BACKGROUND: facing the costs of population ageing, many governments aim to keep older people in employment for longer. Summary health measures predict early retirement, but more specific symptoms and conditions need to be identified to guide efforts to delay retirement. OBJECTIVE: to identify common symptoms and conditions that predict early work exit, at the population level. DESIGN: cohort study of community dwelling respondents to the English Longitudinal Study of Ageing. SETTING AND PARTICIPANTS: a total of 1,693 workers aged 50 and over at baseline who were younger than the contemporaneous retirement age (60 for women, 65 for men) at 4-year follow-up. RESULTS: a total of 308 (18.2%) individuals moved out of employment during the follow-up period. Advancing age, female gender, partner retirement, greater pension wealth, high alcohol consumption and fair or poor self-rated health were all associated with work exit. Accounting for these factors, reported difficulty walking a quarter mile was predictive of early work exit (odds ratio (OR) = 2.23; 95% confidence interval (CI) 1.42-3.52), especially where symptoms included lower limb pain and/or shortness of breath. Symptomatic depression (measured by Centre for Epidemiological Studies Depression scale) was also predictive of early work exit (OR = 1.52, CI 1.07, 2.18). About 50.8% of early retirees reported one or more of these specific health symptoms (depression, general pain, mobility limitations and leg pain when walking). CONCLUSION: older workers who report depressive symptoms or impaired physical mobility, especially with lower limb pain and shortness of breath, are at increased risk of early transition out of work. Health interventions targeting these conditions may enable older workers to remain in the labour force.

BACKGROUND: Bisphenol a (BPA) is a high production volume chemical widely used in food and drinks packaging. Associations have previously been reported between urinary BPA concentrations and heart disease, diabetes and liver enzymes in adult participants of the National Health and Nutrition Examination Survey (NHANES) 2003/04. We aimed to estimate associations between urinary BPA concentrations and health measures in NHANES 2005/06 and in data pooled across collection years. METHODOLOGY AND FINDINGS: a cross-sectional analysis of NHANES: subjects were n = 1455 (2003/04) and n = 1493 (2005/06) adults aged 18-74 years, representative of the general adult population of the United States. Regression models were adjusted for age, sex, race/ethnicity, education, income, smoking, BMI, waist circumference, and urinary creatinine concentration. Main outcomes were reported diagnoses of heart attack, coronary heart disease, angina and diabetes and serum liver enzyme levels. Urinary BPA concentrations in 2005/06 (geometric mean 1.79 ng/ml, 95% CI: 1.64 to 1.96) were lower than in 2003/04 (2.49 ng/ml, CI: 2.20 to 2.83, difference p-value = 0.00002). Higher BPA concentrations were associated with coronary heart disease in 2005/06 (OR per z-score increase in BPA = 1.33, 95%CI: 1.01 to 1.75, p = 0.043) and in pooled data (OR = 1.42, CI: 1.17 to 1.72, p = 0.001). Associations with diabetes did not reach significance in 2005/06, but pooled estimates remained significant (OR = 1.24, CI: 1.10 to 1.40, p = 0.001). There was no overall association with gamma glutamyl transferase concentrations, but pooled associations with alkaline phosphatase and lactate dehydrogenase remained significant. CONCLUSIONS: Higher BPA exposure, reflected in higher urinary concentrations of BPA, is consistently associated with reported heart disease in the general adult population of the USA. Studies to clarify the mechanisms of these associations are urgently needed.

BACKGROUND: the baby-boom generation is entering retirement. Having experienced unprecedented prosperity and improved medical technology, they should be the healthiest generation ever. METHODS: We compared prevalence of disease and risk factors at ages 50-61 years in baby boomers with the preceding generation and attributed differences to period or cohort effects. Data were from the Health Survey for England (HSE) from 1994 to 2007 (n = 48,563). Logistic regression models compared health status between birth cohorts. Age-period-cohort models identified cohort and period effects separately. RESULTS: Compared to the wartime generation, the baby-boomer group was heavier (3.02 kg; 95% confidence interval [CI], 2.42-3.63; p < 0.001) and reported more diagnoses of hypertension (odds ratio [OR] = 1.48; CI, 1.27-1.72; p < 0.001), diabetes (OR = 1.71; CI, 1.37-2.12; p < 0.001), and mental illness (OR = 1.90; CI, 1.54-2.53; p < 0.001). Baby boomers reported fewer heart attacks (OR = 0.61; CI, 0.47-0.79; p < 0.001) and had lower measured blood pressures (systolic -9.51 mmHg; CI, -8.7 to -10.31; p

BACKGROUND: the human paraoxonase (PON1) protein detoxifies certain organophosphates, and the PON1 Q192R polymorphism (rs662) affects PON1 activity. Groups with higher dose exposure to organophosphate sheep dips or first Gulf War nerve toxins reported poorer health if they had 192R, and these associations have been used to exemplify Mendelian randomization analysis. However, a reported association of 192R with depression in a population-based study of older women recently cast doubt on the specificity of the higher dose findings. We aimed to examine associations between the PON1 Q192R polymorphism and self-reported poor health and depression in two independent population-based studies. METHODS: We used logistic regression models to examine the associations in men and women aged 60-79 years from the English Longitudinal Study of Ageing (ELSA, n = 3158) and InCHIANTI (n = 761) population studies. Outcomes included the Center for Epidemiologic Studies Depression (CES-D) scale, self-rated general health status and (in ELSA only) diagnoses of depression. RESULTS: the PON1 Q192R polymorphism was not associated with self-reported poor health {meta-analysis: odds ratio (OR) = 1.01 [confidence interval (CI) 0.91-1.13], P = 0.80} or depressive symptoms in either study or in meta-analyses [CES-D: OR = 1.01 (CI 0.87-1.17), P = 0.90]. There was also no association with histories of diagnosed depression in ELSA [OR = 1.03 (CI 0.82-1.30), P = 0.80]. CONCLUSIONS: We found no evidence of an association between the PON1 Q192R polymorphism and poor general or mental health in two independent population-based studies. Neither the claimed Q192R association with depression in the general population nor its theoretical implications were supported.

BACKGROUND: Transitions such as retirement may represent points at which changes in health behaviour occur. OBJECTIVE: to assess whether transition into retirement is associated with increased rates of smoking cessation. DESIGN: Population-based prospective cohort study in England. SETTING AND PARTICIPANTS: One thousand seven hundred and twelve smokers aged 50 years and over, followed up for 5 to 6 years. MEASUREMENTS: Work status (working/retired) and smoking status (non-smoker/smoker) at baseline and follow-up. RESULTS: at baseline, 381 (22.2%) of our respondents had retired, 444 (25.9%) were working and remained in work at follow-up, and 167 (9.8%) transitioned from work to retirement. Seven hundred and twenty (42.1%) had some other status (e.g. unpaid work/unemployment). A total of 42.5% (95% CI 34.9-50.1) of those who retired quit smoking; for those remaining in employment this figure was 29.3% (95% CI 25.0-33.6), and for those already retired it was 30.2% (95% CI 25.5-34.9). In adjusted regression analyses, those aged 55-70 who retired were more than twice as likely (fully adjusted odds ratio 2.50 (95% CI 1.35-4.62)) to quit smoking as those who continued to work. Results were robust when those who retired for reasons of ill-health were excluded. CONCLUSIONS: Our results suggest individuals who undergo the transition into retirement are more likely to quit smoking than those who do not. Interventions should be developed to specifically target those who are retiring, or soon to retire, and those who are due to retire should be helped to incorporate smoking cessation into their retirement planning.