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Bioindicators in the MIDUS National Study: Protocol, Measures, Sample, and Comparative Context
Open accessAbstract
Objectives: Midlife in the United States (MIDUS) is a national study of health and aging among individuals aged 25 to 74 at baseline (1995-1996). Longitudinal survey assessments (2004-2005), were followed by biological assessments on a subsample (aged 35-85).To facilitate public use, we describe the protocol, measures, and sample. Method: Respondents traveled to clinics for a 2-day data-collection protocol that included fasting blood specimens, 12-hr urine specimen, medical history, physical exam, bone densitometry, and a laboratory challenge (heart rate variability, blood pressure, respiration, salivary cortisol). Results: Response rates for the biological protocol ( N = 1,255) were 39.3% or 43.1% (adjusting for those who could not be located or contacted). Reasons for nonparticipation were travel, family obligations, and being too busy. Respondents were comparable to the recruitment pool on most demographic characteristics and health assessments. Discussion: Strengths of the protocol vis-à-vis similar studies include opportunities to link biological factors with diverse content from other MIDUS projects.
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“In contrast, in a U.S. sample of African-Americans (39), the depression facet of neuroticism was associated with higher CRP in participants with lower education, but lower CRP in those with greater education.”
From Socioeconomic Status Interacts with Conscientiousness and Neuroticism to Predict Circulating Concentrations of Inflammatory Markers (2017) · cites this paper as [39]
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“While the opposite pattern of interaction was observed in a Scottish cohort (38), a similar pattern involving a measure of trait depression emerged in a sample of African-Americans (39).”
From Socioeconomic Status Interacts with Conscientiousness and Neuroticism to Predict Circulating Concentrations of Inflammatory Markers (2017) · cites this paper as [39]
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“The research was further supported by NIH/NIA grants (P01 AG020166 and R01AG019239) and the following grants M01-RR023942 (Georgetown), M01-RR00865 (UCLA) from the General Clinical Research Centers Program and UL1TR000427 (UW) from the National Center for Advancing Translational Sciences (NCATS), National Institutes o…”
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Does optimal parenting style help offspring maintain healthy weight into mid-life?
Chen, Y., Kawachi, I. I., Berkman, L. F., Trudel‐Fitzgerald, C., & Kubzansky, L. D. (2019) · Preventive Medicine · doi:10.1016/j.ypmed.2019.03.001 · Cited by 57
Subjective well-being and cardiometabolic health: An 8–11year study of midlife adults
Boehm, J. K., Chen, Y., Williams, D. R., Ryff, C. D., & Kubzansky, L. D. (2016) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2016.03.018 · Cited by 56
“However, participants in the biomarker assessment did not differ from participants in the larger survey based on age, sex, race, marital status, income, chronic conditions, or body mass index, although they were more highly educated [15].”
Self-citationElliot, A. J., & Chapman, B. P. (2016) · Health Psychology · doi:10.1037/hea0000392 · Cited by 56
Friedman, E. M., Christ, S. L., & Mroczek, D. K. (2015) · Journal of Aging and Health · doi:10.1177/0898264315569453 · Cited by 54
The Association Between Bereavement and Biomarkers of Inflammation
Cohen, M. W., Granger, S., & Fuller‐Thomson, E. (2013) · Behavioral Medicine · doi:10.1080/08964289.2013.866539 · Cited by 58
“Details on study protocol and content are available elsewhere.(37) The present analysis was based on a subsample of the 1255 participants in the Biomarkers study.”
BackgroundMethodInfluentialRodríguez, J. M., Karlamangla, A. S., Gruenewald, T. L., Miller‐Martinez, D., Merkin, S. S., & Seeman, T. E. (2019) · Journal of Biosocial Science · doi:10.1017/s0021932018000378 · Cited by 56
Self-citationFuller‐Rowell, T. E., Curtis, D. S., Chae, D. H., & Ryff, C. D. (2018) · Health Psychology · doi:10.1037/hea0000616 · Cited by 52
Self-citationCrandall, C. J., Merkin, S. S., Seeman, T. E., Greendale, G. A., Binkley, N., & Karlamangla, A. S. (2012) · Bone · doi:10.1016/j.bone.2012.04.009 · Cited by 49
“subjective health status, chronic health conditions, exercise, alcohol use) were similar to those of the MIDUS II participants as a whole [17].”
