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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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ResultDepression and worry symptoms predict future executive functioning impairment via inflammation
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Childhood Socioeconomic Disadvantage and Prediabetes and Diabetes in Later Life
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InfluentialSelf-citationEmotional and instrumental support during childhood and biological dysregulation in mid-life
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Charles, S. T., Mogle, J. A., Piazza, J. R., Karlamangla, A. S., & Almeida, D. M. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.104516 · Cited by 36
“The Biomarker project included an overnight visit at one of three regional centers (Georgetown, DC; Los Angeles, CA; Madison, Wisconsin), and entailed a medical exam/history, assessments of physical health and physiological functioning, and the collection of a wide array of biomarkers (Love et al., 2010).”
MethodSchwartz, J. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.06.006 · Cited by 34
Mauss, D., & Jarczok, M. N. (2021) · Stress · doi:10.1080/10253890.2020.1869935 · Cited by 34
“Informed written consent was obtained from all participants (Dienberg Love et al., 2010).”
MethodBeyond Self‐Reports: Changes in Biomarkers as Predictors of Mortality
Glei, D. A., Goldman, N., Rodríguez, G., & Weinstein, M. (2014) · Population and Development Review · doi:10.1111/j.1728-4457.2014.00676.x · Cited by 29
Self-citationPrecipitous Dehydroepiandrosterone Declines Reflect Decreased Physical Vitality and Function
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Self-citationLinking cognition and frailty in middle and old age: metabolic syndrome matters
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“Institutional Review Board approval was obtained for each study project at each study site, and informed written consent was obtained from all participants (Dienberg Love et al., 2011).”
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“The M2 biological subsample was comparable to the M2 survey sample on most demographic and health characteristics, although they were more educated and less likely to smoke than nonparticipants (Love et al., 2010).”
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“…sample on most demographic and health characteristics (age, gender, race, marital status, personal income, self-rated health, body mass index [BMI], chronic conditions, physician visits), although they were more educated and less likely to smoke than nonparticipants (Dienberg Love et al., 2010).”
BackgroundSelf-citationRace Differences in Age-Trends of Autonomic Nervous System Functioning
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Self-citationPositive and Negative Affect More Concurrent among Blacks than Whites
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“In the current study, cortisol was assessed in the morning (see Love et al., 2010).”
InfluentialParental History of Diabetes, Positive Affect, and Diabetes Risk in Adults: Findings from MIDUS
Tsenkova, V. K., Karlamangla, A. S., & Ryff, C. D. (2016) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9810-z · Cited by 33
“The biological sample was comparable with overall MIDUS 2 sample on most sociodemographic and health characteristics, although the participants were significantly better educated and less likely to smoke than non-participants [40].”
Self-citationDepressive symptom profiles, cardio-metabolic risk and inflammation: Results from the MIDUS study
Chirinos, D. A., Murdock, K. W., LeRoy, A. S., & Fagundes, C. P. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.04.011 · Cited by 35
“Details on the biomarker sample and protocol have been previously described (Dienberg Love et al., 2010).”
Birditt, K. S., Cichy, K. E., & Almeida, D. M. (2011) · Race and Social Problems · doi:10.1007/s12552-011-9058-y · Cited by 31
“We acknowledge that this recruitment strategy may limit the representativeness of the sample.”
BackgroundPiazza, J. R., Dmitrieva, N., Charles, S. T., Almeida, D. M., & Orona, G. A. (2018) · Health Psychology · doi:10.1037/hea0000629 · Cited by 37
Multimorbidity, inflammation, and disability: a longitudinal mediational analysis
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“Between 2003 and 2005, blood specimens were obtained, enabling the determination of cytokines and other biomarkers for each twin pair (Love et al., 2010).”
BackgroundResultSelf-citationDispositional Gratitude Moderates the Association between Socioeconomic Status and Interleukin-6
Hartanto, A., Lee, S. T. H., & Yong, J. C. (2019) · Scientific Reports · doi:10.1038/s41598-018-37109-1 · Cited by 29
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“Other details of the MIDUS study biomarker protocol are available elsewhere.(15,16) According to the Declaration of Helsinki, this study was granted full ethical approval as part of the biomarker study of MIDUS 2.”
