Asset And Health Dynamics Among The Oldest Old Research Articles

Predictors of bone mineral density testing among older women on Medicare.

DXA is used to measure bone mineral density, screen for osteoporosis, and assess fracture risk. DXA is recommended for all women ≥65years old. Although Medicare covers DXA every 24months for women, about 40% report never having had a DXA test, and little is known from prospective cohort studies about which subgroups of women have low use rates and should be targeted for interventions. Our objective was to identify predictors of DXA use in a nationally representative cohort of women on Medicare. We used baseline and biennial follow-up survey data (1993-2012) for 3492 women ≥70years old from the nationally representative closed cohort known as the Survey on Assets and Health Dynamics among the Oldest Old (AHEAD). The survey data for these women were then linked to their Medicare claims (1991-2012), yielding 17,345 person years of observation. DXA tests were identified from the Medicare claims, and Cox proportional hazard regression models were used with both fixed and time-dependent predictors from the survey interviews including demographic characteristics, socioeconomic factors, health status, health habits, and the living environment. DXA use was positively associated with being Hispanic American, better cognition, higher income, having arthritis, using other preventative services, and living in Florida or other southern states. DXA use was negatively associated with age, being African-American, being overweight or obese, having mobility limitations, and smoking. Interventions to increase DXA use should target the characteristics that were observed here to be negatively associated with such screening.

Changes in Visual Function in the Elderly Population in the United States: 1995–2010

ABSTRACTPurpose: To document recent trends in visual function among the United States population aged 70+ years and investigate how the trends can be explained by inter-temporal changes in: (1) population sociodemographic characteristics, and chronic disease prevalence, including eye diseases (compositional changes); and (2) effects of the above factors on visual function (structural changes).Methods: Data from the 1995 Asset and Health Dynamics among the Oldest Old (AHEAD) and the 2010 Health and Retirement Study (HRS) were merged with Medicare Part B claims in the interview years and the 2 previous years. Decomposition analysis was performed. Respondents from both studies were aged 70+ years. The outcome measure was respondent self-reported visual function on a 6-point scale (from 6 = blind to 1 = excellent).Results: Overall, visual function improved from slightly worse than good (3.14) in 1995 to slightly better than good (2.98) in 2010. A decline in adverse effects of aging on vision was found. Among the compositional changes were higher educational attainment leading to improved vision, and higher prevalence of such diseases as diabetes mellitus, which tended to lower visual function. However, compared to compositional changes, structural changes were far more important, including decreased adverse effects of aging, diabetes mellitus (when not controlling for eye diseases), and diagnosed glaucoma.Conclusion: Although the US population has aged and is expected to age further, visual function improved among elderly persons, especially among persons 80+ years, likely reflecting a favorable role of structural changes identified in this study in mitigating the adverse effect of ongoing aging on vision.

Disability Rises Gradually for a Cohort of Older Americans.

We study changes in average disability over nearly two decades for a large epidemiological cohort of older Americans. As some people exit by mortality, do average disability levels for the living cohort rise rapidly, rise gradually, stay steady, or decline? Data are from the Study of Asset and Health Dynamics Among the Oldest Old (AHEAD) cohort for 1993-2010. Cohort members are aged 70+ in 1993 (mean = 77.5 years), and the survivors are aged 87+ in 2010 (mean = 90.2 years). Personal care disability (activities of daily living), household management disability (instrumental activities of daily living), and physical limitations are studied. We study average disability for the living cohort over time and the disability histories for decedent and survivor groups. Average disability rises gradually over time for the living cohort. Earlier decedent groups have higher average disability than later ones. Near death, disability rises sharply for all decedent groups. Longer surviving groups have less average disability, and slower disability increases, than shorter surviving groups. All results are repeated for younger cohort members (baseline age = 70-79 years), older ones (baseline age = 80+ years), women, and men. As a cohort ages, average disability among living members increases gradually, signaling behavioral, psychological, and biological fitness in very old persons.

Cognitive function and the concordance between survey reports and Medicare claims in a nationally representative cohort of older adults.

