Dose-response relationships between polypharmacy and all-cause and cause-specific mortality among older people

Background

Although medicines are prescribed based on clinical guidelines and expected to benefit patients, both positive and negative health outcomes have been reported associated with polypharmacy. Mortality is the main outcome, and information on cause-specific mortality is scarce. Hence, we investigated the association between different levels of polypharmacy and all-cause and cause-specific mortality among older adults.

Method

The English Longitudinal Study of Ageing is a nationally representative study of people aged 50+. From 2012/2013, 6 295 individuals were followed up to April 2018 for all-cause and cause-specific mortality. Polypharmacy was defined as taking 5–9 long-term medications daily and heightened polypharmacy as 10+ medications. Cox proportional hazards regression and competing-risks regression were used to examine associations between polypharmacy and all-cause and cause-specific mortality, respectively.

Results

Over a 6-year follow-up period, both polypharmacy (19.3%) and heightened polypharmacy (2.4%) were related to all-cause mortality, with hazard ratios of 1.51 (95% CI: 1.05–2.16) and 2.29 (95% CI: 1.40–3.75) respectively, compared with no medications, independently of demographic factors, serious illnesses and long-term conditions, cognitive function, and depression. Polypharmacy and heightened polypharmacy also showed 2.45 (95% CI: 1.13–5.29) and 3.67 (95% CI: 1.43–9.46) times higher risk of cardiovascular disease deaths, respectively. Cancer mortality was only related to heightened polypharmacy.

Conclusion

Structured medication reviews are currently advised for heightened polypharmacy, but our results suggest that greater attention to polypharmacy in general for older people may reduce adverse effects and improve older adults’ health.

Polypharmacy difference between older people with and without diabetes: Evidence from the English longitudinal study of ageing

AIM

To study the association between diabetes and the prevalence of and risk factors for polypharmacy among adults aged 50 and older in England.

METHODS

A cross-sectional study (2012-2013) of the English Longitudinal Study of Ageing. Polypharmacy was defined as taking 5-9 long-term medications a day and heightened polypharmacy as 10 or more. Diabetes included diagnosed and undiagnosed cases (glycated haemoglobin ≥ 6.5% (48 mmol/mol)).

RESULTS

Of 7729 participants, 1100 people had diabetes and showed higher prevalence rates of polypharmacy (41.1% vs 14.8%) and heightened polypharmacy (5.8% vs 1.7%) than those without diabetes, even when antihyperglycemic medications were excluded. Risk factors for polypharmacy also differed according to diabetes status. Among people with diabetes, risk factors for polypharmacy and heightened polypharmacy were having more long-term conditions (relative risk ratio (RRR) = 1.86; 3.51) and being obese (RRR = 1.68; 3.68), while females were less likely to show polypharmacy (RRR = 0.51) and heightened polypharmacy (RRR = 0.51) than males. Older age (RRR = 1.04) was only related to polypharmacy among people without diabetes.

CONCLUSIONS

Adults with diabetes had higher prevalence rates of polypharmacy and heightened polypharmacy than those without diabetes, regardless of including antihyperglycemic drugs. Early detection of polypharmacy among older people with diabetes needs to focus on co-morbidities and obesity.

Prevalence of Undiagnosed Diabetes in 2004 and 2012: Evidence From the English Longitudinal Study of Aging

BACKGROUND

In light of recent publicity campaigns to raise awareness of diabetes, we investigated changes in the prevalence of diabetes and undiagnosed diabetes in adults age 50 and older in England between 2004 and 2012, and explored risk factors for undiagnosed diabetes.

METHOD

In total, 7666 and 7729 individuals were from Wave 2 (2004-2005, mean age 66.6) and Wave 6 (2012-2013, mean age 67.6) of the English Longitudinal Study of Ageing. Diagnosed diabetes was defined as either self-reported diabetes or taking diabetic medications. Undiagnosed diabetes was defined as not self-reporting diabetes and not taking diabetic medications, but having a glycated hemoglobin measurement ≥48 mmol/mol (6.5%).

RESULTS

There were increases in both diagnosed diabetes (7.7%-11.5%) and undiagnosed diabetes (2.4%-3.4%) between 2004 and 2012. However, a small decrease in the proportion of people with diabetes who were unaware of this condition (24.5%-23.1%, p < .05) was observed. Only men aged 50-74 showed a stable prevalence of undiagnosed diabetes, with better recognition of diabetes. Age, non-white ethnicity, manual social class, higher diastolic blood pressure, and cholesterol level were factors associated with higher risks of undiagnosed diabetes, whereas greater depressive symptoms were related to lower risks.

