TY - JOUR
T1 - Socioeconomic status and depressive symptoms
T2 - An individual-participant data meta-analysis on range restriction and measurement in the United States
AU - Korous, Kevin M.
AU - Bradley, Robert H.
AU - Luthar, Suniya
AU - Li, Longfeng
AU - Levy, Roy
AU - Cahill, Karina M.
AU - Rogers, Charles R.
N1 - Funding Information:
This work was supported by funding from the Graduate College at Arizona State University; 5 For the Fight; the Huntsman Cancer Institute; The V Foundation for Cancer Research; the Department of Family & Preventive Medicine, University of Utah School of Medicine; and the National Cancer Institute [Grant K01CA234319] of the National Institutes of Health (NIH). The content is solely the responsibility of the authors and does not necessarily represent the official views of 5 For the Fight, the V Foundation for Cancer Research, Huntsman Cancer Institute, the University of Utah, or the NIH.
Funding Information:
This work was supported by funding from the Graduate College at Arizona State University ; 5 For the Fight ; the Huntsman Cancer Institute ; The V Foundation for Cancer Research ; the Department of Family & Preventive Medicine, University of Utah School of Medicine ; and the National Cancer Institute [Grant K01CA234319 ] of the National Institutes of Health (NIH). The content is solely the responsibility of the authors and does not necessarily represent the official views of 5 For the Fight, the V Foundation for Cancer Research, Huntsman Cancer Institute, the University of Utah, or the NIH.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Introduction: The association between socioeconomic status (SES) and depressive symptoms is well documented, yet less attention has been paid to the methodological factors contributing to between-study variability. We examined the moderating role of range restriction and the depressive-symptom measurement instrument used in estimating the correlation between components of SES and depressive symptoms. Methods: We conducted an individual participant data meta-analysis of nationally-representative, public-access datasets in the United States. We identified 123 individual datasets with a total of 1,655,991 participants (56.8 % female, mean age = 40.33). Results: The presence of range restriction was associated with larger correlations between income and depressive symptoms and with smaller correlations between years of education and depressive symptoms. The measurement instrument of depressive symptoms moderated the association for income, years of education, and occupational status/prestige. The Center for Epidemiological Studies–Depression scale consistently produced larger correlations. Higher measurement reliability was also associated with larger correlations. Limitations: This study was not a comprehensive review of all measurement instruments of depressive symptoms, focused on datasets from the United States, and did not examine the moderating role of sample characteristics. Discussion: Methodological characteristics, including range restriction of SES and instrument of depressive symptoms, meaningfully influence the observed magnitude of association between SES and depressive symptoms. Clinicians and researchers designing future studies should consider which instrument of depressive symptoms is suitable for their purpose and population.
AB - Introduction: The association between socioeconomic status (SES) and depressive symptoms is well documented, yet less attention has been paid to the methodological factors contributing to between-study variability. We examined the moderating role of range restriction and the depressive-symptom measurement instrument used in estimating the correlation between components of SES and depressive symptoms. Methods: We conducted an individual participant data meta-analysis of nationally-representative, public-access datasets in the United States. We identified 123 individual datasets with a total of 1,655,991 participants (56.8 % female, mean age = 40.33). Results: The presence of range restriction was associated with larger correlations between income and depressive symptoms and with smaller correlations between years of education and depressive symptoms. The measurement instrument of depressive symptoms moderated the association for income, years of education, and occupational status/prestige. The Center for Epidemiological Studies–Depression scale consistently produced larger correlations. Higher measurement reliability was also associated with larger correlations. Limitations: This study was not a comprehensive review of all measurement instruments of depressive symptoms, focused on datasets from the United States, and did not examine the moderating role of sample characteristics. Discussion: Methodological characteristics, including range restriction of SES and instrument of depressive symptoms, meaningfully influence the observed magnitude of association between SES and depressive symptoms. Clinicians and researchers designing future studies should consider which instrument of depressive symptoms is suitable for their purpose and population.
KW - Bias
KW - Depressive symptoms
KW - Measurement instrument
KW - Meta-analysis
KW - Range restriction
KW - Socioeconomic status
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U2 - 10.1016/j.jad.2022.06.090
DO - 10.1016/j.jad.2022.06.090
M3 - Review article
C2 - 35798179
AN - SCOPUS:85133788469
SN - 0165-0327
VL - 314
SP - 50
EP - 58
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -