Loneliness has social and health implications. The aim of this article is to evaluate the association of loneliness with all-cause mortality. Pubmed, PsycINFO, CINAHL and Scopus databases were searched through June 2016 for published articles that measured loneliness and mortality. The main characteristics and the effect size values of each article were extracted. Moreover, an evaluation of the quality of the articles included was also carried out. A meta-analysis was performed firstly with all the included articles and secondly separating by gender, using a random effects model. A total of 35 articles involving 77220 participants were included in the systematic review. Loneliness is a risk factor for all-cause mortality [pooled HR = 1.22, 95% CI = (1.10, 1.35), p < 0.001] for both genders together, and for women [pooled HR = 1.26, 95% CI = (1.07, 1.48); p = 0.005] and men [pooled HR = 1.44; 95% CI = (1.19, 1.76); p < 0.001] separately. Loneliness shows a harmful effect for all-cause mortality and this effect is slightly stronger in men than in women. Moreover, the impact of loneliness was independent from the quality evaluation of each article and the effect of depression.

Objective: The aims of the study were to assess whether subjective well-being is a protective factor for mortality in the general population and to analyze the differential impact of evaluative, experienced, and eudaimonic well-being.Methods: Systematic review of articles in the PsycINFO, Web of Science, and PubMed databases. Data on the studies' characteristics, quality, and the effects of variables were extracted. A meta-analysis was conducted on the studies included in the systematic review.Results: A total of 62 articles that investigated mortality in general populations, involving 1,259,949 participants, were found, and added to those considered in a previously published review (n= 14). The meta-analysis showed that subjective well-being was a protective factor for mortality (pooled hazard ratio = 0.920; 95% confidence interval = 0.905–0.934). Although the impact of subjective well-being on survival was significant in both men and women, it was slightly more protective in men. The three aspects of subjective well-being were significant protective factors for mortality. The high level of heterogeneity and the evidences of publication bias may reduce the generalizability of these findings.Conclusions: Our results suggest that subjective well-being is associated with a decreased risk of mortality. Longitudinal studies examining changing levels of well-being and their relationship to longevity would be required to establish a cause–effect relationship. Establishing such a causal relationship would strengthen the case for policy interventions to improve the population subjective well-being to produce longevity gains combined with optimizing quality of life.

Background: The aim of this study was to evaluate the factors associated with low skeletal muscle mass (SMM), sarcopenia, and sarcopenic obesity using nationally representative samples of people aged ≥65 years from diverse geographical regions of the world.Methods: Data were available for 18 363 people aged ≥65 years who participated in the Collaborative Research on Ageing in Europe survey conducted in Finland, Poland, and Spain, and the World Health Organization Study on global AGEing and adult health survey conducted in China, Ghana, India, Mexico, Russia, and South Africa, between 2007 and 2012. A skeletal muscle mass index (SMI) was created to reflect SMM. SMM, SMI, and percent body fat (%BF) were calculated with specific indirect population formulas. These estimates were based on age, sex, weight, height, and race. Sarcopenia and sarcopenic obesity were defined with specific cut‐offs.Results: The prevalence of sarcopenia ranged from 12.6% (Poland) to 17.5% (India), and that of sarcopenic obesity ranged from 1.3% (India) to 11.0% (Spain). Higher %BF was associated with lower SMM in all countries, and with sarcopenia in five countries (p < 0.001). Compared to high levels of physical activity, low levels were related with higher odds for sarcopenia [OR 1.36 (95%CI 1.11–1.67)] and sarcopenic obesity [OR 1.80 (95%CI 1.23–2.64)] in the overall sample. Also, a dose‐dependent association between higher numbers of chronic diseases and sarcopenic obesity was observed.Conclusions: Physical activity and body composition changes such as high %BF are key factors for the prevention of sarcopenia syndrome.