Does Neighborhood Socioeconomic Status Alter Memory Change Associated with a Cancer Diagnosis? Preliminary Evidence from the US Health and Retirement Study.

BACKGROUND: Neighborhood disadvantage has been linked to cognitive impairment, but little is known about the effect of neighborhood disadvantage on long-term cancer-related memory decline. METHODS: Incident cancer diagnosis and memory (immediate and delayed recall, combined with proxy-reported memory) were assessed at biennial interviews in the US Health and Retirement Study (N = 13,293, 1998-2016). Neighborhood disadvantage was measured using the National Neighborhood Data Archive disadvantage index, categorized into tertiles (T1: least disadvantaged-T3: most disadvantaged). Linear mixed-effects models estimated the standardized memory trajectories in participants with or without cancer, by neighborhood disadvantage. RESULTS: Living in more disadvantaged neighborhoods was associated with worse mean memory function and steeper memory declines, regardless of cancer status. An incident cancer diagnosis was associated with an acute memory drop for those living in least disadvantaged neighborhoods but not more disadvantaged neighborhoods [T1: -0.05, 95% confidence interval (CI): -0.08, -0.01; T3: -0.13, 95% CI: -0.06, 0.03]. Cancer survivors in the least disadvantaged neighborhoods had a slight memory advantage in the years prior to diagnosis (T1: 0.09, 95% CI: 0.04, 0.13) and after diagnosis (T1: 0.07, 95% CI: 0.01, 0.13). CONCLUSIONS: An incident cancer diagnosis among those living in the least disadvantaged neighborhoods was associated with an acute memory drop at the time of diagnosis and a long-term memory advantage before and after diagnosis compared with cancer-free individuals in similar neighborhoods. IMPACT: These findings could inform interventions to promote cancer survivor's long-term aging. Future studies should investigate the social and biological pathways through which neighborhood socioeconomic status could influence cancer-related memory changes.

The association of pre-cancer diagnosis cardiovascular risk factors with memory aging after a cancer diagnosis, overall and by race/ethnicity.

PURPOSE: Cardiovascular risk factors (CVRFs) are associated with increased risk for cognitive impairment and decline in the general population, but less is known about how CVRFs might influence cognitive aging among older cancer survivors. We aimed to determine how CVRFs prior to a cancer diagnosis affect post-cancer diagnosis memory aging, compared to cancer-free adults, and by race/ethnicity. METHODS: Incident cancer diagnoses and memory (immediate and delayed recall) were assessed biennially in the US Health and Retirement Study (N = 5,736, 1998-2018). CVRFs measured at the wave prior to a cancer diagnosis included self-reported cigarette smoking, obesity, diabetes, heart disease, hypertension, and stroke. Multivariable-adjusted linear mixed-effects models evaluated the rate of change in standardized memory score (SD/decade) post-cancer diagnosis for those with no, medium, and high CVRFs, compared to matched cancer-free adults, overall and stratified by sex and race/ethnicity. RESULTS: Higher number of CVRFs was associated with worse baseline memory for both men and women, regardless of cancer status. Cancer survivors with medium CVRFs had slightly slower rates of memory decline over time relative to cancer-free participants (0.04 SD units/decade [95% CI: 0.001, 0.08]). Non-Hispanic Black (NHB) and Hispanic cancer-free participants and cancer survivors had worse baseline memory than their Non-Hispanic White (NHW) counterparts. CONCLUSIONS: CVRFs were associated with worse baseline memory function, but not decline, for cancer-free adults and cancer survivors. Racial disparities were largely similar between cancer survivors and cancer-free adults. IMPLICATIONS FOR CANCER SURVIVORS: These findings may inform hypotheses about pre-diagnosis multimorbidity and cognitive aging of cancer survivors from diverse groups.

Trends in the prevalence of cognitive impairment at old age in China, 2002-2018.

