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10-year trends of educational differences in long sickness absence due to mental disorders.

https://arctichealth.org/en/permalink/ahliterature285500
Source
J Occup Health. 2017 Jul 27;59(4):352-355
Publication Type
Article
Date
Jul-27-2017
Author
Hilla Sumanen
Olli Pietiläinen
Eero Lahelma
Ossi Rahkonen
Source
J Occup Health. 2017 Jul 27;59(4):352-355
Date
Jul-27-2017
Language
English
Publication Type
Article
Keywords
Absenteeism
Adolescent
Adult
Age Distribution
Cross-Sectional Studies
Education - classification - statistics & numerical data
Employment - psychology - statistics & numerical data
Female
Finland
Humans
Male
Mental Disorders - psychology
Middle Aged
Regression Analysis
Sex Distribution
Sick Leave - statistics & numerical data
Young Adult
Abstract
Mental disorders are a key cause of sickness absence (SA) and challenge prolonging working careers. Thus, evidence on the development of SA trends is needed. In this study, educational differences in long SAs due to mental disorders were examined in two age groups among employees of the City of Helsinki from 2004 to 2013.
All permanently and temporarily employed staff aged 18-34 and 35-49 were included in the analyses (n=~27800 per year). SA spells of =14 days due to mental disorders were examined annually. Education was classified to higher and lower levels. Joinpoint regression was used to identify major turning points in SA trends.
Joinpoint regression models showed that lower educated groups had more long SAs spells due to mental disorders than those groups with higher education. SA trends decreased during the study period in all studied age and educational groups. Lower educated age groups had similar SA trends. Younger employees with higher education had the fewest SAs.
A clear educational gradient was found in long SAs due to mental disorders during the study period. SA trends decreased from 2004 to 2013.
Notes
Cites: PLoS One. 2014 Jun 25;9(6):e9986924963812
Cites: J Occup Health. 2015;57(5):474-8126228519
Cites: Gesundheitswesen. 2015 Apr;77(4):e70-625756925
Cites: Scand J Work Environ Health. 2014 Jul;40(4):353-6024352164
Cites: Scand J Public Health Suppl. 2004;63:152-8015513656
Cites: BMJ Open. 2016 May 06;6(5):e00855027154473
Cites: Occup Med (Lond). 2012 Jul;62(5):379-8122638644
Cites: PLoS One. 2014 Dec 22;9(12):e11588525531900
Cites: Stat Med. 2000 Feb 15;19(3):335-5110649300
Cites: BJPsych Open. 2016 Jan 13;2(1):18-2427703749
Cites: Acta Psychiatr Scand. 2013 Apr;127(4):287-9722775341
Cites: Eur J Public Health. 2009 Dec;19(6):625-3019581376
Cites: BMC Public Health. 2010 Jul 20;10:42620646271
Cites: Int J Epidemiol. 2013 Jun;42(3):722-3022467288
Cites: Eur J Public Health. 2010 Jun;20(3):276-8019843600
Cites: J Occup Environ Med. 2017 Jan;59(1):114-11928045805
PubMed ID
28496028 View in PubMed
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Angina pectoris: relation of epidemiological survey to registry data.

https://arctichealth.org/en/permalink/ahliterature135757
Source
Eur J Cardiovasc Prev Rehabil. 2011 Aug;18(4):621-6
Publication Type
Article
Date
Aug-2011
Author
Tea Lallukka
Kristiina Manderbacka
Ilmo Keskimäki
Harry Hemingway
Ossi Rahkonen
Eero Lahelma
Reunanen Antti
Author Affiliation
Department of Public Health, University of Helsinki, Finland. tea.lallukka@helsinki.fi
Source
Eur J Cardiovasc Prev Rehabil. 2011 Aug;18(4):621-6
Date
Aug-2011
Language
English
Publication Type
Article
Keywords
Adult
Angina Pectoris - diagnosis - economics - epidemiology
Cardiovascular Agents - economics
Coronary Disease - diagnosis - economics - epidemiology
Drug Costs - statistics & numerical data
Female
Finland - epidemiology
Humans
Insurance, Health, Reimbursement - statistics & numerical data
Male
Middle Aged
Odds Ratio
Patient Admission - statistics & numerical data
Prevalence
Questionnaires
ROC Curve
Registries - statistics & numerical data
Regression Analysis
Reproducibility of Results
Self Report
Sex Distribution
Sex Factors
Time Factors
Abstract
Self-reported angina symptoms are collected in epidemiological surveys. We aimed at validating the angina symptoms assessed by the Rose Questionnaire against registry data on coronary heart disease. A further aim was to examine the sex paradox in angina implying that women report more symptoms, whereas men have more coronary events.
