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Biomedical subjects

J R Nesselroade

Publications and source records attributed to J R Nesselroade.

At least 19 recordsLinked to original sources
PubMed1992

Importance of shared genes and shared environments for symptoms of depression in older adults.

The Center for Epidemiologic Studies-Depression scale was administered to 68 identical and 161 fraternal twin pairs reared apart and 114 identical and 138 fraternal pairs reared together to ascertain relative genetic and environmental contributions to individual differences in self-reported depressive symptoms. Intraclass correlations and model fitting indicated that genetic influences explained 16% of the variance in total depression scores and 19% for the Psychomotor Retardation and Somatic Complaints subscale, but heritability was minimal for the Depressed Mood and Well-Being subscales. Influence of family rearing context played a substantial role in explaining twin similarity, whereas unique life experiences accounted for the greatest proportion of variance. Significant age group differences were observed, with heritability greater in twins of 60 years of age or older than in twins under 60, especially for Psychomotor Retardation.

Adoption↗
PubMed1992

The structure of variation in affect among depressed and nondepressed elders.

The intraindividual variability of self-ratings of 10 affects was studied in 69 older residents of a long-term care facility. Each person rated his or her affective state over 30 days. P-technique factor analysis was applied to each subject's ratings. In general, the expected two-factor structure showing one positive and one negative factor emerged from both traditional R-analysis and from "chain P-analysis" (all subjects' ratings pooled after standardizing within subjects). Because many subjects gave invariant ratings on one or more affect terms, only 28 P-analyses could be performed, of which 12 yielded one-factor solutions, 16 yielded two-factor solutions (10 the expected two factors), and 5 failed to converge. Possible reasons for the only partial intraindividual replication of the interindividual factors are discussed.

Affect↗
PubMed1992

Age differences in genetic and environmental influences for health from the Swedish Adoption/Twin Study of Aging.

This cross-sectional study explored the etiology of variability in self-reported health. The sample comprises adult twins participating in the Swedish Adoption/Twin Study of Aging and includes identical (MZ) and fraternal (DZ) twin pairs who have been reared together or reared apart. Two different components of overall health status are analyzed: an index of chronic health problems and self-rated health. Height and weight were included to assess the representativeness of the twin data. Individual differences increased across age for both measures of health, and there were significant age differences in the genetic and environmental etiologies of this variation. Genetic variance showed a twofold increase for chronic illness up until age 70. Environmental influences during adulthood appear important later in life. For self-rated health, genetic effects were important in the older age groups; however, the increase in total variation is predominantly due to unique environmental influences.

Adoption↗
PubMed1991

The Swedish Adoption Twin Study of Aging: an update.

The Swedish Adoption/Twin Study of Aging (SATSA) is a longitudinal program of research in gerontological genetics which is currently in its fifth year. The base population is comprised of 351 pairs of twins reared apart and 407 matched control pairs of twins reared together who responded to a questionnaire (Q1) in 1984. Two additional stages of SATSA have recently been completed: a longitudinal follow-up questionnaire mailed out in 1987 (Q2) and extensive in-person testing (IPT1) which included a health examination and cognitive battery. A second wave of IPT was started in January 1989. A summary of some of the major findings from Q1 and a description of IPT1 are reported.

Adoption↗
PubMed1991

Reporting structural equation modeling results in Psychology and Aging: some proposed guidelines.

Structural equation modeling (SEM) is now widely used in social and behavioral science research. SEM provides the possibility of fitting, and evaluating the fit, of well-specified, theoretical models to empirical data--more generally, of testing elaborated psychological theories. The options available to users of these approaches are many and varied. Popular SEM computational software packages, such as LISREL and EQS, provide a large amount of information, and there is some uncertainty as to what should be routinely reported. A series of guidelines are proposed for reporting SEM results in articles submitted to Psychology and Aging. The suggested guidelines ask authors using SEM methodology to provide important analysis information that will enable readers to evaluate the findings.

Aged↗
PubMed1991

Multi-modal selection effects in the study of adult development: a perspective on multivariate, replicated, single-subject, repeated measures designs.

Some of the selection issues that bear upon the conduct of research using multivariate, replicated, single-subject repeated measures designs are examined and their implications for the study of developmental phenomena discussed. The choices of participants, variables, occasions of measurement, etc., made in the conduct of empirical research all involve some kind of selection. These choices, therefore, introduce selection effects into collected data which, in turn, threaten the generalizability of one's conclusions. Data analyzed for single subjects, for example, are suspect regarding generalizability to other individuals. While the limits of generalizability to persons is a concern to be taken seriously, the concern properly applies to all modes of data classification. Discussions of the importance of person selection emphasize representative sampling (of persons) and generalization to populations of persons. Attention to the selection of variables has led to a focus on multivariate approaches to measurement. For the developmentalist, the occasions mode, which is either implicitly or explicitly involved in definitions of change, is especially relevant to concerns about generalizability. Whether one considers stability or change, the effects of temporal selection ought to be a central concern in designing research.

Human Development↗
PubMed1990

Genetic influence on life events during the last half of the life span.

Genetic influence on perceptions of major events later in life was assessed with a combination of twin and adoption designs as part of the Swedish Adoption/Twin Study of Aging (SATSA). The SATSA design includes 4 groups totaling 399 pairs of same-sex twins: identical and fraternal twins reared apart and matched twins reared together. The average age of the twins was 59 years. The results demonstrate significant genetic influence on reports of the occurrence of life events, especially for controllable events in which the individual can play an active role. Maximum likelihood model-fitting estimates of genetic influence indicate that 40% of the variance of the total life events score is due to genetic differences among individuals. How genetic factors can affect life experiences and directions for future research are discussed.

