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1.
J Gerontol B Psychol Sci Soc Sci ; 77(2): 261-271, 2022 02 03.
Article in English | MEDLINE | ID: mdl-33842969

ABSTRACT

OBJECTIVES: Understanding racial/ethnic disparities in late-life cognitive health is a public health imperative. We used baseline data from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) study to examine how age, education, gender, and clinical diagnosis, a proxy for brain health, are associated with cross-sectional measures of cognition in diverse racial/ethnic groups. METHODS: Comprehensive measures of cognition were obtained using the Spanish and English Neuropsychological Assessment Scales and the National Institutes of Health Toolbox Cognitive Health Battery in a sample of 1,695 KHANDLE participants (Asians 24%, Blacks 26%, Latinos 20%, Whites 29%). A 25% random subsample was clinically evaluated and diagnosed with normal cognition, mild cognitive impairment (MCI), or dementia. Cognitive test scores were regressed on core demographic variables and diagnosis in the combined sample and in multiple group analyses stratified by racial/ethnic group. RESULTS: Race/ethnicity and education were variably associated with test scores with strongest associations with tests of vocabulary and semantic memory. Older age was associated with poorer performance on all measures, and gender differences varied across cognitive tests. Clinical diagnosis of MCI or dementia was associated with average decrements in test scores that ranged from -0.41 to -0.84 SD, with largest differences on tests of executive function and episodic memory. With few exceptions, associations of demographic variables and clinical diagnosis did not differ across racial/ethnic groups. DISCUSSION: The robust associations of cognitive test results with clinical diagnosis independent of core demographic variables and race/ethnicity support the validity of cognitive tests as indicators for brain health in diverse older adults.


Subject(s)
Cognition , Cognitive Aging , Cognitive Dysfunction , Ethnicity , Executive Function , Aged , Cognitive Aging/physiology , Cognitive Aging/psychology , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/ethnology , Cross-Cultural Comparison , Cultural Diversity , Educational Status , Ethnicity/education , Ethnicity/psychology , Ethnicity/statistics & numerical data , Female , Healthy Aging/ethnology , Healthy Aging/psychology , Humans , Life Change Events , Male , Neuropsychological Tests/statistics & numerical data , United States/epidemiology
2.
Alzheimer Dis Assoc Disord ; 35(1): 23-29, 2021.
Article in English | MEDLINE | ID: mdl-33629977

ABSTRACT

BACKGROUND: The authors assessed the cross-sectional association of physical function measures with cognition in the Kaiser Healthy Aging and Diverse Life Experiences Cohort. METHODS: Analyses included 1369 participants (24% Asian, 26% Black, 18% Latino, 32% White). Grip strength was measured using a hand-held dynamometer (kilograms) and gait speed was measured over a 4-m walk (seconds/meter). The Spanish and English Neuropsychological Assessment Scales was used to evaluate cognitive domains of executive function, semantic memory, and verbal episodic memory. Physical function measures (per SD) were associated with cognitive test z-scores in linear regression models adjusted for demographic, behavioral, and clinical factors. Racial/ethnic differences were tested using interaction terms and stratification. RESULTS: Stronger grip was associated with better executive function [ß=0.10 (95% confidence interval, 0.05-0.15)], semantic memory [ß=0.13 (0.09-0.18)] and verbal episodic memory [ß=0.07 (0.02-0.13)] with no racial/ethnic differences. Faster gait was associated with better executive function [ß=0.29 (0.22-0.36)], semantic memory [ß=0.23 (0.16-0.30)], and verbal episodic memory [ß=0.20 (0.13-0.27)]; however, the association between gait speed and executive function varied by race/ethnicity with the strongest associations in Asians and Whites. CONCLUSION: Across race/ethnicity, grip strength and gait speed were associated with cognition with racial/ethnic differences in the association of gait speed and executive function.


Subject(s)
Cognition , Ethnicity/statistics & numerical data , Hand Strength/physiology , Healthy Aging , Physical Functional Performance , Walking Speed/physiology , Aged , Cohort Studies , Cross-Sectional Studies , Female , Humans , Male , Neuropsychological Tests/statistics & numerical data
3.
Breast Cancer Res Treat ; 123(2): 507-24, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20140494

ABSTRACT

Few studies have assessed quality of life (QOL) of women diagnosed with breast cancer within the first few weeks of their initial diagnosis. We describe QOL among 950 women recently diagnosed with invasive breast cancer. Starting in January 2006, we invited women aged > or =21 years who were diagnosed with first primary invasive breast cancer within Kaiser Permanente Northern California (KPNC) to enroll in the Pathways Study, a prospective study of breast cancer survivorship. QOL was measured using the Functional Assessment of Cancer Therapy-Breast Cancer (FACT-B), along with sociodemographic and social support information. Clinical characteristics were obtained from the KPNC cancer registry and electronic medical record. We used multivariable linear regression models to identify factors associated with QOL scores calculated from the FACT-B. The mean age +/- SD of the sample was 59.6 years (+/-11.9 years), and the mean time +/-SD from diagnosis until interview was 8.0 weeks (+/-3.2 weeks). Younger age at diagnosis was associated with lower scores in all QOL domains (P < 0.01), and later stage at diagnosis was associated with lower scores in all domains (P < 0.05) except for social well-being. Higher levels of social support were associated with higher QOL except for physical well-being (P < 0.05). These associations were stronger within 2 months of breast cancer diagnosis. Quality of life as influenced by a diagnosis of breast cancer is an important factor in cancer survivorship. Age, stage at diagnosis, and social support are key factors in this important variable.


Subject(s)
Breast Neoplasms/psychology , Quality of Life , Adaptation, Psychological , Age Factors , Aged , Breast Neoplasms/mortality , Breast Neoplasms/pathology , California , Female , Humans , Linear Models , Middle Aged , Neoplasm Invasiveness , Neoplasm Staging , Prognosis , Prospective Studies , Registries , Risk Assessment , Risk Factors , Social Support , Socioeconomic Factors , Surveys and Questionnaires , Survival Rate , Time Factors
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