Midlife Risk Factors for Impaired Physical and Cognitive Functioning at Older Ages: A Cohort Study
In: The journals of gerontology. Series A, Biological sciences, medical sciences, Band 72, Heft 2, S. 237-242
ISSN: 1758-535X
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In: The journals of gerontology. Series A, Biological sciences, medical sciences, Band 72, Heft 2, S. 237-242
ISSN: 1758-535X
In: Twin research and human genetics: the official journal of the International Society for Twin Studies (ISTS) and the Human Genetics Society of Australasia, Band 19, Heft 4, S. 306-311
ISSN: 1839-2628
Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n= 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS;n= 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.
International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
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International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
BASE
International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
BASE
International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
BASE
International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
BASE
International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
BASE
International audience ; This study examined the association between long working hours and cognitive function in middle age. Data were collected in 1997-1999 (baseline) and 2002-2004 (follow-up) from a prospective study of 2,214 British civil servants who were in full-time employment at baseline and had data on cognitive tests and covariates. A battery of cognitive tests (short-term memory, Alice Heim 4-I, Mill Hill vocabulary, phonemic fluency, and semantic fluency) were measured at baseline and at follow-up. Compared with working 40 hours per week at most, working more than 55 hours per week was associated with lower scores in the vocabulary test at both baseline and follow-up. Long working hours also predicted decline in performance on the reasoning test (Alice Heim 4-I). Similar results were obtained by using working hours as a continuous variable; the associations between working hours and cognitive function were robust to adjustments for several potential confounding factors including age, sex, marital status, education, occupation, income, physical diseases, psychosocial factors, sleep disturbances, and health risk behaviors. This study shows that long working hours may have a negative effect on cognitive performance in middle age.
BASE
Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (>= 65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2.5th and 97.5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45.8 (95% uncertainty interval 44.2-47.5) in 1990 to 60.3 (58.7-61.9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2.6% [1.9-3.3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0.79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388.9 million (358.6-421.3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3.1 billion (3.0-3.2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968.1 million [903.5-1040.3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd. ; Peer reviewed
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In: Work, aging and retirement, Band 8, Heft 3, S. 273-281
ISSN: 2054-4650
Abstract
The extent to which long-term individual-oriented flexibility in working hours is associated with working beyond retirement age is not known. The aims of the present study were to identify trajectories of worktime control (WTC) and to examine whether the membership of WTC trajectories was associated with working beyond individual's pensionable age. A total of 1,953 older employees participated in the study and had data up to 16 years before pensionable age. Group-based latent trajectory modeling was used to identify WTC trajectories and Cox proportional hazard regression models were used to examine the associations of WTC trajectories with duration of employment. Seven trajectories described WTC: "Stable very low" (7%), "Stable low" (21%), "Declined" (12%), "Stable mid-low" (28%), "Improved" (10%), "Stable high" (16%), and "Stable very high" (5%). When compared with the lowest WTC trajectory groups, trajectories of "Stable high/very high" (hazard ratio [HR] 1.34, 95% confidence interval [CI] 1.17–1.54) and "Improved" WTC (HR 1.49, 95% CI 1.25–1.78) were associated with longer duration of employment. Although the memberships of the "Stable high/very high" and "Improved" WTC trajectories correlated with gender, marital status, occupational position, and self-rated health, the association between WTC and duration of employment was not fully confounded or mediated by these factors. These findings support the hypothesis that having improved or constantly high control over working times from midlife to retirement age may prolong working lives at retirement age.
International audience ; A promising hypertension risk prediction score using data from the US Framingham Offspring Study has been developed, but this score has not been tested in other cohorts. We examined the predictive performance of the Framingham hypertension risk score in a European population, the Whitehall II Study. Participants were 6704 London-based civil servants aged 35 to 68 years, 31% women, free from prevalent hypertension, diabetes mellitus, and coronary heart disease. Standard clinical examinations of blood pressure, weight and height, current cigarette smoking, and parental history of hypertension were undertaken every 5 years for a total of 4 times. We recorded a total of 2043 incident (new-onset) cases of hypertension in three 5-year baseline follow-up data cycles. Both discrimination (C statistic: 0.80) and calibration (Hosmer-Lemeshow chi(2): 11.5) of the Framingham hypertension risk score were good. Agreement between the predicted and observed hypertension incidences was excellent across the risk score distribution. The overall predicted:observed ratio was 1.08, slightly better among individuals >50 years of age (0.99 in men and 1.02 in women) than in younger participants (1.16 in men and 1.18 in women). Reclassification with a modified score on the basis of our study population did not improve the prediction (net reclassification improvement: -0.5%; 95% CI: -2.5% to 1.5%). These data suggest that the Framingham hypertension risk score provides a valid tool with which to estimate near-term risk of developing hypertension.