CONCLUSION

This study suggests that the greater awareness of diabetes in the population of England has not resulted in a decline in undiagnosed cases between 2004 and 2012. A greater focus on people from lower socioeconomic groups and those with cardiometabolic risk factors may help early diagnosis of diabetes for older adults.

Risk Factors for Hospital Admission After a Fall: A Prospective Cohort Study of Community-Dwelling Older People

BACKGROUND

Falls in later life that require admission to hospital have well-established consequences for future disability and health. The likelihood and severity of a fall will result from the presence of one or more risk factors. The aim of this study is to examine risk factors identified for their ability to prevent falls and to assess whether they are associated with hospital admission after a fall.

METHODS

Analyses of data from the English Longitudinal Study of Aging (ELSA), a prospective cohort study. In a sample of 3783 men and women older than 60 years old, a range of potential risk factors measured at Wave 4 (demographic, social environment, physical, and mental functioning) were examined as predictors of fall-related hospitalizations, identified using International Classification of Diseases, 10th Revision (ICD-10) code from linked hospital records in the United Kingdom. Subdistribution hazard models were used to account for competing risk of death.

RESULTS

Several risk factors identified by previous work were confirmed. Suffering from urinary incontinence (subdistribution hazard ratio = 1.49; 95% CI: 1.14, 1.95) and osteoporosis (subdistribution hazard ratio = 1.48; 95% CI: 1.05, 2.07), which are not commonly considered at an early stage of screening, were found to be associated with hospital admission after a fall. Both low and moderate levels of physical activity were also found to somewhat increase the risk of hospital admission after a fall.

CONCLUSIONS

Several predictors of having a fall, severe enough to require hospital admission, have been confirmed. In particular, urinary incontinence should be considered at an earlier point in the assessment of risk.

Socioeconomic Inequalities in Disability-free Life Expectancy in Older People from England and the United States: A Cross-national Population-Based Study

Background

We examined socioeconomic inequalities in disability-free life expectancy in older men and women from England and the United States and explored whether people in England can expect to live longer and healthier lives than those in the United States.

Methods

We used harmonized data from the Gateway to Global Aging Data on 14,803 individuals aged 50+ from the U.S. Health and Retirement Study (HRS) and 10,754 from the English Longitudinal Study of Ageing (ELSA). Disability was measured in terms of impaired activities and instrumental activities of daily living. We used discrete-time multistate life table models to estimate total life expectancy and life expectancy free of disability.

Results

Socioeconomic inequalities in disability-free life expectancy were of a similar magnitude (in absolute terms) in England and the United States. The socioeconomic disadvantage in disability-free life expectancy was largest for wealth, in both countries: people in the poorest group could expect to live seven to nine fewer years without disability than those in the richest group at the age of 50.

Conclusions

Inequalities in healthy life expectancy exist in both countries and are of similar magnitude. In both countries, efforts in reducing health inequalities should target people from disadvantaged socioeconomic groups.

Cross-national comparison of social isolation and mortality among older adults: A 10-year follow-up study in Japan and England

AIM

Existing evidence links social isolation with poor health. To examine differences in the mortality risk by social isolation, and in socio-economic correlates of social isolation, we analyzed large-scale cohort studies in Japan and England.

METHODS

Participants were drawn from the Japan Gerontological Evaluation Study (JAGES) and the English Longitudinal Study of Ageing (ELSA). We analyzed the 10-year mortality among 15 313 JAGES participants and 5124 ELSA respondents. Social isolation was measured by two scales, i.e., scoring the frequency of contact with close ties, and a composite measurement of social isolation risk. We calculated the population attributable fraction, and Cox regression models with multiple imputations were used to estimate hazard ratios (HRs) for mortality due to social isolation.

RESULTS

The proportion of those with contact frequency of less than once a month was 8.5% in JAGES and 1.3% in ELSA. Males, older people, those with poor self-rated health, and unmarried people were significantly associated with social isolation in both countries. Both scales showed that social isolation among older adults had a remarkably higher risk for premature death (less frequent contact with others in JAGES: hazard ratio [HR] = 1.18, 95% confidence interval [CI]: 1.05-1.33, in ELSA: HR = 1.27, 95% CI: 0.85-1.89; and high isolation risk score in JAGES: HR = 1.30, 95% CI: 1.12-1.50, in ELSA: HR = 2.05, 95% CI: 1.52-2.73). The population attributable fraction showed less frequent contact with close ties was attributed to about 18 000 premature deaths annually in Japan, in contrast with about 1800 in England.

CONCLUSIONS

Negative health impacts of social isolation were higher among older Japanese compared with those in England. Geriatr Gerontol Int 2021; 21: 209-214.

Trajectories of Walking Speed and Cause-Specific Mortality: Evidence From England

Decreased walking speed can predict adverse health-related outcomes such as falls and admissions to hospital. Experiencing fast decline in walking speed has also been associated with increased risk of ‘all-cause’ mortality. In this study, we investigate the links between walking speed trajectories and specific causes of death. We used data from the English Longitudinal Study of Ageing, a large nationally representative survey which collects information biennially on people aged 50 and over in England since 2002. The sample consisted of 4,112 respondents eligible for a walking speed test at baseline who had not died before 2006. Rate of change in walking speed was derived from growth curve models and categorised in three trajectories (slow, moderate, and fast decline). We used competing risk analysis to explore the relationships between these trajectories and mortality, and their interactions with baseline wealth. During a mean of 9.5 years of follow-up, 1543 participants (37%) died (639 from cardiovascula disease -CVD, 311 from respiratory disease -RD, and 593 from cancer). Results suggest a significant difference in mortality across walking speed trajectories (with increased risk of death among those with fast declines) for CVD and RD deaths (P<0.001), even after controlling for baseline characteristics. There was no significant difference for cancer deaths (p=0.44). Further stratified analyses suggested that fast decline was associated with higher CVD and RD mortality even among those with an initial fast walking speed (>1.22 m/s). Strategies to maintain motor performances in later life have the potential to preserve life.

Vision and Hearing Impairments in Relation to Disability-Free Life Expectancy in People From England and the United States

Both hearing and vision impairments are some of the most common deficits experienced by older adults. We examined the impact of self-reported vision and hearing impairments on disability-free life expectancy (DFLE). We used harmonized data from the Gateway to Global Aging Data from the US Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA). We used discrete-time multistate life table models to estimate disability-free life expectancy by sex, age and country. In both countries and at all ages either vision or hearing impairment was associated with shorter DFLE compared to those who reported no impairments. Reporting both vision and hearing impairments reduced DFLE. For example, at the age of 50, men and women with both vision and hearing impairments could expect to live up to 12 fewer years free from disability compared with men and women with no impairments, similar results were found in both countries.

Girls' transition to adulthood and their later life socioeconomic attainment: Findings from the English longitudinal study of ageing

Transitions to adulthood represent a sensitive period for setting young people into particular life course trajectories, and the nature of these transitions have varied more for girls, historically, than for boys. We aim to investigate the long-term significance of different transitions out of full-time education for socioeconomic attainment in later life amongst postwar young women in England. Our data are from the English Longitudinal Study of Ageing for girls born during World War II and the post-war period (1939-1952, n = 1798). Using sequence analysis, we identified six types of transition out of full-time education between ages 14 and 26: Early-Work, Mid-Work, Late-Work, Early-Domestic, Late-Domestic, and Part-time Mixed. We used linear and multinomial regression models to examine associations between transition types and socioeconomic attainment outcomes from age 50, including individual income, household income and wealth, and occupational class. Our study found that later transitions into employment (Mid-Work and Late-Work) were associated with higher socioeconomic attainment after age 50 compared with women who made early transitions from education to employment (Early-Work); much of the advantage of making later transitions to employment was due to higher educational attainment. We also found that early transitions to domestic work (Early-Domestic) set young women onto trajectories of lower socioeconomic attainment than compared with those who made early transitions to employment, suggesting the nature of the transition from full-time education is as important as the timing, perhaps uniquely for women. A pathway of cumulative advantage/disadvantage is also evident in our study; results suggest a partial mediating role for educational attainment in associations between childhood social class and later life socioeconomic attainment.

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

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.

Longitudinal associations between loneliness, social isolation and cardiovascular events

OBJECTIVE

This study aimed to examine the association between loneliness, social isolation and cardiovascular disease (CVD), looking at both self-reported CVD diagnosis and CVD-related hospital admissions.

METHODS

Data were derived from the English Longitudinal Study of Ageing linked with administrative hospital records and mortality registry data. The analytical sample size was 5850 for the analysis of self-reported CVD and 4587 of CVD derived from hospital records, with a follow-up up to 9.6 years. Data were analysed using survival analysis, accounting for competing risks events.

