Jane E Ferrie

University of Bristol, Bristol, England, United Kingdom

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Publications (219)1365.13 Total impact

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    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.
    Journal of epidemiology and community health 04/2015; DOI:10.1136/jech-2014-205405 · 3.29 Impact Factor
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    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.
    Diabetic Medicine 04/2015; DOI:10.1111/dme.12787 · 3.06 Impact Factor
  • Médecine du Sommeil 03/2015; 12(1). DOI:10.1016/j.msom.2015.01.112
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    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). We thank BongKyoo Choi and colleagues for their discussion paper which we read with interest. Some readers might have already seen the key points made by these authors previously in other outlets such as letters to editors or in an exchange documented on the homepage of the Center of Social Epidemiology (unhealthywork.org/category/is-job-strain-a-risk-factor-for-cvd/). In this invited reply, 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.
    Scandinavian Journal of Work, Environment & Health 02/2015; 41(3). DOI:10.5271/sjweh.3485 · 3.10 Impact Factor
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    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.
    Health & Place 01/2015; 31. DOI:10.1016/j.healthplace.2014.12.004 · 2.44 Impact Factor
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    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.
    BMJ (online) 01/2015; 350. DOI:10.1136/bmj.g7772 · 16.38 Impact Factor
  • Jane E Ferrie
    International Journal of Epidemiology 12/2014; 43(6):1671-1677. DOI:10.1093/ije/dyu230 · 9.20 Impact Factor
  • Jane E Ferrie
    International Journal of Epidemiology 12/2014; 43(6):1689-90. DOI:10.1093/ije/dyu231 · 9.20 Impact Factor
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    ABSTRACT: Study Objectives To assess whether sleep complaints - rather than clinically-defined sleep disturbances - were associated with the metabolic syndrome (MetS) and each of its components in an elderly population. Design and Setting: Cross sectional analyses of data from the French Three City Study - a large multicentre cohort of elderly community-dwellers-. Participants 6354 participants (56.4 % women, median age 73; range 65-97 years). Measure ments: Frequency of insomnia complaints (difficulty in initiating sleep, difficulty in maintaining sleep (DMS), and early morning awakening) and excessive daytime sleepiness (EDS) were self reported. MetS was assessed using National Cholesterol Education program Adult Treatment Panel III criteria. Results A total of 977 participants had MetS. After adjustment for a large range of potential confounders, we reported an association between the number of insomnia complaints and MetS. Among insomnia complaints only DMS was consistently associated with MetS (OR=1.23, 95 % CI: 1.06 to 1.43). Our results showed that EDS independently increased the risk of MetS (OR=1.46, 95%CI: 1.18 to 1.81 for frequently, OR=1.99, 95%CI: 1.49 to 1.67 for often). The EDS-MetS association was independent of 1) past-history of cardiovascular disease, 2) insomnia complaints and 3) obesity and loud snoring. Conclusion We report significant independent associations between frequent sleep complaints (EDS and to a lesser extent DMS) and MetS in the elderly with potential implications in terms of management and cardiovascular prevention in general geriatric practice. Prospective studies are required to clarify the direction of the association between sleep complaints and MetS.
    American Journal of Geriatric Psychiatry 10/2014; DOI:10.1016/j.jagp.2014.10.001 · 3.52 Impact Factor
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    ABSTRACT: Inflammation plays an important role in the aetiology of cardiovascular diseases and may contribute to the association linking unhealthy diet to chronic age-related diseases. However to date the long-term associations between diet and inflammation have been poorly described. Our aim was to assess the extent to which adherence to a healthy diet and dietary improvements over a 6-year exposure period prevented subsequent chronic inflammation over a 5-year follow-up in a large British population of men and women.
    The American Journal of Medicine 10/2014; 128(2). DOI:10.1016/j.amjmed.2014.10.002 · 5.30 Impact Factor
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    ABSTRACT: Background Working long hours might have adverse health effects, but whether this is true for all socioeconomic status groups is unclear. In this meta-analysis stratified by socioeconomic status, we investigated the role of long working hours as a risk factor for type 2 diabetes. Methods We identified four published studies through a systematic literature search of PubMed and Embase up to April 30, 2014. Study inclusion criteria were English-language publication; prospective design (cohort study); investigation of the effect of working hours or overtime work; incident diabetes as an outcome; and relative risks, odds ratios, or hazard ratios (HRs) with 95% CIs, or sufficient information to calculate these estimates. Additionally, we used unpublished individual-level data from 19 cohort studies from the Individual-Participant-Data Meta-analysis in Working-Populations Consortium and international open-access data archives. Effect estimates from published and unpublished data from 222 120 men and women from the USA, Europe, Japan, and Australia were pooled with random-effects meta-analysis. Findings During 1·7 million person-years at risk, 4963 individuals developed diabetes (incidence 29 per 10 000 person-years). The minimally adjusted summary risk ratio for long (≥55 h per week) compared with standard working hours (35–40 h) was 1·07 (95% CI 0·89–1·27, difference in incidence three cases per 10 000 person-years) with significant heterogeneity in study-specific estimates (I2=53%, p=0·0016). In an analysis stratified by socioeconomic status, the association between long working hours and diabetes was evident in the low socioeconomic status group (risk ratio 1·29, 95% CI 1·06–1·57, difference in incidence 13 per 10 000 person-years, I2=0%, p=0·4662), but was null in the high socioeconomic status group (1·00, 95% CI 0·80–1·25, incidence difference zero per 10 000 person-years, I2=15%, p=0·2464). The association in the low socioeconomic status group was robust to adjustment for age, sex, obesity, and physical activity, and remained after exclusion of shift workers. Interpretation In this meta-analysis, the link between longer working hours and type 2 diabetes was apparent only in individuals in the low socioeconomic status groups. Funding Medical 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), Economic and Social Research Council, US National Institutes of Health, and British Heart Foundation.
  • Jane E Ferrie
    International Journal of Epidemiology 08/2014; 43(4):977-82. DOI:10.1093/ije/dyu152 · 9.20 Impact Factor
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    ABSTRACT: The status of psychosocial stress at work as a risk factor for type 2 diabetes is unclear because existing evidence is based on small studies and is subject to confounding by lifestyle factors, such as obesity and physical inactivity. This collaborative study examined whether stress at work, defined as "job strain," is associated with incident type 2 diabetes independent of lifestyle factors.