Angina symptoms of 6601 employees of the City of Helsinki were examined using the postal questionnaire survey data combined with coronary heart disease registries.
The self-reported angina was classified as no symptoms, atypical pain, exertional chest pain, and stable angina symptoms. Reimbursed medications and hospital admissions were available from registries 10 years before the survey. Binomial regression analysis was used.
Stable angina symptoms were associated with hospital admissions and reimbursed medications [prevalence ratio (PR), 6.75; 95% confidence interval (CI), 4.56-9.99]. In addition, exertional chest pain (PR, 5.31; 95% CI, 3.45-8.18) was associated with coronary events. All events were more prevalent among men than women (PR, 2.36; 95% CI, 1.72-3.25).
The Rose Questionnaire remains a valid tool to distinguish healthy people from those with coronary heart disease. However, a notable part of those reporting symptoms have no confirmation of coronary heart disease in the registries. The female excess of symptoms and male excess of events may reflect inequality or delay in access to treatment, problems in identification and diagnosis, or more complex issues related to self-reported angina symptoms.
PubMed ID
21450561 View in PubMed
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Determinants of health inequalities by income from the 1980s to the 1990s in Finland.

https://arctichealth.org/en/permalink/ahliterature190205
Source
J Epidemiol Community Health. 2002 Jun;56(6):442-3
Publication Type
Article
Date
Jun-2002
Author
Ossi Rahkonen
E. Lahelma
P. Martikainen
K. Silventoinen
Author Affiliation
Department of Social Policy, PO Box 18, University of Helsinki, 00014 Helsinki, Finland. ossi.rahkonen@helsinki.fi
Source
J Epidemiol Community Health. 2002 Jun;56(6):442-3
Date
Jun-2002
Language
English
Publication Type
Article
Keywords
Adult
Aged
Educational Status
Female
Finland - epidemiology
Health Status Indicators
Humans
Income - statistics & numerical data - trends
Logistic Models
Male
Middle Aged
Regression Analysis
Social Class
Socioeconomic Factors
Unemployment - statistics & numerical data
PubMed ID
12011201 View in PubMed
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Educational differences in disability retirement among young employees in Helsinki, Finland.

https://arctichealth.org/en/permalink/ahliterature279190
Source
Eur J Public Health. 2016 Apr;26(2):318-22
Publication Type
Article
Date
Apr-2016
Author
Hilla Sumanen
Ossi Rahkonen
Olli Pietiläinen
Eero Lahelma
Eira Roos
Jouni Lahti
Source
Eur J Public Health. 2016 Apr;26(2):318-22
Date
Apr-2016
Language
English
Publication Type
Article
Keywords
Adult
Age Factors
Educational Status
Female
Finland - epidemiology
Health status
Humans
Male
Mental Health - statistics & numerical data
Pensions - statistics & numerical data
Regression Analysis
Risk factors
Sick Leave - statistics & numerical data
Socioeconomic Factors
Abstract
Disability retirement (DR) among young employees is an increasing problem affecting work life and public health, given the potential major loss of working time. Little is known about educational differences in the risk of DR among young employees, despite the need for such knowledge in targeting preventive measures. We examined the association between education and DR due to any cause and to mental and non-mental causes among young employees.
