Jane E Ferrie

University of Bristol, Bristol, England, United Kingdom

Are you Jane E Ferrie?

Claim your profile

Publications (248)1570.48 Total impact

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Background: Social support is associated with better health. However, only a limited number of studies have examined the association of social support with health from the adult life course perspective and whether this association is bidirectional. Methods: Participants (n=6797; 30% women; age range from 40 to 77 years) who were followed from 1989 (phase 2) to 2006 (phase 8) were selected from the ongoing Whitehall II Study. Structural and functional social support was measured at follow-up phases 2, 5 and 7. Mental and physical health was measured at five consecutive follow-up phases (3-8). Results: Social support predicted better mental health, and certain functional aspects of social support, such as higher practical support and higher levels of negative aspects in social relationships, predicted poorer physical health. The association between negative aspects of close relationships and physical health was found to strengthen over the adult life course. In women, the association between marital status and mental health weakened until the age of approximately 60 years. Better mental and physical health was associated with higher future social support. Conclusions: The strength of the association between social support and health may vary over the adult life course. The association with health seems to be bidirectional.
    Full-text · Article · Jan 2016 · Journal of epidemiology and community health
  • [Show abstract] [Hide abstract]
    ABSTRACT: Introduction: Socioeconomic differences in smoking over time and across national contexts are poorly understood. We assessed the magnitude of relative and absolute social class differences in smoking in cohorts from Britain, Finland and Japan over 5-7 years. Methods: The British Whitehall II study (n=4350), Finnish Helsinki Health Study (n=6328), and Japanese Civil Servants Study (n=1993) all included employed men and women aged 35-68 at baseline in 1997-2002. Follow-up was in 2003-2007 (mean follow-up 5.1, 6.5 and 3.6 years, respectively). Occupational social class (managers, professionals and clerical employees) was measured at baseline. Current smoking and covariates (age, marital status, body mass index and self-rated health) were measured at baseline and follow-up. We assessed relative social class differences using the Relative Index of Inequality (RII) and absolute differences using the Slope Index of Inequality (SII). Results: Social class differences in smoking were found in Britain and Finland, but not in Japan. Age-adjusted relative differences at baseline ranged from RII 3.08 (95% confidence interval 1.99-4.78) among Finnish men to 2.32 (1.24-4.32) among British women, with differences at follow-up greater by 8-58%. Absolute differences remained stable and varied from SII 0.27 (0.15-0.40) among Finnish men to 0.10 (0.03-0.16) among British women. Further adjustment for covariates had modest effects on inequality indices. Conclusions: Large social class differences in smoking persisted among British and Finnish men and women, with widening tendencies in relative differences over time. No differences could be confirmed among Japanese men or women.
    No preview · Article · Jan 2016 · Nicotine & Tobacco Research
  • Source

    Preview · Article · Jan 2016 · Diabetes care
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Objectives The extent to which aspects of sleep affect well-being in the long-term remains unclear. This longitudinal study examines the association between chronic insomnia symptoms, recurrent sleep duration and well-being at older ages. Setting A prospective cohort of UK civil servants (the Whitehall II study). Participants 4491 women and men (25.2% women) with sleep measured 3 times over 10 years and well-being once at age 55–79 years. Insomnia symptoms and sleep duration were assessed through self-reports in 1997–1999, 2003–2004 and 2007–2009. Primary outcome measures Indicators of well-being, measured in 2007–2009, were the Control, Autonomy, Self-realisation and Pleasure measure (CASP-19) of overall well-being (range 0–57) and the physical and mental well-being component scores (range 0–100) of the Short Form Health Survey (SF-36). Results In maximally adjusted analyses, chronic insomnia symptoms were associated with poorer overall well-being (difference between insomnia at 3 assessments vs none −7.0 (SE=0.4) p<0.001), mental well-being (difference −6.9 (SE=0.4), p<0.001) and physical well-being (difference −2.8 (SE=0.4), p<0.001) independently of the other sleep measures. There was a suggestion of a dose–response pattern in these associations. In addition, recurrent short sleep (difference between ≤5 h sleep reported at 3 assessments vs none −1.7 (SE=0.7), p<0.05) and recurrent long sleep (difference between >9 h reported at 2 or 3 assessments vs none −3.5 (SE=0.9), p<0.001) were associated with poorer physical well-being. Conclusions We conclude that in older people, chronic insomnia symptoms are negatively associated with all aspects of well-being, whereas recurrent long and short sleep is only associated with reduced physical well-being.
    Preview · Article · Jan 2016 · BMJ Open
  • Jane E Ferrie

    No preview · Article · Dec 2015 · International Journal of Epidemiology
  • Mika Kivimäki · Marianna Virtanen · Jane E. Ferrie

