HRS Bibliography

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Pare G, Mao S, Deng WQ. A machine-learning heuristic to improve gene score prediction of polygenic traits. Scientific Reports. 2017;7(1):12665. doi:10.1038/s41598-017-13056-1.
http://www.ncbi.nlm.nih.gov/pubmed/28979001?dopt=Abstract
Melville JL, Fan M-Y, Rau H, Nygaard IE, Katon WJ. Major depression and urinary incontinence in women: temporal associations in an epidemiologic sample. Am J Obstet Gynecol. 2009;201(5):490.e1-7. doi:10.1016/j.ajog.2009.05.047.
http://www.ncbi.nlm.nih.gov/pubmed/19716547?dopt=Abstract
Mojtabai R, Olfson M. Major depression in community-dwelling middle-aged and older adults: prevalence and 2- and 4-year follow-up symptoms. Psychol Med. 2004;34(4):623-34. doi:10.1017/S0033291703001764.
http://www.ncbi.nlm.nih.gov/pubmed/15099417?dopt=Abstract
Miller TR. Mammography Use among Older Women in the Asset and Health Dynamics Among the Oldest Old (AHEAD) Study. 2007.
Moulton S, Rhodes A, Haurin D, Loibl C. Managing the onset of a new disease in older age: Housing wealth, mortgage borrowing, and medication adherence. Social Science & Medicine. 2022;314:115437. doi:10.1016/j.socscimed.2022.115437.
Yu RP, Ellison NB, McCammon RJ, Langa KM. Mapping the Two Levels of Digital Divide: Internet Access and Social Network Site Adoption among Older Adults in the USA. Information, Communication and Society. 2016;19(10):1445-1464. doi:10.1080/1369118X.2015.1109695.
Marini CM, Ermer AE, Fiori KL, Rauer A, Proulx CM. MARITAL QUALITY, LONELINESS, AND DEPRESSIVE SYMPTOMS LATER IN LIFE: THE MODERATING ROLE OF OWN AND SPOUSAL FUNCTIONAL LIMITATIONS. Research in Human Development. 2020. doi:https://doi.org/10.1080/15427609.2020.1837598.
Dupre ME, Beck AN, Meadows SO. Marital trajectories and mortality among US adults. Am J Epidemiol. 2009;170(5):546-55. doi:10.1093/aje/kwp194.
http://www.ncbi.nlm.nih.gov/pubmed/19584130?dopt=Abstract
Mitchell OS, Smetters K. The Market for Financial Advice. Oxford, UK: Oxford University Press; 2013:368.
Wood N, McMunn A, Webb E, Stafford M. Marriage and physical capability at mid to later life in England and the USA. PLoS One. 2019;14(1):e0209388. doi:10.1371/journal.pone.0209388.
http://www.ncbi.nlm.nih.gov/pubmed/30673714?dopt=Abstract
McGrath BM, Johnson PJo, McGrath R, Cawthon PM, Klawitter L, Choi B-J. A Matched Cohort Analysis for Examining the Association Between Slow Gait Speed and Shortened Longevity in Older Americans. Journal of Applied Gerontology. 2022;41(8):1905-1913. doi:10.1177/07334648221092399.
McGrath BM, Johnson PJo, McGrath R, Cawthon PM, Klawitter L, Choi B-J. A Matched Cohort Analysis for Examining the Association Between Slow Gait Speed and Shortened Longevity in Older Americans. Journal of Applied Gerontology. 2022;41(8):1905-1913. doi:10.1177/07334648221092399.
Alley DE, Soldo BJ, Pagán JA, et al. Material resources and population health: disadvantages in health care, housing, and food among adults over 50 years of age. Am J Public Health. 2009;99 Suppl 3(Suppl 3):S693-701. doi:10.2105/AJPH.2009.161877.
http://www.ncbi.nlm.nih.gov/pubmed/19890175?dopt=Abstract
Myrskylä M, Fenelon A. Maternal age and offspring adult health: evidence from the health and retirement study. Demography. 2012;49(4):1231-57. doi:10.1007/s13524-012-0132-x.
http://www.ncbi.nlm.nih.gov/pubmed/22926440?dopt=Abstract
McGarry K, Schoeni RF. Measurement and the Redistribution of Resources Within the Family. RAND, Reprint Series 96-11; 1996.
A Blankson N, McArdle JJ. Measurement Invariance of Cognitive Abilities Across Ethnicity, Gender, and Time Among Older Americans. J Gerontol B Psychol Sci Soc Sci. 2015;70(3):386-97. doi:10.1093/geronb/gbt106.
http://www.ncbi.nlm.nih.gov/pubmed/24170715?dopt=Abstract
Min LC, Tinetti M, Langa KM, Ha J, Alexander NB, Hoffman GJ. Measurement of Fall Injury With Health Care System Data and Assessment of Inclusiveness and Validity of Measurement Models. JAMA Network Open. 2019;2(8):e199679-e199679. doi:10.1001/jamanetworkopen.2019.9679.
Putnam M, Molton IR, Truitt AR, Smith AE, Jensen MP. Measures of aging with disability in U.S. secondary data sets: Results of a scoping review. Disability and Health Journal. 2016;9(1):5-10. doi:10.1016/j.dhjo.2015.07.002.
McClain CA, Ofstedal MBeth, Couper MP. Measuring Cognition in a Multi-mode Context. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan; 2018:1-48.PDF icon Download PDF (411.01 KB)
Ofstedal MBeth, McClain CA, Couper MP, Lynn P. Measuring Cognition in a Multi-Mode Context. In: Advances in Longitudinal Survey Methodology. Advances in Longitudinal Survey Methodology. John Wiley & Sons, Ltd; 2021:250-271. doi:https://doi.org/10.1002/9781119376965.ch11.
Verbrugge LM, Merrill SS, Li X. Measuring disability with parsimony. Disabil Rehabil. 1999;21(5-6):295-306. doi:10.1080/096382899297729.
http://www.ncbi.nlm.nih.gov/pubmed/10381242?dopt=Abstract
Brown LL, Abrams LR, Mitchell UA, Ailshire JA. Measuring More Than Exposure: Does Stress Appraisal Matter for Black-White Differences in Anxiety and Depressive Symptoms among Older Adults?. Innovation in Aging. 2020;4(5):igaa040. doi:https://doi.org/10.1093/geroni/igaa040.
MacEwan JP, Gill TM, Johnson K, et al. Measuring Sarcopenia Severity in Older Adults and the Value of Effective Interventions. The journal of nutrition, health & aging. 2018. doi:10.1007/s12603-018-1104-7.
Allin S, Masseria C, Mossialos E. Measuring socioeconomic differences in use of health care services by wealth versus by income. Am J Public Health. 2009;99(10):1849-55. doi:10.2105/AJPH.2008.141499.
http://www.ncbi.nlm.nih.gov/pubmed/19150899?dopt=Abstract
Allin S, Masseria C, Mossialos E. Measuring socioeconomic differences in use of health care services by wealth versus by income. Am J Public Health. 2009;99(10):1849-55. doi:10.2105/AJPH.2008.141499.
http://www.ncbi.nlm.nih.gov/pubmed/19150899?dopt=Abstract