RESULTS

The mean age was 64 years (SD 8.3). About 44%-45% were men. Within the follow-up, 17% participants reported having newly diagnosed CVD and 16% had a CVD-related hospital admission. We found that loneliness was associated with an increased risk of CVD events independent of potential confounders and risk factors. The hazard of people with the highest level of loneliness was about 30% higher for onset CVD diagnosis (HR: 1.05, 95% CI: 1.01 to 1.09) and 48% higher for CVD-related hospital admissions (HR: 1.08, 95% CI: 1.03 to 1.14), compared with the least lonely. There was little evidence that social isolation was independently associated with the risk of either CVD diagnosis or admission.

CONCLUSIONS

Our findings provided strong evidence for the relationship between loneliness and cardiovascular events. Loneliness should be considered as a psychosocial risk factor for CVD in both research and interventions for cardiovascular prevention.

Association of inflammatory markers with hearing impairment: The English Longitudinal Study of Ageing

BACKGROUND

Hearing impairment is common at an older age and has considerable social, health and economic implications. With an increase in the ageing population, there is a need to identify modifiable risk factors for hearing impairment. A shared aetiology with cardiovascular disease (CVD) has been advanced as CVD risk factors (e.g. obesity, type 2 diabetes) are associated with a greater risk of hearing impairment. Moreover, low-grade inflammation is implicated in the aetiology of CVD. Accordingly, our aim was to investigate the association between several markers of inflammation - C-reactive protein, fibrinogen and white blood cell count - and hearing impairment.

METHODS

Participants of the English Longitudinal Study of Ageing aged 50-93 were included. Inflammatory marker data from both wave 4 (baseline, 2008/09) and wave 6 (2012/13) were averaged to measure systemic inflammation. Hearing acuity was measured with a simple handheld tone-producing device at follow-up (2014/15).

RESULTS

Among 4879 participants with a median age of 63 years at baseline, 1878 (38.4%) people presented hearing impairment at follow-up. All three biomarkers were positively and linearly associated with hearing impairment independent of age and sex. After further adjustment for covariates, including cardiovascular risk factors (smoking, physical activity, obesity, diabetes, hypertension, cholesterol), memory and depression, only the association with white blood cell count remained significant: odds ratio per log-unit increase; 95% confidence interval = 1.46; 1.11, 1.93.

CONCLUSIONS

While white blood cell count was positively associated with hearing impairment in older adults, no relationships were found for two other markers of low-grade inflammation.

POLYPHARMACY IN DIABETIC PEOPLE: EVIDENCE FROM THE ENGLISH LONGITUDINAL STUDY OF AGEING (ELSA)

Diabetes among older people is becoming more common worldwide, and usually accompanied by polypharmacy. However, the role of polypharmacy in older people with diabetes remains uncertain. A nationally representative cross-sectional study, ELSA 2012/2013, was used and 7729 participants aged 50-109 were investigated. Polypharmacy was defined as taking five to nine long-term used medications daily for chronic diseases or chronic symptoms, while using ten or more medications was excessive polypharmacy. The presence of illness was defined as either self-reported diagnosis or being prescribed specific medications for the condition. Data showed the prevalence of polypharmacy was 21.4%, and only 3% was excessive polypharmacy. 51.6% of diabetic people reported polypharmacy and 10.2% excessive polypharmacy. These rates were significantly higher than the 16.4% polypharmacy and 1.8% excessive polypharmacy among people without diabetes (p < 0.001). Among people with three or more comorbidities, polypharmacy was present in 61.5% of people with diabetes, compared with 36.0% in people without diabetes. Significant risk factors for polypharmacy were diabetes (Relative-risk ratios/RRR=4.06, 95% CI 3.38, 4.86), older age (RRR=1.02, 95% CI 1.01, 1.03), male (RRR=0.64, 95% CI 0.55, 0.75), more comorbidity (RRR=2.46, 95% CI 2.30, 2.62), living with a partner (RRR=1.20, 95% CI 1.01, 1.42), and less wealth (RRR=0.93, 95% CI 0.87, 0.98). However, age, cohabitation, and wealth were not significantly related to excessive polypharmacy. Diabetes and the number of comorbidities were predominant risk factors for excessive polypharmacy. Current evidences confirmed both health condition and socioeconomic status were associated with medication use in older adults.

Association of 10-Year C-Reactive Protein Trajectories With Markers of Healthy Aging: Findings From the English Longitudinal Study of Aging

Background

Elevated systematic inflammation is a hallmark of aging, but the association of long-term inflammation trajectories with subsequent aging phenotypes has been little examined. We assessed inflammatory marker C-reactive protein (CRP) repeatedly over time and examined whether long-term changes predicted aging outcomes.

