Elsevier

Archives of Gerontology and Geriatrics

Volume 59, Issue 2, September–October 2014, Pages 211-226
Archives of Gerontology and Geriatrics

Review
Understanding causal associations between self-rated health and personal relationships in older adults: A review of evidence from longitudinal studies

https://doi.org/10.1016/j.archger.2014.06.009Get rights and content

Abstract

Background

As we age we experience many life changes in our health, personal relationships, work, or home life which can impact on other aspects of our life. There is compelling evidence that how we feel about our health influences, or is influenced by, the personal relationships we experience with friends and relatives. Currently the direction this association takes is unclear.

Aim

To assess the level of published evidence available on causal links between self-rated health and personal relationships in older adults.

Methods

MEDLINE, CINAHL, and PsycINFO searches from inception to June 2012 and hand searches of publication lists, reference lists and citations were used to identify primary studies utilizing longitudinal data to investigate self-rated health and personal relationships in older adults.

Results

Thirty-one articles were identified. Only three articles employed methods suitable to explore causal associations between changes in self-rated health and changes in personal relationships. Two of these articles suggested that widowhood leads to a reduction in self-rated health in the short term, while the remaining article suggested a causal relationship between self-rated health and negative emotional support from family or friends, but this was complex and mediated by self-esteem and sense of control.

Conclusion

While there is an abundance of longitudinal aging cohorts available which can be used to investigate self-rated health and personal relationships over time the potential for these databases to be used to investigate causal associations is currently not being recognized.

Introduction

People are generally living longer (WHO, 2002). To a large extent this reflects advances in medical interventions and health promotion initiatives which have improved the management of chronic conditions and the control of infectious diseases (National Institute on Aging, 2006). As a consequence more people are living with age related health conditions and people can expect to live with health problems for a longer period of time (Christensen et al., 2009, Westendorp and Kirkwood, 2007). In an attempt to reduce the burden of disease and disability associated with aging there has been an increased interest in health in later life, and the factors associated with healthy aging. National and international strategies (DoH, 2001, U.S. Department of Health and Human Services, 2010, WHO, 2002) introduced to optimize the potential for a healthy old age all acknowledge that healthy aging is linked to social and environmental factors. Research shows that factors such as participation in social activities (Adams et al., 2011, Chiao et al., 2011, Glass et al., 1995, Golden et al., 2009); perceived loneliness or isolation (Cornwell and Waite, 2009, Stephens et al., 2011); and the quantity (Miller and McFall, 1991, Van Tilburg and Van Groenou, 2002, Wilson, 2009), frequency (van Tilburg, Aartsen, & Knipscheer, 2000), or quality of personal relationships (Fiorillo and Sabatini, 2011, Michael et al., 1999, Pinquart and Sorensen, 2000, Strawbridge et al., 1996); where personal relationships refers to any interaction with other people where there exists an emotional bond; are all associated with health outcomes.

Health measures can incorporate a number of health outcomes, including physiological, functional, cognitive, and psychological health. One simple health measure is the single item self-rated health question which is used to illicit an understanding of how individuals perceive their own health generally (Bowling, 2005, DeSalvo et al., 2006). Self-rated health is a globally accepted measure of health which is simple to administer and captures multiple dimensions of health and well-being, including past health experiences and future health expectations (Simon, De Boer, Joung, Bosma, & Mackenbach, 2005). It is used widely within gerontology as responses appear to be predictive of mortality (DeSalvo et al., 2006, Idler and Benyamini, 1997), functional decline (Idler and Kasl, 1995, Lee, 2000), health service utilization (Miilunpalo et al., 1997, Weinberger et al., 1986), and functional and psychological health outcomes (Ferraro, 1980, French et al., 2012).

Evidence from studies assessing self-rated health and personal relationships in older people suggest a link between self-rated health and marital status (Goldstein and Hurwicz, 1989, Liang et al., 1999, Haron et al., 2010), network size (Thanakwang, 2009), living arrangements (Rahman, Menken, & Kuhn, 2004), level of support received (Minkler et al., 1983, Okamoto and Harasawa, 2009, Ongaro and Salvini, 1995, Thanakwang, 2009, Wang, 1998, White et al., 2009, Zunzunegui et al., 2001) or provided from family or friends (Mui, 1995), and positive or negative interactions with family or friends (Bookwala, 2011).

