Socioeconomic, demographic, occupational, and health factors associated with participation in a long-term epidemiologic survey: a prospective study of the French GAZEL cohort and its target population.
about
Association between blood lead and walking speed in the National Health and Nutrition Examination Survey (NHANES 1999-2002)Evaluation of non-response bias in a cohort study of World Trade Center terrorist attack survivorsEarly life factors, childhood cognition and postal questionnaire response rate in middle age: the Aberdeen Children of the 1950s studyFactors relating to participation in follow-up to the 45 and up study in Aboriginal and non-Aboriginal individuals.Health behaviors: is there any distinction for teachers? A cross-sectional nationwide studyLifelong socioeconomic trajectory and premature mortality (35-65 years) in France: findings from the GAZEL Cohort StudyCohort profile: the GAZEL Cohort StudyUse of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol.Assessing the representativeness of population-sampled health surveys through linkage to administrative data on alcohol-related outcomes.Demographic and occupational predictors of early response to a mailed invitation to enroll in a longitudinal health studyAdolescent survey non-response and later risk of death. A prospective cohort study of 78,609 persons with 11-year follow-up.Sense of coherence and attrition during four-year follow-up in cohorts of permanent and non-permanent Finnish employees.Trends in absolute and relative educational inequalities in four modifiable ischaemic heart disease risk factors: repeated cross-sectional surveys from the Nord-Trøndelag Health Study (HUNT) 1984-2008No evidence of response bias in a population-based childhood cancer survivor questionnaire survey - Results from the Swiss Childhood Cancer Survivor Study.The CONSTANCES cohort: an open epidemiological laboratory.Comparison of participants and non-participants to the ORISCAV-LUX population-based study on cardiovascular risk factors in Luxembourg.Material, psychosocial and sociodemographic determinants are associated with positive mental health in Europe: a cross-sectional studySymptomatic pelvic organ prolapse at midlife, quality of life, and risk factors.Adjustment for survey non-representativeness using record-linkage: refined estimates of alcohol consumption by deprivation in Scotland.Towards a Long-Term Strategy for Voluntary-Based Internal Radiation Contamination Monitoring: Representativeness of the Monitoring Results in Fukushima, JapanIntake of polyunsaturated fatty acids and distal large bowel cancer risk in whites and African Americans.Effect of retirement on alcohol consumption: longitudinal evidence from the French Gazel cohort study.Does sickness absence due to psychiatric disorder predict cause-specific mortality? A 16-year follow-up of the GAZEL occupational cohort study.Estimating bias from loss to follow-up in a prospective cohort study of bicycle crash injuries.Effect of retirement on major chronic conditions and fatigue: French GAZEL occupational cohort study.Who does not participate in a follow-up postal study? a survey of infertile couples treated by in vitro fertilizationDeterminants of non- response to a second assessment of lifestyle factors and body weight in the EPIC-PANACEA study.Failure to reduce drinking and driving in France: a 6-year prospective study in the GAZEL cohortEducation-based health inequalities in 18,000 Norwegian couples: the Nord-Trøndelag Health Study (HUNT).Characteristics of Australian cohort study participants who do and do not take up an additional invitation to join a long-term biobank: The 45 and Up Study.Investigating the spatial variability in incidence of coronary heart disease in the Gazel cohort: the impact of area socioeconomic position and mediating role of risk factorsThe association between self-rated health and mortality in different socioeconomic groups in the GAZEL cohort study.Long-term effects of biomechanical exposure on severe knee pain in the Gazel cohortDoes attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status?Screening for Barrett's esophagus: results from a population-based surveyThe Harbin Cohort Study on Diet, Nutrition and Chronic Non-communicable Diseases: study design and baseline characteristics.Occupational mobility and risk factors in working men: selection, causality or both? Results from the GAZEL study.Do psychosocial work factors and social relations exert independent effects on sickness absence? A six year prospective study of the GAZEL cohortTotal and cause specific mortality among participants and non-participants of population based health surveys: a comprehensive follow up of 54 372 Finnish men and womenExcess non-psychiatric hospitalizations among employees with mental disorders: a 10-year prospective study of the GAZEL cohort.