Humans↗
PubMed1990

Multivariate, replicated, single-subject, repeated measures designs and P-technique factor analysis: a review of intraindividual change studies.

The precise, quantitative portrayal of intraindividual change is a key goal of developmental researchers. Research designs particularly appropriate to selected aspects of this goal are multivariate, replicated, single-subject, repeated measures (MRSRM) designs. Data collected with these designs may be factor analyzed with P-technique factor analysis to elucidate, for each individual studied, patterns of systematic change. The nature of the factor patterns obtained for each individual can then be compared across individuals to determine the relative idiosyncrasy or generality of patterns of change. This paper extends an earlier review (Luborsky & Mintz, 1972) of studies using multivariate, single-subject, repeated measures designs and P-technique factor analysis. The emphasis here is on both more recent studies and the value of subject replication in creating a confluence of idiographic and nomothetic approaches to the study of behavior and behavioral development across the lifespan.

Factor Analysis, Statistical↗
PubMed1990

Genetic and environmental influences on social support: the Swedish Adoption/Twin Study of Aging.

A new direction in behavioral genetic research is the exploration of genetic influences on ostensibly environmental measures. The goal of the present study was to identify genetic as well as environmental influences that contribute to an individual's motivation and ability to create and maintain social support systems during the second half of the life course. One of the most powerful behavioral genetic designs is the combined twin/adoption design which is used in the Swedish Adoption/Twin Study of Aging (SATSA). A subsample of 424 pairs of twins age 50 and above was used: 64 pairs of identical twins reared apart, 95 pairs of identical twins reared together, 132 pairs of fraternal twins reared apart, and 133 pairs of fraternal twins reared together. The measure of social support assessed both the quantity of relationships as well as the perceived adequacy of the social support network. Model-fitting analyses verified the importance of genetic factors for perceived adequacy of the social support network, whereas little genetic influence was found for the quantity of social relationships.

Adoption↗
PubMed1990

Behavioral genetics and personality change.

Although research on personality and behavioral genetics has focused on the continuity of traits, both fields and their interface will profit from the consideration of trait change. In this article we review personality research on age differences in heritability and propose the counterintuitive hypothesis that, when developmental changes in heritability are found, heritability tends to increase. We also focus on behavioral genetic analyses of long-term developmental change. Research to date suggests that genetic involvement in adult personality change is slight whereas personality change in childhood is governed substantially be genetic factors. Finally, we consider a new topic, genetic influence on short-term change in personality.

Adolescent↗
PubMed1989

Individual differences in locus of control during the second half of the life span for identical and fraternal twins reared apart and reared together.

The relative influences of genetic and environmental factors for components of locus of control (LOC) were examined in the Swedish Adoption/Twin Study of Aging. The sample consisted of 84 pairs of monozygotic twins separated at an early age and reared apart, 173 pairs of dizygotic twins reared apart, 129 monozygotic pairs reared together, and 168 dizygotic pairs reared together. At the time of data collection, 72% were over 50 years of age. Three LOC components were measured in a mailed questionnaire: sense of personal control or lack of control over the direction of one's own life (Life Direction), beliefs about how responsible people are for misfortunes in their lives (Responsibility), and beliefs concerning the role of luck in determining people's outcomes (Luck). Model-fitting results indicated that genetic influences were of importance for Life Direction and Responsibility, accounting for somewhat over 30% of the variance in each component, while environmental influences explained twin similarity for Luck.

Adoption↗
PubMed1988

EAS temperaments during the last half of the life span: twins reared apart and twins reared together.

In this first behavioral genetic study of personality in the last half of the life span, results are reported using the powerful adoption/twin design that compares identical and fraternal twins reared apart and identical and fraternal twins reared together. Traits studied were the EAS temperaments (emotionality, activity level, and sociability), traits that show substantial genetic influence in childhood. It was hypothesized that the EAS traits would also show significant genetic influence later in life and that most of the environmental variation would be nonshared--that is, twins reared together would show no greater resemblance for the EAS traits than twins reared apart. Both hypotheses are supported.

Adoption↗
PubMed1987

Beyond autoregressive models: some implications of the trait-state distinction for the structural modeling of developmental change.

The use of structural modeling techniques to fit change concepts, including developmental ones, to repeated-measurements data has been rather firmly but uncritically wedded to autoregressive model specifications. The uncritical application of an autoregressive specification to repeated measures does not take into account subtleties of conceptions of stability and change (e.g., the trait-state distinction) that are now recognized in the behavioral research literature. We review the basic distinction between trait and state and examine the implications of the different possibilities for modeling developmental phenomena. The arguments are illustrated with empirical examples.

Anxiety↗
PubMed1985

Treatment characteristics of psychiatric programs that correlate with patient community adjustment.

This large Veterans Administration cooperative study sought to identify the ward milieu characteristics of effective psychiatric programs. It was developed as a multivariable, correlational study that involved systematic observations of program characteristics and outcome effectiveness of wards as they operated in their usual manner. Seventy-nine wards in 18 hospitals provided 11,283 patients eligible for follow-up. Eleven treatment characteristics were found to be correlated to patients' community adjustment 3 months after discharge. These characteristics were classified into five general categories: Patient-staff interaction, patient activities, medication practices, ward physical environment, and nursing staff rotation. The major conclusions are: wards do differ in their effectiveness as measured by ratings of patient posthospital adjustment; and treatment characteristics make a difference in program effectiveness as measured by patients' posthospital adjustment.

Aggression↗