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journals Long working hours and depressive symptoms: systematic review and meta-analysis of published studies and unpublished individual participant data

2018 ◽  
Vol 44 (3) ◽  
pp. 239-250 ◽  
Author(s):  
Marianna Virtanen ◽  
Markus Jokela ◽  
Ida EH Madsen ◽  
Linda L Magnusson Hanson ◽  
Tea Lallukka ◽  
...  
Keyword(s):  
Systematic Review ◽  
Depressive Symptoms ◽  
Meta Analysis ◽  
Working Hours ◽  
Individual Participant Data ◽  
Long Working Hours ◽  
Individual Participant

scholarly journals Long working hours and alcohol use: systematic review and meta-analysis of published studies and unpublished individual participant data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

Racial/Ethnic Disparities of Depressive Symptoms in the United States A Systematic Review and Meta-Analysis of Individual Participant Data

2022 ◽  
Author(s):  
José M. Causadias ◽  
Kevin Michael Korous ◽  
Karina M Cahill ◽  
Eiko I Fried ◽  
Longfeng Li
Keyword(s):  
Systematic Review ◽  
Depressive Symptoms ◽  
Meta Analysis ◽  
Ethnic Disparities ◽  
The United States ◽  
Individual Participant Data ◽  
Individual Participant ◽  
Nationally Representative ◽  
Minority Participants ◽  
Racial Ethnic

Although a growing body of research has documented racial/ethnic disparities in depressive symptoms in the United States, the precise magnitude of these differences is not known. We conducted a systematic review and meta-analysis of individual participant data to (1) estimate the average difference of depressive symptoms between Whites and racial/ethnic minorities, as well as differences between (i.e., Asian American, African American, Latinxs, Multiracial, Native American, other race) and within (i.e., Latinx: Central American, Cuban American, Mexican American, Puerto Rican, other Latinx) minority groups, and (2) determine if moderators account for these differences. We screened 2,425 nationally-representative studies from the Inter-university Consortium for Political and Social Research (ICPSR), and identified 127 datasets of studies conducted from 1971 to 2018. We included 73 datasets from 26 nationally-representative studies (N = 2,116,853). The average absolute difference was d = 0.09, 95% CI [0.07, 0.12] between White and minority participants; was d = 0.07, 95% CI [0.06, 0.09] between minority participants; and d = 0.10, 95% CI [0.06, 0.15] within minority Latinx participants. Increases in socioeconomic status exacerbated these disparities. Psychometric analyses showed that measure reliability was related to larger differences. We discuss the implications of these findings.

Protocol for a Systematic Review and Meta-Analysis of Individual Participant Data on the Magnitude of Racial Disparities of Depressive Symptoms in the United States

2018 ◽  
Author(s):  
José M. Causadias ◽  
Kevin Michael Korous ◽  
Karina M Cahill ◽  
Eiko I Fried ◽  
Longfeng Li
Keyword(s):  
United States ◽  
Systematic Review ◽  
Depressive Symptoms ◽  
Racial Disparities ◽  
Sex Education ◽  
Mexican Americans ◽  
Meta Analysis ◽  
The United States ◽  
Individual Participant Data ◽  
Individual Participant

A growing body of research has documented racial disparities in depressive symptoms in the United States, although the precise magnitude on these differences is less well understood. This issue has important implications for informing public health policy, and developing and administering prevention and intervention strategies. In this protocol, we propose a systematic review and meta-analysis of individual participant data from nationally representative studies from the United States drawn from Inter-university Consortium for Political and Social Research (ICPSR). Our three aims are to: 1) Estimate the overall average difference of depressive symptoms between Whites and minorities, as well as between- (e.g., African-Americans, Latinos) and within- (e.g., Latinos: Mexican-Americans, Cuban-Americans) minority groups; 2) Determine if age, sex, education, income, occupation, socioeconomic status, and other variables account for these differences; 3) Test the cultural differences and similarities hypotheses. We argue that these health disparities are the result of social inequalities.

scholarly journals Effects of mechanical interventions in the management of knee osteoarthritis: protocol for an OA Trial Bank systematic review and individual participant data meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043026
Author(s):  
Erin M Macri ◽  
Michael Callaghan ◽  
Marienke van Middelkoop ◽  
Miriam Hattle ◽  
Sita M A Bierma-Zeinstra
Keyword(s):  
Systematic Review ◽  
Knee Osteoarthritis ◽  
Broad Class ◽  
Meta Analysis ◽  
Individual Participant Data ◽  
Knee Oa ◽  
International Regulations ◽  
Individual Participant ◽  
Registration Number ◽  
Mechanical Intervention

IntroductionKnee osteoarthritis (OA) is a prevalent and disabling musculoskeletal condition. Biomechanical factors may play a key role in the aetiology of knee OA, therefore, a broad class of interventions involves the application or wear of devices designed to mechanically support knees with OA. These include gait aids, bracing, taping, orthotics and footwear. The literature regarding efficacy of mechanical interventions has been conflicting or inconclusive, and this may be because certain subgroups with knee OA respond better to mechanical interventions. Our primary aim is to identify subgroups with knee OA who respond favourably to mechanical interventions.Methods and analysisWe will conduct a systematic review to identify randomised clinical trials of any mechanical intervention for the treatment of knee OA. We will invite lead authors of eligible studies to share individual participant data (IPD). We will perform an IPD meta-analysis for each type of mechanical intervention to evaluate efficacy, with our main outcome being pain. Where IPD are not available, this will be achieved using aggregate data. We will then evaluate five potential treatment effect modifiers using a two-stage approach. If data permit, we will also evaluate whether biomechanics mediate the effects of mechanical interventions on pain in knee OA.Ethics and disseminationNo new data will be collected in this study. We will adhere to institutional, national and international regulations regarding the secure and confidential sharing of IPD, addressing ethics as indicated. We will disseminate findings via international conferences, open-source publication in peer-reviewed journals and summaries posted on websites serving the public and clinicians.PROSPERO registration numberCRD42020155466.

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