Professor Andrew Steptoe: all content

Showing 21 – 40 of 109 results

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Forecasted trends in disability and life expectancy in England and Wales up to 2025: a modelling study.

Journal article

Background: Reliable estimation of future trends in life expectancy and the burden of disability is crucial for ageing societies. Previous forecasts have not considered the potential impact of trends in disease incidence. The present prediction model combines population trends in cardiovascular disease, dementia, disability, and mortality to forecast trends in life expectancy and the burden of disability in England and Wales up to 2025.

12 July 2017

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Insulin-like Growth Factor 1 in relation to future hearing impairment: findings from the English Longitudinal Study of Ageing

Journal article

Insulin-like Growth Factor 1 (IGF-1) is associated with cardiovascular disease, itself a risk factor for hearing impairment, and, in animal studies, molecular evidence suggests a role for IGF-1 in hearing function. However, the link between IGF-1 and the occurrence of hearing impairment is untested in population-based studies of humans. A total of 4390 participants aged ≥50 y (mean [SD] age 64.2 [8.0] years at baseline, 55% women) from the English Longitudinal Study of Ageing provided serum levels of IGF-1 in 2008 and again in 2012. Hearing acuity was assessed by an objective hearing test (HearCheck handheld device) in 2014 when the prevalence was 38.2%. In the full cohort, IGF-1 was not associated with subsequent hearing impairment (OR5nmol/L increase; 95% CI: 1.01; 0.94, 1.09). However, this relationship appeared to differ by age (p-value for interaction = 0.03). Thus, in younger participants (aged 50-60 y, n = 1400), IGF-1 was associated with lower odds of hearing impairment (0.86; 0.73, 1.00) after adjustment for a range of potential confounders. Among people ≥60 y (n = 2990) there was a non-significant 'J'-shaped association. Our observational evidence that higher levels of IGF-1 appeared to confer some protection against hearing impairment in some older adults warrants replication in other prospective cohort studies.

23 June 2017

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English Longitudinal Study of Aging (ELSA). In: Nancy A Pachana (ed.). Encyclopedia of Geropsychology. Springer, Singapore.

Book Chapter
Abstract: Definition The English Longitudinal Study of Ageing (ELSA) [1] is a multidisciplinary panel study that collects a comprehensive array of measures on a representative sample of men and woman aged 50 and over who are living in England. Repeated measures covering health, economics, psychology, lifestyle and social connections are collected from the same individuals over time, allowing researchers to study the dynamics of the ageing process. The ELSA sample and study design ELSA is sampled from the Health Survey for England (HSE), a large annual cross-sectional survey on the health of the population of England [2]. Sample members recruited at wave 1 (2002/2003) were individuals who had previously taken part in one of three years of the HSE (1998, 1999 and 2001), and were aged 50 or over at the time of the wave 1 interview. Subsequent ELSA data collection waves have taken place biennially, in 2004/05 (Wave 2), 2006/07 (Wave 3), 2008/09 (Wave 4), 2010/11 (Wave 5), 2012/13 (Wave 6) and 2014/15 (Wave 7). The eighth and ninth waves of data collection are planned for 2016/17 and 2018/2019, respectively. New study participants are recruited during some waves in order to compensate for the ageing sample population and to refresh the younger age groups. This serves to maintain representation of all ages 50 and over in ELSA. Refreshment sampling to date has recruited members aged 50-52 at wave 3 (HSE 2001-04); aged 50-74 at wave 4 (HSE 2006), aged 50-55 at wave 6 (HSE 2009 -11) and aged 50-51 at Wave 7 (HSE 2011-12), with plans to continue to recruit new sample members aged 50-51 at future waves. The “core members” of the ELSA sample are individuals aged 50 and over, living in private residences, who were recruited through HSE at either the first Wave of ELSA or at any of the subsequent refreshment samples. The data also includes interviews with “young partners”, who are individuals under the age of 50 whose partners are core members and “new partners” in the correct age range who entered relationships with core members after those members were recruited to ELSA. Mode of interview Data are collected from respondents in their own home, every two years and by means of a computer assisted personal interview (CAPI) that is delivered by a trained interviewer. The CAPI includes questions on the respondents’ demographics, household membership, work and retirement activities, economic circumstances, health and behaviour. A self-completion questionnaire includes questions on wellbeing, social participation, quality of life and social networks, along with questions considered to be sensitive. The main interview takes approximately 85 minutes to complete for an individual interview and around two hours when two people within the same household are interviewed concurrently. At waves 2, 4 and 6, core members who completed a main interview were offered a visit from a qualified nurse, where a blood sample was taken and a series of performance and biomedical tests were conducted. The nurse visits took place soon after the main interviews and were of similar duration to the main interviews.

