HRS Bibliography

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Choosing the Nation's Fiscal Future. Washington, DC: The National Academies Press; 2010:1-360.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097.
Newton NJ, Ryan LH, King RT, Smith J. Cohort differences in the marriage-health relationship for midlife women. Social Science and Medicine. 2014;116:64-72. doi:10.1016/j.socscimed.2014.06.040.
Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, Glymour MM. Comparing alternative effect decomposition methods: the role of literacy in mediating educational effects on mortality. Epidemiology. 2016;27(5):670-676. doi:10.1097/EDE.0000000000000517.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. Journal of Alzheimer's Disease. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
Nicholas LHersch. Can Food Stamps help to reduce Medicare spending on diabetes?. Econ Hum Biol. 2011;9(1):1-13. doi:10.1016/j.ehb.2010.10.003.
Niles AN, O'Donovan A. Comparing anxiety and depression to obesity and smoking as predictors of major medical illnesses and somatic symptoms. Health Psychology. 2019;38(2):172-181. doi:10.1037/hea0000707.
Nova A. Channel anxiety to avoid bad investment decisions. CNBC.


Palgi Y, Ayalon L, Avidor S, Bodner E. Changes in positive and negative affect as predictors of change in felt age: Results from the Health and Retirement Study. The Journal of Positive Psychology. 2017;12(6):605-612. doi:10.1080/17439760.2016.1221121.
Papke LE. Choice and Other Determinants of Employee Contributions to Defined Contribution Plans. Center for Retirement Research at Boston College; 2002.
Parajuli J, Berish D, Jao Y-L. Chronic conditions and depressive symptoms in older adults: the mediating role of functional limitations. Aging and Mental Health. 2019. doi:10.1080/13607863.2019.1693971.
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS genetics. 2015;11(4):e1005103-e1005103. doi:10.1371/journal.pgen.1005103.
Pavela G, Latham K. Childhood Conditions and Multimorbidity Among Older Adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2015. doi:10.1093/geronb/gbv028.
Pavela G. Is childhood socioeconomic status independently associated with adult BMI after accounting for adult and neighborhood socioeconomic status?. PLoS One. 2017;12(1):e0168481. doi:10.1371/journal.pone.0168481.
Perazzi JRamoni. The Compensating Differential Principle in the Public and Private Sector: A multivariate statistical analysis approach. Economia. 2007;32(24):95-112.
Perry MM. On the Covariance Structure of Changes in Consumption in the Health and Retirement Study. The University of Michigan, Michigan Retirement Research Center; 2006.
Petersen JS, Zwerling C. Comparison of Health Outcomes Among Older Construction and Blue-Collar Employees in the United States. American Journal of Industrial Medicine. 1998;Vol. 34(3):280-287.
Pezzin LE, Pollak RA, Schone BSteinberg. Complex Families and Late-Life Outcomes Among Elderly Persons: Disability, Institutionalization, and Longevity. Journal of Marriage and Family. 2013;75(5):1084-1097.
Piette JD, Rosland AMarie, Silveira MJ, Kabeto MU, Langa K. The case for involving adult children outside of the household in the self-management support of older adults with chronic illnesses. Chronic Illn. 2010;6(1):34-45. doi:10.1177/1742395309347804.