Personnel register data of the City of Helsinki from the years 2002-2013 for 25-to-34-year-old employees (n= 41225) were linked to register data from the Finnish Centre for Pensions on DR (n= 381), and from Statistics Finland on education. Education was categorised into four hierarchical groups. The mean follow-up time was 5.7 years. Cox regression analysis was used.
There were 381 DR events and of the events, over 70% were due to mental disorders and 72% were temporary. A consistent educational gradient was found. Those with a basic education were at the highest risk of DR due to any cause (HR 4.64, 95% CI 3.07, 7.02), and to mental (HR 4.79, 95% CI 2.89, 7.94) and non-mental causes (HR 4.32, 95% CI 2.10, 8.91).
DR due to any cause, and to mental and non-mental causes, followed a clear educational gradient. Early intervention, treatment and rehabilitation with a view to maintaining work ability are needed among young employees, especially those with low education. Adapting working conditions to their health and work ability may also help to avoid premature exit from work.
PubMed ID
26678276 View in PubMed
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Explaining educational differences in sickness absence: a population-based follow-up study.

https://arctichealth.org/en/permalink/ahliterature271547
Source
Scand J Work Environ Health. 2015 Jul;41(4):338-46
Publication Type
Article
Date
Jul-2015
Author
Risto Kaikkonen
Tommi Härkänen
Ossi Rahkonen
Raija Gould
Seppo Koskinen
Source
Scand J Work Environ Health. 2015 Jul;41(4):338-46
Date
Jul-2015
Language
English
Publication Type
Article
Keywords
Adult
Bayes Theorem
Cross-Sectional Studies
Educational Status
Female
Finland - epidemiology
Follow-Up Studies
Health Behavior
Health status
Health Surveys
Humans
Male
Middle Aged
Poisson Distribution
Regression Analysis
Sex Distribution
Sick Leave - economics - statistics & numerical data
Social Environment
Socioeconomic Factors
Workload - statistics & numerical data
Workplace
Abstract
There is a marked socioeconomic gradient in sickness absences, but the causes of this gradient are poorly understood. This study examined the role of health and work-related factors as determinants of educational differences in long-term sickness absence in an 8-year follow-up.
The study comprised a population-based sample of 5835 Finns aged 30-64 years (participation 89%, N=3946) in a register-based 8-year follow-up. This is a novel method to predict the population average of sickness absence days per working year (DWY) based on the expected outcome values using Poisson and gamma regression models.
The difference in the DWY between the lowest and highest educational level was clear among both men (3.2 days/year versus 8.0 days/year) and women (women 4.4 days/year versus 10.1 days/year). Adjusting for physical working conditions, health status and health behavior, and obesity attenuated the differences. Psychosocial working conditions had only a minor effect on the association. After adjusting for health and work-related factors, the difference attenuated by 1.8 days and 2.6 days among men and women, respectively.
Our results suggest that improvements in physical working conditions and reducing smoking, particularly among employees with a low level of education, may markedly reduce educational differences in sickness absence.
PubMed ID
25928580 View in PubMed
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Occupational class differences in long sickness absence: a register-based study of 2.1 million Finnish women and men in 1996-2013.

https://arctichealth.org/en/permalink/ahliterature291594
Source
BMJ Open. 2017 Jul 20; 7(7):e014325
Publication Type
Journal Article
Date
Jul-20-2017
Author
Johanna Pekkala
Jenni Blomgren
Olli Pietiläinen
Eero Lahelma
Ossi Rahkonen
Author Affiliation
Department of Public Health, University of Helsinki, Helsinki, Finland.
Source
BMJ Open. 2017 Jul 20; 7(7):e014325
Date
Jul-20-2017
Language
English
Publication Type
Journal Article
Keywords
Adult
Cross-Sectional Studies
Female
Finland - epidemiology
Humans
Male
Middle Aged
Occupations - classification
Prevalence
Regression Analysis
Sampling Studies
Sex Distribution
Sick Leave - statistics & numerical data - trends
Abstract
Sickness absence is consistently higher in lower occupational classes, but attempts to analyse changes over time in socioeconomic differences are scarce. We examined trends in medically certified sickness absence by occupational class in Finland from 1996 to 2013 and assessed the magnitude and changes in absolute and relative occupational class differences.
