scholarly journals Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies

2019 ◽  
Vol 44 (6) ◽  
pp. 1368-1375 ◽  
Author(s):  
Marianna Virtanen ◽  
Markus Jokela ◽  
Tea Lallukka ◽  
Linda Magnusson Hanson ◽  
Jaana Pentti ◽  
...  
Keyword(s):  
Weight Loss ◽  
Cohort Studies ◽  
Working Hours ◽  
Excess Risk ◽  
Adjusted Relative Risk ◽  
Individual Participant Data ◽  
Long Working Hours ◽  
Individual Participant ◽  
Part Time

Abstract Objective To examine the relation between long working hours and change in body mass index (BMI). Methods We performed random effects meta-analyses using individual-participant data from 19 cohort studies from Europe, US and Australia (n = 122,078), with a mean of 4.4-year follow-up. Working hours were measured at baseline and categorised as part time (<35 h/week), standard weekly hours (35–40 h, reference), 41–48 h, 49–54 h and ≥55 h/week (long working hours). There were four outcomes at follow-up: (1) overweight/obesity (BMI ≥ 25 kg/m2) or (2) overweight (BMI 25–29.9 kg/m2) among participants without overweight/obesity at baseline; (3) obesity (BMI ≥ 30 kg/m2) among participants with overweight at baseline, and (4) weight loss among participants with obesity at baseline. Results Of the 61,143 participants without overweight/obesity at baseline, 20.2% had overweight/obesity at follow-up. Compared with standard weekly working hours, the age-, sex- and socioeconomic status-adjusted relative risk (RR) of overweight/obesity was 0.95 (95% CI 0.90–1.00) for part-time work, 1.07 (1.02–1.12) for 41–48 weekly working hours, 1.09 (1.03–1.16) for 49–54 h and 1.17 (1.08–1.27) for long working hours (P for trend <0.0001). The findings were similar after multivariable adjustment and in subgroup analyses. Long working hours were associated with an excess risk of shift from normal weight to overweight rather than from overweight to obesity. Long working hours were not associated with weight loss among participants with obesity. Conclusions This analysis of large individual-participant data suggests a small excess risk of overweight among the healthy-weight people who work long hours.

scholarly journals Long working hours and alcohol use: systematic review and meta-analysis of published studies and unpublished individual participant data

BMJ ◽  
2015 ◽  
Vol 350 (jan12 13) ◽  
pp. g7772-g7772 ◽  
Author(s):  
M. Virtanen ◽  
M. Jokela ◽  
S. T. Nyberg ◽  
I. E. H. Madsen ◽  
T. Lallukka ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alcohol Use ◽  
Meta Analysis ◽  
Working Hours ◽  
Individual Participant Data ◽  
Long Working Hours ◽  
Individual Participant

scholarly journals Subclinical thyroid dysfunction and depressive symptoms: protocol for a systematic review and individual participant data meta-analysis of prospective cohort studies

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e029716
Author(s):  
Lea Wildisen ◽  
Elisavet Moutzouri ◽  
Shanthi Beglinger ◽  
Lamprini Syrogiannouli ◽  
Anne R Cappola ◽  
...  
Keyword(s):  
Systematic Review ◽  
Depressive Symptoms ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Thyroid Dysfunction ◽  
Meta Analysis ◽  
Individual Participant Data ◽  
Prospective Cohort Studies ◽  
Individual Participant

IntroductionProspective cohort studies on the association between subclinical thyroid dysfunction and depressive symptoms have yielded conflicting findings, possibly because of differences in age, sex, thyroid-stimulating hormone cut-off levels or degree of baseline depressive symptoms. Analysis of individual participant data (IPD) may help clarify this association.Methods and analysisWe will conduct a systematic review and IPD meta-analysis of prospective studies on the association between subclinical thyroid dysfunction and depressive symptoms. We will identify studies through a systematic search of the literature in the Ovid Medline, Ovid Embase, Cochrane Central Register of Controlled Trials (CENTRAL) and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases from inception to April 2019 and from the Thyroid Studies Collaboration. We will ask corresponding authors of studies that meet our inclusion criteria to collaborate by providing IPD. Our primary outcome will be depressive symptoms at the first available individual follow-up, measured on a validated scale. We will convert all the scores to the Beck Depression Inventory scale. For each cohort, we will estimate the mean difference of depressive symptoms between participants with subclinical hypothyroidism or hyperthyroidism and control adjusted for depressive symptoms at baseline. Furthermore, we will adjust our multivariable linear regression analyses for age, sex, education and income. We will pool the effect estimates of all studies in a random-effects meta-analysis. Heterogeneity will be assessed by I2. Our secondary outcomes will be depressive symptoms at a specific follow-up time, at the last available individual follow-up and incidence of depression at the first, last and at a specific follow-up time. For the binary outcome of incident depression, we will use a logistic regression model.Ethics and disseminationFormal ethical approval is not required as primary data will not be collected. Our findings will have considerable implications for patient care. We will seek to publish this systematic review and IPD meta-analysis in a high-impact clinical journal.PROSPERO registration numberCRD42018091627.