While age-related cognitive decline may affect all stages in the response process--comprehension, retrieval, judgment, response selection, and response reporting--the associations between objective cognitive tests and the agreement between self-reports and Medicare claims has not been assessed. We evaluate those associations using the Survey on Assets and Health Dynamics among the Oldest Old (AHEAD). Eight waves of reinterviews (1995-2010) were linked to Medicare claims for 3661 self-respondents yielding 12,313 person-period observations. Cognitive function was measured by 2 episodic memory tests (immediate and delayed recall of 10 words) and 1 mental status test (backward counting, dates, and names). Survey reports on 12 diseases and 4 health services were mapped to Medicare claims to derive counts of concordant reports, underreports, and overreports, as were the numbers of hospital episodes and physician visits. GEE negative binomial and logistic regression models were used. Better mental status was associated with more concordant reporting and less underreporting on disease history and the number of hospital episodes. Better mental status and delayed word recall were associated with more concordant reporting and less underreporting on health services use. Better delayed recall was significantly associated with less underreporting on the number of physician visits. These associations were not appreciably altered by adjustment for demographic characteristics, socioeconomic status, self-rated health, or secular trends. We recommend that future surveys of older adults include an objective measure of mental status (rather than memory), especially when those survey reports cannot be verified by access to Medicare claims or chart review.

The Impact of Financial Advisors on the Subsequent Wealth of Older Adults

Despite the growing use of financial advisors, relatively little is known about the impact that financial advisors have on actual wealth outcomes among older adults. Using data from the Study of Assets and Health Dynamics Among the Oldest Old (AHEAD), we find that using a financial advisor is positively related to subsequent net worth, especially on net worth values more than a decade after initially reporting the use of professional financial advice. Having a financial advisor is also positively associated with current and subsequent investment returns, and a large factor impacting the difference in returns comes is due to differences in portfolio allocations. Specifically, we find evidence that the impact of a financial advisor on subsequent wealth is likely due to a greater allocation to equities.

Determinants of Seeking Financial Advice Among Older Adults

Using the Asset and Health Dynamics among the Oldest Old (AHEAD), this study presents the first longitudinal results analyzing factors among older adults associated with beginning and discontinuing the use of a financial advisor. Getting a financial advisor was positively associated with becoming a widow(er), asking family members for assistance with financial decisions, and initially seeing a doctor for help with emotional problems. Among single and widowed respondents, experiencing significant cognitive decline increases the likelihood of getting a financial advisor. Increases in income and net worth were also positively related getting a financial advisor. Dropping a financial advisor was negatively associated with becoming a new widow(er), getting married, and experiencing an increase in net worth. No longer involving family members in financial decisions was strongly related to dropping a financial advisor. Implications for practice are discussed.

A prospective cohort study of long-term cognitive changes in older Medicare beneficiaries

BackgroundPromoting cognitive health and preventing its decline are longstanding public health goals, but long-term changes in cognitive function are not well-documented. Therefore, we first examined long-term changes in cognitive function among older Medicare beneficiaries in the Survey on Assets and Health Dynamics among the Oldest Old (AHEAD), and then we identified the risk factors associated with those changes in cognitive function.MethodsWe conducted a secondary analysis of a prospective, population-based cohort using baseline (1993-1994) interview data linked to 1993-2007 Medicare claims to examine cognitive function at the final follow-up interview which occurred between 1995-1996 and 2006-2007. Besides traditional risk factors (i.e., aging, age, race, and education) and adjustment for baseline cognitive function, we considered the reason for censoring (entrance into managed care or death), and post-baseline continuity of care and major health shocks (hospital episodes). Residual change score multiple linear regression analysis was used to predict cognitive function at the final follow-up using data from telephone interviews among 3,021 to 4,251 (sample size varied by cognitive outcome) baseline community-dwelling self-respondents that were ≥ 70 years old, not in managed Medicare, and had at least one follow-up interview as self-respondents. Cognitive function was assessed using the 7-item Telephone Interview for Cognitive Status (TICS-7; general mental status), and the 10-item immediate and delayed (episodic memory) word recall tests.ResultsMean changes in the number of correct responses on the TICS-7, and 10-item immediate and delayed word recall tests were -0.33, -0.75, and -0.78, with 43.6%, 54.9%, and 52.3% declining and 25.4%, 20.8%, and 22.9% unchanged. The main and most consistent risks for declining cognitive function were the baseline values of cognitive function (reflecting substantial regression to the mean), aging (a strong linear pattern of increased decline associated with greater aging, but with diminishing marginal returns), older age at baseline, dying before the end of the study period, lower education, and minority status.ConclusionsIn addition to aging, age, minority status, and low education, substantial and differential risks for cognitive change were associated with sooner vs. later subsequent death that help to clarify the terminal drop hypothesis. No readily modifiable protective factors were identified.