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“Full measurement methods have been described in detail elsewhere.(21,22) In this study, body mass index (BMI) ≥ 25 was defined as overweight or obesity.”
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“Participants in the present study enrolled in the Study of Midlife in the United States (MIDUS) Biomarker Project (n = 1255; 2004 – 2009) (Dienberg et al., 2010) or MIDUS Refresher Biomarker Study (n = 863; 2012 – 2016) (Weinstein et al., 2019).”
MethodSocioeconomic status, race, and bone turnover in the Midlife in the US Study
Crandall, C. J., Miller‐Martinez, D., Greendale, G. A., Binkley, N., Seeman, T. E., & Karlamangla, A. S. (2011) · Osteoporosis International · doi:10.1007/s00198-011-1736-5 · Cited by 23
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Self-citationHigh-quality relationships strengthen the benefits of a younger subjective age across adulthood.
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Perceived Unfairness at Work, Social and Personal Resources, and Resting Blood Pressure
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Social anxiety symptoms moderate the link between obesity and metabolic function
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Depressive symptoms, childhood maltreatment, and allostatic load: The importance of sex differences
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“, subjective health status, chronic health conditions, exercise, alcohol use) were similar to those of the MIDUS II participants as a whole [19].”
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Serum sphingolipid profiling as a novel biomarker for metabolic syndrome characterization
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“All biochemical measures were assessed from a fasting blood sample as described elsewhere (21, 22).”
MethodSelf-citationHisler, G. C., & Brenner, R. E. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.12.002 · Cited by 24
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“Procedure Participants provided informed consent and underwent procedures described elsewhere (20).”
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Multidimensional Sleep Health and Physical Functioning in Older Adults
Tighe, C. A., Brindle, R. C., Stahl, S. T., Wallace, M. L., Bramoweth, A. D., Forman, D. E., & Buysse, D. J. (2021) · Gerontology and Geriatric Medicine · doi:10.1177/23337214211016222 · Cited by 21
“The sampling procedures, protocol, and measures for MIDUS Biomarker projects are described in detail elsewhere (Dienberg Love et al., 2010).”
MethodDiscrimination and anxiety: Using multiple polygenic scores to control for genetic liability
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Educational Status, Anger, and Inflammation in the MIDUS National Sample: Does Race Matter?
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“MIDUS procedures and protocol have been described in detail elsewhere.(23,24) Briefly, MIDUS is a national longitudinal study of community-dwelling adults aged 25-75 at the first wave of data collection (1995-1996), with follow-up data collection in 2004-2006 (MIDUS 2) and 2013 (MIDUS 3).”
BackgroundMethodInflammation and emotion regulation: Findings from the MIDUS II study
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“MIDUS I enrolled 7108 individuals, including sibling and twins ages 25–74 years between January 1995 and September 1996 from a national sample of non-institutionalized adults living in 48 states, through random digit dialing (Love et al., 2010).”
BackgroundOng, A. D., Gardner, S. T., Urgancı, B., Günaydın, G., & Selçuk, E. (2019) · Journal of Family Psychology · doi:10.1037/fam0000591 · Cited by 18
IL-6 and IL-8 are likely associated with psychological status in treatment naïve general population
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“Informed consent was provided by each participant, and each MIDUS center obtained institutional review board approval [46].”
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The longitudinal connection between depressive symptoms and inflammation: Mediation by sleep quality
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Trait anxiety and glucose metabolism in people without diabetes: vulnerabilities among black women
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“Details on MIDUS participants and the biological subsample are available elsewhere [13, 14].”
Self-citationHigh Anger Expression Exacerbates the Relationship Between Age and Metabolic Syndrome
Boylan, J. M., & Ryff, C. D. (2013) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbt092 · Cited by 17
“…2010). the biological subsample was comparable with the full MIDUS II sample on most demographic and health characteristics, though was better educated and less likely to smoke than nonparticipants (Love et al., 2010 ), and high fasting plasma glucose (≥100 mg/dL or type II diabetes diagnosis).”