Methods

A total of 2,437 men and women aged 47–87 years at baseline (1998–2001) who were participants in the English Longitudinal Study of Ageing had CRP measured on two or three occasions between 1998 and 2009. Inflammation trajectories were computed using latent-class growth mixture modeling and were related to aging outcomes measured in 2012/2013: physical functioning, cardiometabolic, respiratory, mental health, and a composite “healthy aging” outcome.

Results

Four CRP trajectories were identified as follows: “stable-low” (71 per cent of the sample) with baseline mean 1.33 mg/L remaining <3 mg/L; “medium-to-high” (14 per cent) with baseline 2.7 mg/L rising to 5.3 mg/L; “high-to-medium” (10 per cent) with baseline 6.6 mg/L decreasing to 2.4 mg/L; and “stable-high” (5 per cent) with levels from 5.7 to 7.5 mg/L. Relative to the stable-low trajectory, individuals in the medium-to-high had a higher risk of limitations in basic activities of daily living (ADL, odds ratio; 95% confidence interval: 2.09; 1.51, 2.88), instrumental ADL (1.62; 1.15, 2.30), impaired balance (1.59; 1.20, 2.11) and walking speed (1.61; 1.15, 2.24), arthritis (1.55; 1.16, 2.06), hypertension (1.57; 1.21, 2.04), obesity (1.95; 1.36, 2.80), poor respiratory function (1.84; 1.36, 2.50), and depression (1.55; 1.13, 2.12). A lower odds of healthy aging was observed in people in the medium-to-high (0.57; 0.40, 0.79) and stable-high (0.50; 0.27, 0.91) trajectories.

Conclusions

Older people who displayed an elevation in CRP levels over a decade experienced an increased risk of adverse aging outcomes.

Inequalities in time from stopping paid work to death: findings from the ONS Longitudinal Study, 2001-2011

BACKGROUND

UK state pension eligibility ages are linked to average life expectancy, which ignores wide socioeconomic disparities in both healthy and overall life expectancy.

OBJECTIVES

Investigate whether there are occupational social class differences in the amount of time older adults live after they stop work, and how much of these differences are due to health.

METHODS

Participants were 76 485 members of the Office for National Statistics Longitudinal Study (LS), who were 50-75 years at the 2001 census and had stopped work by the 2011 census. Over 10 years of follow-up, we used censored linear regression to estimate mean differences in years between stopping work and death by occupational social class.

RESULTS

After adjustment for age, both social class and health were independent predictors of postwork duration (mean difference (95% CI): unskilled class vs professional: 2.7 years (2.4 to 3.1); not good vs good health: 2.4 years (1.9 to 2.9)), with LS members in the three manual classes experiencing ~1 additional year of postwork duration than professional workers (interaction p values all <0.001). Further adjustment for gender and educational qualifications was reduced but did not eliminate social class and postwork duration associations. We estimate the difference in postwork years between professional classes in good health and unskilled workers not in good health as 5.1 years for women (21.0 vs 26.1) and 5.5 years for men (19.5 vs 25.0).

CONCLUSIONS

Lower social class groups are negatively affected by uniform state pension ages, because they are more likely to stop work at younger ages due to health reasons.

Socioeconomic differences in healthy and disease-free life expectancy between ages 50 and 75: a multi-cohort study

Background

There are striking socioeconomic differences in life expectancy, but less is known about inequalities in healthy life expectancy and disease-free life expectancy. We estimated socioeconomic differences in health expectancies in four studies in England, Finland, France and Sweden.

Methods

We estimated socioeconomic differences in health expectancies using data drawn from repeated waves of the four cohorts for two indicators: (i) self-rated health and (ii) chronic diseases (cardiovascular, cancer, respiratory and diabetes). Socioeconomic position was measured by occupational position. Multistate life table models were used to estimate healthy and chronic disease-free life expectancy from ages 50 to 75.

Results

In all cohorts, we found inequalities in healthy life expectancy according to socioeconomic position. In England, both women and men in the higher positions could expect 82–83% of their life between ages 50 and 75 to be in good health compared to 68% for those in lower positions. The figures were 75% compared to 47–50% for Finland; 85–87% compared to 77–79% for France and 80–83% compared to 72–75% for Sweden. Those in higher occupational positions could expect more years in good health (2.1–6.8 years) and without chronic diseases (0.5–2.3 years) from ages 50 to 75.

Conclusion

There are inequalities in healthy life expectancy between ages 50 and 75 according to occupational position. These results suggest that reducing socioeconomic inequalities would make an important contribution to extending healthy life expectancy and disease-free life expectancy.

