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MIDUS Publications Database Search

This search provides access to bibliographies of publications that use MIDUS data.

1. Search by Topic:

Affect/Emotion Non-Normative Parenting
Aging Obesity/Weight
Allostatic Load Occupation & Employment
Altruism Perceived Discrimination
Biomarkers Personality
Cancer Physical Health
Childhood/Early Life Psychological Well-being
Chronic & Acute Challenges Purpose in Life
Cognitive Function Race & Ethnicity
Culture/Country Religion & Spirituality
Daily Experiences Resilience
Gender Sense of Control
Genetics & Twins Sexuality
Health Behaviors Sleep
Historical Context/Recession Social Inequalities/SES
Mental Illness Social Relationships/Support
Mortality Social Responsibility
Neighborhood Volunteering
Neuroscience Work & Family


2. List all findings in our MIDUS database

3. Search by Field (click for instructions):

Search Text:
Search Field: Date Range: From to * Please enter 4-digit year, e.g. 2019
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Number of hits: 2041

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Hoy, N., Lynch, S. J., Waszczuk, M. A., Reppermund, S., & Mewton, L. (2023). Transdiagnostic biomarkers of mental illness across the lifespan: A systematic review examining the genetic and neural correlates of latent transdiagnostic dimensions of psychopathology in the general population. Neuroscience and Biobehavioral Reviews, 155, Article 105431.
View publication via DOI: DOI:10.1016/j.neubiorev.2023.105431
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Hsu, H.-Y., Hsu, T.-L., Lee, K., & Wolff, L. (2017). Evaluating the construct validity of Ryff's Scales of Psychological Well-Being using exploratory structural equation modeling. Journal of Psychoeducational Assessment, 35(6), 633-638.
View publication via DOI: DOI:10.1177/0734282916652756
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Hsu, T.-L., & Barrett, A. E. (2020). The association between marital status and psychological well-being: Variation across negative and positive dimensions. Journal of Family Issues, Advance online publication.
View publication via DOI: DOI:10.1177/0192513X20910184
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Hu, Y., Stephenson, K., & Klare, D. (2020). The dynamic relationship between daily caffeine intake and sleep duration in middle-aged and older adults. Journal of Sleep Research, 29(6), Article e12996.
View publication via DOI: DOI:10.1111/jsr.12996
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Huang, J. L., Shaffer, J. A., Li, A., & King, R. A. (2019). General mental ability, conscientiousness, and the work-family interface: A test of mediating pathways. Personnel Psychology, 72(2), 291-321.
View publication via DOI: DOI:10.1111/peps.12307
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Huang, Y., & Zhu, M. (2020). Increased global PSQI score is associated with depressive symptoms in an adult population from the United States. Nature and Science of Sleep, 12, 487-495.
View publication via DOI: DOI:10.2147/NSS.S256625
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Huang, Y., Chen, H., Hu, D., & Wan, R. (2022). Blood hemoglobin A1c might predict adverse differences in heart rate variability in a diabetic population: Evidence from the Midlife in the United States (MIDUS) study. Frontiers in Endocrinology, 13, Article 921287.
View publication via DOI: DOI:10.3389/fendo.2022.921287
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Huang, Y., Chen, H., Su, Y., Liu, H., Hu, J., & Hong, K. (2021). Increased blood alpha-carotene, all-trans-Beta-carotene and lycopene levels are associated with beneficial changes in heart rate variability: A CVD-stratified analysis in an adult population-based study. Nutrition Journal, 20(1), 1-10.
View publication via DOI: DOI:10.1186/s12937-021-00700-w
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Huang, Y., Jiang, Y., & Zhu, M. (2019). The relationship between global sleep score and inflammatory markers in obese adults from the United States. Nature and science of sleep, 11, 317-324.
View publication via DOI: DOI:10.2147/nss.s220436
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Huang, Y.-C., Cho, E., Kuo, H.-J., & Garcia, A. A. (2023). The influences of depression and loneliness on A1C among middle-aged and older adults with diabetes. Psychology, Health and Medicine, 28(6), 1540-1548.
View publication via DOI: DOI:10.1080/13548506.2022.2124287
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Huang, Z., Xu, Z., Wan, R., Hu, D., & Huang, Y. (2023). Associations between blood inflammatory markers and bone mineral density and strength in the femoral neck: Findings from the MIDUS II study. Scientific Reports, 13(1), Article 10662.
View publication via DOI: DOI:10.1038/s41598-023-37377-6
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Hughes, D. L. (2001). Cultural and contextual correlates of obligation to family and community among urban black and latino adults. In A. S. Rossi (Ed.), Caring and doing for others: Social responsibility in the domains of family, work, and community (pp. 179-224). Chicago, IL: University of Chicago Press.
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Hughes, M. L., & Lachman, M. E. (2018). Social comparisons of health and cognitive functioning contribute to changes in subjective age. The Journals of Gerontology. Series B, Psychological Sciences And Social Sciences, 73(5), 816-824.
