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metadata language: English


Resource Type
Dataset : census/enumeration data, clinical data, observational data, survey data
  • Kaveladze, Benjamin (University of California-Irvine)
  • Diamond Altman, Allison (University of California-Berkeley)
  • Niederhausen, Meike (VA Portland Health Care System; Oregon Health & Science University-Portland State University School of Public Health)
  • Loftis, Jennifer M. (VA Portland Health Care System; Oregon Health & Science University)
  • Teo, Alan R. (VA Portland Health Care System; Oregon Health & Science University-Portland State University School of Public Health; Oregon Health & Science University)
Publication Date
Free Keywords
social relationships; depression (psychology); inflammation; psychoneuroimmunology; prospective study
  • Abstract

    Dataset and analysis code for "Social Relationship Quality, Depression and Inflammation: A Cross-Cultural Longitudinal Study in the United States and Japan". Email Benjamin Kaveladze at with any questions.
Temporal Coverage
  • 2004-01-01 / 2010-12-31
    Time Period: Thu Jan 01 00:00:00 EST 2004--Fri Dec 31 00:00:00 EST 2010
Geographic Coverage
  • United States and Tokyo, Japan
Sampled Universe
Non-institutionalized adults from the United States and Japan.
Collection Mode
  • Harmonization of measures between MIDUS and MIDJA allows for cross-cultural comparisons. All data in the present study come from United States participants who completed MIDUS II and MIDUS II Biomarker (n=1,054), and Japan participants who completed MIDJA I and MIDJA I Biomarker (n=273).

This study is freely available to the general public via web download.
  • Has version
    DOI: 10.3886/E121261V1

Update Metadata: 2020-09-08 | Issue Number: 1 | Registration Date: 2020-09-08

Kaveladze, Benjamin; Diamond Altman, Allison; Niederhausen, Meike; Loftis, Jennifer M.; Teo, Alan R. (2020): Social-Relationship-Quality-Depression-and-Inflammation-A-Cross-Cultural-Longitudinal-Study. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.