  • Jane E Ferrie, Shah Ebrahim
    International Journal of Epidemiology 06/2014; 43(3):639-44. DOI:10.1093/ije/dyu108 · 9.20 Impact Factor
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    ABSTRACT: OBJECTIVE We examined whether psychological distress predicts incident type 2 diabetes and if the association differs between populations at higher or lower risk of type 2 diabetes.RESEARCH DESIGN AND METHODS Prospective cohort of 5,932 diabetes-free adults (4,189 men and 1,743 women, mean age 54.6 years) with three 5-year data cycles (1991-2009), a total of 13,207 person-observations. Participants were classified into four groups according to their prediabetes status and Framingham Offspring Type 2 Diabetes Risk Score: normoglycemia with a risk score of 0-9, normoglycemia with a risk score of 10-19, prediabetes with a risk score of 10-19, and prediabetes with a risk score of >19. Psychological distress was assessed by the General Health Questionnaire. Incident type 2 diabetes was ascertained by 2-h oral glucose tolerance test, doctor diagnosis, or use of antihyperglycemic medication at the 5-year follow-up for each data cycle. Adjustments were made for age, sex, ethnicity, socioeconomic status, antidepressant use, smoking, and physical activity.RESULTSAmong participants with normoglycemia and among those with prediabetes combined with a low risk score, psychological distress did not predict type 2 diabetes. Diabetes incidence in these groups varied between 1.6 and 15.6%. Among participants with prediabetes and a high risk score, 40.9% of those with psychological distress compared with 28.5% of those without distress developed diabetes during the follow-up. The corresponding adjusted odds ratio for psychological distress was 2.07 (95% CI 1.19-3.62).CONCLUSIONS These data suggest that psychological distress is associated with an accelerated progression to manifest diabetes in a subpopulation with advanced prediabetes.
    Diabetes care 05/2014; 37(8). DOI:10.2337/dc13-2725 · 8.57 Impact Factor
  • Epidemiology (Cambridge, Mass.) 05/2014; 25(3):464-5. DOI:10.1097/EDE.0000000000000087 · 6.18 Impact Factor
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    ABSTRACT: We examined whether socioeconomic and psychosocial adversity in midlife predicts post-retirement depressive symptoms. A prospective cohort study of British civil servants who responded to a self-administered questionnaire in middle-age and at older ages, 21 years later. The study sample consisted of 3,939 Whitehall II Study participants (2,789 men, 1,150 women; mean age 67.6 years at follow-up) who were employed at baseline and retired at follow-up. Midlife adversity was assessed by self-reported socioeconomic adversity (low occupational position; poor standard of living) and psychosocial adversity (high job strain; few close relationships). Symptoms of depression post-retirement were measured by the Center for Epidemiologic Studies Depression scale. After adjustment for sociodemographic and health-related covariates at baseline and follow-up, there were strong associations between midlife adversities and post-retirement depressive symptoms: low occupational position (odds ratio [OR]: 1.70, 95% confidence interval [CI]: 1.15-2.51), poor standard of living (OR: 2.37, 95% CI: 1.66-3.39), high job strain (OR: 1.52, 95% CI: 1.09-2.14), and few close relationships (OR: 1.51, 95% CI: 1.12-2.03). The strength of the associations between socioeconomic, psychosocial, work-related, or non-work related exposures and depressive symptoms was similar. Robust associations from observational data suggest that several socioeconomic and psychosocial risk factors for symptoms of depression post-retirement can be detected already in midlife.
    The American journal of geriatric psychiatry: official journal of the American Association for Geriatric Psychiatry 04/2014; 23(1). DOI:10.1016/j.jagp.2014.04.001 · 3.52 Impact Factor
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    ABSTRACT: Many patients and healthcare professionals believe that work-related psychosocial stress, such as job strain, can make asthma worse, but this is not corroborated by empirical evidence. We investigated the associations between job strain and the incidence of severe asthma exacerbations in working-age European men and women. We analysed individual-level data, collected between 1985 and 2010, from 102 175 working-age men and women in 11 prospective European studies. Job strain (a combination of high demands and low control at work) was self-reported at baseline. Incident severe asthma exacerbations were ascertained from national hospitalization and death registries. Associations between job strain and asthma exacerbations were modelled using Cox regression and the study-specific findings combined using random-effects meta-analyses. During a median follow-up of 10 years, 1 109 individuals experienced a severe asthma exacerbation (430 with asthma as the primary diagnostic code). In the age- and sex-adjusted analyses, job strain was associated with an increased risk of severe asthma exacerbations defined using the primary diagnostic code (hazard ratio, HR: 1.27, 95% confidence interval, CI: 1.00, 1.61). This association attenuated towards the null after adjustment for potential confounders (HR: 1.22, 95% CI: 0.96, 1.55). No association was observed in the analyses with asthma defined using any diagnostic code (HR: 1.01, 95% CI: 0.86, 1.19). Our findings suggest that job strain is probably not an important risk factor for severe asthma exacerbations leading to hospitalization or death.
    Allergy 04/2014; DOI:10.1111/all.12381 · 6.00 Impact Factor
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    ABSTRACT: Both sleep duration and sleep quality are related to future health, but their combined effects on mortality are unsettled. We aimed to examine the individual and joint effects of sleep duration and sleep disturbances on cause-specific mortality in a large prospective cohort study. We included 9,098 men and women free of pre-existing disease from the Whitehall II study, UK. Sleep measures were self-reported at baseline (1985-1988). Participants were followed until 2010 in a nationwide death register for total and cause-specific (cardiovascular disease, cancer and other) mortality. There were 804 deaths over a mean 22 year follow-up period. In men, short sleep (≤6 hrs/night) and disturbed sleep were not independently associated with CVD mortality, but there was an indication of higher risk among men who experienced both (HR = 1.57; 95% CI: 0.96-2.58). In women, short sleep and disturbed sleep were independently associated with CVD mortality, and women with both short and disturbed sleep experienced a much higher risk of CVD mortality (3.19; 1.52-6.72) compared to those who slept 7-8 hours with no sleep disturbances; equivalent to approximately 90 additional deaths per 100,000 person years. Sleep was not associated with death due to cancer or other causes. Both short sleep and disturbed sleep are independent risk factors for CVD mortality in women and future studies on sleep may benefit from assessing disturbed sleep in addition to sleep duration in order to capture health-relevant features of inadequate sleep.
    PLoS ONE 04/2014; 9(4):e91965. DOI:10.1371/journal.pone.0091965 · 3.53 Impact Factor
  • Epidemiology (Cambridge, Mass.) 03/2014; 25(2):307. DOI:10.1097/EDE.0000000000000056 · 6.18 Impact Factor