    No preview · Article · Oct 2015 · JAMA Internal Medicine

  • No preview · Article · Sep 2015 · Psychoneuroendocrinology

  • No preview · Article · Sep 2015 · Psychoneuroendocrinology
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Long working hours might increase the risk of cardiovascular disease, but prospective evidence is scarce, imprecise, and mostly limited to coronary heart disease. We aimed to assess long working hours as a risk factor for incident coronary heart disease and stroke. We identified published studies through a systematic review of PubMed and Embase from inception to Aug 20, 2014. We obtained unpublished data for 20 cohort studies from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium and open-access data archives. We used cumulative random-effects meta-analysis to combine effect estimates from published and unpublished data. We included 25 studies from 24 cohorts in Europe, the USA, and Australia. The meta-analysis of coronary heart disease comprised data for 603 838 men and women who were free from coronary heart disease at baseline; the meta-analysis of stroke comprised data for 528 908 men and women who were free from stroke at baseline. Follow-up for coronary heart disease was 5·1 million person-years (mean 8·5 years), in which 4768 events were recorded, and for stroke was 3·8 million person-years (mean 7·2 years), in which 1722 events were recorded. In cumulative meta-analysis adjusted for age, sex, and socioeconomic status, compared with standard hours (35-40 h per week), working long hours (≥55 h per week) was associated with an increase in risk of incident coronary heart disease (relative risk [RR] 1·13, 95% CI 1·02-1·26; p=0·02) and incident stroke (1·33, 1·11-1·61; p=0·002). The excess risk of stroke remained unchanged in analyses that addressed reverse causation, multivariable adjustments for other risk factors, and different methods of stroke ascertainment (range of RR estimates 1·30-1·42). We recorded a dose-response association for stroke, with RR estimates of 1·10 (95% CI 0·94-1·28; p=0·24) for 41-48 working hours, 1·27 (1·03-1·56; p=0·03) for 49-54 working hours, and 1·33 (1·11-1·61; p=0·002) for 55 working hours or more per week compared with standard working hours (ptrend<0·0001). Employees who work long hours have a higher risk of stroke than those working standard hours; the association with coronary heart disease is weaker. These findings suggest that more attention should be paid to the management of vascular risk factors in individuals who work long hours. Medical Research Council, Economic and Social Research Council, European Union New and Emerging Risks in Occupational Safety and Health research programme, Finnish Work Environment Fund, Swedish Research Council for Working Life and Social Research, German Social Accident Insurance, Danish National Research Centre for the Working Environment, Academy of Finland, Ministry of Social Affairs and Employment (Netherlands), US National Institutes of Health, British Heart Foundation. Copyright © 2015 Kivimäki et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd.. All rights reserved.
    Full-text · Article · Aug 2015 · The Lancet
  • [Show abstract] [Hide abstract]
    ABSTRACT: Environmental risks in childhood have been shown to predict later depressive symptoms. In this study, we examined whether various environmental risk domains in childhood and adolescence, socioeconomic, psychoemotional, parental lifestyle and life-events, predict depressive symptom trajectories in adulthood individually by domain and as a cumulative risk score across domains. Participants were a nationally representative sample of 1289 men and 1585 women from the Young Finns study, aged 3-18 years at study entry in 1980. They responded to questions on depressive symptoms (modified version of the Beck Depression Inventory) at four study phases from 1997 to 2012. Findings from longitudinal repeated multilevel modelling showed that all clusters of risk within domain and the cumulative risk score were associated with later depressive symptoms (regression coefficient range from 0.07 to 0.34). Socioeconomic risk, psychoemotional risk and the cumulative risk score predicted later depressive symptoms after adjustment for the effects of adulthood risk. No interaction with time was observed. Our findings suggest that environment risks in childhood and adolescence, particularly in the socioeconomic and psychoemotional domains, are associated with a higher risk, but not an increased progression, of depressive symptoms in adulthood. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
    No preview · Article · Jun 2015 · Journal of epidemiology and community health
  • [Show abstract] [Hide abstract]
    ABSTRACT: Evidence suggests that short and long sleep are associated with a higher risk of type 2 diabetes. Using successive data waves spanning >20 years, we examined whether a change in sleep duration is associated with incident diabetes. Sleep duration was reported at the beginning and end of four 5-year cycles: 1985-1988 to 1991-1994 (n = 5,613), 1991-1994 to 1997-1999 (n = 4,193), 1997-1999 to 2002-2004 (n = 3,840), and 2002-2004 to 2007-2009 (n = 4,195). At each cycle, change in sleep duration was calculated for participants without diabetes. Incident diabetes at the end of the subsequent 5-year period was defined using 1) fasting glucose, 2) 75-g oral glucose tolerance test, and 3) glycated hemoglobin, in conjunction with diabetes medication and self-reported doctor diagnosis. Compared with the reference group of persistent 7-h sleepers, an increase of ≥2 h sleep per night was associated with a higher risk of incident diabetes (odds ratio 1.65 [95% CI 1.15, 2.37]) in analyses adjusted for age, sex, employment grade, and ethnic group. This association was partially attenuated by adjustment for BMI and change in weight (1.50 [1.04, 2.16]). An increased risk of incident diabetes was also seen in persistent short sleepers (average ≤5.5 h/night; 1.35 [1.04, 1.76]), but this evidence weakened on adjustment for BMI and change in weight (1.25 [0.96, 1.63]). This study suggests that individuals whose sleep duration increases are at an increased risk of type 2 diabetes. Greater weight and weight gain in this group partly explain the association. © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
    No preview · Article · Jun 2015 · Diabetes care
  • Jane E Ferrie · Shah Ebrahim