Population-based, repeated cross-sectional study.
A 70% random sample of Finns aged between 25 and 63 years in the years 1996-2013.
The study focused on 25- to 63?year-old female (n between 572?246 and 690 925) and male (n between 525?698 and 644 425) upper and lower non-manual and manual workers. Disability and old age pensioners, students, the unemployed, entrepreneurs and farmers were excluded. The analyses covered 2?160?084 persons, that is, 77% of the random sample.For primary and secondary outcome measures, we examined yearly prevalence of over 10 working days long sickness absence by occupational class. The Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were used to assess the magnitude and changes in occupational class differences.
Compared with mid-1990s, sickness absence prevalence was slightly lower in 2013 in all occupational classes except for female lower non-manual workers. Hierarchical occupational class differences in sickness absence were found. Absolute differences (SII) peaked in 2005 in both women (0.12, 95% CI 0.12 to 0.13) and men (0.15, 95%?CI 0.14 to 0.15) but reached the previous level in women by 2009 and decreased modestly in men until 2013. Relative differences narrowed over time (p
Notes
Cites: J Epidemiol Community Health. 2006 Jan;60(1):7-12 PMID 16361448
Cites: BMC Public Health. 2008 Feb 20;8:66 PMID 18284701
Cites: J Epidemiol Community Health. 1995 Apr;49(2):124-30 PMID 7798038
Cites: Scand J Public Health Suppl. 2004;63:12-30 PMID 15513650
Cites: BMJ. 2005 Apr 9;330(7495):802-3 PMID 15817531
Cites: Scand J Work Environ Health. 2009 Oct;35(5):334-41 PMID 19705042
Cites: Health Econ. 2005 Nov;14(11):1087-101 PMID 15791654
Cites: Scand J Public Health. 2015 Jun;43(4):441-4 PMID 25834066
Cites: Addict Behav. 2007 Jan;32(1):187-93 PMID 16650625
Cites: J Epidemiol Community Health. 2004 Aug;58(8):710-1 PMID 15252077
Cites: Occup Med (Lond). 2008 Jun;58(4):263-7 PMID 18356142
Cites: Scand J Work Environ Health. 2011 May;37(3):213-8 PMID 21069253
Cites: Am J Public Health. 2005 Jul;95(7):1206-12 PMID 15933236
Cites: Health Econ. 2013 Mar;22(3):366-70 PMID 22383260
Cites: BMC Public Health. 2012 Apr 03;12:266 PMID 22471945
Cites: J Epidemiol Community Health. 2004 Nov;58(11):900-3 PMID 15483304
Cites: BMC Public Health. 2013 Jun 05;13:545 PMID 23738703
Cites: Scand J Public Health. 2007;35(4):348-55 PMID 17786797
Cites: J Epidemiol Community Health. 2010 Sep;64(9):802-7 PMID 19778907
Cites: J Epidemiol Community Health. 2012 Feb;66(2):155-9 PMID 22003081
Cites: PeerJ. 2015 Nov 24;3:e1438 PMID 26623191
Cites: J Epidemiol Community Health. 2008 Feb;62(2):181-3 PMID 18192608
Cites: Health Econ. 2015 Jun;24(6):692-710 PMID 24737552
Cites: Soc Sci Med. 1997 Mar;44(6):757-71 PMID 9080560
PubMed ID
28729307 View in PubMed
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Pain and disability retirement: a prospective cohort study.

