Gillian Windle

A preventative lifestyle intervention for older adults (Lifestyle Matters): a randomised controlled trial

Abstract Objectives to test whether an occupation-based lifestyle intervention can sustain and improve the mental well-being of adults aged 65 years or over compared to usual care, using an individually randomised controlled trial. Participants 288 independently living adults aged 65 years or over, with normal cognition, were recruited from two UK sites between December 2011 and November 2015. Interventions lifestyle Matters is a National Institute for Health and Care Excellence recommended multi-component preventive intervention designed to improve the mental well-being of community living older people at risk of decline. It involves weekly group sessions over 4 months and one to one sessions. Main outcome measures the primary outcome was mental well-being at 6 months (mental health (MH) dimension of the SF-36). Secondary outcomes included physical health dimensions of the SF-36, extent of depression (PHQ-9), quality of life (EQ-5D) and loneliness (de Jong Gierveld Loneliness Scale), assessed at 6 and 24 months. Results data on 262 (intervention = 136; usual care = 126) participants were analysed using intention to treat analysis. Mean SF-36 MH scores at 6 months differed by 2.3 points (95 CI: −1.3 to 5.9; P = 0.209) after adjustments. Conclusions analysis shows little evidence of clinical or cost-effectiveness in the recruited population with analysis of the primary outcome revealing that the study participants were mentally well at baseline. The results pose questions regarding how preventive interventions to promote well-being in older adults can be effectively targeted in the absence of proactive mechanisms to identify those who at risk of decline. Trial Registration ISRCTN67209155.

Health and social exclusion in older age: Evidence from Understanding Society, the UK Household Longitudinal Study

Background Social exclusion of the elderly is a key policy focus but evidence on the processes linking health and social exclusion is hampered by the variety of ways that health is used in social exclusion research. We investigated longitudinal associations between health and social exclusion using an analytical framework that did not conflate them. Methods Data employed in this study came from 4 waves of Understanding Society, the UK Household Longitudinal Study 2009–2013. The sample comprised all adults who took part in all 4 waves, were 65 years or more in Wave 3, and had complete data on our variables of interest for each analysis. We used linear regression to model the relationship between Wave 2/3 social exclusion and Wave1–2 health transitions (N=4312) and logistic regression to model the relationship between Wave2/3 social exclusion and Wave 4 health states, conditional on Wave 3 health (N=4244). Results There was a dose–response relationship between poor health in Waves 1 and 2 and later social exclusion. Use of a car, mobile phone and the internet moderated the association between poor health and social exclusion. Given the health status in Wave 3, those who were more socially excluded had poorer outcomes on each of the three domains of health in Wave 4. Conclusions Use of the internet and technology protected older adults in poor health from social exclusion. Age-friendly hardware and software design might have public health benefits.

Re-thinking social exclusion in later life: A case for a new framework for measurement

ABSTRACT Social exclusion is a dynamic multi-dimensional process that is interactive in nature. The complex interplay between domains, whereby each domain can act as a determinant, indicator and/or outcome of social exclusion, hinders understanding of the process and the mechanisms through which social exclusion exists. This article highlights the need to disentangle these pathways and move beyond descriptive accounts of social exclusion, presenting a new working framework that allows direct hypothesis testing of these between-domain relationships. Whilst this working framework can be applied to any population, this article focuses on older adults. Life events that can drive social exclusion such as bereavement and changes in health are more likely to occur in later life, and occur more frequently, increasing the risk of social exclusion for this population. Rooted in the new working framework, this article presents the construction of later life social exclusion measures for use with Understanding Society – the United Kingdom Household Longitudinal Study. The validity of these measures are considered by examining the characteristics of those aged 65 years and over who score the highest, and therefore experience the greatest level of exclusion. This new working framework and developed social exclusion measures provide a platform from which to explore the complex relationships between domains of social exclusion and ultimately provide a clearer understanding of this intricate multi-dimensional process.

