Validation of self-reported cancer diagnoses using Medicare diagnostic claims in the U.S. Health and Retirement Study, 2000-2016

Comparing Medicare plan selection among beneficiaries with and without a history of cancer

Individuals aging into Medicare must choose among plans that vary in their scope of benefits, access to health care providers, and exposure to out-of-pocket expenses. When faced with complex coverage decisions, it is unclear whether older adults consider their experiences with prior serious illness or current medical conditions. We estimated the association between a self-reported history of cancer and initial plan selection among 3811 Health and Retirement Study participants aging into Medicare between 2008 and 2020. The proportion of individuals with and without a history of cancer who chose Medicare Advantage was similar; however, the probability of selecting traditional Medicare plus supplemental coverage was 8.03 percentage points (95% confidence interval, 2.99-13.07) higher for respondents with a history of cancer compared with those without a history of cancer. Individuals with a history of cancer may have accounted for their previous experiences with high-cost health care services and prioritized plans with robust benefits (eg, greater financial protections). Raising awareness of and enhancing educational resources could ensure that older adults select plans that meet their current and evolving health care needs.

Joint association of sedentary behavior and vitamin D status with mortality among cancer survivors

BACKGROUND

Sedentary behavior and vitamin D deficiency are independent risk factors for mortality in cancer survivors, but their joint association with mortality has not been investigated.

METHODS

We analyzed data from 2914 cancer survivors who participated in the National Health and Nutrition Examination Survey (2007-2018) and followed up with them until December 31, 2019. Sedentary behavior was assessed by self-reported daily hours of sitting, and vitamin D status was measured by serum total 25-hydroxyvitamin D (25(OH)D) levels.

RESULTS

Among 2914 cancer survivors, vitamin D deficiency was more prevalent in those with prolonged daily sitting time. During up to 13.2 years (median, 5.6 years) of follow-up, there were 676 deaths (cancer, 226; cardiovascular disease, 142; other causes, 308). The prolonged sitting time was associated with a higher risk of all-cause and noncancer mortality, and vitamin D deficiency was associated with a higher risk of all-cause and cancer mortality. Furthermore, cancer survivors with both prolonged sitting time (≥ 6 h/day) and vitamin D deficiency had a significantly higher risk of all-cause (HR, 2.05; 95% CI: 1.54-2.72), cancer (HR, 2.33; 95% CI, 1.47-3.70), and noncancer mortality (HR, 1.91; 95% CI, 1.33-2.74) than those with neither risk factor after adjustment for potential confounders.

CONCLUSIONS

In a nationally representative sample of U.S. cancer survivors, the joint presence of sedentary behavior and vitamin D deficiency was significantly associated with an increased risk of all-cause and cancer-specific mortality.

Advancing methods for the biodemography of aging within social contexts

Several social dimensions including social integration, status, early-life adversity, and their interactions across the life course can predict health, reproduction, and mortality in humans. Accordingly, the social environment plays a fundamental role in the emergence of phenotypes driving the evolution of aging. Recent work placing human social gradients on a biological continuum with other species provides a useful evolutionary context for aging questions, but there is still a need for a unified evolutionary framework linking health and aging within social contexts. Here, we summarize current challenges to understand the role of the social environment in human life courses. Next, we review recent advances in comparative biodemography and propose a biodemographic perspective to address socially driven health phenotype distributions and their evolutionary consequences using a nonhuman primate population. This new comparative approach uses evolutionary demography to address the joint dynamics of populations, social dimensions, phenotypes, and life history parameters. The long-term goal is to advance our understanding of the link between individual social environments, population-level outcomes, and the evolution of aging.

Functional aging trajectories of older cancer survivors: a latent growth analysis of the US Health and Retirement Study

PURPOSE

We aimed to identify prototypical functional aging trajectories of US cancer survivors aged 50 and older, overall and stratified by sociodemographic and health-related characteristics.

METHODS

Data were from 2986 survivors of a first incident cancer diagnosis (except non-melanoma skin cancer) after age 50 in the population representative U.S. Health and Retirement Study from 1998-2016. Cancer diagnoses, episodic memory function, and activity of daily living (ADL) limitations were assessed at biennial study interviews. Using time of cancer diagnosis as the baseline, we used group-based trajectory modeling to identify trajectories of memory function and ADL limitations following diagnosis.