Why Do Families Differ? Children's Care for an Unmarried Mother

An adult child's provision of care to an unmarried elderly mother varies both within and between families. Within-family differences address the variation in different children's behavior within in a family. Between-family differences refer to the propensities that members of a family-the children of one mother-share and that differentiate them from other families. Previous research suggests five hypotheses affecting either within-family or between-family differences. Data from multiple waves of the Asset and Health Dynamics Among the Oldest Old (AHEAD) cohort of the Health and Retirement Study (HRS; 16,719 observations on 5,607 mother-child dyads in 1,925 families) are used to estimate a multilevel model with a binary outcome. Results indicate substantial differences between families. Mother's characteristics, family composition, and family history account for about half the between-family differences.

Spousal associations between functional limitation and depressive symptom trajectories: Longitudinal findings from the Study of Asset and Health Dynamics Among the Oldest Old (AHEAD).

To examine spousal associations between functional limitation and depressive symptom trajectories in a national sample of older long-term married couples. We used 14.5-year longitudinal data on functional limitations and depressive symptoms from 1,704 couples participating in the Study of Asset and Health Dynamics Among the Oldest Old (AHEAD). Activities of daily living and a short version of the Center for Epidemiologic Studies Depression scale were used. Between-person difference findings corroborate previous research by showing that levels and changes in functional limitations and depressive symptoms are closely interrelated among wives and husbands. Our results further demonstrate sizable associations in levels and changes in functional limitations and depressive symptoms between spouses. For example, functional limitation levels in one spouse were associated with depressive symptom levels in the other spouse. Spousal associations remained after controlling for individual (age, education, cognition) and spousal covariates (marriage duration, number of children) and did not differ between women and men. Our findings highlight the important role of marital relationships in shaping health trajectories in old age because they show that some of the well-documented between-person differences in functional limitations and depressive symptoms are in fact related to spouses.

A longitudinal study of chiropractic use among older adults in the United States

BackgroundLongitudinal patterns of chiropractic use in the United States, particularly among Medicare beneficiaries, are not well documented. Using a nationally representative sample of older Medicare beneficiaries we describe the use of chiropractic over fifteen years, and classify chiropractic users by annual visit volume. We assess the characteristics that are associated with chiropractic use versus nonuse, as well as between different levels of use.MethodsWe analyzed data from two linked sources: the baseline (1993-1994) interview responses of 5,510 self-respondents in the Survey on Assets and Health Dynamics Among the Oldest Old (AHEAD), and their Medicare claims from 1993 to 2007. Binomial logistic regression was used to identify factors associated with chiropractic use versus nonuse, and conditional upon use, to identify factors associated with high volume relative to lower volume use.ResultsThere were 806 users of chiropractic in the AHEAD sample yielding a full period prevalence for 1993-2007 of 14.6%. Average annual prevalence between 1993 and 2007 was 4.8% with a range from 4.1% to 5.4%. Approximately 42% of the users consumed chiropractic services only in a single calendar year while 38% used chiropractic in three or more calendar years. Chiropractic users were more likely to be women, white, overweight, have pain, have multiple comorbid conditions, better self-rated health, access to transportation, higher physician utilization levels, live in the Midwest, and live in an area with fewer physicians per capita. Among chiropractic users, 16% had at least one year in which they exceeded Medicare's "soft cap" of 12 visits per calendar year. These over-the-cap users were more likely to have arthritis and mobility limitations, but were less likely to have a high school education. Additionally, these over-the-cap individuals accounted for 58% of total chiropractic claim volume. High volume users saw chiropractors the most among all types of providers, even more than family practice and internal medicine combined.ConclusionThere is substantial heterogeneity in the patterns of use of chiropractic services among older adults. In spite of the variability of use patterns, however, there are not many characteristics that distinguish high volume users from lower volume users. While high volume users accounted for a significant portion of claims, the enforcement of a hard cap on annual visits by Medicare would not significantly decrease overall claim volume. Further research to understand the factors causing high volume chiropractic utilization among older Americans is warranted to discern between patterns of "need" and patterns of "health maintenance".