    No preview · Article · Jun 2015 · International Journal of Epidemiology
  • [Show abstract] [Hide abstract]
    ABSTRACT: Job insecurity is considered a profound work stressor. While previous research has indicated that job insecurity represents a substantial mental health burden, few studies have examined its relationship with symptoms of major depression. The aim of this study was to assess whether episodic and repeated self-reported threats of dismissal increase the risk of subsequent symptoms of major depression and whether symptoms of major depression are related to subsequent experience of threats of dismissal. The study is based on the Swedish Longitudinal Occupational Survey of Health (SLOSH) study, a cohort study with multiple repeated measurements. The sample consisted of 6275 participants who were in regular paid employment and who provided data in 2008, 2010 and 2012. Severity of depression was assessed with a brief Symptom Checklist scale and categorised according to symptoms of major depression or not. Results based on generalised estimating equations logit models showed that prior threats of dismissal predicted symptoms of major depression OR 1.37; 95% CI 1.04 to 1.81) after adjustment for prior depression and major confounders. Especially related threats increased the risk of major depression symptoms (OR 1.74 CI 1.09 to 2.78). Major depression symptoms also increased the odds of subsequent threats of dismissal (OR 1.52, CI 1.17 to 1.98). These findings support a prospective association between threats of dismissal and symptoms of major depression, in particular repeated exposure to threats of dismissal. The results also indicate that threats of dismissal are more likely to be reported by workers with symptoms of major depression. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
    No preview · Article · Apr 2015 · Journal of epidemiology and community health
  • [Show abstract] [Hide abstract]
    ABSTRACT: AimTo examine work disability trajectories among employees with and without diabetes and identify lifestyle-related factors associated with these trajectories.Methods We assessed work disability using records of sickness absence and disability pension among participants with diabetes and age- sex-, socio-economic status- and marital status-matched controls in the Finnish Public Sector Study (1102 cases; 2204 controls) and the French GAZEL study (500 cases; 1000 controls), followed up for 5 years. Obesity, physical activity, smoking and alcohol consumption were assessed at baseline and the data analysed using group-based trajectory modelling.ResultsFive trajectories described work disability: ‘no/very low disability’ (41.1% among cases and 48.0% among controls); ‘low–steady’ (35.4 and 34.7%, respectively); ‘high–steady’ (13.6 and 12.1%, respectively); and two ‘high–increasing’ trajectories (10.0 and 5.2%, respectively). Diabetes was associated with a ‘high–increasing’ trajectory only (odds ratio 1.90, 95% CI 1.47–2.46). Associations of obesity and low physical activity with disability trajectories were similar in both groups. Smoking was associated with ‘high–increasing’ trajectory in employees with diabetes (odds ratio 1.88, 95% CI 1.21–2.93) but not in those without diabetes (odds ratio 1.32, 95% CI 0.87–2.00). Diabetes was associated with having multiple (≥2) risk factors (21.1 vs. 11.4%) but the association between multiple risk factors and the ‘high–increasing’ trajectory was similar in both groups.Conclusions The majority of employees with diabetes have low disability rates, although 10% are on a high and increasing disability trajectory. Lifestyle-related risk factors have similar associations with disability among employees with and without diabetes, except smoking which was only associated with poorer prognosis in diabetes.This article is protected by copyright. All rights reserved.
    No preview · Article · Apr 2015 · Diabetic Medicine