RESULTS

We identified five memory loss trajectories (high: 8.4%; medium-high: 18.3%; medium-low: 21.5%; low: 25.5%; and, very low: 26.2%), and four ADL limitation trajectories (high/increasing limitations: 18.7%; medium limitations: 18.7%; low limitations: 8.14%; no limitations: 60.0). The high memory loss and high/increasing ADL limitation trajectories were both characterized by older age, being female (52% for memory, 58.9% for ADL), having lower pre-cancer memory scores, and a higher prevalence of pre-cancer comorbidities including stroke (30.9% for memory and 29.7% for ADL), hypertension (64.7% for memory and 69.8 for ADL), and depressive symptoms. In joint analyses, we found that generally those with higher memory were more likely to have fewer ADL limitations and vice versa.

CONCLUSION

Older cancer survivors experience heterogeneous trajectories of functional aging that are largely characterized by comorbidities prior to diagnosis.

IMPLICATION FOR CANCER SURVIVORS

Results can help identify older cancer survivors at increased risk for accelerated functional decline.

Aging measures and cancer: Findings from the Health and Retirement Study

Background

Compared to cancer-free persons, cancer survivors of the same chronological age (CA) have increased physiological dysfunction, i.e., higher biological age (BA), which may lead to higher morbidity and mortality. We estimated BA using eight aging metrics: BA computed by Klemera Doubal method (KDM-BA), phenotypic age (PhenoAge), five epigenetic clocks (ECs, Horvath, Hannum, Levine, GrimAge, and pace of aging (POA)), and subjective age (SA). We tested if aging constructs were associated with total cancer prevalence and all-cause mortality in cancer survivors and controls, i.e., cancer-free persons, in the Health and Retirement Study (HRS), a large population-based study.

Methods

In 2016, data on BA-KDM, PhenoAge, and SA were available for 946 cancer survivors and 4,555 controls; data for the five ECs were available for 582 cancer survivors and 2,805 controls. Weighted logistic regression was used to estimate the association between each aging construct and cancer prevalence (odds ratio, OR, 95%CI). Weighted Cox proportional hazards regression was used to estimate the associations between each aging construct and cancer incidence as well as all-cause mortality (hazard ratio, HR, 95%CI). To study all BA metrics (except for POA) independent of CA, we estimated age acceleration as residuals of BA regressed on CA.

Results

Age acceleration for each aging construct and POA were higher in cancer survivors than controls. In a multivariable-adjusted model, five aging constructs (age acceleration for Hannum, Horvath, Levine, GrimAge, and SA) were associated with cancer prevalence. Among all cancer survivors, age acceleration for PhenoAge and four ECs (Hannum, Horvath, Levine, and GrimAge), was associated with higher all-cause mortality over 4 years of follow-up. PhenoAge, Hannum, and GrimAge were also associated with all-cause mortality in controls. The highest HR was observed for GrimAge acceleration in cancer survivors: 2.03 (95% CI, 1.58-2.60). In contrast, acceleration for KDM-BA and POA was significantly associated with mortality in controls but not in cancer survivors. When all eight aging constructs were included in the same model, two of them (Levine and GrimAge) were significantly associated with mortality among cancers survivors. None of the aging constructs were associated with cancer incidence.

Conclusion

Variations in the associations between aging constructs and mortality in cancer survivors and controls suggests that aging constructs may capture different aspects of aging and that cancer survivors may be experiencing age-related physiologic dysfunctions differently than controls. Future work should evaluate how these aging constructs predict mortality for specific cancer types.

Validation of Self-Reported Cancer Diagnoses by Respondent Cognitive Status in the U.S. Health and Retirement Study

BACKGROUND

Cancer and dementia are becoming increasingly common co-occurring conditions among older adults. Yet, the influence of participant cognitive status on the validity of self-reported data among older adults in population-based cohorts is unknown. We thus compared self-reported cancer diagnoses in the U.S. Health and Retirement Study (HRS) against claims from linked Medicare records to ascertain the validity of self-reported diagnoses by participant cognitive and proxy interview status.

