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: β = 0.09, 95% CI: 0.03, 0.15; frailty to loneliness: β = 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 (β = 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: β = 0.05, 95% CI: 0.01, 0.10; social frailty to loneliness: β = 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.

Background: The share of people over 80 years in the European Union is estimated to increase two-and-a-half-fold from 2000 to 2100. A substantial share of older persons experiences fear of falling. This fear is partly associated with a fall in the recent past. Because of the associations between fear of falling, avoiding physical activity, and the potential impact of those on health, an association between fear of falling and low health-related quality of life, is suggested. This study examined the association of fear of falling with physical and mental Health-Related Quality of Life (HRQoL) among community-dwelling older persons in five European countries. Methods: A cross-sectional study was conducted using baseline data of community-dwelling persons of 70 years and older participating in the Urban Health Centers Europe project in five European countries: United Kingdom, Greece, Croatia, the Netherlands and Spain. This study assessed fear of falling with the Short Falls Efficacy Scale-International and HRQoL with the 12-Item Short-Form Health Survey. The association between low, moderate or high fear of falling and HRQoL was examined using adjusted multivariable linear regression models. Results: Data of 2189 persons were analyzed (mean age 79.6 years; 60.6% females). Among the participants, 1096 (50.1%) experienced low fear of falling; 648 (29.6%) moderate fear of falling and 445 (20.3%) high fear of falling. Compared to those who reported low fear of falling in multivariate analysis, participants who reported moderate or high fear of falling experienced lower physical HRQoL (β = -6.10, P < 0.001 and β = -13.15, P < 0.001, respectively). In addition, participants who reported moderate or high fear of falling also experienced lower mental HRQoL than those who reported low fear of falling (β = -2.31, P < 0.001 and β = -8.80, P < 0.001, respectively). Conclusions: This study observed a negative association between fear of falling and physical and mental HRQoL in a population of older European persons. These findings emphasize the relevance for health professionals to assess and address fear of falling. In addition, attention should be given to programs that promote physical activity, reduce fear of falling, and maintain or increase physical strength among older adults; this may contribute to physical and mental HRQoL.

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.

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

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. CLINICALTRIAL PROSPERO CRD42022245713; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=245713