HRS Bibliography

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Ryan LH, Smith J, Antonucci TC, Jackson JS. Cohort differences in the availability of informal caregivers: are the Boomers at risk?. Gerontologist. 2012;52(2):177-88. doi:10.1093/geront/gnr142.
http://www.ncbi.nlm.nih.gov/pubmed/22298747?dopt=Abstract
Newton NJ, Ryan LH, King RT, Smith J. Cohort differences in the marriage-health relationship for midlife women. Soc Sci Med. 2014;116:64-72. doi:10.1016/j.socscimed.2014.06.040.
http://www.ncbi.nlm.nih.gov/pubmed/24983699?dopt=Abstract
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Sonnega A, Faul J, Ofstedal MBeth, Langa KM, Phillips JWR, Weir DR. Cohort Profile: the Health and Retirement Study (HRS). Int J Epidemiol. 2014;43(2):576-85. doi:10.1093/ije/dyu067.
http://www.ncbi.nlm.nih.gov/pubmed/24671021?dopt=Abstract
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Sheehan CM, Domingue BW, Crimmins EM. Cohort Trends in the Gender Distribution of Household Tasks in the United States and the Implications for Understanding Disability. Journal of Aging and Health. 2019. doi:10.1177/0898264318793469.
Koroukian SM, Schiltz NK, Warner DF, et al. Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes. J Gen Intern Med. 2016;31(6):630-7. doi:10.1007/s11606-016-3590-9.
http://www.ncbi.nlm.nih.gov/pubmed/26902246?dopt=Abstract
Koroukian SM, Schiltz NK, Warner DF, et al. Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes. J Gen Intern Med. 2016;31(6):630-7. doi:10.1007/s11606-016-3590-9.
http://www.ncbi.nlm.nih.gov/pubmed/26902246?dopt=Abstract
Koroukian SM, Schiltz NK, Warner DF, et al. Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes. J Gen Intern Med. 2016;31(6):630-7. doi:10.1007/s11606-016-3590-9.
http://www.ncbi.nlm.nih.gov/pubmed/26902246?dopt=Abstract
Koroukian SM, Schiltz NK, Warner DF, et al. Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes. J Gen Intern Med. 2016;31(6):630-7. doi:10.1007/s11606-016-3590-9.
http://www.ncbi.nlm.nih.gov/pubmed/26902246?dopt=Abstract
Wang H, Nandakumar P, Tekola-Ayele F, et al. Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31. European Journal of Human Genetics. 2019;27(2):269-277. doi:10.1038/s41431-018-0277-1.
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Stenholm S, Westerlund H, Head J, et al. Comorbidity and functional trajectories from midlife to old age: the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2015;70(3):332-8. doi:10.1093/gerona/glu113.
http://www.ncbi.nlm.nih.gov/pubmed/25060316?dopt=Abstract
Pearson BM, Korankye T, Salehi H. Comparative Advantage in the Household: Should One Person Specialize in a Household’s Financial Matters?. Journal of Family and Economic Issues. Forthcoming. doi:https://doi.org/10.1007/s10834-021-09807-y.
Jain U, Sheehan CM. Comparative Analysis of Gender and Age Patterns in Informal Care Received among Disabled Older Adults: A Cross-National Study across the United States, Mexico, China, and Indonesia. journal of Cross Cultural Gerontology. Forthcoming. doi:10.1007/s10823-023-09488-0.
Ware EB, Mukherjee B, Sun YV, Diez-Roux AV, Kardia SLR. Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis. BMC Genet. 2015;16:118. doi:10.1186/s12863-015-0274-0.
http://www.ncbi.nlm.nih.gov/pubmed/26459564?dopt=Abstract
Saldana SLee, Guarnaccia CA. Comparing cognitive function in white Mexican & non-Hispanic white Americans with/without diabetes. Journal of Diabetes & Metabolic Disorders. 2022;21(1):599-605. doi:10.1007/s40200-022-01022-2.
Lohman MC, Sonnega A, Nicklett EJ, Estenson L, Leggett AN. Comparing Estimates of Fall-Related Mortality Incidence Among Older Adults in the United States. The Journals of Gerontology: Series A. 2019. doi:10.1093/gerona/gly250.
Liao J, Scholes S, Mawditt C, Mejía ST, Lu W. Comparing relationships between health-related behaviour clustering and episodic memory trajectories in the United States of America and England: a longitudinal study. BMC Public Health. 2022;22(1):1367. doi:10.1186/s12889-022-13785-7.
Côté-Sergent A, Fonseca R, Strumpf E. Comparing the education gradient in health deterioration among the elderly in six OECD countries. Health Policy. 2020;124:326 - 335. doi:https://doi.org/10.1016/j.healthpol.2019.12.015.
Selzam S, Ritchie SJ, Pingault J-B, Reynolds CA, O'Reilly PF, Plomin R. Comparing Within- and Between-Family Polygenic Score Prediction. Am J Hum Genet. 2019;105(2):351-363. doi:10.1016/j.ajhg.2019.06.006.
Clark DO, Stump TE, Tu W, Miller DK. A comparison and cross-validation of models to predict basic activity of daily living dependency in older adults. Medical Care. 2012;50(6):534-9. doi:10.1097/MLR.0b013e318245a50c.
http://www.ncbi.nlm.nih.gov/pubmed/22581013?dopt=Abstract