Perceptions of health and personal relationships are not constant but change over time. Research in this area is commonly based on cross-sectional analyses but changes in self-rated health and personal relationships over time, and the direction these associations take cannot be inferred from cross sectional data. Understanding the causal dynamics between self-rated health and personal relationships requires, as a minimum, the following well established criteria to be present (Menard, 1991, Popper, 1959): (a) there is an association between the two factors, (b) one factor (cause) precedes the other factor (effect) and (c) no other factor can account for the association. While cross-sectional data can be used to establish (a) and (c), longitudinal data is needed to establish (b) so that the sequence of change in both self-rated health and personal relationships can be assessed over time (Allison, 2005, House, 2002, Schwarzer and Leppin, 1991). In this way the basic assumption that the cause must precede the effect can be explored to identify if a change in self-rated health or personal relationships causes a later change in personal relationships or self-rated health respectively. Therefore, to understand directional associations between self-rated health and personal relationships it is necessary to use longitudinal data.

As a result of the worldwide interest in understanding the opportunities and challenges associated with people living longer there are currently a wealth of longitudinal datasets available that can be used to investigate the causal associations between self-rated health and personal relationships in older adults. These datasets include the Health and Retirement Study (HRS), the Survey of Health, Aging and Retirement in Europe (SHARE), the English Longitudinal Study of Aging (ELSA) and the longitudinal study of older adults conducted as part of the MacArthur Foundation Study of Successful Aging (Rowe & Kahn, 1999). Understanding the causal mechanisms involved between changes in self-rated health and personal relationships over time in older adults will help our understanding of how, and in what way, changes in personal relationships can impact on health perception, and how health deterioration can impact on relationships. This knowledge may assist in identifying older adults who require additional support to maintain their overall health and well-being when they experience changes in health or personal relationships.

The aim of this review is to assess the extent to which longitudinal data on older adults is being utilized to examine causal associations between self-rated health and personal relationships, and to examine if studies are using appropriate methodology to enable causal inferences to be made.

Section snippets

Eligibility

Eligible studies were published primary articles which investigated both self-rated general health and personal relationships within the same analysis; used data collected for the same participants from at least two time points; included results for predominantly community based older adults; and either included self-rated health or personal relationships as the outcome of interest, or assessed the association between self-rated health and personal relationships. Articles which included

Literature search results

Fig. 1 shows the number of articles at each stage of the literature search. After de-duplication the initial search identified 1745 articles. The first screening to remove irrelevant articles, based on the title and/or abstract, reduced the number of articles to be assessed for eligibility to 418. The number of articles excluded after second screening was 404, leaving fourteen articles (Boerner and Reinhardt, 2003, Cerhan and Wallace, 1993, Cornman et al., 2003, Ferraro et al., 1984, Field et

Discussion

The objective of this review was to identify studies which included analytical methodology with the potential to infer causal associations between self-rated health and personal relationships in older adults. The results from this review suggest that despite the increased interest in investigating the mechanisms supporting health in older adults, and the large numbers of longitudinal datasets available to support aging research, to date, few studies have attempted to investigate causal

Conclusion

More research is required to investigate the causal relationship between personal relationship dynamics and self-rated health in older adults. Future research in this area should investigate both short and longer term causal associations and use terminology that clearly defines the study objectives.

Role of the funding source

Cheryl L. Craigs conducted this review under supervision and guidance from contributing authors as part of a doctoral project funded by a White Rose University Consortium Doctoral Studentship. The remaining authors received no financial support for this research. The White Rose Consortium had no involvement in the study design; collection, analysis or interpretation of data; writing of the manuscript; or decision to submit for publication.

Conflict of interest

The authors declare no actual or potential financial or personal conflicts of interest with respect to this research.

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