Social relations in older adults: Secular trends and longitudinal changes over a 16-year follow-up

Intergenerational relationship quality, sense of loneliness, and attitude toward later life among aging Chinese adults in Hong Kong

A positive attitude toward later life is crucial for wellbeing among older adults. Maintaining a healthy relationship with adult children can help reduce older parents’ sense of loneliness and nurture a positive life attitude. This study aimed to investigate the associations between multidimensional intergenerational relationship quality and attitudes toward later life among aging Chinese adults in Hong Kong and examine the mediating effects of a sense of loneliness. Representative survey data were collected from 801 participants (aged 50 years and over) with at least one adult child. Multiple linear regression was employed to investigate the associations between overall intergenerational relationship quality with a sense of loneliness as well as the attitude toward later life. To examine the mediating effects of a sense of loneliness, causal mediational analyses were performed. Results demonstrated that overall intergenerational relationship quality was positively associated with aging parents’ attitude toward later life, and this relationship could be partially mediated by a sense of loneliness. Among the four subdomains of intergenerational relationship quality, the influences of structural-associational solidarity and intergenerational conflict on attitude toward later life were almost fully mediated by a sense of loneliness, whereas the influences of consensual-normative solidarity and affectual closeness were partially mediated. These findings contributed to an improved understanding of the relationship between intergenerational relationship quality, sense of loneliness, and attitude toward later life, and could inform future policies and service programs that promote aging adults’ social integration and positive aging.

Analyzing Birth Cohorts With the National Social Life, Health, and Aging Project

OBJECTIVES

In this article, we seek to provide assistance to those who might want to use data from the National Social Life, Health, and Aging Project (NSHAP) Rounds 1-3 to compare those born in different cohorts. We outline 2 theoretical models that underlie the design of NSHAP-the life course model and the birth cohorts model-and review examples of social and political changes that may have differentially affected cohorts of older adults. Then we present 2 ways that NSHAP data might be used to compare cohorts, show examples of analyses of cohort differences in measures in NSHAP, and discuss features of the data that might affect their use for this purpose.

METHODS

Round 3 of the NSHAP added a group of respondents born between 1948 and 1965, the Baby Boom. Together with data from an earlier cohort, interviewed in Rounds 1-3, these data allow analysis of birth cohorts of older adults in the United States. We show examples of some approaches.

RESULTS

Our age-matched cohort differences approach included all observations where the respondent was aged 57-67 at the time of interview in different time periods (3,816 observations overall; 2,316 for the Silent Generation cohort and 1,500 for the Baby Boom cohort). Our second approach, age, period, and cohort effects, models the effects of age and birth year using restricted cubic splines, with one model excluding the linear effect of birth year, and the other excluding the linear effect of period. We present examples of analyses using each of these methods.

DISCUSSION

We describe features of the NSHAP data of which researchers should be aware when conducting cohort analyses with these data.

Translating Knowledge

Introduction. Intergenerational programs have been touted to address the generation gaps and isolation of older adults. Mutual contact alone has produced mixed results, but attention to the intergenerational program content demonstrates well-being benefits. This practice-based article examines the benefits of creating and performing ensemble-created plays to older adults’ and university students’ well-being and the key processes that promote well-being. Method. This community participatory research project involved older adults as researchers as well as research subjects. Individual semistructured interviews were conducted by two trained interviewers with older adults (n = 15) and university students (n = 17). Results. Professional dramaturgical processes of storytelling, reminiscence, and playfulness were key elements in participants’ generative learning. They augmented older adults’ and university students’ ability to understand their situations and try innovative solutions. Skills such as openness, flexibility, and adaptation transferred into students’ and older adults’ daily lives. Conclusion. Participating in this intergenerational theatre group reduced ageism and improved intergenerational relationships. It increased older adults’ and university students’ well-being by building social networks, confidence, and self-esteem and developed a sense of social justice, empathy, and support for others.

Individual and environmental factors underlying life space of older people - study protocol and design of a cohort study on life-space mobility in old age (LISPE)

BACKGROUND

A crucial issue for the sustainability of societies is how to maintain health and functioning in older people. With increasing age, losses in vision, hearing, balance, mobility and cognitive capacity render older people particularly exposed to environmental barriers. A central building block of human functioning is walking. Walking difficulties may start to develop in midlife and become increasingly prevalent with age. Life-space mobility reflects actual mobility performance by taking into account the balance between older adults internal physiologic capacity and the external challenges they encounter in daily life. The aim of the Life-Space Mobility in Old Age (LISPE) project is to examine how home and neighborhood characteristics influence people's health, functioning, disability, quality of life and life-space mobility in the context of aging. In addition, examine whether a person's health and function influence life-space mobility.

