness (B = - 3.64; P < 0.001) with lower mental HRQOL. In contrast, higher age (B = 2.07; P = 0.011) and living alone (B = 3.43; P < 0.001) were associated with better mental HRQOL in the multivariate models. Future interventions could be tailored to subpopulations with relatively poor self-reported HRQOL, such as frail or lonely older adults to improve their HRQOL.

Monitoring the Well-being of Older People by Energy Usage Patterns: Systematic Review of the Literature and Evidence Synthesis.

BACKGROUND: Due to the aging population, there is a need for monitoring well-being and safety while living independently. A low-intrusive monitoring system is based on a person's use of energy or water. OBJECTIVE: The study's objective was to provide a systematic overview of studies that monitor the health and well-being of older people using energy (eg, electricity and gas) and water usage data and study the outcomes on health and well-being. METHODS: CENTRAL, Embase, MEDLINE (Ovid), Scopus, Web of Science, and Google Scholar were searched systematically from inception until November 8, 2021. The inclusion criteria were that the study had to be published in English, have full-text availability, target independent-living people aged 60 years and older from the general population, have an observational design, and assess the outcomes of a monitoring system based on energy (ie, electricity, gas, or water) usage on well-being and safety. The quality of the studies was assessed by the QualSyst systematic review tool. RESULTS: The search strategy identified 2920 articles. The majority of studies focused on the technical algorithms underlying energy usage data and related sensors. One study was included in this review. This study reported that the smart energy meter data monitoring system was considered unobtrusive and was well accepted by the older people and professionals involved. Energy usage in a household acted as a unique signature and therefore provided useful insight into well-being and safety. This study lacked statistical power due to the small number of participants and the low number of observed events. In addition, the quality of the study was rated as low. CONCLUSIONS: This review identified only 1 study that evaluated the impact of an energy usage monitoring system on the well-being and safety of older people. The absence of reliable evidence impedes any definitive guidance or recommendations for practice. Because this emerging field has not yet been studied thoroughly, many questions remain open for further research. Future studies should focus on the further development of a monitoring system and the evaluation of the implementation and outcomes of these systems. TRIAL REGISTRATION: PROSPERO CRD42022245713; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=245713.

The effect of a community-based group intervention on chronic disease self-management in a vulnerable population.

Introduction: Chronic non-communicable diseases (NCDs) are predominantly related to modifiable health behaviors and account for 74% of global deaths at present. Behavior modification through self-management is a strategy to prevent NCDs. Chronic Disease Self-Management Programs (CDSMPs) have demonstrated improvements in health behaviors, health status, and use of healthcare. Objective: We evaluated the effects of a 6-week CDSMP on self-efficacy, health behaviors, mental health, health-related quality of life (HR-QoL), and health responsibilities among vulnerable populations with chronic disease in Europe. Methods: A prospective cohort study with a 6-month pre-post single-group design was conducted in five European countries. The intervention targeted adults with chronic conditions and low socioeconomic status, as well as their caregivers. The intervention was a 6-week community-based CDSMP in a group setting. Outcomes were measured per self-report questionnaire at baseline and 6-month follow-up: self-efficacy, health behaviors, mental health, HR-QoL, and health responsibilities. Results: Of 1,844 participants, 1,248 (67.7%) completed follow-up and attended ≥4 sessions. For the chronic condition group, the following outcome measures at follow-up significantly improved compared with baseline (all P < 0.002): self-efficacy (SEMCD-6 6.7 vs. 6.4), mental health (PHQ-8 6.3 vs. 7.0), HR-QoL (SF-12 PCS 42.3 vs. 40.2, SF-12 MCS 42.8 vs. 41.4), health utility (EQ-5D-5L 0.88 vs. 0.86), self-rated health (EQ-5D-5L 67.2 vs. 63.9), communication with healthcare providers (2.28 vs. 2.11), understanding information (3.10 vs. 3.02), number of doctor visits (3.61 vs. 4.97), accident and emergency department visits (0.25 vs. 0.48), total nights in a hospital (0.65 vs. 1.13), and perceived medical errors (19.6 vs. 28.7%). No significant changes were detected in dietary habits, physical activity, substance use, and sleep and fatigue. For caregivers without a chronic condition, only doctor visits significantly decreased (1.54 vs. 2.25, P < 0.001). Discussion: This CDSMP was associated with improvement in self-efficacy, depression, HR-QoL, and health responsibilities over 6 months in a diverse European population with a chronic condition. However, additional interventions targeting lifestyle risk factors are needed to improve health outcomes.

Evaluation of an Intervention to Promote Self-Management Regarding Cardiovascular Disease: The Social Engagement Framework for Addressing the Chronic-Disease-Challenge (SEFAC).

BACKGROUND: Cardiovascular diseases (CVD) are predominantly lifestyle related. Mental health issues also influence CVD progression and quality of life. Self-management of lifestyle behaviors and mental well-being may play a significant role in reducing the CVD burden. Previous studies have shown that mindfulness practices are associated with psychological well-being, but their effects on CVD self-management are mainly unknown. METHODS: The study had a before-after design and included adults over 50 years with CVD and/or one or more risk factors from three European countries. Follow-up was six months. The intervention was a 7-week mindfulness-based intervention (MBI) in a group setting focusing on chronic disease self-management. Outcomes were measured with validated self-report questionnaires at baseline and follow-up: self-efficacy, physical activity, nutrition, smoking, alcohol use, sleep and fatigue, social support, stress, depression, medication adherence, and self-rated health. RESULTS: Among 352 participants, 324 (92%) attended ≥4 of the 7 group sessions and completed follow-up. During follow-up, self-efficacy, stress, social support, depressive symptoms, and self-rated health significantly improved. No significant changes were detected for other outcomes. CONCLUSIONS: A 7-week MBI focusing on chronic disease self-management was conducive to improved self-efficacy, emotional well-being, social support, and self-rated overall health during six months. These findings support the use of MBIs for improving self-management in cardiovascular care. ISRCTN registry-number ISRCTN11248135.