BackgroundResultInfluentialSelf-citationCostello-White, R., Ryff, C. D., & Coe, C. L. (2015) · AGE · doi:10.1007/s11357-015-9808-7 · Cited by 48
“Those providing blood and urine were similar to the larger study sample with respect to age, gender, and marital status, but likely to be more educated (although 25 % still had attained only a high school degree and 50 % had not completed college) (Love et al. 2010).”
BackgroundSelf-citationBellinger, D. L., Berk, L., Koenig, H. G., Daher, N. S., Pearce, M., Robins, C. J., Nelson, B., Shaw, S. F., Cohen, H. J., & King, M. (2014) · Open Journal of Psychiatry · doi:10.4236/ojpsych.2014.44040 · Cited by 49
“for more details [64]).”
Varieties of Anger and the Inverse Link Between Education and Inflammation
Boylan, J. M., & Ryff, C. D. (2013) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31829683bd · Cited by 49
“First, study participants were better educated than the pool from which they were recruited, although more than half of the sample did not complete college (52), and only 7.”
BackgroundMethodInfluentialSelf-citationAssari, S., & Lankarani, M. M. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00140 · Cited by 48
Owens, S. L., Hunte, H. E. R., Sterkel, A. L., Johnson, D. A., & Johnson‐Lawrence, V. (2016) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000428 · Cited by 50
“SOL is defined as the amount of time elapsed from “lights out” (the beginning of the rest interval) to when sleep was actually initiated (33).”
BackgroundMethodInfluentialZainal, N. H., & Newman, M. G. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.08.077 · Cited by 48
“inflammation assays based on a standard protocol (Love et al., 2010).”
BackgroundMethodLindert, J., Paul, K. C., Lachman, M. E., Ritz, B. R., & Seeman, T. E. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.665742 · Cited by 54
“Our analytical sample consists of a subsample of MIDUS participants who provided information on anxiety-, depression-, and anger symptoms at MIDUS -II (the “Biomarker” subsample) and on cognition at MIDUS-II and MIDUSIII (44) (Supplemental Material Table 1: Flowchart of the analytical sample).”
MethodResultInfluentialSelf-citationOng, A. D., & Williams, D. R. (2019) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/cdp0000233 · Cited by 49
“Urine was collected during a 12-hr (19:00 h to 07:00 h) overnight stay (for details, see Love et al., 2010).”
Miller, G. E., Chen, E., Yu, T., & Brody, G. H. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.015698 · Cited by 49
Psychological resources and glucoregulation in Japanese adults: Findings from MIDJA.
Boylan, J. M., Tsenkova, V. K., Miyamoto, Y., & Ryff, C. D. (2017) · Health Psychology · doi:10.1037/hea0000455 · Cited by 45
Self-citationElliot, A. J., Heffner, K. L., Mooney, C. J., Moynihan, J. A., & Chapman, B. P. (2017) · Journal of Aging and Health · doi:10.1177/0898264317698551 · Cited by 47
“The biomarker sample was comparable with the broader MIDUS 2 sample on most sociodemographic and health characteristics, although participants were more likely to have a college degree and less likely to smoke (Love et al., 2010).”
Age, Daily Stress Processes, and Allostatic Load: A Longitudinal Study
Piazza, J. R., Stawski, R. S., & Sheffler, J. (2018) · Journal of Aging and Health · doi:10.1177/0898264318788493 · Cited by 45
Pereira, S. M. P., Merkin, S. S., Seeman, T. E., & Power, C. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.01.016 · Cited by 45
Self-citationRace, Education Attainment, and Happiness in the United States
Assari, S. (2019) · International journal of epidemiologic research · doi:10.15171/ijer.2019.14 · Cited by 45
Perceived social support and chronic inflammation: The moderating role of self-esteem.
Lee, D. S., & Way, B. M. (2019) · Health Psychology · doi:10.1037/hea0000746 · Cited by 43
The Biobehavioral Family Model: Close relationships and allostatic load
Priest, J. B., Woods, S., Maier, C. A., Parker, E. O., Benoit, J. A., & Roush, T. R. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2015.08.026 · Cited by 43
“This study focuses specifically on those in the sample that completed the bio-indicators and health protocol of MIDUS II also known as Project 4 (Love et al., 2010).”