  • No preview · Article · Mar 2015 · Médecine du Sommeil
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Established in 2008 and comprising over 60 researchers, the IPD-Work (individual-participant data meta-analysis in working populations) consortium is a collaborative research project that uses pre-defined meta-analyses of individual-participant data from multiple cohort studies representing a range of countries. The aim of the consortium is to estimate reliably the associations of work-related psychosocial factors with chronic diseases, disability, and mortality. Our findings are highly cited by the occupational health, epidemiology, and clinical medicine research community. However, some of the IPD-Work's findings have also generated disagreement as they challenge the importance of job strain as a major target for coronary heart disease (CHD) prevention, this is reflected in the critical discussion paper by Choi et al (1). In this invited reply to Choi et al, we aim to (i) describe how IPD-Work seeks to advance research on associations between work-related psychosocial risk factors and health; (ii) demonstrate as unfounded Choi et al's assertion that IPD-Work has underestimated associations between job strain and health endpoints; these include the dichotomous measurement of job strain, potential underestimation of the population attributable risk (PAR) of job strain for CHD, and policy implications arising from the findings of the IPD-Work consortium; and (iii) outline general principles for designing evidence-based policy and prevention from good-quality evidence, including future directions for research on psychosocial factors at work and health. In addition, we highlight some problems with Choi et al's approach.
    Full-text · Article · Feb 2015 · Scandinavian Journal of Work, Environment & Health
  • Jane E Ferrie

    No preview · Article · Feb 2015 · International Journal of Epidemiology
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We examined whether relative occupational social class inequalities in physical health functioning widen, narrow or remain stable among white collar employees from three affluent countries. Health functioning was assessed twice in occupational cohorts from Britain (1997–1999 and 2003–2004), Finland (2000–2002 and 2007) and Japan (1998–1999 and 2003). Widening inequalities were seen for British and Finnish men, whereas inequalities among British and Finnish women remained relatively stable. Japanese women showed reverse inequalities at follow up, but no health inequalities were seen among Japanese men. Health behaviours and social relations explained 4–37% of the magnitude in health inequalities, but not their widening.
    Full-text · Article · Jan 2015 · Health & Place
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Objective: To quantify the association between long working hours and alcohol use. Design: Systematic review and meta-analysis of published studies and unpublished individual participant data. Data sources: A systematic search of PubMed and Embase databases in April 2014 for published studies, supplemented with manual searches. Unpublished individual participant data were obtained from 27 additional studies. Review methods: The search strategy was designed to retrieve cross sectional and prospective studies of the association between long working hours and alcohol use. Summary estimates were obtained with random effects meta-analysis. Sources of heterogeneity were examined with meta-regression. Results: Cross sectional analysis was based on 61 studies representing 333 693 participants from 14 countries. Prospective analysis was based on 20 studies representing 100 602 participants from nine countries. The pooled maximum adjusted odds ratio for the association between long working hours and alcohol use was 1.11 (95% confidence interval 1.05 to 1.18) in the cross sectional analysis of published and unpublished data. Odds ratio of new onset risky alcohol use was 1.12 (1.04 to 1.20) in the analysis of prospective published and unpublished data. In the 18 studies with individual participant data it was possible to assess the European Union Working Time Directive, which recommends an upper limit of 48 hours a week. Odds ratios of new onset risky alcohol use for those working 49-54 hours and ≥55 hours a week were 1.13 (1.02 to 1.26; adjusted difference in incidence 0.8 percentage points) and 1.12 (1.01 to 1.25; adjusted difference in incidence 0.7 percentage points), respectively, compared with working standard 35-40 hours (incidence of new onset risky alcohol use 6.2%). There was no difference in these associations between men and women or by age or socioeconomic groups, geographical regions, sample type (population based v occupational cohort), prevalence of risky alcohol use in the cohort, or sample attrition rate. Conclusions: Individuals whose working hours exceed standard recommendations are more likely to increase their alcohol use to levels that pose a health risk.
    Full-text · Article · Jan 2015 · BMJ (online)
  • Source
    Jane E Ferrie

    Preview · Article · Dec 2014 · International Journal of Epidemiology

Publication Stats

11k Citations
1,570.48 Total Impact Points


  • 2011-2016
    • University of Bristol
      • School of Social and Community Medicine
      Bristol, England, United Kingdom
  • 2003-2015
    • University of Helsinki
      • • Department of Dental Public Health
      • • Department of Psychology
      Helsinki, Uusimaa, Finland
  • 1997-2015
    • University College London
      • Department of Epidemiology and Public Health
      Londinium, England, United Kingdom
  • 2014
    • Uppsala University
      Uppsala, Uppsala, Sweden
  • 2003-2012
    • Finnish Institute of Occupational Health
      • Centre of Expertise for Work Organizations
      Helsinki, Southern Finland Province, Finland
  • 2010
    • Stockholm University
      • Stress Research Institute
      Stockholm, Stockholm, Sweden
    • French Institute of Health and Medical Research
      • Centre de Recherche en Épidémiologie et Santé des Populations CESP U1018
      Paris, Ile-de-France, France
  • 2009
    • Public Health England
      Londinium, England, United Kingdom
  • 2008
    • University of Turku
      Turku, Varsinais-Suomi, Finland
  • 2007
    • Warwick Business School
      Warwick, England, United Kingdom
  • 2002
    • University of Tampere
      • Medical School
      Tampere, Western Finland, Finland
  • 1992
    • Middlesex University, UK
      Londinium, England, United Kingdom