P2860
Q23915301-A00F8E03-FF2F-42E9-B1FC-C66742AD1020Q23921324-F2CDDF1A-8C6C-4F30-90A2-25CF49F2131CQ24810194-5108BF97-1404-4401-B2F7-B79331B9C67DQ27314787-CE3D0FBE-E58D-4189-9A88-C4D25E367DC4Q28390229-750EFC07-A7EA-41F5-AA5D-E18BE97292DEQ28396681-4D50B6BD-DC2B-40C5-B332-89BA09764942Q28755459-0EE1DAC8-1537-4D85-A6F2-F5987F9F50DFQ30596573-6167AF68-C190-445B-B839-239F7E6EF05DQ30852170-AE043BAF-3393-43BF-84E7-1B35447A99C7Q33280666-1B382977-753E-476F-8BF1-EF3D96C9F172Q33285413-D4F03D39-BF96-41F3-BFCD-02CBA67BB00CQ33325806-00CD1552-9BEF-4859-9B7D-D294903A5431Q33353286-93FD5D3C-DC74-4A70-B89E-0EE849AD94C0Q33626651-697014AE-862D-4E4D-94DA-015BB8C56B6CQ33655558-63B13BA0-8136-4644-94C4-7E404F55A5B3Q33685040-95FE3EE2-42CB-46E5-BA60-70C7AE2F0929Q33691232-A004ECB4-E225-4F3A-ABF1-9CF83A60C9F9Q33772789-C26B0918-EB60-407E-B155-E0AB8AFC7114Q33787925-6D018355-0667-4BB8-9A66-2E8AE15FDA49Q33840003-CA9FA237-799B-4C7F-B12F-D2E450FF5262Q33880883-5B562226-4156-4038-911D-74AC0B117503Q34058652-D26D4667-E791-49ED-8DC3-AD04B8BB8BA0Q34122869-83440BFC-80E1-4A1F-B610-79ADCE058675Q34239286-586D496E-87A1-49D2-9825-02E2CA6F4F92Q34345436-8CC879EF-6F57-41FE-A84C-C275C72DEE92Q34348452-4F98D263-82F9-4253-9C04-4A2C8FDA2319Q34420308-1B89BEE3-3DB4-4CD0-AF5B-ECA684664937Q34462576-EE395205-4F0A-493E-A949-0E04443343AEQ34479850-6E4D17F5-D123-47CC-B95C-F2C31BFC3947Q34488547-7684C5AF-B998-4CBE-B623-BC59CE83EC8DQ34617194-9B59D207-D53D-4BE9-A619-E6D4F02166F7Q34715114-7E0B2C09-A228-436C-9F15-770A95662937Q35071783-F796E5EC-50A4-4597-AA32-A083008F2A7CQ35080758-CED61CA1-3F82-47B9-AD7B-7566451D6F9FQ35291906-7B79E35F-C373-4F55-B5DD-788E87C74C6EQ35347520-E4011AF6-48CB-44C8-85B7-26AFF803D3FEQ35410210-D1ABA51A-63E1-4194-AF2E-CCDC8B992E14Q35411259-DE762F17-B0B8-4002-802B-9BA4199897BAQ35418823-4D7647F5-4CB8-4684-BB57-B19F14AB9318Q35468850-F4767FE9-7E53-4884-B051-042CCED18A23
P2860
Socioeconomic, demographic, occupational, and health factors associated with participation in a long-term epidemiologic survey: a prospective study of the French GAZEL cohort and its target population.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Socioeconomic, demographic, oc ...... ort and its target population.
@en
Socioeconomic, demographic, oc ...... ort and its target population.
@nl
type
label
Socioeconomic, demographic, oc ...... ort and its target population.
@en
Socioeconomic, demographic, oc ...... ort and its target population.
@nl
prefLabel
Socioeconomic, demographic, oc ...... ort and its target population.
@en
Socioeconomic, demographic, oc ...... ort and its target population.
@nl
P2093
P356
P1476
Socioeconomic, demographic, oc ...... hort and its target population
@en
P2093
A Chevalier
E Imbernon
I Niedhammer
J F Chastang
M Piciotti
P304
P356
10.1093/AJE/154.4.373
P407
P577
2001-08-01T00:00:00Z