Self-citationParker, E. O., Maier, C. A., & Wojciak, A. S. (2016) · Journal of Family Therapy · doi:10.1111/1467-6427.12114 · Cited by 17
“When compared to the original sample from the MIDUS I study, those from MIDUS II Project 4 were more likely to have completed college, and less likely to smoke or have completed only high school or some college (Love et al., 2010 Childhood abuse.”
Creaven, A., Higgins, N. M., Ginty, A. T., & Gallagher, S. M. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107921 · Cited by 16
“Biomarker Project participants were more likely to have a college degree, and less likely to smoke (Love et al., 2010).”
BackgroundMethodSubjective social status and inflammation: The role of culture and anger control.
Yong, J. C., Hartanto, A., & Tan, J. J. X. (2020) · Health Psychology · doi:10.1037/hea0001029 · Cited by 16
“…in terms of demographics (e.g., age, sex, race, marital status, economic status) and health characteristics (e.g., number of chronic diseases, number of physician visits in the prior year), except that Biomarker Project participants were more educated and less likely to smoke (Love et al., 2010).”
Health Outcomes Following Childhood Maltreatment: An Examination of the Biopsychosocial Model
Watters, E. R., & Martin, G. C. (2021) · Journal of Aging and Health · doi:10.1177/08982643211003783 · Cited by 16
“The Biomarker Project included participants who completed the bioindicators and health protocol, with the broad aim of examining the biopsychosocial pathways that contribute to health outcomes (Love et al., 2010).”
BackgroundYang, Y., Cuffee, Y., Aumiller, B. B., Schmitz, K. H., Almeida, D. M., & Chinchilli, V. M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.822564 · Cited by 17
Nevels, T. L., Wirth, M. D., Ginsberg, J. P., McLain, A. C., & Burch, J. B. (2023) · SLEEP · doi:10.1093/sleep/zsad013 · Cited by 19
“Following an overnight stay at one of the CRCs, a breakfast meal that included abstinence from caffeine consumption was provided, and a standardized clinical assessment that included HRV electrophysiology was implemented using a previously described protocol [51, 55].”
BackgroundMethodInfluentialLachman, M. E., & Schiloski, K. A. (2024) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2024.111957 · Cited by 16
“For additional details about the Biomarker study and comparisons with the main MIDUS survey sample see Love et al., 2010 [32].”
A multifaceted analysis of social stressors and chronic inflammation
Gough, M., & Godde, K. (2018) · SSM - Population Health · doi:10.1016/j.ssmph.2018.09.005 · Cited by 17
Flaherty, S., Wood, E. K., Ryff, C. D., Love, G. D., Kelesidis, T., Berkowitz, L., Echeverría, G., Rivera, K., Rigotti, A., & Coe, C. L. (2022) · Lipids in Health and Disease · doi:10.1186/s12944-021-01608-4 · Cited by 16
“However, participants in the biomarker project tended to be more educated than those participating only in the larger survey (25% attained a high school education, and 50% had completed some college) [17].”
BackgroundSelf-citationHousework, health, and well-being in older adults: The role of socioeconomic status.
Rodriguez-Stanley, J., Alonso-Ferres, M., Zilioli, S., & Slatcher, R. B. (2020) · Journal of Family Psychology · doi:10.1037/fam0000630 · Cited by 15
Multisystem Dysregulation and Bone Strength: Findings From the Study of Midlife in the United States
Mori, T., Karlamangla, A. S., Merkin, S. S., Crandall, C. J., Binkley, N., Greendale, G. A., & Seeman, T. E. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-3908 · Cited by 15
“Data came from the Midlife in the United States (MIDUS) National Study of Health and Well-Being (21, 22).”
BackgroundMethodResultInfluentialSelf-citationTsenkova, V. K., Lee, C., & Boylan, J. M. (2017) · Journal of Physical Activity and Health · doi:10.1123/jpah.2016-0438 · Cited by 14
Ransome, Y., Slopen, N. B., Karlsson, O., & Williams, D. R. (2017) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9905-4 · Cited by 15
“MIDUS I (n = 7108) recruited individuals ages 25–74 years between the years of January 1995 and September 1996 from a national random-digit-dial sample of non-institutionalized adults living in the 48 contiguous states (Love et al., 2010).”