Late Life Employment Histories and Their Association With Work and Family Formation During Adulthood: A Sequence Analysis Based on ELSA

Objectives

To extend research on workforce participation beyond age 50 by describing entire employment histories in later life and testing their links to prior life course conditions.

Methods

We use data from the English Longitudinal Study of Ageing, with retrospective information on employment histories between age 50 and 70 for 1,103 men and 1,195 women (n = 2,298). We apply sequence analysis and group respondents into eight clusters with similar histories. Using multinomial regressions, we then test their links to labor market participation, partnership, and parenthood histories during early (age 20–34) and mid-adulthood (age 35–49).

Results

Three clusters include histories dominated by full-time employees but with varying age of retirement (before, at, and after age 60). One cluster is dominated by self-employment with comparatively later retirement. Remaining clusters include part-time work (retirement around age 60 or no retirement), continuous domestic work (mostly women), or other forms of nonemployment. Those who had strong attachments to the labor market during adulthood are more likely to have histories of full-time work up until and beyond age 60, especially men. Parenthood in early adulthood is related to later retirement (for men only). Continued domestic work was not linked to parenthood. Partnered women tend to work part-time or do domestic work. The findings remain consistent after adjusting for birth cohort, childhood adversity, life course health, and occupational position.

Discussion

Policies aimed at increasing the proportion of older workers not only need to address later stages of the life course but also early and mid-adulthood.

Association Between Subjective Well-being and Living Longer Without Disability or Illness

IMPORTANCE

Subjective well-being is associated with reduced mortality, but it is not clear whether additional time is spent in good health or with chronic disease and disability.

OBJECTIVE

To evaluate the associations between affective well-being, total life expectancy, and life expectancy free of disability and chronic disease.

DESIGN, SETTING, AND PARTICIPANTS

This survey study used data on 9761 participants from the English Longitudinal Study of Ageing who were followed up for a maximum of 10 years (mean [SD] follow-up, 6 [3.7] years). Discrete-time multistate life table models were used to estimate total life expectancy and life expectancy free of disability or chronic disease. Data were collected between March 2002 and March 2013 and analyzed from December 2018 to April 2019. Analyses were adjusted for wealth and cohabiting status.

MAIN OUTCOMES AND MEASURES

The main outcome was life expectancy free of disability and chronic disease. Affective well-being was assessed at baseline as a combination of enjoyment of life and the lack of significant depressive symptoms. Disability was measured in terms of impaired activities of daily living and instrumental activities of daily living, and chronic disease as the occurrence of 6 serious illnesses.

RESULTS

Data were analyzed from 9761 participants (5297 [54%] female; mean [SD] age at baseline, 64 [9.9] years). High affective well-being was associated with longer life expectancy and with longer disability-free and chronic disease-free life expectancies. For example, a woman aged 50 years who reported high affective well-being could expect to live 6 years longer than a woman of similar age with low well-being; 31.4 of her remaining years (95% CI, 30.5-31.9 years) would be likely to be free of disability, compared with 20.8 years (95% CI, 20.1-22.1 years) for a woman with low affective well-being. A man aged 50 years with high affective well-being could expect to live 20.8 years (95% CI, 18.7-22.4 years) without chronic disease, compared with 11.4 years (95% CI, 8.5-14.6 years) for a man reporting low well-being. Similar patterns were observed at the ages of 60, 70, and 80 years.

CONCLUSIONS AND RELEVANCE

This study suggests that people who report high levels of subjective well-being live longer and also healthier lives than those with lower well-being. These findings add weight to endeavors to promote the subjective well-being of older people.

Health-related quality of life and prevalence of six chronic diseases in homeless and housed people: a cross-sectional study in London and Birmingham, England

OBJECTIVES

To compare health-related quality of life and prevalence of chronic diseases in housed and homeless populations.

DESIGN

Cross-sectional survey with an age-matched and sex-matched housed comparison group.

SETTING

Hostels, day centres and soup runs in London and Birmingham, England.

PARTICIPANTS

Homeless participants were either sleeping rough or living in hostels and had a history of sleeping rough. The comparison group was drawn from the Health Survey for England. The study included 1336 homeless and 13 360 housed participants.

OUTCOME MEASURES

Chronic diseases were self-reported asthma, chronic obstructive pulmonary disease (COPD), epilepsy, heart problems, stroke and diabetes. Health-related quality of life was measured using EQ-5D-3L.

