Related Experiment Video
Updated: Feb 24, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Status inconsistency and mental health: A random effects and instrumental variables analysis using 14 annual waves of
Allison Milner1, Zoe Aitken2, Anne Kavanagh2
1Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Work, Health and Wellbeing Unit, Population Health Research Centre, School of Health & Social Development, Deakin University, Melbourne, Australia.
Abstract:
Status inconsistency refers to a discrepancy between the position a person holds in one domain of their social environment comparative to their position in another domain. For example, the experience of being overeducated for a job, or not using your skills in your job. We sought to assess the relationship between status inconsistency and mental health using 14 annual waves of cohort data. We used two approaches to measuring status inconsistency: 1) being overeducated for your job (objective measure); and b) not using your skills in your job (subjective measure). We implemented a number of methodological approaches to assess the robustness of our findings, including instrumental variable, random effects, and fixed effects analysis. Mental health was assessed using the Mental Health Inventory-5. The random effects analysis indicates that only the subjective measure of status inconsistency was associated with a slight decrease in mental health (β-1.57, 95% -1.78 to -1.36, p < 0.001). This size of these coefficients was maintained in the instrumental variable analysis. We suggest that status inconsistency might explain some of the relationship between social determinants (such as work and education) and health outcomes.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
07:40Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
Related Concept Videos
Longitudinal Studies
Longitudinal Research
Regression Toward the Mean
Bias in Epidemiological Studies
Statistical Methods for Analyzing Epidemiological Data
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...