Defining emergency department episodes by severity and intensity: A 15-year study of Medicare beneficiaries

BackgroundEpisodes of Emergency Department (ED) service use among older adults previously have not been constructed, or evaluated as multi-dimensional phenomena. In this study, we constructed episodes of ED service use among a cohort of older adults over a 15-year observation period, measured the episodes by severity and intensity, and compared these measures in predicting subsequent hospitalization.MethodsWe conducted a secondary analysis of the prospective cohort study entitled the Survey on Assets and Health Dynamics among the Oldest Old (AHEAD). Baseline (1993) data on 5,511 self-respondents ≥70 years old were linked to their Medicare claims for 1991-2005. Claims then were organized into episodes of ED care according to Medicare guidelines. The severity of ED episodes was measured with a modified-NYU algorithm using ICD9-CM diagnoses, and the intensity of the episodes was measured using CPT codes. Measures were evaluated against subsequent hospitalization to estimate comparative predictive validity.ResultsOver 15 years, three-fourths (4,171) of the 5,511 AHEAD participants had at least 1 ED episode, with a mean of 4.5 episodes. Cross-classification indicated the modified-NYU severity measure and the CPT-based intensity measure captured different aspects of ED episodes (kappa = 0.18). While both measures were significant independent predictors of hospital admission from ED episodes, the CPT measure had substantially higher predictive validity than the modified-NYU measure (AORs 5.70 vs. 3.31; p < .001).ConclusionsWe demonstrated an innovative approach for how claims data can be used to construct episodes of ED care among a sample of older adults. We also determined that the modified-NYU measure of severity and the CPT measure of intensity tap different aspects of ED episodes, and that both measures were predictive of subsequent hospitalization.

Urban Neighborhood Context and Mortality in Late Life

To examine the contextual effects of urban neighborhood characteristics on mortality among older adults. Data are from the Study of Assets and Health Dynamics Among the Oldest Old (AHEAD). Death is assessed between the baseline assessment (1993) and the first follow-up interview (1995). Neighborhood data are from the 1990 Census. The log odds of dying between the two time points are higher in high proportion Hispanic neighborhoods, net of individual-level sociodemographic variables, but this effect is partly mediated by individual-level health. The log odds of dying are significantly (p < .05) lower in affluent neighborhoods, controlling for all individual-level variables and neighborhood proportion Hispanic. There are survival-related benefits of living in an affluent urban neighborhood, which we posit may be manifested through the diffusion of innovations in health care and health-promotion activities.

Continuity of care with a primary care physician and mortality in older adults.

We examined whether older adults who had continuity of care with a primary care physician (PCP) had lower mortality. Secondary analyses were conducted using baseline interview data (1993-1994) from the nationally representative Survey on Assets and Health Dynamics among the Oldest Old (AHEAD). The analytic sample included 5,457 self-respondents 70 years old or more who were not enrolled in managed care plans. AHEAD data were linked to Medicare claims for 1991-2005, providing up to 12 years of follow-up. Two time-dependent measures of continuity addressed whether there was more than an 8-month interval between any two visits to the same PCP during the prior 2-year period. The "present exposure" measure calculated this criterion on a daily basis and could switch "on" or "off" daily, whereas the "cumulative exposure" measure reflected the percentage of follow-up days, also on a daily basis allowing it to switch on or off daily, for which the criterion was met. Two thousand nine hundred and fifty-four (54%) participants died during the follow-up period. Using the cumulative exposure measure, 27% never had continuity of care, whereas 31%, 20%, 14%, and 8%, respectively, had continuity for 1%-33%, 34%-67%, 68%-99%, and 100% of their follow-up days. Adjusted for demographics, socioeconomic status, social support, health lifestyle, and morbidity, both measures of continuity were associated (p < .001) with lower mortality (adjusted hazard ratios of 0.84 for the present exposure measure and 0.31, 0.39, 0.46, and 0.62, respectively, for the 1%-33%, 34%-67%, 68%-99%, and 100% categories of the cumulative exposure measure). Continuity of care with a PCP, as assessed by two distinct measures, was associated with substantial reductions in long-term mortality.