Publication Stats

8k Citations
1,365.13 Total Impact Points

Institutions

  • 2011–2015
    • University of Bristol
      • School of Social and Community Medicine
      Bristol, England, United Kingdom
  • 2000–2015
    • University of Helsinki
      • • Department of Dental Public Health
      • • Institute of Behavioural Sciences
      • • 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
  • 2012
    • University Hospital of Lausanne
      Lausanne, Vaud, Switzerland
  • 2008–2012
    • University of Turku
      • • Division of Psychology
      • • Department of Public Health
      Turku, Varsinais-Suomi, Finland
  • 2003–2012
    • Finnish Institute of Occupational Health
      • Centre of Expertise for Work Organizations
      Helsinki, Province of Southern Finland, Finland
  • 2009–2010
    • Stockholm University
      • Stress Research Institute
      Stockholm, Stockholm, Sweden
    • Public Health England
      Londinium, England, United Kingdom
    • National Public Health Institute
      Helsinki, Southern Finland Province, Finland
  • 2008–2010
    • French Institute of Health and Medical Research
      • Centre de Recherche en Épidémiologie et Santé des Populations CESP U1018
      Paris, Ile-de-France, France
  • 2007
    • Warwick Business School
      Warwick, England, United Kingdom
  • 1993–2007
    • London School of Hygiene and Tropical Medicine
      Londinium, England, United Kingdom
  • 2005
    • Karolinska Institutet
      Solna, Stockholm, Sweden
  • 2002
    • University of Tampere
      • Medical School
      Tampere, Western Finland, Finland
  • 1992
    • Middlesex University, UK
      Londinium, England, United Kingdom