INTRODUCTION: China has the world's largest number of older adults with cognitive impairment (CI). We aimed to examine secular trends in the prevalence of CI in China from 2002 to 2018. METHODS: Generalized estimating equations (GEE) was used to assess changes in CI trend in 44,154 individuals (72,027 observations) aged 65 to 105 years old. RESULTS: The prevalence of CI increased from 2002 to 2008 and then decreased until 2018. The age-standardized prevalence increased from 25.7% in 2002, 26.1% in 2005, to 28.2% in 2008, then decreased to 26.0% in 2011, 25.3% in 2014, and 24.9% in 2018. Females and those ≥ 80 years old had greater CI prevalence. DISCUSSION: The prevalence of CI showed an inverted U shape from early 2000s to late 2010s with a peak in 2008. Follow-up studies are needed to confirm the decreasing trend after 2008 and examine the contributing factors and underlying mechanisms of this trend. HIGHLIGHTS: Generalized estimating equations (GEE) were used to assess trends of changes in cognitive impairment (CI). CI prevalence in China increased from 2002 to 2008 and then decreased until 2018. Females and those ≥ 80 years old had greater CI prevalence. Stroke, diabetes, and cigarette smoking were risk factors for CI.

The Association of Cognitive Status and Post-Operative Opioid Prescribing in Older Adults.

Objective: To examine the differences in opioid prescribing by cognitive status following common elective surgical procedures among Medicare beneficiaries. Background: Older individuals commonly experience changes in cognition with age. Although opioid prescribing is common after surgery, differences in opioid prescribing after surgery by cognitive status are poorly understood. Methods: We conducted a retrospective analysis of patients ≥65 years participating in the Health and Retirement Study (HRS) linked with Medicare claims data who underwent surgeries between January 2007 and November 2016 and had cognitive assessments before the index operation. Cognitive status was defined as normal cognition, mild cognitive impairment (MCI), or dementia. Outcomes assessed were initial perioperative opioid fill rates, refill rates, and high-risk prescriptions fill rates. The total amount of opioids filled during the 30-day postdischarge period was also assessed. Adjusted rates were estimated for patient factors using the Cochran-Armitage test for trend. Results: Among the 1874 patients included in the analysis, 68% had normal cognition, 21.3% had MCI, and 10.7% had dementia. Patients with normal cognition (58.1%) and MCI (54.5%) had higher initial preoperative fill rates than patients with dementia (33.5%) (P < 0.001). Overall, patients with dementia had similar opioid refill rates (21%) to patients with normal cognition (24.1%) and MCI (26.5%) (P = 0.322). Although prior opioid exposure did not differ by cognitive status (P = 0.171), among patients with high chronic preoperative use, those with dementia had lower adjusted prescription sizes filled within 30 days following discharge (281 OME) than patients with normal cognition (2147 OME) and MCI (774 OME) (P < 0.001; P = 0.009 respectively). Among opioid-naive patients, patients with dementia also filled smaller prescription sizes (97 OME) compared to patients with normal cognition (205 OME) and patients with MCI (173 OME) (P < 0.001 and P = 0.019, respectively). Conclusions: Patients with dementia are less likely to receive postoperative prescriptions, less likely to refill prescriptions, and receive prescriptions of smaller sizes compared to patients with normal cognition or MCI. A cognitive assessment is an additional tool surgeons can use to determine a patient's individualized postoperative pain control plan.

Association Between Loneliness and Postoperative Mortality Among Medicare Beneficiaries.

This cohort study uses data from the Health and Retirement Study and Medicare claims to examine the association between loneliness and postoperative mortality after elective vs nonelective surgery among older adults.

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.

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.

The Influence of Cognitive Impairment on Postoperative Outcomes.

OBJECTIVE: To examine differences in rates of elective surgery, postoperative mortality, and readmission by pre-existing cognitive status among Medicare beneficiaries undergoing surgery. BACKGROUND: MCI is common among older adults, but the impact of MCI on surgical outcomes is understudied. METHODS: We conducted a retrospective cohort study of individuals ≥65 who underwent surgery between 2001 and 2015 using data from the nationally-representative Health and Retirement Study linked with Medicare claims. Cognitive status was assessed by the modified telephone interview for cognitive status score and categorized as normal cognition (score: 12-27), MCI (7-11), and dementia (<7). Outcomes were 30- and 90-day postoperative mortality and readmissions. We used Cox proportional hazard models to estimate the risk of each outcome by cognition, adjusting for patient characteristics. RESULTS: In 6,590 patients, 69.9% had normal cognition, 20.1% had MCI, and 9.9% had dementia. Patients with MCI (79.9%) and dementia (73.6%) were less likely to undergo elective surgery than patients with normal cognition (85.9%). Patients with MCI had similar postoperative mortality and readmissions rates as patients with normal cognition. However, patients with dementia had significantly higher postoperative 90-day mortality (5.2% vs 8.4%, P = 0.002) and readmission rates (13.9% vs 17.3%, P = 0.038). CONCLUSION: Patients with self-reported MCI are less likely to undergo elective surgery but have similar postoperative outcomes compared with patients with normal cognition. Despite the variability of defining MCI, our findings suggest that MCI may not confer additional risk for older individuals undergoing surgery, and should not be a barrier for surgical care.

Interactions between the apolipoprotein E4 gene and modifiable risk factors for cognitive impairment: a nationally representative panel study.

BACKGROUND: Few studies using rigorous clinical diagnosis have considered whether associations with cognitive decline are potentiated by interactions between genetic and modifiable risk factors. Given the increasing burden of cognitive impairment (CI) and dementia, we assessed whether Apolipoprotein E ε4 (APOE4) genotype status modifies the association between incident CI and key modifiable risk factors . METHODS: Older adults (70+) in the US were included. APOE4 status was genotyped. Risk factors for CI were self-reported. Cognitive status (normal, CI, or dementia) was assigned by clinical consensus panel. In eight separate Cox proportional hazard models, we assessed for interactions between APOE4 status and other CI risk factors. RESULT: The analytical sample included 181 participants (mean age 77.7 years; 45.9% male). APOE4 was independently associated with a greater hazard of CI in each model (Hazard Ratios [HR] between 1.81-2.66, p < 0.05) except the model evaluating educational attainment (HR 1.65, p = 0.40). The joint effects of APOE4 and high school education or less (HR 2.25, 95% CI: 1.40-3.60, p < 0.001), hypertension (HR 2.46, 95% CI: 1.28-4.73, p = 0.007), elevated depressive symptoms (HR 5.09, 95% CI: 2.59-10.02, p < 0.001), hearing loss (HR 3.44, 95% CI: 1.87-6.33, p < 0.0001), vision impairment (HR 5.14, 95% CI: 2.31-11.43, p < 0.001), smoking (HR 2.35, 95% CI: 1.24-4.47, p = 0.009), or obesity (HR 3.80, 95% CI: 2.11-6.85, p < 0.001) were associated with the hazard of incident CIND (compared to no genetic or modifiable risk factor) in separate models. The joint effect of Apolipoprotein ε4 and type 2 diabetes was not associated with CIND (HR 1.58, 95% CI: 0.67-2.48, p = 0.44). DISCUSSION: The combination of APOE4 and selected modifiable risk factors conveys a stronger association with incident CI than either type of risk factor alone.

Treatment preferences among adults with normal cognition and cognitive impairment.

BACKGROUND: Although patient participation in treatment decisions is important for preference-concordant care delivery, it is largely unknown how cognitive impairment influences treatment preferences. We investigated whether treatment preferences for the care of serious illness differ between adults with and without cognitive impairment in hypothetical clinical scenarios. METHODS: Data from the 2018 Health and Retirement Study were used. The sample included 1291 self-respondents (201 respondents with cognitive impairment, and 1090 with normal cognition). We examined treatment preferences for life-extending, limited, and comfort care options in two hypothetical clinical scenarios where the respondent imagines a patient with (1) good physical health with severe cognitive impairment consistent with dementia; and (2) with physical impairment due to a heart attack, but normal cognition. Respondents specified whether they were unsure, or if they would want or not want each treatment option. Linear probability models were used to compare treatment preferences by cognitive status. RESULTS: Respondents with cognitive impairment were more likely to report that they were unsure about treatment options across both clinical scenarios compared to those with normal cognition. For the limited treatment option, cognitive impairment was associated with a lower rate of expressing a treatment preference by 7.3 (p = 0.070) and 8.5 (p = 0.035) percentage points for dementia and heart attack scenarios, respectively. Among those who articulated preferences, cognitive impairment was associated with a higher rate of preference for life-extending treatment in both dementia (30.1% vs. 20.0%, p = 0.044) and heart attack scenarios (30.0% vs. 20.2%, p = 0.033). CONCLUSIONS: Compared to those with normal cognition, cognitive impairment was associated with greater uncertainty about treatment preferences and higher rates of aggressive care preferences among those who specified preferences. Further research should assess whether preferences for aggressive care become more common as cognition declines in order to improve preference-concordant care delivery for patients with cognitive impairment.

Development and External Validation of a Mortality Prediction Model for Community-Dwelling Older Adults With Dementia.

Importance: Estimating mortality risk in older adults with dementia is important for guiding decisions such as cancer screening, treatment of new and chronic medical conditions, and advance care planning. Objective: To develop and externally validate a mortality prediction model in community-dwelling older adults with dementia. Design, Setting, and Participants: This cohort study included community-dwelling participants (aged ≥65 years) in the Health and Retirement Study (HRS) from 1998 to 2016 (derivation cohort) and National Health and Aging Trends Study (NHATS) from 2011 to 2019 (validation cohort). Exposures: Candidate predictors included demographics, behavioral/health factors, functional measures (eg, activities of daily living [ADL] and instrumental activities of daily living [IADL]), and chronic conditions. Main Outcomes and Measures: The primary outcome was time to all-cause death. We used Cox proportional hazards regression with backward selection and multiple imputation for model development. Model performance was assessed by discrimination (integrated area under the receiver operating characteristic curve [iAUC]) and calibration (plots of predicted and observed mortality). Results: Of 4267 participants with probable dementia in HRS, the mean (SD) age was 82.2 (7.6) years, 2930 (survey-weighted 69.4%) were female, and 785 (survey-weighted 12.1%) identified as Black. Median (IQR) follow-up time was 3.9 (2.0-6.8) years, and 3466 (81.2%) participants died by end of follow-up. The final model included age, sex, body mass index, smoking status, ADL dependency count, IADL difficulty count, difficulty walking several blocks, participation in vigorous physical activity, and chronic conditions (cancer, heart disease, diabetes, lung disease). The optimism-corrected iAUC after bootstrap internal validation was 0.76 (95% CI, 0.75-0.76) with time-specific AUC of 0.73 (95% CI, 0.70-0.75) at 1 year, 0.75 (95% CI, 0.73-0.77) at 5 years, and 0.84 (95% CI, 0.82-0.85) at 10 years. On external validation in NHATS (n = 2404), AUC was 0.73 (95% CI, 0.70-0.76) at 1 year and 0.74 (95% CI, 0.71-0.76) at 5 years. Calibration plots suggested good calibration across the range of predicted risk from 1 to 10 years. Conclusions and Relevance: We developed and externally validated a mortality prediction model in community-dwelling older adults with dementia that showed good discrimination and calibration. The mortality risk estimates may help guide discussions regarding treatment decisions and advance care planning.

Differential Relationships Between the Montreal Cognitive Assessment and Informant-Rated Cognitive Decline Among Mexican Americans and Non-Hispanic Whites.

OBJECTIVES: We compared the concurrent validity of the Montreal Cognitive Assessment (MoCA) with other cognitive screening instruments among Mexican Americans (MA) and non-Hispanic whites (NHW). METHODS: In a community-based study in Nueces county, Texas (5/2/18-2/26/20), participants 65+ with MoCA ≤25 completed the Harmonized Cognitive Assessment Protocol. Regressions examined associations between MoCA and: 1) Mini Mental State Examination (MMSE); 2) abbreviated Community Screening Interview for Dementia (CSI-D); 3) Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). RESULTS: MA (n = 229) and NHW (n = 81) differed by education but not age or sex. MoCA and cognitive performance associations (MMSE, CSI-D-Respondent) did not differ between MA and NHW (p's > .16). MoCA and informant rating associations (IQCODE, CSI-D-Informant) were stronger in NHW than MA (NHW R2 = 0.39 and 0.38, respectively; MA R2 = 0.30 and 0.28, respectively). DISCUSSION: Our findings suggest non-equivalence across cognitive screening instruments among MAs and NHWs.

Prevalence of Central Nervous System-Active Polypharmacy Among Older Adults With Dementia in the US.

Importance: Community-dwelling older adults with dementia have a high prevalence of psychotropic and opioid use. In these patients, central nervous system (CNS)-active polypharmacy may increase the risk for impaired cognition, fall-related injury, and death. Objective: To determine the extent of CNS-active polypharmacy among community-dwelling older adults with dementia in the US. Design, Setting, and Participants: Cross-sectional analysis of all community-dwelling older adults with dementia (identified by International Classification of Diseases, Ninth Revision, Clinical Modification or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes; N = 1 159 968) and traditional Medicare coverage from 2015 to 2017. Medication exposure was estimated using prescription fills between October 1, 2017, and December 31, 2018. Exposures: Part D coverage during the observation year (January 1-December 31, 2018). Main Outcomes and Measures: The primary outcome was the prevalence of CNS-active polypharmacy in 2018, defined as exposure to 3 or more medications for longer than 30 days consecutively from the following classes: antidepressants, antipsychotics, antiepileptics, benzodiazepines, nonbenzodiazepine benzodiazepine receptor agonist hypnotics, and opioids. Among those who met the criterion for polypharmacy, duration of exposure, number of distinct medications and classes prescribed, common class combinations, and the most commonly used CNS-active medications also were determined. Results: The study included 1 159 968 older adults with dementia (median age, 83.0 years [interquartile range {IQR}, 77.0-88.6 years]; 65.2% were female), of whom 13.9% (n = 161 412) met the criterion for CNS-active polypharmacy (32 139 610 polypharmacy-days of exposure). Those with CNS-active polypharmacy had a median age of 79.4 years (IQR, 74.0-85.5 years) and 71.2% were female. Among those who met the criterion for CNS-active polypharmacy, the median number of polypharmacy-days was 193 (IQR, 88-315 polypharmacy-days). Of those with CNS-active polypharmacy, 57.8% were exposed for longer than 180 days and 6.8% for 365 days; 29.4% were exposed to 5 or more medications and 5.2% were exposed to 5 or more medication classes. Ninety-two percent of polypharmacy-days included an antidepressant, 47.1% included an antipsychotic, and 40.7% included a benzodiazepine. The most common medication class combination included an antidepressant, an antiepileptic, and an antipsychotic (12.9% of polypharmacy-days). Gabapentin was the most common medication and was associated with 33.0% of polypharmacy-days. Conclusions and Relevance: In this cross-sectional analysis of Medicare claims data, 13.9% of older adults with dementia in 2018 filled prescriptions consistent with CNS-active polypharmacy. The lack of information on prescribing indications limits judgments about clinical appropriateness of medication combinations for individual patients.

Incidence of Cognitive Impairment during Aging in Rural South Africa: Evidence from HAALSI, 2014 to 2019.

INTRODUCTION: Despite rapid population aging, there are currently limited data on the incidence of aging-related cognitive impairment in sub-Saharan Africa. We aimed to determine the incidence of cognitive impairment and its distribution across key demographic, social, and health-related factors among older adults in rural South Africa. METHODS: Data were from in-person interviews with 3,856 adults aged ≥40 who were free from cognitive impairment at baseline in the population-representative cohort, "Health and Aging in Africa: a Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), in Agincourt sub-district, Mpumalanga province, South Africa (2014-19). Cognitive impairment was defined as scoring <1.5 standard deviations below the mean of the baseline distribution of orientation and episodic memory scores. Incidence rates and rate ratios for cognitive impairment were estimated according to key demographic, social, and health-related factors, adjusted for age, sex/gender, and country of birth. RESULTS: The incidence of cognitive impairment was 25.7/1,000 person-years (PY; 95% confidence interval [CI]: 23.0-28.8), weighted for mortality (12%) and attrition (6%) over the 3.5-year mean follow-up (range: 1.5-4.8 years). Incidence increased with age, from 8.9/1,000 PY (95% CI: 5.2-16.8) among those aged 40-44 to 93.5/1,000 PY (95% CI: 75.9-116.3) among those aged 80+, and age-specific risks were similar by sex/gender. Incidence was strongly associated with formal education and literacy, as well as marital status, household assets, employment, and alcohol consumption but not with history of smoking, hypertension, stroke, angina, heart attack, diabetes, or prevalent HIV. CONCLUSIONS: This study presents some of the first incidence rate estimates for aging-related cognitive impairment in rural South Africa. Social disparities in incident cognitive impairment rates were apparent in patterns similar to those observed in many high-income countries.

Impact of Patient Mild Cognitive Impairment on Physician Decision-Making for Treatment.

BACKGROUND: Older patients with mild cognitive impairment (MCI) should receive evidence-based treatments when clinically indicated. However, patients with MCI appear less likely than cognitively normal patients to receive evidence-based treatments. OBJECTIVE: To explore the influence of a patient's MCI diagnosis on physician decision-making. METHODS: Qualitative study of 18 physicians from cardiology, neurology, and internal medicine using semi-structured interviews. We sought to understand whether and how a patient's having MCI has influenced physicians' decisions about five categories of treatments or tests (surgery, invasive tests, non-invasive tests, rehabilitation, and preventive medication). We used qualitative content analysis to identify the unifying and recurrent themes. RESULTS: Most physician participants described MCI as influencing their recommendations for at least one treatment or test. We identified two major themes as factors that influenced physician recommendations in patients with MCI: Physicians assume that MCI patients' decreased cognitive ability will impact treatment; and physicians assume that MCI patients have poor health status and physical functioning that will impact treatment. These two themes were representative of physician beliefs that MCI patients have impaired independent decision-making, inability to adhere to treatment, inability to communicate treatment preferences, and increased risk and burden from treatment. CONCLUSION: A patient's MCI diagnosis influences physician decision-making for treatment. Some physician assumptions about patients with MCI were not evidence-based. This phenomenon potentially explains why many patients with MCI get fewer effective treatments or tests than cognitively normal patients. Interventions that improve how physicians understand MCI and make decisions for treatments in patients with MCI are needed.

Methods and Early Recruitment of a Community-Based Study of Cognitive Impairment Among Mexican Americans and Non-Hispanic Whites: The BASIC-Cognitive Study.

BACKGROUND: As the Mexican American (MA) population grows and ages, there is an urgent need to estimate the prevalence of cognitive impairment or dementia (CID), cognitive trajectories, and identify community resource needs. The Brain Attack Surveillance in Corpus Christi (BASIC)-Cognitive project is a population-based study to address these issues among older MAs and non-Hispanic whites (NHW) and their informal care providers. OBJECTIVE: Present the methodology and initial recruitment findings for the BASIC-Cognitive project. METHOD: Random, door-to-door case ascertainment is used in Nueces County, Texas, to recruit community-dwelling and nursing home residents ≥65 and informal care providers. Households are identified from a two-stage area probability sample, using Census data to aim for equal balance of MAs and NHWs. Individuals with cognitive screens indicative of possible CID complete neuropsychological assessment (Harmonized Cognitive Assessment Protocol from the Health and Retirement Study). Informal care providers complete comprehensive interview and needs assessment. Study pairs repeat procedures at 2-year follow-up. Asset and concept mapping are performed to identify community resources and study care providers' perceptions of needs for individuals with CID. RESULTS: 1,030 age-eligible households were identified, or 27% of households for whom age could be determined. 1,320 individuals were age-eligible, corresponding to 1.3 adults per eligible household. Initial recruitment yielded robust participation in the MA eligible population (60% of 689 individuals that completed cognitive screening). CONCLUSION: The BASIC-Cognitive study will provide critical information regarding the prevalence of CID in MAs, the impact of caregiving, and allocation of community resources to meet the needs of this population.

Association of Lifestyle and Genetic Risk With Incidence of Dementia.

IMPORTANCE: Genetic factors increase risk of dementia, but the extent to which this can be offset by lifestyle factors is unknown. OBJECTIVE: To investigate whether a healthy lifestyle is associated with lower risk of dementia regardless of genetic risk. DESIGN, SETTING, AND PARTICIPANTS: A retrospective cohort study that included adults of European ancestry aged at least 60 years without cognitive impairment or dementia at baseline. Participants joined the UK Biobank study from 2006 to 2010 and were followed up until 2016 or 2017. EXPOSURES: A polygenic risk score for dementia with low (lowest quintile), intermediate (quintiles 2 to 4), and high (highest quintile) risk categories and a weighted healthy lifestyle score, including no current smoking, regular physical activity, healthy diet, and moderate alcohol consumption, categorized into favorable, intermediate, and unfavorable lifestyles. MAIN OUTCOMES AND MEASURES: Incident all-cause dementia, ascertained through hospital inpatient and death records. RESULTS: A total of 196 383 individuals (mean [SD] age, 64.1 [2.9] years; 52.7% were women) were followed up for 1 545 433 person-years (median [interquartile range] follow-up, 8.0 [7.4-8.6] years). Overall, 68.1% of participants followed a favorable lifestyle, 23.6% followed an intermediate lifestyle, and 8.2% followed an unfavorable lifestyle. Twenty percent had high polygenic risk scores, 60% had intermediate risk scores, and 20% had low risk scores. Of the participants with high genetic risk, 1.23% (95% CI, 1.13%-1.35%) developed dementia compared with 0.63% (95% CI, 0.56%-0.71%) of the participants with low genetic risk (adjusted hazard ratio, 1.91 [95% CI, 1.64-2.23]). Of the participants with a high genetic risk and unfavorable lifestyle, 1.78% (95% CI, 1.38%-2.28%) developed dementia compared with 0.56% (95% CI, 0.48%-0.66%) of participants with low genetic risk and favorable lifestyle (hazard ratio, 2.83 [95% CI, 2.09-3.83]). There was no significant interaction between genetic risk and lifestyle factors (P = .99). Among participants with high genetic risk, 1.13% (95% CI, 1.01%-1.26%) of those with a favorable lifestyle developed dementia compared with 1.78% (95% CI, 1.38%-2.28%) with an unfavorable lifestyle (hazard ratio, 0.68 [95% CI, 0.51-0.90]). CONCLUSIONS AND RELEVANCE: Among older adults without cognitive impairment or dementia, both an unfavorable lifestyle and high genetic risk were significantly associated with higher dementia risk. A favorable lifestyle was associated with a lower dementia risk among participants with high genetic risk.

Health Risk Behaviors after Disaster Exposure Among Older Adults.