https://arctichealth.org/en/permalink/ahliterature126913
Source
Pain. 2012 Mar;153(3):526-31
Publication Type
Article
Date
Mar-2012
Author
Peppiina Saastamoinen
Mikko Laaksonen
Sanna-Mari Kääriä
Tea Lallukka
Päivi Leino-Arjas
Ossi Rahkonen
Eero Lahelma
Author Affiliation
Department of Public Health, Hjelt Institute, Helsinki, Finland. peppiina.saastamoinen@helsinki.fi
Source
Pain. 2012 Mar;153(3):526-31
Date
Mar-2012
Language
English
Publication Type
Article
Keywords
Adult
Age Factors
Aged
Aged, 80 and over
Chronic Pain - epidemiology - psychology
Cohort Studies
Disabled Persons - psychology - statistics & numerical data
Female
Finland - epidemiology
Health Surveys
Humans
Male
Middle Aged
Occupational Health
Regression Analysis
Retirement - psychology - statistics & numerical data
Risk factors
Socioeconomic Factors
Workplace
Abstract
This study examined the association of pain with subsequent disability retirement due to all causes as well as musculoskeletal diseases, mental disorders, and a heterogeneous group of other diseases and to study whether pain has an effect of its own after taking into account long-standing illness, physician-diagnosed diseases, working conditions, and occupational class, which are the key factors affecting disability retirement. The data consisted of the Helsinki Health Study baseline survey linked to national pension register data (n=6258). Mean follow-up time was 8.1 years. The data included 594 disability retirement events. Pain (acute or chronic) was stratified by long-standing illness (yes/no). Cox regression analysis was performed. Chronic pain without and with co-occurring long-standing illness was strongly associated with all types of disability retirement outcomes, but the associations were particularly strong for disability retirement due to musculoskeletal diseases. The associations remained even when further adjusted for physician diagnosed chronic conditions and diseases, psychosocial and physical working conditions, and occupational class. Associations for acute pain were also found, but they were clearly weaker than those of chronic pain. Chronic pain contributes to disability retirement. Prevention and effective treatment of chronic pain may help prevent early retirement due to disability.
Notes
Comment In: Pain. 2012 Mar;153(3):507-822197639
PubMed ID
22340946 View in PubMed
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Working conditions and major weight gain-a prospective cohort study.

https://arctichealth.org/en/permalink/ahliterature114911
Source
Arch Environ Occup Health. 2013;68(3):166-72
Publication Type
Article
Date
2013
Author
Eira Roos
Tea Lallukka
Ossi Rahkonen
Eero Lahelma
Mikko Laaksonen
Author Affiliation
Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland. eira.roos@fimnet.fi
Source
Arch Environ Occup Health. 2013;68(3):166-72
Date
2013
Language
English
Publication Type
Article
Keywords
Adult
Cohort Studies
Confidence Intervals
Female
Finland - epidemiology
Health Surveys
Humans
Longitudinal Studies
Male
Middle Aged
Occupational Diseases - epidemiology - psychology
Odds Ratio
Overweight - epidemiology - psychology
Prospective Studies
Questionnaires
Regression Analysis
Risk factors
Sex Factors
Stress, Psychological
Weight Gain
Work - physiology - psychology
Work Schedule Tolerance - physiology - psychology
Workload
Workplace - psychology - standards
Abstract
The objective of this study was to examine the associations of working conditions with major weight gain. Three different groups of work-related factors were examined: (i) work arrangements, (ii) physical working conditions, and (iii) psychosocial working conditions. The data are based on the Helsinki Health Study (HHS) questionnaire surveys. A baseline mail survey was made among middle-aged employees of the City of Helsinki in 2000-2002. A follow-up survey was made in 2007. Regression analyses with odds ratios and 95% confidence intervals were calculated. During the 5- to 7-year follow-up, 26% of women and 24% of men gained in weight 5 kg or more. Working conditions were mostly unassociated with weight gain. However, nighttime shift work, physical threat at work, and hazardous exposures at work were moderately associated with weight gain. More attention should be devoted to the prevention of weight gain in general and among risk groups in particular.
PubMed ID
23566324 View in PubMed
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8 records – page 1 of 1.