RESULTS

Housed participants in more deprived neighbourhoods were more likely to report disease. Homeless participants were substantially more likely than housed participants in the most deprived quintile to report all diseases except diabetes (which had similar prevalence in homeless participants and the most deprived housed group). For example, the prevalence of chronic obstructive pulmonary disease was 1.1% (95% CI 0.7% to 1.6%) in the least deprived housed quintile; 2.0% (95% CI 1.5% to 2.6%) in the most deprived housed quintile; and 14.0% (95% CI 12.2% to 16.0%) in the homeless group. Social gradients were also seen for problems in each EQ-5D-3L domain in the housed population, but homeless participants had similar likelihood of reporting problems as the most deprived housed group. The exception was problems related to anxiety, which were substantially more common in homeless people than any of the housed groups.

CONCLUSIONS

While differences in health between housed socioeconomic groups can be described as a 'slope', differences in health between housed and homeless people are better understood as a 'cliff'.

Socioeconomic trajectories of body mass index and waist circumference: results from the English Longitudinal Study of Ageing

OBJECTIVES

To explore age trajectories of body mass index (BMI) and waist circumference (WC) and to examine whether these trajectories varied by wealth.

DESIGN

Nationally representative prospective cohort study.

SETTING

Observational study of people living in England.

PARTICIPANTS

7416 participants aged 52 and over of the English Longitudinal Study of Ageing (2004-2012).

PRIMARY OUTCOME MEASURES

BMI and WC assessed objectively by a trained nurse.

MAIN EXPOSURE MEASURE

Total non-pension household wealth quintiles defined as financial wealth, physical wealth (such as business wealth, land or jewels) and housing wealth (primary and secondary residential housing wealth), minus debts.

RESULTS

Using latent growth curve models, we showed that BMI increased by 0.03 kg/m² (95% CI 0.02 to 0.04, p<0.001) per year and WC by 0.18 cm (95% CI 0.15 to 0.22, p<0.001). Age (linear and quadratic) showed a negative association with BMI and WC baseline and rates of change, indicating that older individuals had smaller body sizes and that the positive rates of change flattened to eventually become negative. The decline occurred around the age of 71 years for BMI and 80 years for WC. Poorest wealth was significantly related to higher baseline levels of BMI (1.97 kg/m² 95% CI 0.99 to 1.55, p<0.001) and WC (4.66 cm 95% CI 3.68 to 2.40, p<0.001). However, no significant difference was found in the rate of change of BMI and WC by wealth, meaning that the age trajectories of BMI and WC were parallel across wealth categories and that the socioeconomic gap did not close at older ages.

CONCLUSIONS

Older English adults showed an increase in BMI and WC over time but this trend reversed at older old age to display a sharp decrease. At any given age wealthier people had more favourable BMI and WC profile.

Linking local labour market conditions across the life course to retirement age: Pathways of health, employment status, occupational class and educational achievement, using 60 years of the 1946 British Birth Cohort

Several studies have documented that older workers who live in areas with higher unemployment rates are more likely to leave work for health and non-health reasons. Due to tracking of area disadvantage over the life course, and because negative individual health and socioeconomic factors are more likely to develop in individuals from disadvantaged areas, we do not know at what specific ages, and through which specific pathways, area unemployment may be influencing retirement age. Using data from the MRC National Survey of Health and Development, we use structural equation modelling to investigate pathways linking local authority unemployment at three ages (4y, 26y and 53y) to age of retirement (right-censored). We explored five hypothesized pathways: (1) residential tracking, (2) health, (3) employment status, (4) occupational class, and (5) education. Initially, pathways between life course area unemployment, each pathway and retirement age were assessed individually. Mediation pathways were tested in the full model. Our results showed that area unemployment tracked across the life course. Higher area unemployment at ages 4 and 53 were independently associated with earlier retirement age [1% increase = mean -0.64 (95% CI: -1.12, -0.16) and -0.25 (95% CI: -0.43, -0.06) years]. Both were explained by adjustment for individual employment status at ages 26 and 53 years. Higher area unemployment at age 26 was associated with poorer health and lower likelihood of employment at aged 53; and these 2 individual pathways were identified as the key mediators between area unemployment and retirement age. In conclusion, these results suggest that interventions designed to create local employment opportunities for young adults should lead to extended working through improved employment and health at mid-life.

