In later life, changing conditions related to health, partnership, and economic status may trigger not only support but also conflict and ambivalence, with the consequent renegotiation of family ties. The aim of this study is to investigate both conflict and emotional support in the family networks of older adults, taking the research beyond the level of intergenerational dyads. We used a subsample of 563 elders (aged 65 years and older) from the Swiss Vivre/Leben/Vivere survey. Multiple correspondence analysis and in‐depth case studies were used to identify the key social conditions that relate to the prevalence of conflicted and supportive dyads in family networks. Findings showed that the balance of conflict and emotional support in older adults' family networks varied according to the composition of their family network as well as their age, health, income, and gender.
L’assistance formelle à domicile est devenue une pratique de plus en plus répandue dans le monde occidental. Tôt ou tard, elle finit par constituer une des conditions du maintien à domicile dans la vieillesse : mais qu’en est-il de l’agency des personnes âgées lorsque, face aux pertes typiques du grand âge, celles-ci doivent faire appel à des services et à des individus étrangers à leur chez-soi ? Les entretiens menés avec des individus de 80 ans et plus vivant dans une région de Suisse montrent que leur rôle à ce sujet, s’il est parfois mis à mal par des contraintes, est loin d’être marginal. Sa compréhension demande une considération du parcours de vie et des ressources de l’individu, ainsi que des contextes dans lesquels il est inséré. Le type de service – aide domestique ou soin personnel, aide publique ou privée – a aussi une influence, de même que leur mode d’organisation et le travail des soignants qui y opèrent.
Social isolation and loneliness have been recognized as problems older people face due to their adverse effects on health and mortality, but very few researchers have analyzed their co-occurrence, which might be particularly prevalent and critical among the very old. In this study, we investigated the prevalence of combinations of social isolation and loneliness among near-centenarians and centenarians. We used data collected from 94 individuals aged 95–107 from the Fordham Centenarian Study. We built a four-group typology and explored associations with individual characteristics in various domains (demographic, socioeconomics, social, health, care, and psychological) with multinomial logistic regression models. Considering their combinations, the most prevalent groups were “isolated and lonely” and “neither isolated nor lonely” (29.8% and 28.7%, respectively). The “lonely but not isolated” (20.2%) and “isolated but not lonely” (21.3%) groups were also notably large. The likelihood of belonging to each group varied according to various individual characteristics, such as education, health, and personality. Social isolation and loneliness are distinct phenomena among centenarians. The consideration of their varied combination can help better assess life conditions at very old ages. Taking into account the differences between groups can facilitate the design of tailored interventions to improve the lives of near-centenarians and centenarians.
Although loneliness and social isolation are often discussed together, they are mainly examined separately. The few studies examining both concepts simultaneously focus usually on the wider category of older people (65+), with no or little attention to very old age. Our main aim was to investigate loneliness and social isolation in combination among near-centenarians and centenarians. Analyzing data from the Fordham Centenarian Study (N=94; MAge=99.2; range=95-107), we found no or very weak associations between loneliness and social isolation. Combining measures of loneliness (UCLA Loneliness scale) and social isolation (Lubben Scale) we built a typology with four different groups (Not lonely or isolated; Lonely and isolated; Lonely but not isolated; Isolated but not lonely). The factors that most strongly predicted the distribution among these four groups were gender, widowhood, education, and self-rated health. Findings highlight the importance of jointly studying both concepts to better understand social risks in very old age.
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