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Biomedical subjects

T D Wade

Publications and source records attributed to T D Wade.

10 recordsLinked to original sources

Twin studies of eating disorders: a review.

OBJECTIVE: Twin methodology has been used to delineate etiological factors in many medical disorders and behavioral traits including eating disorders. Although twin studies are powerful tools, their methodology can be arcane and their implications easily misinterpreted. METHOD: The goals of this study are to (a) review the theoretical rationale for twin studies; (b) provide a framework for their interpretation and evaluation; (c) review extant twin studies on eating disorders; and (d) explore the implications for understanding etiological issues in eating disorders. DISCUSSION: On the basis of this review, it is not possible to draw firm conclusions regarding the precise contribution of genetic and environmental factors to anorexia nervosa. Twin studies confirm that bulimia nervosa is familial and reveal significant contributions of additive genetic effects and of unique environmental factors in liability to bulimia nervosa. The magnitude of the contribution of shared environment is less clear, but in the studies with the greatest statistical power, it appears to be less prominent than additive genetic factors.

Anorexia Nervosa↗

The relation between risk factors for binge eating and bulimia nervosa: a population-based female twin study.

This study investigated the differential risk factors for the initiation of binge eating and the transition from binge eating to bulimia nervosa. Women from a population-based twin registry (850 complete pairs) were assessed with respect to specific measured variables (including demographics, religiosity, lifetime psychopathology, current symptomatology, and personality) and latent genetic and environmental variables. Because of the relative rarity of bulimia nervosa, statistical power was low, but findings suggested considerable overlap between the genetic risk factors for the development of binge eating and the genetic risk factors for the transition from binge eating to bulimia nervosa. Genetic risk factors for binge eating and bulimia nervosa may be largely similar, whereas nonshared environment may be important in influencing the risk for bulimia nervosa once binge eating is initiated.

Adult↗

The relationship between social support and major depression: cross-sectional, longitudinal, and genetic perspectives.

Although social support (SS) is associated with risk for major depression (MD), we are uncertain of the extent to which a) low SS increases risk for MD, b) MD lowers SS, or c) both variables reflect a common genetic liability. Using two waves of interview data on female twin pairs from a population-based registry, we examine the cross-sectional and longitudinal association of eight dimensions of perceived SS and MD. Risk for MD in the last year was inversely associated with supportive spouse and relative relationships, and directly associated with problems in these relationships (e.g., too many demands, criticism, tension, and disagreements). Significant cross-time associations were seen only for spousal variables. The history of MD in one twin significantly predicted low relative and spouse support, and relative and friend problems, in her co-twin (MZ > DZ pairs). The relationship between SS and MD in women is complex and due to at least the three separate mechanisms outlined above that operate to varying degrees in different dimensions of SS.

Adolescent↗

Anorexia nervosa and major depression: shared genetic and environmental risk factors.

OBJECTIVE: The authors sought to derive heritability estimates for anorexia nervosa and to explore the etiology of the comorbid relationship between anorexia nervosa and major depression. METHOD: They applied bivariate structural equation modeling to a broad definition of anorexia nervosa and lifetime major depression as assessed in a population-based sample of 2,163 female twins. RESULTS: Anorexia nervosa was estimated to have a heritability of 58% (95% confidence interval=33%-84%). The authors were unable to completely rule out a contribution of shared environment. The comorbidity between anorexia nervosa and major depression is likely due to genetic factors that influence the risk for both disorders. CONCLUSIONS: Although the study was limited by the small number of affected twins, the results suggest that genetic factors significantly influence the risk for anorexia nervosa and substantially contribute to the observed comorbidity between anorexia nervosa and major depression.

Adult↗

Reliability of lifetime history of bulimia nervosa. Comparison with major depression.

BACKGROUND: Previous studies have found that the reliability of the lifetime prevalence of bulimia nervosa is low to moderate. However, the reasons for poor reliability remain unknown. AIMS: We investigated the ability of a range of variables to predict reliability, sensitivity, and specificity of reporting of both bulimia nervosa and major depression. METHOD: Two interviews, approximately 5 years apart, were completed with 2163 women from the Virginia Twin Registry. RESULTS: After accounting for different base rates, bulimia nervosa was shown to be as reliably reported as major depression. Consistent with previous studies of major depression, improved reliability of bulimia nervosa reporting is associated with more severe bulimic symptomatology. CONCLUSIONS: Frequent binge eating and the presence of salient behavioural markers such as vomiting and laxative misuse are associated with more reliable reporting of bulimia nervosa. In the absence of the use of fuller forms of assessment, brief interviews should utilise more than one prompt question, thus increasing the probability that memory of past disorders will be more successfully activated and accessed.

Adolescent↗

Computer-generated time lines for visualizing and editing epidemiological and biomedical data.

Most biomedical data have a temporal dimension. Time-line displays spatialize this dimension and help the viewer comprehend large sets of complex data. If we add ways for users to selectively expand the details of data visible on a time line, even more information can be organized and accessed. Design issues for this kind of display include: how to display time scales that are often wider than the physical display space; how to display events with brief duration; how to display data for two or more events that overlap in time; how to manage the display of data details; how to allow database editing from a time line; and how to facilitate time-based analytical techniques. We describe a time-line display system that addresses each of these issues, and show how it can be used to organize data for an epidemiological study of parental radiation exposure and childhood leukemia. We also suggest further refinements of the time line technique for other biomedical applications.

Child↗

Finding temporal patterns--a set-based approach.

We created an inference engine and query language for expressing temporal patterns in data. The patterns are represented by using temporally-ordered sets of data objects. Patterns are elaborated by reference to new objects inferred from original data, and by interlocking temporal and other relationships among sets of these objects. We found the tools well-suited to define scenarios of events that are evidence of inappropriate use of prescription drugs, using Medicaid administrative data that describe medical events. The tools' usefulness in research might be considerably more general.

Artificial Intelligence↗

Using smoothing splines to make inferences about the shape of gas-exchange curves.

Respiratory gas-exchange data from progressive exercise tests are typically interpreted by visual inspection. Attempts to objectify such interpretation have applied particular parametric models which limit the measures which can be studied and the inferences which can be made. We use a known spline-smoothing procedure which fits a continuous curve to such data, yielding confidence intervals for the curve and for its first and second derivatives. Rules can be made which use the derivatives to infer features of a curve's shape and to relate features from different curves in the same data set. In this way complex interpretations can be made objective, so that they may be adequately tested.

Algorithms↗

Time lines and computer-based visual editing: new techniques for assessing exposure in epidemiologic studies.

We describe a time-line-based methodology for collecting exposure data for epidemiologic studies and for processing these data for statistical analysis with readily available software for the personal computer. The four components to this approach are: (1) collecting data in a memory-enhancing time-line format; (2) entering data from time lines into a computer database and editing them; (3) making a quantitative estimate of exposure, intake, or dose for each exposure event; and (4) creating analysis datasets by 'slicing' the quantified time lines based on desired exposure intervals or disease latent periods. Compared with fixed-format interviews, time-line-based interviews help subjects organize remembered events, thereby reducing confusion. They do not restrict responses to predetermined categorical exposure responses. The time-line methodology also facilitates the collection of supplementary data necessary for computing doses for complex exposures and the packaging of quantified exposures into analysis datasets for any time period of interest.

Child↗