BackgroundMethodInfluentialDirect and indirect associations of cognitive reappraisal and suppression with disease biomarkers
Ellis, E. M., Prather, A. A., Grenen, E. G., & Ferrer, R. A. (2019) · Psychology and Health · doi:10.1080/08870446.2018.1529313 · Cited by 47
“Compared to the broader MIDUS sample, Biomarkers Project participants had higher levels of formal education, were more likely to have health insurance, and less likely to be a current smoker (Dienberg Love et al., 2010).”
BackgroundMethodResultInfluentialIncreased inflammation predicts nine-year change in major depressive disorder diagnostic status.
Zainal, N. H., & Newman, M. G. (2021) · Journal of Abnormal Psychology · doi:10.1037/abn0000716 · Cited by 46
“10 pg/ml were reanalyzed and rerun in diluted sera to conform to the normal distribution (Love et al., 2010).”
MethodLongitudinal associations between marital quality and sleep quality in older adulthood
Lee, J. H., Chopik, W. J., & Schiamberg, L. B. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9850-2 · Cited by 43
“Responding to these limitations, recent studies are integrating more objective indicators of sleep quality (e.g., wrist actigraphy, polysomnography; Anderson et al., 2014; Appelhans et al., 2013; Lauderdale et al., 2014; Love et al., 2010).”
BackgroundHartanto, A., & Yong, J. C. (2018) · PeerJ · doi:10.7717/peerj.5624 · Cited by 40
“Furthermore, a subset of participants from the MIDUS II study also participated in a biomarker project where professional clinicians collected their height and weight information (Love et al., 2010).”
BackgroundGlei, D. A., Goldman, N., Школьников, В. М., Jdanov, D. A., Shkolnikova, M. A., Vaupel, J. W., & Weinstein, M. (2013) · Stress · doi:10.3109/10253890.2013.789015 · Cited by 41
“Of these, 338 respondents were deemed ineligible because existing health information indicated that travel to the clinic would entail excessive risk to the respondent or project staff (Love et al., 2010).”
BackgroundMethodSelf-citationFrom Childhood Trauma to Elevated C-Reactive Protein in Adulthood
Schrepf, A., Markon, K. E., & Lutgendorf, S. K. (2014) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000072 · Cited by 45
“CRP was assayed by immunophelometric assay using a BNII nephelometer (Dade Behring Inc) Additional information about collection procedures is available (36).”
MethodDo biological measures mediate the relationship between education and health: A comparative study
Goldman, N., Turra, C. M., Rosero‐Bixby, L., Weir, D. R., & Crimmins, E. M. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.11.004 · Cited by 43
Betz, L. T., Penzel, N., Rosen, M., & Kambeitz, J. P. (2020) · Psychological Medicine · doi:10.1017/s003329172000135x · Cited by 45
Metadata
- Authors
- Dienberg Love, G., Seeman, T. E., Weinstein, M., & Ryff, C. D.
- Affiliations
- University of Wisconsin, Madison,
- University of California, Los Angeles (US)
- Georgetown University (US)
- University of Wisconsin–Madison (US)
- Venue
- Journal of Aging and Health
- Publisher
- SAGE Publications
- Published
- 2010-09-27
- Volume
- 22
- Issue
- 8
- Pages
- 1059-1080
- ISSN
- 0898-2643 (ISSN-L)
- 1552-6887
- PMC
- PMC2972372
- OpenAlex
- W1967392886
- Cited by
- 333
- References
- 18
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 20 · 2023: 26 · 2022: 21 · 2021: 25 · 2020: 21 · 2019: 24 · 2018: 23 · 2017: 19 · 2016: 22 · 2015: 22 · 2014: 24 · 2013: 17 · 2012: 12
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Aging and Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Georgetown University
- National Institute on Aging (P01AG020166)
- National Center for Research Resources ((M01 RR00865), M01RR023942, UL1RR025011, M01RR000865)
- NIH Clinical Center
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- bioindicators, MIDUS, midlife health, aging, biological evaluation, urine collection, bone densitometry, heart rate variability, blood pressure, salivary cortisol, respiration, response rate, non-participation, health and aging
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Blood Pressure, Clinical Protocols, Data Collection, Fasting, Female, Health Status, Health Surveys, Heart Rate, Humans, Longitudinal Studies, Male, Middle Aged, Patient Participation, Surveys and Questionnaires, Saliva, United States, Program Evaluation, Biomarkers, Bone Density
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