Biomedical subjects

K Warner Schaie

Publications and source records attributed to K Warner Schaie.

8 recordsLinked to original sources

PubMed2006

Age group and health status effects on health behavior change.

The authors explored health behavior change during 5 years, considering age/cohort, health status, and gender effects. The authors divided the sample (n = 1,064) into 4 age/cohort groups: young adults (n = 139; 19-42 years), middle-aged adults (n = 386; 43-62 years), young-old adults (n = 296; 63-72 years), and old-old adults (n = 243; 73+ years) and health status: cardiovascular disease and physical disability. Smoking and seat belt behaviors remained stable, whereas alcohol, food consumption, food preparation, physical activity, dental, and medical behaviors showed change. Change in health behaviors differed by age/cohort group and health status for food consumption, food preparation, and medical care, primarily showing negative change for old-old adults and positive change for individuals with cardiovascular disease. Health behavior interventions need to focus on the old-old, individuals with physical disability, and on smoking and seat belt use. These specific populations and behaviors need to be targeted to promote positive health behavior change, to limit future onsets of disability and morbidity, and to prevent the occurrence of premature death.

Adult↗

PubMed2005

Extending neuropsychological assessments into the primary mental ability space.

A battery of 17 neuropsychological tests (including the CERAD battery) and 17 psychometric ability tests were administered to a sample of 499 participants of the Seattle Longitudinal study who had been given the psychometric ability tests seven and 14 years earlier. The neuropsychological tests were projected into a 5-factor psychometric ability space by means of extension analysis. The concurrent regressions of the neuropsychology tests on the psychometric ability tests were then used to estimate neuropsychology test scores from the psychometric ability tests administered in 1984, 1991 and 1998. Neuropsychologists then rated the study participants as either normal, suspect or cognitively impaired in 1998. Changes in estimated test scores were computed over seven and fourteen years. Significant odds ratios between normal and cognitively impaired groups were found for all neuropsychological tests over the proximal period and for most tests over the 14-year period. Similar findings occurred for the odds ratios between the normal and suspect groups for the most proximal 7-year changes.

Journal Article↗

PubMed2005

An Historical Framework for Cohort Differences in Intelligence.

This article reviews key issues regarding the controversy on the direction and magnitude of cohort differences in intelligence. Data from the Seattle Longitudinal Study (SLS) illustrate why differences must be studied across multiple cohorts and multiple chronological ages. Differential cohort patterns for multiple dimensions of intelligence are described. A conceptual framework is suggested for the identification of historical influences important for developmental study of cohort differences.

Journal Article↗

PubMed2005

What Can We Learn From Longitudinal Studies of Adult Development?

This article distinguishes between normal and pathological aging, provides an interdisciplinary context, and then considers a sample case of cognitive aging. Developmental influences on cognition include the physiological infrastructure, genetic predispositions, and environmental influences. Different types of longitudinal studies are distinguished, and contrasting findings of cross-sectional and longitudinal are examined in the sample case of the Seattle Longitudinal Study. Also considered is the longitudinal context for intervention studies and the role of longitudinal family studies in assessing rate of aging and generational differences in rates of aging. Finally, attention is given to the role of longitudinal studies in the early detection of risk for dementia in advanced age.

Journal Article↗

PubMed2004

The Seattle longitudinal study: relationship between personality and cognition.

This article reviews the history, measures and principal findings of the Seattle Longitudinal Study. This study began in 1956 focusing upon age differences and age changes in cognitive abilities. Its sampling frame is a large HMO in the Pacific Northwest. The study has been expanded to investigate various influences on cognitive aging including, cognitive styles, personality traits, life styles, and family environment. Current interest is also in the early detection of risk for dementia. In addition, this article reports original analyses of the relation of personality dimensions to cognitive abilities (both concurrent and longitudinal). While personality remains relatively stable over the adult life span, modest proportions of variance are shared between various personality traits and the cognitive abilities.

Journal Article↗

PubMed1998

Longitudinal invariance of adult psychometric ability factor structures across 7 years.

The hypothesis that psychometric ability tests retain equivalent factor structures across a 7-year interval was examined in a sample of 984 persons (disaggregated into 6 cohort groups: M ages at first test = 32, 46, 53, 60, 67, and 76), assessed in 1984 and 1991 as part of the Seattle Longitudinal Study. A best fitting measurement model was estimated for 20 psychometric tests marking the 6 primary abilities of Inductive Reasoning, Spatial Orientation, Perceptual Speed, Numeric Facility, Verbal Ability, and Verbal Recall. Gender was partialed out at the variable level by including a gender factor. Weak factorial invariance over time was demonstrated for all cohorts. Configural invariance could be demonstrated across all cohort groups. However, weak factorial invariance across groups could be accepted for all but the youngest and oldest groups. Latent means were modeled for the accepted solutions across time and cohort groups.

Adult↗

PubMed1981

Psychological changes from midlife to early old age: implications for the maintenance of mental health.

Changes from midlife to old age are described and conceptual models of adult development are discussed to debunk some commonly held stereotypes. Effects of biological change on behavior; age differences in learning, memory, and motivation; and age changes in intelligence and personality are considered, including implications for primary prevention, diagnosis, and social intervention.

Adaptation, Psychological↗

PubMedDate not supplied

Congruence of medication information from a brown bag data collection and pharmacy records: findings from the Seattle longitudinal study.

The validity of health information obtained through participants' reports of current medications (e.g., the brown bag method) is an important, but under-studied, area. In the current study, we examined the congruence of medication reports from a brown bag data collection with the pharmacy prescription records for 1430 participants (ages 23 to 97 years) of the seventh wave of the Seattle Longitudinal Study. Overall, the congruence of the brown bag data and pharmacy records was high. Congruence was better for younger participants, healthier participants, and for medications taken for serious conditions or on a regular basis. When the focus is on assessing participants' medications at a specific point in time (e.g., on the day of testing), brown bag data may provide more complete information than pharmacy records. Age and health status of the participants as well as the type of medications of interest should be considered when determining the validity of medication information reported by participants.

Adult↗