Gender differences and individual, household, and workplace characteristics: Regional geographies of extended working lives

Increasing labour market participation among older workers is embedded in government policy in the United Kingdom and many other industrialised countries with rises in the state pension age in response to increasing life expectancy. Despite this, many workers stop working before state pension age with around a 20% reduction in the proportion of adults in work between ages 50 and 60 in 2011 in England and Wales. This paper considers the risk of remaining in work by region and gender between 2001 and 2011 for adults aged 40-49 in 2001. Men had significantly higher risk of extended working in the East Midlands (1.4×) East of England (1.5×), South East (1.6×), and South West (1.6×) compared with the North East. Women in all regions apart from London and Wales had significantly higher risk of extended working compared with the North East: ranging from 1.15 times in the North West and West Midlands to 1.6 times in the South West. Adjustment for nonemployment-related socio-economic status, housing tenure, qualifications, and car ownership, and employment status in 2001 attenuated all significant regional differences in extended working in men and in women in most regions. Workplace characteristics attenuated most of the remaining regional differences in women: women working in larger employers in 2001 or working at distances of 200 km or more, abroad or from home, had lower risk of remaining in work, whereas access to a car and higher working hours increased risk. Policies to increase qualifications and skills among older adults are recommended.

Are subjective memory complaints indicative of objective cognitive decline or depressive symptoms? Findings from the English Longitudinal Study of Ageing

Older adults often complain about their memory ability, but it is not clear to what extent subjective memory complaints accurately reflect objective cognitive dysfunctions. The concordance between objective and subjective cognitive performance may be affected by depressive symptoms and by declining insight into cognitive deficits. This study aims to examine longitudinal associations between subjective memory complaints, objective cognitive performance and depressive symptoms. 11,092 participants aged 50 years and above from the English Longitudinal Study of Ageing were followed-up every 2 years over a 6-year period. Two processes latent growth curve models (LGCM) examined associations between levels and changes in several cognitive abilities and subjective memory complaints, unadjusted for depression symptoms. Then three processes LGCM examined associations between levels and changes in depressive symptoms, subjective memory complaints and objective cognitive abilities in the overall sample, and separately among persons with mild cognitive impairment at baseline. More subjective memory complaints were associated with poorer performance in all cognitive domains at baseline. Steeper decline in immediate recall, verbal fluency and processing speed performance was associated increasing subjective memory complaints both in the overall sample and among persons with mild cognitive impairment. Increasing depressive symptoms were associated with both objective and subjective cognitive decline in the overall sample, and only with subjective memory decline among cognitively impaired persons. Self-reported memory complaints may have the potential to identify decline in objective cognitive performance that cannot be explained by depressive symptoms. Among cognitively impaired persons depressive symptoms may amplify subjective but not objective cognitive decline.

Socio-economic trajectories and cardiovascular disease mortality in older people: the English Longitudinal Study of Ageing

Background

Socio-economic status from early life has been linked to cardiovascular disease risk, but the impact of life-course socio-economic trajectories, as well as the mechanisms underlying social inequalities in cardiovascular disease risk, is uncertain.

Objectives

We assessed the role of behavioural, psychosocial and physiological (including inflammatory) factors in the association between life-course socio-economic status and cardiovascular disease mortality in older adults.

Methods

Participants were 7846 individuals (44% women) from the English Longitudinal Study of Ageing, a representative study of individuals aged ≥ 50 years, established in 2002-03. Comprising four indicators of socio-economic status (father's social class, own education, occupational position and wealth), we computed an index of socio-economic trajectory and a lifetime cumulative socio-economic score. Behavioural (smoking, physical activity, alcohol consumption, body mass index) and psychosocial (social relations, loneliness) factors, physiological (blood pressure, total cholesterol, triglycerides) and inflammatory markers (C-reactive protein, fibrinogen), measured repeatedly over time, were potential explanatory variables. Cardiovascular disease mortality was ascertained by linkage of study members to a national mortality register. Mediation was calculated using the traditional 'change-in-estimate method' and alternative approaches such as counterfactual mediation modelling could not be applied in this context.

Results

During the 8.4-year follow-up, 1301 study members died (438 from cardiovascular disease). A stable low-social-class trajectory was associated with around double the risk of cardiovascular disease mortality (hazard ratio; 95% confidence interval: 1.94, 1.37; 2.75) compared with a stable high social class across the life course. Individuals in the lowest relative to the highest life-course cumulative socio-economic status group were also more than twice as likely to die of cardiovascular disease (2.57, 1.81; 3.65). Behavioural factors and inflammatory markers contributed most to explaining this gradient, whereas the role of psychosocial and other physiological risk factors was modest.

Conclusions

In a population-based cohort of older individuals living in England, we provide evidence that disadvantage across the life course is linked to cardiovascular mortality. That behavioural factors and inflammatory markers partially explain this gradient may provide insights into the potential for intervention.