BASE
International audience ; A promising hypertension risk prediction score using data from the US Framingham Offspring Study has been developed, but this score has not been tested in other cohorts. We examined the predictive performance of the Framingham hypertension risk score in a European population, the Whitehall II Study. Participants were 6704 London-based civil servants aged 35 to 68 years, 31% women, free from prevalent hypertension, diabetes mellitus, and coronary heart disease. Standard clinical examinations of blood pressure, weight and height, current cigarette smoking, and parental history of hypertension were undertaken every 5 years for a total of 4 times. We recorded a total of 2043 incident (new-onset) cases of hypertension in three 5-year baseline follow-up data cycles. Both discrimination (C statistic: 0.80) and calibration (Hosmer-Lemeshow chi(2): 11.5) of the Framingham hypertension risk score were good. Agreement between the predicted and observed hypertension incidences was excellent across the risk score distribution. The overall predicted:observed ratio was 1.08, slightly better among individuals >50 years of age (0.99 in men and 1.02 in women) than in younger participants (1.16 in men and 1.18 in women). Reclassification with a modified score on the basis of our study population did not improve the prediction (net reclassification improvement: -0.5%; 95% CI: -2.5% to 1.5%). These data suggest that the Framingham hypertension risk score provides a valid tool with which to estimate near-term risk of developing hypertension.
BASE
International audience ; A promising hypertension risk prediction score using data from the US Framingham Offspring Study has been developed, but this score has not been tested in other cohorts. We examined the predictive performance of the Framingham hypertension risk score in a European population, the Whitehall II Study. Participants were 6704 London-based civil servants aged 35 to 68 years, 31% women, free from prevalent hypertension, diabetes mellitus, and coronary heart disease. Standard clinical examinations of blood pressure, weight and height, current cigarette smoking, and parental history of hypertension were undertaken every 5 years for a total of 4 times. We recorded a total of 2043 incident (new-onset) cases of hypertension in three 5-year baseline follow-up data cycles. Both discrimination (C statistic: 0.80) and calibration (Hosmer-Lemeshow chi(2): 11.5) of the Framingham hypertension risk score were good. Agreement between the predicted and observed hypertension incidences was excellent across the risk score distribution. The overall predicted:observed ratio was 1.08, slightly better among individuals >50 years of age (0.99 in men and 1.02 in women) than in younger participants (1.16 in men and 1.18 in women). Reclassification with a modified score on the basis of our study population did not improve the prediction (net reclassification improvement: -0.5%; 95% CI: -2.5% to 1.5%). These data suggest that the Framingham hypertension risk score provides a valid tool with which to estimate near-term risk of developing hypertension.
BASE
International audience ; A promising hypertension risk prediction score using data from the US Framingham Offspring Study has been developed, but this score has not been tested in other cohorts. We examined the predictive performance of the Framingham hypertension risk score in a European population, the Whitehall II Study. Participants were 6704 London-based civil servants aged 35 to 68 years, 31% women, free from prevalent hypertension, diabetes mellitus, and coronary heart disease. Standard clinical examinations of blood pressure, weight and height, current cigarette smoking, and parental history of hypertension were undertaken every 5 years for a total of 4 times. We recorded a total of 2043 incident (new-onset) cases of hypertension in three 5-year baseline follow-up data cycles. Both discrimination (C statistic: 0.80) and calibration (Hosmer-Lemeshow chi(2): 11.5) of the Framingham hypertension risk score were good. Agreement between the predicted and observed hypertension incidences was excellent across the risk score distribution. The overall predicted:observed ratio was 1.08, slightly better among individuals >50 years of age (0.99 in men and 1.02 in women) than in younger participants (1.16 in men and 1.18 in women). Reclassification with a modified score on the basis of our study population did not improve the prediction (net reclassification improvement: -0.5%; 95% CI: -2.5% to 1.5%). These data suggest that the Framingham hypertension risk score provides a valid tool with which to estimate near-term risk of developing hypertension.
BASE