[PDF] Top 20 Diagnosis-specific sickness absence and all-cause mortality in the GAZEL study.
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Diagnosis-specific sickness absence and all-cause mortality in the GAZEL study.
... with mortality after adjustment for other absences were; neoplasm in both sexes, endocrine diseases in women, and skin diseases in ...men. The commonest cause of early ... Voir le document complet
10
All-cause and diagnosis-specific sickness absence as a predictor of sustained suboptimal health: a 14-year follow-up in the GAZEL cohort.
... over the subsequent fourteen years, irrespective of prevalent and emerging chronic disease, is ...important. In spite of the subjective component in sickness absence ... Voir le document complet
28
Does sickness absence due to psychiatric disorder predict cause-specific mortality? A 16-year follow-up of the GAZEL occupational cohort study.
... Our study was based on all GAZEL participants who were alive and actively working on January 1, 1990 (n ¼ ...of the study participants ...on mortality and ... Voir le document complet
9
Work and family demands: predictors of all-cause sickness absence in the GAZEL cohort.
... This study was conducted among French employees with high job security, stable income and benefits, as well as multiple state-administered programmes and laws to protect workers ...predict ... Voir le document complet
12
Does personality predict mortality? Results from the GAZEL French prospective cohort study.
... with all-cause mortality could reflect its association with other categories of mortality, such as “ ” external causes and marginally, CVD ...angry and resentful interpersonal ... Voir le document complet
15
Diagnosis-specific sick leave as a long-term predictor of disability pension: a 13-year follow-up of the GAZEL cohort study.
... are in line with those of the largest study on this topic to date, the population- based cohort study of all 176,629 persons of working age living in a Swedish ...[9] ... Voir le document complet
16
Does personality explain social inequalities in mortality? The French GAZEL cohort study.
... For all-cause mortality in women, the attenuation was 11 at ...best. In both genders, strong associations with mortality remained for all % measures of SEP after ... Voir le document complet
15
Differences in the association between sickness absence and long-term sub-optimal health by occupational position: a 14-year follow-up in the GAZEL cohort.
... Sickness absence has lately been shown to be a strong risk marker for future health outcomes, such as early retirement on medical grounds and ...recent study showed a remarkably persistent ... Voir le document complet
20
Cohort profile: the GAZEL Cohort Study.
... ARE THE STRENGTHS AND WEAKNESSES ? We believe that the main strengths of the GAZEL Cohort Study are: (1) the diversity of the sample population in terms of ... Voir le document complet
16
Hostility May Explain the Association between Depressive Mood and Mortality: Evidence from the French GAZEL Cohort Study.
... our study did not cover all personality constructs. Second, the GAZEL cohort is not representative of the general population as it does not include unemployed ...instance, the ... Voir le document complet
11
Cause‐specific mortality after diagnosis of cancer among HIV‐positive patients: A collaborative analysis of cohort studies
... group and specific cancer, we used Poisson models to estimate mortality rates from all causes, AIDS, ADMs, NADMs, other causes (not cancer), and unclassifiable/ unknown causes during the ... Voir le document complet
14
The association between self-rated health and mortality in different socioeconomic groups in the GAZEL cohort study.
... that the discrepancy in results is due to cultural differences in the social patterning of SRH; European comparisons show similar social inequalities in self-rated health in ... Voir le document complet
11
Testosterone and All-Cause Mortality in Older Men: The Role of Metabolic Syndrome
... estimate the impact of each MetS component as potential modifiers of the association between testosterone and mortality, we conducted separate analyses among men with MetS by defining ... Voir le document complet
15
Predictors of respiratory sickness absence: an international population-based study.
... present study is an analysis of data from the European Community Respiratory Health Survey (ECRHS) II, a follow-up study cohort derived from a population-based, multinational survey of adults aged ... Voir le document complet
21
Quickscan assesses risk factors of long-term sickness absence: A cross-sectional (factorial) construct validation study.
... long-term sickness absence is a prognostic marker of future absence from work, early retirement due to ill health problems and mortality [ 3 ...Long-term sickness absence ... Voir le document complet
14
The mental health effects of multiple work and family demands : A prospective study of psychiatric sickness absence in the French GAZEL study.
... sociodemographic and health characteristics that are potentially associated with the occurrence of psychiatric sickness absence: age (men: 45-49, 50-54, 55-56, women: 42-44, 45-49, 50-54, 55- ... Voir le document complet
26
Risks for All-Cause Mortality: Stratified by Age, Estimated Glomerular Filtration Rate and Albuminuria.
... risks and abso- lute risks for all-cause mortality among adults stratified by eGFR, ACR, and demographic ...for all-cause mortality for older individuals com- pared ... Voir le document complet
6
Sleep Disturbances and Cause-Specific Mortality: Results From the GAZEL Cohort Study.
... present study differentiates itself from previous studies on sleep and mortality by including a relatively young cohort of women and men (36 to 52 years at ...baseline). In a previous ... Voir le document complet
25
Social inequalities in mortality by cause among men and women in France.
... why the pattern of cardiovascular mortality differs from that of cancer mortality and all-cause ...mortality. In mortality studies, it is difficult to ... Voir le document complet
11
Cause-specific mortality time series analysis: a general method to detect and correct for abrupt data production changes
... analysis The time series analysis method consists of looking for sustainable jumps, evaluating their statistical signifi- cance and amplitude, and possibly smoothing the time series by ... Voir le document complet
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