FORMAL HOME HEALTH CARE, INFORMAL CARE, AND FAMILY DECISION MAKING*

We use the 1993 wave of the Assets and Health Dynamics Among the Oldest Old (AHEAD) data set to estimate a game‐theoretic model of families' decisions concerning the provision of informal and formal care for elderly individuals. The outcome is the Nash equilibrium where each family member jointly determines her consumption, transfers for formal care, and allocation of time to informal care, market work, and leisure. We use the estimates to decompose the effects of adult children's opportunity costs, quality of care, and caregiving burden on their propensities to provide informal care. We also simulate the effects of a broad range of policies of current interest.

The aftermath of hip fracture: discharge placement, functional status change, and mortality.

The authors prospectively explored the consequences of hip fracture with regard to discharge placement, functional status, and mortality using the Survey on Assets and Health Dynamics Among the Oldest Old (AHEAD). Data from baseline (1993) AHEAD interviews and biennial follow-up interviews were linked to Medicare claims data from 1993-2005. There were 495 postbaseline hip fractures among 5,511 respondents aged >or=69 years. Mean age at hip fracture was 85 years; 73% of fracture patients were white women, 45% had pertrochanteric fractures, and 55% underwent surgical pinning. Most patients (58%) were discharged to a nursing facility, with 14% being discharged to their homes. In-hospital, 6-month, and 1-year mortality were 2.7%, 19%, and 26%, respectively. Declines in functional-status-scale scores ranged from 29% on the fine motor skills scale to 56% on the mobility index. Mean scale score declines were 1.9 for activities of daily living, 1.7 for instrumental activities of daily living, and 2.2 for depressive symptoms; scores on mobility, large muscle, gross motor, and cognitive status scales worsened by 2.3, 1.6, 2.2, and 2.5 points, respectively. Hip fracture characteristics, socioeconomic status, and year of fracture were significantly associated with discharge placement. Sex, age, dementia, and frailty were significantly associated with mortality. This is one of the few studies to prospectively capture these declines in functional status after hip fracture.

Factors Associated with Long-Stay Nursing Home Admissions Among the U.S. Elderly Population: Comparison of Logistic Regression and the Cox Proportional Hazards Model with Policy Implications for Social Work

Two statistical methods were compared to identify key factors associated with long-stay nursing home (LSNH) admission among the U.S. elderly population. Social Work's interest in services to the elderly makes this research critical to the profession. Effectively transitioning the “baby boomer” population into appropriate long-term care will be a great societal challenge. It remains a challenge paramount to the practice of social work. Secondary data analyses using four waves (1995, 1998, 2000, and 2002) of the Health Retirement Study (HRS) coupled with the Assets and Health Dynamics among the Oldest Old (AHEAD) surveys were conducted. Multivariable logistic regression and Cox proportional hazards model were performed and compared. Older age, lower self-perceived health, worse instrumental activities of daily living (IADL), psychiatric problems, and living alone were found significantly associated with increased risk of LSNH admission. In contrast, being female, African American, or Hispanic; owning a home; and having lower level of cognitive impairment reduced the admission risk. Home ownership showed a significant effect in logistic regression, but a marginal effect in the Cox model. The Cox model generally provided more precise parameter estimates than logistic regression. Logistic regression, used frequently in analyses, can provide a good approximation to the Cox model in identifying factors of LSNH admission. However, the Cox model gives more information on how soon the LSNH admission may happen. Our analyses, based on two models, dually identified the factors associated with LSNH admission; therefore, results discussed confidently provide implications for both public and private long-term care policies, as well as improving the assessment capabilities of social work practitioners for development of screening programs among at-risk elderly. Given the predicted surge in this population, significant factors found from this study can be utilized in a strengths-based empowerment approach by social workers to aid in avoiding LSNH utilization.

The Impact of Obesity and Arthritis on Active Life Expectancy in Older Americans

This article examines the relationship of obesity and arthritis to length of life and length of disabled life in older American men and women. Secondary data analysis is conducted on three waves of the Asset and Health Dynamics Among the Oldest Old (AHEAD) survey (n = 7,381). Using integrated Markov chains, total, active, and disabled life expectancy in Americans aged > or =70 is estimated, with and without obesity and arthritis. Results indicate that neither obesity nor arthritis is related to the length of life for older men and women, alone or in combination. However, both conditions are significantly individually associated with increased length of disabled life in older men (1.4 years attributable to obesity; 1.2 years to arthritis at age 70; P < 0.05) and women (1.7 years attributable to obesity; 2.1 years to arthritis at age 70; P < 0.05). In addition, the combination of the two is significantly related to decreased active life, with nearly 50 and 60% of remaining life for 70-year-old men and women lived with disability, respectively (P < 0.05). Coupled with the fact that both obesity and arthritis are growing in prevalence, these findings represent one of the few clearly negative health trends in older adults today. These results should provide incentives for health-care professionals to make concerted efforts to address both conditions in clinical settings.

Health Risk and Portfolio Choice

This article investigates the role of self-perceived risky health in explaining continued reductions in financial risk taking after retirement. If future adverse health shocks threaten to increase the marginal utility of consumption, either by absorbing wealth or by changing the utility function, then health risk should prompt individuals to lower their exposure to financial risk. I examine individual-level data from the Study of Assets and Health Dynamics Among the Oldest Old (AHEAD), which reveal that risky health prompts safer investment. Elderly singles respond the most to health risk, consistent with a negative cross partial deriving from health shocks that impede home production. Spouses and planned bequests provide some degree of hedging. Risky health may explain 20%% of the age-related decline in financial risk taking after retirement.

End-of-Life Medical Treatment Choices: Do Survival Chances and Out-of-Pocket Costs Matter?

Out-of-pocket medical expenditures incurred prior to the death of a spouse could deplete savings and impoverish the surviving spouse. Little is known about the public's opinion as to whether spouses should forego such end-of-life (EOL) medical care to prevent asset depletion. To analyze how elderly and near elderly adults assess hypothetical EOL medical treatment choices under different survival probabilities and out-of-pocket treatment costs. Survey data on a total of 1143 adults, with 589 from the Asset and Health Dynamics Among the Oldest Old (AHEAD) and 554 from the Health and Retirement Study (HRS), were used to study EOL cancer treatment recommendations for a hypothetical anonymous married woman in her 80s. Respondents were more likely to recommend treatment when it was financed by Medicare than by the patient's own savings and when it had 60% rather than 20% survival probability. Black and male respondents were more likely to recommend treatment regardless of survival probability or payment source. Treatment uptake was related to the order of presentation of treatment options, consistent with starting point bias and framing effects. Elderly and near elderly adults would recommend that the hypothetical married woman should forego costly EOL treatment when the costs of the treatment would deplete savings. When treatment costs are covered by Medicare, respondents would make the recommendation to opt for care even if the probability of survival is low, which is consistent with moral hazard. The sequence of presentation of treatment options seems to affect patient treatment choice.

Enhancing the Quality of Data on the Measurement of Income and Wealth

Over the last decade or so, a substantial effort has gone into the design of a series of methodological investigations aimed at enhancing the quality of survey data on income and wealth. These investigations have largely been conducted at the Survey Research Center at the University of Michigan, and have mainly involved two longitudinal surveys: the Health and Retirement Study (HRS), with a first wave beginning in 1992 and continued thereafter every other year through 2006; and the Assets and Health Dynamics Among the Oldest Old (AHEAD) Study, begun in 1993 and continued in 1995 and 1998, then in every other year through 2006. This paper provides an overview of the main studies and summarizes what has been learned so far. The studies include; a paper by Juster and Smith (Improving the Quality of Economic Data: Lessons from the HRS and AHEAD, JASA, 1997); a paper by Juster, Cao, Perry and Couper (The Effect of Unfolding Brackets on the Quality of Wealth Data in HRS, MRRC Working Paper, WP 2006-113, January 2006); a paper by Hurd, Juster and Smith (Enhancing the Quality of Data on Income: Recent Innovations from the HRS, Journal of Human Resources, Summer 2003); a paper by Juster, Lupton and Cao (Ensuring Time-Series Consistency in Estimates of Income and Wealth, MRRC Working Paper, WP 2002-030, July 2002); a paper by Cao and Juster (Correcting Second-Home Equity in HRS/AHEAD: MRRC Working Paper WP 2004-081, June 2004); and a paper by Rohwedder, Haider and Hurd (RAND Working Paper, 2004).