Betz, L. T., Rosen, M., Salokangas, R. K. R., & Kambeitz, J. P. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.07.042 · Cited by 17
Bennett, M. M., Tomas, C. W., & Fitzgerald, J. M. (2023) · Stress and Health · doi:10.1002/smi.3327 · Cited by 13
“A final sample was collected after a 30 min rest period, and therefore approximately 54 min after the onset of the first stress task (Love et al., 2010).”
BackgroundCombined diabetes and arthritis are associated with declined gait speed
Alenazi, A. M., Alshehri, M. M., Alqahtani, B. A., Alanazi, A., & Bindawas, S. M. (2020) · Clinical Rheumatology · doi:10.1007/s10067-020-05370-3 · Cited by 14
“The MIDUS 2 biomarker project included 1255 individuals aged between 34 and 84 years from two subsamples: the longitudinal survey sample (n = 1054) and theMilwaukee sample (n = 201) [18].”
MethodPerceived control and reactivity to acute stressors: Variations by age, race and facets of control
Wen, J., & Sin, N. L. (2021) · Stress and Health · doi:10.1002/smi.3103 · Cited by 15
Is relationship quality linked to diabetes risk and management?: It depends on what you look at.
Roberson, P. N. E., & Fincham, F. D. (2018) · Families Systems & Health · doi:10.1037/fsh0000336 · Cited by 14
Alqahtani, B. A. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1148671 · Cited by 13
Berkowitz, L., Razquín, C., Salazar, C., Biancardi, F., Estruch, R., Ros, E., Fitó, M., Corella, D., Coe, C. L., Ryff, C. D., et al. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02505-7 · Cited by 13
“All biochemical measurements were derived from a fasting blood sample, as described elsewhere [22].”
Self-citationHealth Insurance Coverage Better Protects Blacks than Whites against Incident Chronic Disease
Assari, S., Helmi, H., & Bazargan, M. (2019) · Healthcare · doi:10.3390/healthcare7010040 · Cited by 13
O’Shields, J., Patel, D., & Mowbray, O. P. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.05.077 · Cited by 15
“All six biomarkers were obtained via fasting blood draw before breakfast on the second day of their visit (Love et al., 2010).”
Socioeconomic Status and Biological Markers of Health
Cornman, J. C., Glei, D. A., Goldman, N., Ryff, C. D., & Weinstein, M. (2014) · Journal of Aging and Health · doi:10.1177/0898264314538661 · Cited by 13
“…in terms of age, sex, race, marital status, self-assessed health, or income, but they were more likely to have a college degree and less likely to have only a high school education or some college (Love et al., 2010), potentially leading to an underestimation of differences in risk by education.”
BackgroundMethodInfluentialSelf-citationWolfe, M. T., & Patel, P. C. (2017) · Journal of Business Venturing Insights · doi:10.1016/j.jbvi.2017.07.002 · Cited by 13
Karlamangla, A. S., Almeida, D. M., Lachman, M. E., Merkin, S. S., Thomas, D., & Seeman, T. E. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105804 · Cited by 13
Self-citationDykema, J., DiLoreto, K., Croes, K. D., Garbarski, D., & Beach, J. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw045 · Cited by 12
Anger, adiposity, and glucose control in nondiabetic adults: findings from MIDUS II
Tsenkova, V. K., Carr, D., Coe, C. L., & Ryff, C. D. (2012) · Journal of Behavioral Medicine · doi:10.1007/s10865-012-9460-y · Cited by 12
“This subsample was not significantly different from the main MIDUS sample on age, sex, race, marital status, or income variables, although participants were significantly more likely to have a college degree and significantly less likely to have completed only high school or some college compared with the main sample…”
BackgroundSelf-citationOpenness to experience and aesthetic chills: Links to heart rate sympathetic activity
Čukić, I., & Bates, T. C. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.02.012 · Cited by 12
“Both are standard stressors in heart rate research, and full details about the presentation and a full list of measures obtained during the protocol are provided elsewhere (Love et al., 2010).”
BackgroundSchwartz, J. A., Rowland, M. W., & Beaver, K. M. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.04.015 · Cited by 14
“Additional information regarding the collection and processing of tissues used in the Biomarker Project has been provided elsewhere (Love et al., 2010).”
BackgroundMethodInfluential
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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