Abstract P209: Heterogeneity of Absolute/Relative Measures of Cardiovascular Mortality Among Cohorts in an Individual Participant Data Meta-Analysis: An EPOCH-JAPAN Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Yoshitaka Murakami ◽  
Tomonori Okamura ◽  
Katsuyuki Miura ◽  
Hirotsugu Ueshima ◽  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Mortality Rates ◽  
Individual Participant Data ◽  
Individual Participant ◽  
Rate Ratios ◽  
Meta Analyses

Introduction: Individual participant data (IPD) meta-analyses involve participant-level data from multiple cohort studies. However, these cohorts have different periods (years) of follow-up, target regions, and distributions of risk factors (including patient age). It remains unclear if these variations affect the heterogeneity of absolute/relative measures of mortality in cardiovascular disease (CVD), stroke, and coronary heart disease (CHD) among cohorts. Hypothesis: There is diverse heterogeneity in absolute measures of mortality, but negligible heterogeneity in relative measures among cohorts in IPD meta-analyses. Methods: The Evidence for Cardiovascular Prevention from Observational Cohorts in Japan (EPOCH-JAPAN) study is an IPD meta-analysis of cardiovascular epidemiology. This project comprises 14 cohort studies with 105,945 Japanese subjects (total CVD deaths: 5,314). First, we examined the correlation between the follow-up periods of the baseline surveys and multivariate-adjusted mortality rates (CVD, stroke, and CHD) among the cohorts. Next, we estimated the cohort-specific mortality rates that adjusted for the stated follow-up periods, regions, age, and other risk factors using Poisson regression. Finally, we explored the heterogeneity of multivariate-adjusted mortality rates, mortality rate ratios, and rate ratios of 10-mmHg increases in systolic blood pressure using Higgins’s I 2 , which measures heterogeneity in meta-analyses. Results: High correlations were observed between the stated follow-up periods of the cohorts and their mortality rates (CVD [men, -0.70; women, -0.79], stroke [men, -0.65; women, -0.73], CHD [men, -0.24; women, -0.89]). In the multivariate-adjusted mortality rates, we observed clear heterogeneity in mortality rates among the cohorts (CVD [I 2 : men, 98.6%; women, 99.3%], stroke [I 2 : men, 98.5%; women, 98.3%], and CHD [I 2 : men, 98.2%; women 92.4%]). In the rate ratio comparison of 10-mmHg increases in systolic blood pressure, no heterogeneity was detected among the cohorts (CVD [I 2 : men, 0.0%; women, 17.9%]). Our results indicated that the ratio measure, which shows the magnitude of each risk factor, was stable even in the heterogeneity of absolute measures. Conclusions: A clear heterogeneity in mortality was observed in absolute measures, but not in relative measures, among cohorts after adjusting for the periods of follow-up, regions, and other risk factors.

scholarly journals Shift work, long working hours, and later risk of dementia: A long-term follow-up of the Copenhagen Male Study

2017 ◽  
Author(s):  
Kirsten Nabe-Nielsen ◽  
Anne Helene Garde ◽  
Kazi Ishtiak-Ahmed ◽  
Finn Gyntelberg ◽  
Erik Lykke Mortensen ◽  
...  
Keyword(s):  
Shift Work ◽  
Working Hours ◽  
Long Working Hours ◽  
Long Term Follow Up

Convincing the toilers?

2006 ◽  
Vol 20 (2) ◽  
pp. 349-368 ◽  
Author(s):  
Brigid van Wanrooy ◽  
Shaun Wilson
Keyword(s):  
Multivariate Analysis ◽  
Family Life ◽  
Working Hours ◽  
Social Attitudes ◽  
Working Time ◽  
Long Working Hours ◽  
Men And Women ◽  
Time Regime ◽  
Part Time ◽  
Per Capita

Australians work comparatively long hours and, in recent years, most of the growth in per capita working hours has come from workers already employed full time.Yet, despite the problems long working hours can cause, this trend has not attracted political attention. Increasingly, the Australian working time regime is a weak regulator of working hours and promotes only limited equality between the working hours of men and women. This article uses responses from the Australian Survey of Social Attitudes 2003 to investigate whether workers' preferences are in accord with regime institutions. We find that people who work long hours are no less inclined than those who work standard hours or part time to see working hours as a choice and they do this despite more often reporting that their work interferes with family life and that employers expect long hours from them. We contend that seeing long working hours as a choice may be the product of the ‘liberal’ working time regime itself. Multivariate analysis of the responses suggest that structural pressures work to strengthen perceptions that there is a problem with long working hours and prompt the belief that long hours are not freely chosen. Implications of these findings tell us something about possible future regulation.

The weight change impact on metabolic syndrome: a 17-year follow-up study

Open Medicine ◽  
2011 ◽  
Vol 6 (6) ◽  
pp. 788-794 ◽  
Author(s):  
Magdalena Kwaśniewska ◽  
Dorota Kaleta ◽  
Anna Jegier ◽  
Tomasz Kostka ◽  
Elżbieta Dziankowska-Zaborszczyk ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Metabolic Risk ◽  
Adjusted Relative Risk ◽  
Prospective Longitudinal ◽  
The Impact

AbstractIntroduction: Data on long-term patterns of weight change in relation to the development of metabolic syndrome (MetS) are scarce. The aim of the study was to evaluate the impact of weight change on the risk of MetS in men. Material and Methods: Prospective longitudinal observation (17.9 ± 8.1 years) of apparently healthy 324 men aged 18–64 years. Metabolic risk was assessed in weight gain (⩾ 2.5 kg), stable weight (> −2.5 kg and < 2.5 kg) and weight loss (⩽ −2.5 kg) groups. Adjusted relative risk (RR) of MetS was analyzed using multivariate logistic regression. Results: The prevalence of MetS over follow-up was 22.5%. There was a strong relationship between weight gain and worsening of MetS components among baseline overweight men. Long-term increase in weight was most strongly related with the risk of abdominal obesity (RR=7.26; 95% CI 2.98–18.98), regardless of baseline body mass index (BMI). Weight loss was protective against most metabolic disorders. Leisure-time physical activity (LTPA) with energy expenditure > 2000 metabolic equivalent/min/week was associated with a significantly lower risk of MetS. Conclusions: Reducing weight among overweight and maintaining stable weight among normal-weight men lower the risk of MetS. High LTPA level may additionally decrease the metabolic risk regardless of BMI.

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