METHODS

Using data from HRS participants aged ≥67 who had at least 90% continuous enrollment in fee-for-service Medicare, we examined the validity of self-reported first incident cancer diagnoses from biennial HRS interviews against diagnostic claim records in linked Medicare data (reference standard) for interviews from 2000 to 2016. Cognitive status was classified as normal, cognitive impairment no dementia (CIND), or dementia using the Langa-Weir method. We calculated the sensitivity, specificity, and κ for cancer diagnosis.

RESULTS

Of the 8 280 included participants, 23.6% had cognitive impairment without dementia (CIND) or dementia, and 10.7% had a proxy respondent due to an impairment. Self-reports of first incident cancer diagnoses for participants with normal cognition had 70.2% sensitivity and 99.8% specificity (κ = 0.79). Sensitivity declined substantially with cognitive impairment and proxy response (56.7% for CIND, 53.0% for dementia, 60.0% for proxy respondents), indicating poor validity for study participants with CIND, dementia, or a proxy respondent.

CONCLUSIONS

Self-reported cancer diagnoses in the U.S. HRS have poor validity for participants with cognitive impairment, dementia, or a proxy respondent. Population-based cancer research among older adults will be strengthened with linkage to Medicare claims.

Physical activity is inversely associated with overall cancer risk among college students in the United States: Results from the National College Health Assessment

To our knowledge, this is the first epidemiologic study to examine the association between physical activity (PA) and cancer using data from the American College Health Association-National College Health Assessment (ACHA-NCHA). The goal of the study was to understand the dose-response relation between PA and cancer, as well as the associations between meeting US PA guidelines and overall cancer risk in US college students. The ACHA-NCHA provided self-reported information on demographic characteristics, PA, body mass index, smoking status, and overall cancer during 2019-2022 (n = 293,682; 0.08% cancer cases). To illustrate the dose-response relationship, a restricted cubic spline logistic regression analysis was used to evaluate the association of overall cancer with moderate-to-vigorous PA (MVPA) on a continuous basis. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals for the associations between meeting the three U.S. PA guidelines and overall cancer risk. The cubic spline observed that MVPA was inversely associated with the odds of overall cancer risk after adjusting for covariates; a one hour/week increase in moderate and vigorous PA was associated with a 1% and 5% reduced overall cancer risk, respectively. Multivariable-adjusted logistic regression analyses showed that meeting the US guidelines for aerobic PA for adults (≥150 minutes/week of moderate aerobic PA or ≥75 minutes of vigorous PA) (OR: 0.85), for PA for adults (≥2 days of muscle strengthening activity in addition to aerobic MVPA) (OR: 0.90), and for highly active adults (≥2 days of muscle strengthening activity and ≥300 minutes/week of aerobic moderate PA or 150 minutes/week of vigorous PA) (OR: 0.89) were statistically significant and inversely associated with cancer risk. MVPA, especially meeting US guidelines, may be inversely associated with overall cancer among college students in the US. To reduce cancer risks, multilevel interventions to promote US physical activity guidelines among college students are warranted.

The association of health behaviors prior to cancer diagnosis and functional aging trajectories after diagnosis: Longitudinal cohort study of middle-aged and older US cancer survivors

We aimed to determine the influence of modifiable health behaviors prior to a cancer diagnosis on functional aging trajectories after diagnosis among middle-aged and older cancer survivors in the United States. Data were from biennial interviews with 2,717 survivors of a first incident cancer diagnosis after age 50 in the population-based US Health and Retirement Study from 1998 to 2016. Smoking status, alcohol use, and vigorous physical activity frequency were assessed at the interview prior to cancer diagnosis. Confounder-adjusted multinomial logistic regression was used to determine the associations between each pre-diagnosis health behavior and post-diagnosis trajectories of memory function and limitations to activities of daily living (ADLs), which were identified using group-based trajectory modeling. Overall, 20.7 % of cancer survivors were current smokers, 30.6 % drank alcohol, and 27.1 % engaged in vigorous physical activity >=once a week prior to their diagnosis. In the years following diagnosis, those who had engaged in vigorous physical activity > once a week were less likely to have a medium-high (OR: 0.5; 95 % CI: 0.2-0.9) or medium-low memory loss trajectories (OR: 0.6; 95 % CI: 0.3-1.0) versus very low memory loss trajectory, and were less likely to have a high, increasing ADL limitation trajectory (OR: 0.3; 95 % CI: 0.2, 0.6) versus no ADL limitation trajectory. Vigorous physical activity, but not smoking or alcohol use, was associated with better post-diagnosis functional aging trajectories after a first incident cancer diagnosis in mid-to-later life in this population-based study. Identification of modifiable risk factors can inform targeted interventions to promote healthy aging among cancer survivors.

Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study

Background

Cellular changes in adaptive immune system accompany the process of aging and contribute to an aging-related immune phenotype (ARIP) characterized by decrease in naïve T-cells (T_N) and increase in memory T-cells (T_M). A population-representative marker of ARIP and its associations with biological aging and age-related chronic conditions have not been studied previously.

Methods

We developed two ARIP indicators based on well understood age-related changes in T cell distribution: T_N/(T_CM (Central Memory) + T_EM (Effector Memory) + T_EFF (Effector)) (referred as T_N/T_M) in CD4 + and CD8 + T-cells. We compared them with existing ARIP measures including CD4/CD8 ratio and CD8 + TN cells by evaluating associations with chronological age and the Klemera Doubal measure of biological age (measured in years) using linear regression, multimorbidity using multinomial logistic regression and two-year mortality using logistic regression.

Results

CD8 + T_N and CD8 + T_N/T_M had the strongest inverse association with chronological age (beta estimates: -3.41 and -3.61 respectively; p-value < 0.0001) after adjustment for sex, race/ethnicity and CMV status. CD4 + T_N/T_M and CD4 + T_N had the strongest inverse association with biological age (β = -0.23; p = 0.003 and β = -0.24; p = 0.004 respectively) after adjustment for age, sex, race/ethnicity and CMV serostatus. CD4/CD8 ratio was not associated with chronological age or biological age. CD4 + T_N/T_M and CD4 + T_N was inversely associated with multimorbidity. For CD4 + T_N/T_M, people with 2 chronic conditions had an odds ratio of for 0.74 (95%CI: 0.63–0.86 p = 0.0003) compared to those without any chronic conditions while those with 3 chronic conditions had an odds ratio of 0.75 (95% CI: 0.63–0.90; p = 0.003) after adjustment for age, sex, race/ethnicity, CMV serostatus, smoking, and BMI. The results for the CD4 + T_N subset were very similar to the associations seen with the CD4 + T_N/T_M. CD4 + T_N/T_M and CD4 + T_N were both associated with two-year mortality (OR = 0.80 (95% CI: 0.67–0.95; p = 0.01) and 0.81 (0.70–0.94; p = 0.01), respectively).

Conclusion

CD4 + T_N/T_M and CD4 + T_N had a stronger association with biological age, age-related morbidity and mortality compared to other ARIP measures. Future longitudinal studies are needed to evaluate the utility of the CD4 + subsets in predicting the risk of aging-related outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12979-022-00290-z.

Multimorbidity burden and developmental trajectory in relation to later‐life dementia: A prospective study

INTRODUCTION

This study assessed the associations of multimorbidity burden and its developmental trajectory with later-life dementia.

METHODS

Among 5923 Health and Retirement Study participants, major chronic conditions including hypertension, diabetes mellitus, cancer, lung diseases, heart disease, stroke, psychological disorders, and arthritis were self- or proxy-reported in 1994-2008. Dementia diagnosis was self- or proxy-reported in 2008-2018. We used Cox regression to assess the associations of multimorbidity with incident dementia.

RESULTS

During follow-up (median = 8 years), 701 participants developed dementia. Each additional chronic condition in 2008 was related to 15% (confidence interval: 9% to 22%) higher hazard of dementia. Multimorbidity trajectories in 1994-2008 were classified as "rapid growth", "steady growth", "slow growth", and "no new condition" by the group-based trajectory modelling methods. Compared to "no new condition", the "rapid growth" trajectory was related to 32% (3% to 69%) higher dementia risk.

CONCLUSIONS

Both multimorbidity burden and its developmental trajectory were prospectively associated with risk of dementia.