View publication via DOI: DOI:10.1093/geronb/gbw044
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Hughes, M. L., Agrigoroaei, S., Jeon, M., Bruzzese, M., & Lachman, M. E. (2018). Change in cognitive performance from midlife into old age: Findings from the Midlife in the United States (MIDUS) study. Journal of the International Neuropsychological Society, 24(8), 805-820.
View publication via DOI: DOI:10.1017/S1355617718000425
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Human, L. J., Biesanz, J. C., Miller, G. E., Chen, E., Lachman, M. E., & Seeman, T. E. (2013). Is change bad? Personality change is associated with poorer psychological health and greater metabolic syndrome in midlife. Journal of Personality, 81(3), 249-260.
View publication via DOI: DOI:10.1111/jopy.12002
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Hung, M., Voss, M. W., Bounsanga, J., Graff, T., & Birmingham, W. C. (2019). Assessing spousal support and health in an aging population: Support and strain amidst changing social dynamics. Social Work in Health Care, 58(4), 345-367.
View publication via DOI: DOI:10.1080/00981389.2019.1569577
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Hunte, H. E. (2011). Association between perceived interpersonal everyday discrimination and waist circumference over a 9-year period in the midlife development in the United States cohort study. American Journal of Epidemiology, 173(11), 1232-1239.
View publication via DOI: DOI:10.1093/aje/kwq463
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Huo, M., Han, S. H., Kim, K., & Choi, J. (2021). Functional limitations, volunteering, and diurnal cortisol patterns in older adults. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 76(9), 1893-1903.
View publication via DOI: DOI:10.1093/geronb/gbaa104
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Iasiello, M., van Agteren, J., Keyes, C. L. M., & Cochrane, E. M. (2019). Positive mental health as a predictor of recovery from mental illness. Journal of Affective Disorders, 251, 227-230.
View publication via DOI: DOI:10.1016/j.jad.2019.03.065
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Imami, L., Jiang, Y., Murdock, K. W., & Zilioli, S. (2022). Links between socioeconomic status, daily depressive affect, diurnal cortisol patterns, and all-cause mortality. Psychosomatic Medicine, 84(1), 29-39.
View publication via DOI: DOI:10.1097/PSY.0000000000001004
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Imel, J. L., & Dautovich, N. D. (2018). The associations between dispositional mindfulness, sense of control, and affect in a national sample of adults. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 73(6), 996-1005.
View publication via DOI: DOI:10.1093/geronb/gbw092
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Inagaki, T. K., & Gianaros, P. J. (2022). Resting (tonic) blood pressure is associated with sensitivity to imagined and acute experiences of social pain: Evidence from three studies. Psychological Science, 33(6), 984-998.
View publication via DOI: DOI:10.1177/09567976211061107
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Infurna, F. J. (2021). Utilizing principles of life-span developmental psychology to study the complexities of resilience across the adult life span. The Gerontologist, 61(6), 807-818.
View publication via DOI: DOI:10.1093/geront/gnab086
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Infurna, F. J., Gerstorf, D., & Lachman, M. E. (2020). Midlife in the 2020s: Opportunities and challenges American Psychologist, 75(4), 470-485.
View publication via DOI: DOI:10.1037/amp0000591
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Irving, S. M., & Ferraro, K. F. (2006). Reports of abusive experiences during childhood and adult health ratings: Personal control as a pathway? Journal of Aging and Health, 19(3), 458-584.
View publication via DOI: DOI:10.1177/0898264305280994
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Ishii, K. (2019). Cultural influences in somatosensory amplification and their association with negative affective states. Asian Journal of Social Psychology, 22(1), 106-112.
View publication via DOI: DOI:10.1111/ajsp.12342
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Ismail, L., Materwala, H., & Al Kaabi, J. (2021). Association of risk factors with type 2 diabetes: A systematic review. Computational and Structural Biotechnology Journal, 19, 1759-1785.
View publication via DOI: DOI:10.1016/j.csbj.2021.03.003
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Iveniuk, J., Laumann, E. O., Waite, L. J., McClintock, M. K., & Tiedt, A. (2014). Personality measures in the National Social Life, Health, and Aging Project. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69(Suppl 2), S117-S124.
View publication via DOI: DOI:10.1093/geronb/gbu073
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Jacobson, N. C., Lekkas, D., Huang, R., & Thomas, N. (2021). Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years. Journal of Affective Disorders, 282, 104-111.
View publication via DOI: DOI:10.1016/j.jad.2020.12.086
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Jakubiak, B. K. (2022). Affectionate touch in satisfying and dissatisfying romantic relationships. Journal of Social & Personal Relationships, 39(8), 2287-2315.
View publication via DOI: DOI:10.1177/02654075221077280
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