A concise alternative for researching health-related quality of life in older people

Researchers have a wide range of tools for health assessments to choose from, some of which can be lengthy and time consuming. The purpose of this paper is to examine a potentially shorter alternative, the EQ‐5D instrument, with a community dwelling population sample of older people. Data was obtained using trained interviewers from a randomly sampled crosssectional survey of community dwelling older people. 423 people aged 70‐99 were interviewed. Information was obtained relating to activities of daily living, the EQ‐5D, the EQ‐VAS, the SF‐36, use of health and social care services and the presence or absence of a limiting illness, disability or infirmity. In terms of construct validity, the EQ‐5D was able to distinguish between hypoThesised differences in the sample that could be expected to reflect differences in health‐related quality of life. The EQ‐5D items correlated well with conceptually similar items. Completion rates for the EQ‐5D items were good, ranging from 98.3‐98.8%. Completion rates for the EQ‐VAS were 98.1%. The results suggest that the EQ‐ 5D may provide a valid measure of health‐related quality of life in a cross‐sectional population sample of older adults, although the emphasis of the scale is very much on physical health and functioning. The results for the depression/anxiety item suggest that additional information may be needed if mental health is of concern.

A Social Model of Loneliness: The Roles of Disability, Social Resources, and Cognitive Impairment

Abstract Purpose of the study We consider the points at which cognitive impairment may impact on the pathway to loneliness for older people, through impeding social interaction with family and friends, or by interfering with judgments concerning satisfaction with relationships. Design and methods We conceptualize a mediation model anticipating that social resources (LSNS-6) will mediate the pathway between disability (Townsend Disability Scale) and loneliness (De Jong Gierveld 6-item scale) and a moderated-mediation model in which we hypothesize that cognitive impairment (MMSE) will moderate the association between disability and social resources and between social resources and loneliness. To validate the hypothesized pathways, we draw on the CFAS Wales data set (N = 3,593) which is a nationally representative study of community-dwelling people aged 65 and older in Wales. Results Disability had a significant indirect effect on loneliness through the mediating variable social resources. Cognitive impairment was significantly associated with social resources, but did not moderate the relationship between disability and social resources. Cognitive impairment had a significant impact on loneliness, and moderated the effect of social resources on loneliness. Implications Social structures can (dis)empower people with cognitive impairment and lead to exclusion from social resources or impact on the social construction of aging, cognitive impairment, and dementia. The sense of self for an older person with cognitive impairment may be influenced by social norms and stereotypes, or through a temporal social comparison with an “earlier” sense of self. We conclude that loneliness interventions should be theoretically informed to identify key areas for modification.

Seeking assistance in later life: how do older people evaluate their need for assistance?

Abstract Background legislation places an onus on local authorities to be aware of care needs in their locality and to prevent and reduce care and support needs. The existing literature overlooks ostensibly ‘healthy’ and/or non-users of specific services, non-health services and informal assistance and therefore inadequately explains what happens before or instead of individuals seeking services. We sought to address these gaps by exploring older adults’ accounts of seeking assistance in later life. Methods we conducted semi-structured qualitative interviews with 40 adults aged 68–95. We invited participants to discuss any type of support, intervention, or service provision, whether medical, social, family-provided, paid or unpaid. Findings this paper reports older people’s accounts of how they evaluated their need for assistance. We found that the people in our sample engaged in a recursive process, evaluating their needs on an issue-by-issue basis. Participants’ progression through this process hinged on four factors: their acknowledgement of decline; the perceived impact of decline on their usual activities and independence; their preparedness to be a recipient of assistance; and, the opportunity to assert their need. In lieu of seeking assistance, participants engaged in self-management, but also received unsolicited or emergency assistance. Conclusions older people’s adaptations to change and attempts to meet their needs without assistance mean that they do not present to services, limiting the local authority’s knowledge of their needs and ability to plan appropriate services. Our findings offer four stages for policymakers, service providers and carers to target to address the uptake of assistance.