The Trajectories of the Social Exclusion of Older people and Age-group differences: Analysis of English Longitudinal Study of Ageing(ELSA)

2017 ◽  
Vol 55 ◽  
pp. 35-74
Author(s):  
Hyunju Park
Keyword(s):  
Longitudinal Study ◽  
Older People ◽  
Social Exclusion ◽  
Group Differences ◽  
Age Group ◽  
The Social ◽  
English Longitudinal Study

scholarly journals Polypharmacy is a risk factor for hospital admission due to a fall: evidence from the English Longitudinal Study of Ageing

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
P. Zaninotto ◽  
Y. T. Huang ◽  
G. Di Gessa ◽  
J. Abell ◽  
C. Lassale ◽  
...  
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Older People ◽  
Hospital Admission ◽  
Prescription Drugs ◽  
Hospital Admissions ◽  
Competing Risk ◽  
Risk Of Falls ◽  
Nationally Representative ◽  
English Longitudinal Study

Abstract Background Falls amongst older people are common; however, around 40% of falls could be preventable. Medications are known to increase the risk of falls in older adults. The debate about reducing the number of prescribed medications remains controversial, and more evidence is needed to understand the relationship between polypharmacy and fall-related hospital admissions. We examined the effect of polypharmacy on hospitalization due to a fall, using a large nationally representative sample of older adults. Methods Data from the English Longitudinal Study of Ageing (ELSA) were used. We included 6220 participants aged 50+ with valid data collected between 2012 and 2018.The main outcome measure was hospital admission due to a fall. Polypharmacy -the number of long-term prescription drugs- was the main exposure coded as: no medications, 1–4 medications, 5–9 medications (polypharmacy) and 10+ medications (heightened polypharmacy). Competing-risk regression analysis was used (with death as a potential competing risk), adjusted for common confounders, including multi-morbidity and fall risk-increasing drugs. Results The prevalence of people admitted to hospital due to a fall increased according to the number of medications taken, from 1.5% of falls for people reporting no medications, to 4.7% of falls among those taking 1–4 medications, 7.9% of falls among those with polypharmacy and 14.8% among those reporting heightened polypharmacy. Fully adjusted SHRs for hospitalization due to a fall among people who reported taking 1–4 medications, polypharmacy and heightened polypharmacy were 1.79 (1.18; 2.71), 1.75 (1.04; 2.95), and 3.19 (1.61; 6.32) respectively, compared with people who were not taking medications. Conclusions The risk of hospitalization due to a fall increased with polypharmacy. It is suggested that prescriptions in older people should be revised on a regular basis, and that the number of medications prescribed be kept to a minimum, in order to reduce the risk of fall-related hospital admissions.

scholarly journals SOCIAL AND BIOLOGICAL PREDICTORS OF HOSPITAL ADMISSIONS FOR A FALL IN THE ENGLISH LONGITUDINAL STUDY OF AGEING (ELSA)

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S60-S60
Author(s):  
Jessica G Abell ◽  
Camille Lassale ◽  
Andrew Steptoe ◽  
G David Batty ◽  
Paola Zaninotto
Keyword(s):  
Longitudinal Study ◽  
Older People ◽  
Hospital Admissions ◽  
Cox Regression ◽  
Premature Mortality ◽  
Care Services ◽  
Health And Social Care ◽  
Icd 10 ◽  
First Occurrence ◽  
English Longitudinal Study

Abstract Falls are the most frequent type of accidents among older people, with one in three people aged over 65 falling each year. Falls serious enough to result in hospital admission are especially problematic, since they can lead to an increased likelihood of future disability, loss of independence, and premature mortality. Understanding the factors that may determine the risk of experiencing a fall, which requires admission to hospital, is therefore an important priority. This paper seeks to examine this issue using Hospital Episode Statistics (HES) data – administrative data from English hospitals in the National Health Service (NHS). These data have recently been linked with the English Longitudinal Study of Ageing (ELSA). We examine the association between a range of predictors (demographic, social environment, physical and mental functioning) drawn from wave 4 of ELSA with the first occurrence of hospitalisation due to an accidental fall, identified using ICD-10 codes. Analysis using Cox regression suggest a range of factors are negatively associated with admission to hospital with diagnosis of a fall, such as living alone (HR=1.42; 95% CI: 1.19, 1.68), urinary incontinence (HR=1.33; 95% CI: 1.09, 1.61) and depressive symptoms (HR=1.50; 95% CI: 1.23, 1.82). High walking speed (HR=0.30; 95% CI: 0.23, 0.39) and good hand-grip strength (HR=0.97; 95% CI: 0.96, 0.98) were found to be protective. The prevention of serious falls amongst older people will require determinants to be identified and managed effectively by health and social care services.

scholarly journals Fruit and Vegetable Consumption and Incident Prefrailty and Frailty in Community-Dwelling Older People: The English Longitudinal Study of Ageing

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3882
Author(s):  
Gotaro Kojima ◽  
Steve Iliffe ◽  
Stephen Jivraj ◽  
Kate Walters
Keyword(s):  
Longitudinal Study ◽  
Older People ◽  
Vegetable Consumption ◽  
Panel Study ◽  
Community Dwelling ◽  
Fruit And Vegetable Consumption ◽  
Fruit And Vegetable ◽  
Frailty Phenotype ◽  
Logistic Regression Models ◽  
English Longitudinal Study

Background: There is limited evidence in the literature regarding associations between fruit and vegetable consumption and risk of frailty. Objective: To examine associations between fruit and vegetable consumption and risk of incident frailty and incident prefrailty/frailty. Design: A prospective panel study. Setting and Subjects: 2634 non-frail community-dwelling men and women aged 60 years or older from the English Longitudinal Study of Ageing (ELSA). Methods: Fruit and vegetable consumption/day was measured using a self-completion questionnaire at baseline. Frailty status was measured at baseline and follow-up was based on modified frailty phenotype criteria. Four-year incident frailty was examined among 2634 robust or prefrail participants, and incident prefrailty/frailty was measured among 1577 robust participants. Results: Multivariable logistic regression models adjusted for age, gender, and other confounders showed that fruit and vegetable consumption was not associated with incident frailty risks among robust or prefrail participants. However, robust participants consuming 5–7.5 portions of 80 g per day (odds ratio (OR) = 0.56, 95% confidence interval (CI) = 0.37–0.85, p < 0.01) and 7.5–10 portions per day (OR = 0.46, 95%CI = 0.27–0.77, p < 0.01) had significantly lower risk of incident prefrailty/frailty compared with those consuming 0–2.5 portions/day, whereas those consuming 10 or more portions/day did not (OR = 1.10, 95%CI = 0.54–2.26, p = 0.79). Analysis repeated with fruit and vegetable separately showed overall similar results. Conclusions: Robust older adults without frailty who eat current U.K. government recommendations for fruit and vegetable consumption (5–10 portions/day) had significantly reduced risks of incident prefrailty/frailty compared with those who only eat small amount (0–2.5 portions/day). Older people can be advised that eating sufficient amounts of fruit and vegetable may be beneficial for frailty prevention.

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