DESIGN

This paper describes the study protocol of the LISPE project, which is a 2-year prospective cohort study of community-dwelling older people aged 75 to 90 (n = 848). The data consists of a baseline survey including face-to-face interviews, objective observation of the home environment and a physical performance test in the participant's home. All the baseline participants will be interviewed over the phone one and two years after baseline to collect data on life-space mobility, disability and participation restriction. Additional home interviews and environmental evaluations will be conducted for those who relocate during the study period. Data on mortality and health service use will be collected from national registers. In a substudy on walking activity and life space, 358 participants kept a 7-day diary and, in addition, 176 participants also wore an accelerometer.

DISCUSSION

Our study, which includes extensive data collection with a large sample, provides a unique opportunity to study topics of importance for aging societies. A novel approach is employed which enables us to study the interactions of environmental features and individual characteristics underlying the life-space of older people. Potentially, the results of this study will contribute to improvements in strategies to postpone or prevent progression to disability and loss of independence.

Social networks, social support, and burden in relationships, and mortality after breast cancer diagnosis in the Life After Breast Cancer Epidemiology (LACE) study

Larger social networks have been associated with lower breast cancer mortality. The authors evaluated how levels of social support and burden influenced this association. We included 2,264 women from the Life After Cancer Epidemiology study who were diagnosed with early-stage, invasive breast cancer between 1997 and 2000, and provided data on social networks (spouse or intimate partner, religious/social ties, volunteering, time socializing with friends, and number of first-degree female relatives), social support, and caregiving. 401 died during a median follow-up of 10.8 years follow-up with 215 from breast cancer. We used delayed entry Cox proportional hazards regression to evaluate associations. In multivariate-adjusted analyses, social isolation was unrelated to recurrence or breast cancer-specific mortality. However, socially isolated women had higher all-cause mortality (HR = 1.34, 95 % CI: 1.03-1.73) and mortality from other causes (HR = 1.79, 95 % CI: 1.19-2.68). Levels of social support and burden modified associations. Among those with low, but not high, levels of social support from friends and family, lack of religious/social participation (HR = 1.58, 95 % CI: 1.07-2.36, p = 0.02, p interaction = 0.01) and lack of volunteering (HR = 1.78, 95 % CI: 1.15-2.77, p = 0.01, p interaction = 0.01) predicted higher all-cause mortality. In cross-classification analyses, only women with both small networks and low levels of support (HR = 1.61, 95 % CI: 1.10-2.38) had a significantly higher risk of mortality than women with large networks and high levels of support; women with small networks and high levels of support had no higher risk of mortality (HR = 1.13, 95 % CI: 0.74-1.72). Social networks were also more important for caregivers versus noncaregivers. Larger social networks predicted better prognosis after breast cancer, but associations depended on the quality and burden of family relationships.

Factors affecting trajectory patterns of self-rated health (SRH) in an older population--a community-based longitudinal study

Self-rated health (SRH) is considered a relevant and important predictor for major health outcomes in the older population. SRH status may interact with certain factors and change over a person's lifetime. In this study, we sought to characterize profiles of older people over time by constructing prototypical trajectories of the variable of interest, namely SRH. The underlying assumption was that the collection of observed individual trajectories could be efficiently summarized by a smaller set of latent clusters of those trajectories. Data was obtained from the Longitudinal Survey of Health and Living Status of the Elderly in Taiwan, which was conducted between 1989 and 2003 and included five separate waves of survey. A total of 3937 subjects aged 60 or older (2251 males and 1686 females) comprised the major analytic cohort. Latent Class Growth Analysis (LCGA) was used to identify developmental classes of trajectory patterns in SRH. The results showed that during a 14-year period, SRH developed five major longitudinal trajectories. Less than one-third of the older population was able to maintain their formerly good or moderate health status; when change occurred, decline was more likely than improvement. In addition, LCGA indicated that many demographic characteristics, as well as physical and psychological propensities, were associated with poor SRH in the older population. Specifically, these factors played a role in involving baseline SRH level and its trend toward deterioration in later life. Health care professionals must understand the various longitudinal patterns and factors affecting SRH trajectories if they are to develop programs aimed at maintaining the older population's health and well-being.