1 May 2017

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Positive and Negative Experiences of Social Support and Risk of Dementia in Later Life: An Investigation Using the English Longitudinal Study of Ageing

Journal article

BACKGROUND: Having a network of close relationships may reduce the risk of developing dementia. However, social exchange theory suggests that social interaction entails both rewards and costs. The effects of quality of close social relationships in later life on the risk of developing dementia are not well understood.

25 April 2017

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Social capital, deprivation and self-rated health: does reporting heterogeneity play a role? Results from the English Longitudinal Study of Ageing.

Journal article

Self-rated health (SRH) is commonly assessed in large surveys, though responses can be influenced by different individuals' perceptions of and beliefs about health. Therefore, instead of providing evidence of 'true' health disparities across groups, findings may actually reflect reporting heterogeneity. Using data from participants aged 50 years and older from the English Longitudinal Study of Ageing (ELSA) Wave 3 (2006/07; participation rate = 73%), associations between three dimensions of social capital (local area & trust, social support and social networks), deprivation and SRH were examined using the vignette methodology in 2341 individuals who completed both the self-report and at least one of the 18 vignettes. Analysis employed a hierarchical probit model (HOPIT). Individuals expressing low local area & trust social capital (beta = -0.276, p < 0.001) and those with poor social networks (beta = -0.280, p < 0.001) were more likely to report poor SRH in HOPIT models accounting for reporting heterogeneity, but unadjusted ordered probit analyses still correctly show a negative relationship between low local area & trust social capital (beta = -0.243, p < 0.001) and those with poor social networks (beta = -0.210, p < 0.01), though they somewhat tend to underestimate its strength. Neither social support nor deprivation appeared to have any effect on SRH regardless of reporting heterogeneity. Anchoring vignettes offer a relatively uncomplicated and cost-effective way of identifying and correcting for reporting heterogeneity to improve comparative validity of self-report measures of health. This analysis underlines the need for caution when using unadjusted self-reported measures to study the effects of social capital on health.

12 April 2017

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The English Longitudinal Study of Ageing, Encyclopedia of Geropsychology

Journal article

The English Longitudinal Study of Ageing (ELSA) (Steptoe et al. 2013a) is a multidis- ciplinary panel study that collects a comprehensive array of measures on a representative sample of men and woman aged 50 and over who are living in England. Repeated measures covering health, economics, psychology, lifestyle, and social connections are collected from the same individuals over time, allowing researchers to study the dynamics of the aging process.

9 January 2017

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Investigating the Bidirectional Associations of Adiposity with Sleep Duration in Older Adults: The English Longitudinal Study of Ageing (ELSA)

Journal article

Cross-sectional analyses of adiposity and sleep duration in younger adults suggest that increased adiposity is associated with shorter sleep. Prospective studies have yielded mixed findings, and the direction of this association in older adults is unclear. We examined the cross-sectional and potential bi-directional, prospective associations between adiposity and sleep duration (covariates included demographics, health behaviours, and health problems) in 5,015 respondents from the English Longitudinal Study of Ageing (ELSA), at baseline and follow-up. Following adjustment for covariates, we observed no significant cross-sectional relationship between body mass index (BMI) and sleep duration [(unstandardized) B = -0.28 minutes, (95% Confidence Intervals (CI) = -0.012; 0.002), p = 0.190], or waist circumference (WC) and sleep duration [(unstandardized) B = -0.10 minutes, (95% CI = -0.004; 0.001), p = 0.270]. Prospectively, both baseline BMI [B = -0.42 minutes, (95% CI = -0.013; -0.002), p = 0.013] and WC [B = -0.18 minutes, (95% CI = -0.005; -0.000), p = 0.016] were associated with decreased sleep duration at follow-up, independently of covariates. There was, however, no association between baseline sleep duration and change in BMI or WC (p > 0.05). In older adults, our findings suggested that greater adiposity is associated with decreases in sleep duration over time; however the effect was very small.

9 January 2017