BackgroundFrailty is a geriatric syndrome closely linked to a variety of adverse health outcomes. Thus, it is important to identify factors associated with the development of frailty. It was the aim of this study to examine, if, and to what extent partner loss, a highly stressful life event, affects frailty trajectories of community dwelling adults aged 50 or older.MethodsUsing six waves of panel data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we investigated the effect of partner loss on frailty trajectories estimating growth curve models. Our sample included 183 502 observations of 83 494 community-dwelling individuals aged 50 or older from 21 European countries collected between 2004 and 2017. Frailty was measured using the validated sex-specific SHARE-Frailty-Instrument including muscular weakness, unintended weight loss, decrease in walking capacity, low physical activity and exhaustion.ResultsOur sample contained 79 874 participants who lived in a partnership during their entire observational period and 3620 participants who lost their partner during their observational period. Both men (β=0.184 (95% CI: −0.017 to 0.386), p=0.073) and women (β=0.237 (95% CI: 0.106 to 0.369), p<0.001) showed initial effects of partner loss on frailty, but while only women gradually recovered over time (β=−0.023 (95% CI: −0.039 to −0.008), p=0.002), among men, the effect of partner loss persisted (β<0.001 (95% CI: −0.029 to 0.029), p=0.998).ConclusionThis study revealed that partner loss is followed by elevated frailty. However, while women’s frailty tended to recover from partner loss over time, men’s frailty remained elevated. Notable individual differences in the response of frailty trajectories to partner loss suggest the existence of effect modifiers.
Background Frailty is a geriatric syndrome characterised by sarcopenia, malnutrition, and chronic inflammation that leads to adverse health outcomes including dependency, low quality of life, and higher risk for morbidity and mortality. It was the aim of this study to examine the relationship between frailty status and risk of all-cause and cause-specific mortality. Methods The study is based on data from the Survey on Health, Aging and Retirement in Europe (SHARE) including 11 European countries with an 11-year follow up. 24,634 participants with a mean age of 64.2 (9.8) 53.6% female, were analysed. Frailty status was calculated using the SHARE- Frailty Instrument, categorizing the participants as robust, pre-frail, and frail. Cox Proportional Hazard models were used to estimate the risk of all-cause and cause-specific (stroke, heart attack, other cardiovascular disease, cancer, respiratory illness, infectious, digestive and other) mortality in frail and pre-frail subjects compared to robust persons. Results 14.7% and 6.9% were found to be pre-frail or frail at the baseline. During the follow-up, we observed both pre-frailty and frailty being associated with a higher risk of all-cause and cause-specific mortality in the unadjusted model. After adjusting for sex, age, education level, body mass index, smoking, alcohol consumption and a number of comorbidities, frailty was associated with a higher risk of all-cause mortality [HR 1.56 (95% CI 1.37-1.78)], and mortality due to other cardiovascular diseases [HR 1.88 (95% CI 1.27-2.76)], cancer [HR 1.47 (95% CI 1.14-1.90)], and respiratory disease HR [1.82 (95% CI 1.10-3.01)]. Furthermore, pre-frailty was associated with a higher risk of all-cause mortality [HR 1.27 (95% CI 1.14-1.42)] and other cardiovascular disease mortality [HR 1.70 (95% CI 1.22-2.35)]. Conclusions Our study showed that baseline pre-frailty and frailty are associated with increased all-cause and cause-specific mortality over an 11-year follow up. Key messages Frailty but also pre-frailty leads to a higher mortality, even when adjusted for morbidity, lifestyle factors, and socio-demographic factors. More effort is needed to prevent, detect, and treat frailty and pre-frailty, both, on individual and on community level.
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