OBJECTIVE: The aim of this study was to examine the extent to which an exposure to disaster is associated with change in health behaviors. METHODS: Federal disaster declarations were matched at the county-level to self-reported behaviors for participants in the Health and Retirement Study (HRS), 2000-2014. Multivariable logistic regression was used to evaluate the relationship between disaster and change in physical activity, body mass index (BMI), and cigarette smoking. RESULTS: The sample included 20,671 individuals and 59,450 interviews; 1,451 unique disasters were declared in counties in which HRS respondents lived during the study period. Exposure to disaster was significantly associated with weight gain (unadjusted RRR=1.19; 95% CI, 1.11-1.27; adjusted RRR=1.21; 95% CI, 1.13-1.30). Vigorous physical activity was significantly lower among those who had experienced a disaster compared to those who had not (unadjusted OR=0.89; 95% CI, 0.84-0.95; adjusted OR=0.84; 95% CI, 0.79-0.89). No significant difference in cigarette smoking was found. CONCLUSIONS: This study found an increase in weight gain and decrease in physical activity among older adults after disaster exposure. Adverse health behaviors such as these can contribute to functional decline among older adults.BellSA, ChoiH, LangaKM, IwashynaTJ. Health risk behaviors after disaster exposure among older adults. Prehosp Disaster Med. 2019;34(1):95-97.

Underreporting of Fall Injuries of Older Adults: Implications for Wellness Visit Fall Risk Screening.

OBJECTIVES: To compare the accuracy of and factors affecting the accuracy of self-reported fall-related injuries (SFRIs) with those of administratively obtained FRIs (AFRIs). DESIGN: Retrospective observational study SETTING: United States PARTICIPANTS: Fee-for-service Medicare beneficiaries aged 65 and older (N=47,215). MEASUREMENTS: We used 24-month self-report recall data from 2000-2012 Health and Retirement Study data to identify SFRIs and linked inpatient, outpatient, and ambulatory Medicare data to identify AFRIs. Sensitivity and specificity were assessed, with AFRIs defined using the University of California at Los Angeles/RAND algorithm as the criterion standard. Logistic regression models were used to identify sociodemographic and health predictors of sensitivity. RESULTS: Overall sensitivity and specificity were 28% and 92%. Sensitivity was greater for the oldest adults (38%), women (34%), those with more functional limitations (47%), and those with a prior fall (38%). In adjusted results, several participant factors (being female, being white, poor functional status, depression, prior falls) were modestly associated with better sensitivity and specificity. Injury severity (requiring hospital care) most substantively improved SFRI sensitivity (73%). CONCLUSION: An overwhelming 72% of individuals who received Medicare-reimbursed health care for FRIs failed to report a fall injury when asked. Future efforts to address underreporting in primary care of nonwhite and healthier older adults are critical to improve preventive efforts. Redesigned questions-for example, that address stigma of attributing injury to falling-may improve sensitivity.

Neuroimaging overuse is more common in Medicare compared with the VA.

OBJECTIVE: To inform initiatives to reduce overuse, we compared neuroimaging appropriateness in a large Medicare cohort with a Department of Veterans Affairs (VA) cohort. METHODS: Separate retrospective cohorts were established in Medicare and in VA for headache and neuropathy from 2004 to 2011. The Medicare cohorts included all patients enrolled in the Health and Retirement Study (HRS) with linked Medicare claims (HRS-Medicare; n = 1,244 for headache and 998 for neuropathy). The VA cohorts included all patients receiving services in the VA (n = 93,755 for headache and 183,642 for neuropathy). Inclusion criteria were age over 65 years and an outpatient visit for incident neuropathy or a primary headache. Neuroimaging use was measured with Current Procedural Terminology codes and potential overuse was defined using published criteria for use with administrative data. Increasingly specific appropriateness criteria excluded nontarget conditions for which neuroimaging may be appropriate. RESULTS: For both peripheral neuropathy and headache, potentially inappropriate imaging was more common in HRS-Medicare compared with the VA. Forty-nine percentage of all headache patients received neuroimaging in HRS-Medicare compared with 22.1% in the VA (p < 0.001) and differences persist when analyzing more specific definitions of overuse. A total of 23.7% of all HRS-Medicare incident neuropathy patients received neuroimaging compared with 9.0% in the VA (p < 0.001), and the difference persisted after excluding nontarget conditions. CONCLUSIONS: Overuse of neuroimaging is likely less common in the VA than in a Medicare population. Better understanding the reasons for the more selective use of neuroimaging in the VA could help inform future initiatives to reduce overuse of diagnostic testing.