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Biomedical subjects

W M Stanish

Publications and source records attributed to W M Stanish.

9 recordsLinked to original sources

Risk factors and the prevalence of depression in Mormon women.

A cross-sectional study was conducted in the Utah metropolitan area in which a random sample of white, married women with children 14 years of age or younger were interviewed by telephone. Information was obtained on possible risk factors for depression and depression was measured using the Beck Depression Inventory (BDI). Prevalence of depression was compared in Mormon women (N = 143) who have a high percentage of career homemakers and non-Mormon (N = 36) who have a high percentage of women working outside the home. No difference in prevalence of depression was noted. Risk factors for depression in Mormon women were also studied. After adjusting for confounding, the risk factors were: Less education, little perceived caring from spouse, perception of having less than good health and having a low income. These findings are compared to other studies.

Christianity↗

Predictors of survival in subjects with chronic airflow limitation.

In a study of chronic airflow limitation, we followed 140 subjects living in Utah at altitudes of 1,300 to 1,500 meters for seven to 13 years. Twelve-year survival probabilities were determined and compared with an age- and sex-matched Utah population. The lowest 12-year survival probability was 0.40 for those patients with a forced expiratory volume in one second/forced vital capacity (FEV1/FVC) of less than or equal to 0.40, indicating that there is much variability in survival. Other indicators of a lower survival probability (and increased death risk ratio) were an FEV1 percent predicted less than or equal to 50, an FEV1 less than or equal to 1.5 liters, male gender, partial pressure of oxygen (PO2) [exercise] less than or equal to 50 mm Hg, partial pressure of carbon dioxide (PCO2) [rest] greater than 39 mm Hg, PCO2 (exercise) greater than 39 mm Hg, FVC percent predicted less than or equal to 80, PO2 (rest) less than or equal to 55 mm Hg, and a carbon monoxide diffusing capacity (DLCO) percent predicted less than or equal to 80. Current smokers had a poorer survival probability than the reference population and an increased death risk when compared with the nonsmokers in the study. Pack/years of smoking also affected survival. Other variables associated with reduced survival were a diagnosis of chronic bronchitis combined with emphysema, more rapid annual declines in the FEV1 and/or FVC, low alpha 1-antitrypsin levels, a 20 percent improvement in FEV1 following the use of a bronchodilator aerosol, and a lower socioeconomic class. Differences between these findings and those noted in other studies are in the main due to differences in the characteristics (such as age, diagnosis, and extent of disease) of the patients in the study populations. The findings have relevance in estimating a patient's prognosis and for developing guidelines for disability determination purposes.

Adult↗

Smoking and carcinoma in situ of the uterine cervix.

We carried out a case-control study of 217 cases of in situ carcinoma of the uterine cervix and 243 controls chosen from the general population of Utah. We found a relative risk of 3.0 for cigarette smoking after controlling for sexual and socioeconomic risk factors. The smoking association was strongest in the youngest age group (ages 20-29), reaching seventeenfold, and was weaker in the older age groups. These data suggest that cigarette smoking may be an independent risk factor for cancer of the uterine cervix, after considering sexual behavior and other well-established risk factors.

Adult↗

Familial prostatic cancer risk and low testosterone.

We investigated whether familial factors influence 1) the incidence of prostatic cancer and 2) the plasma content of sex steroids. A 4-fold higher relative risk for the development of prostatic cancer was observed for brothers (n = 257) of prostatic cancer cases (n = 150) compared to their brothers-in-law (n = 202) and males in the general population of the state Utah. The intraclass correlation for plasma testosterone content [intraclass correlation coefficient (r1) = 0.51; P less than 0.01] and the apparent free testosterone concentration (r1 = 0.54; P less than 0.01) were highly significant in nonendocrinologically treated cases and their brothers. Further, sons and their fathers had significant intraclass correlations for both plasma dihydrotesterone (r1 = 0.83; P less than 0.01) and the ratio of testosterone to dihydrotestosterone (r1 = 0.46; P less than 0.05). Probands and their brothers, and sons of the patients with the disease had significantly lower plasma testosterone levels than controls of comparable age. This is the first documentation indicating that familial (possibly genetic) factors are potent risk factors for predisposing men to the development of prostatic cancer and in regulating the plasma content of androgens. Our results indicate that plasma androgen levels in families with prostatic cancer are clustered in the lower range of the normal population. They also suggest that plasma androgen content is more similar within each family with the cancer than among the families without cancer.

Dihydrotestosterone↗

Familial effects on plasma sex-steroid content in man: testosterone, estradiol and Sex-hormone-binding globulin.

We investigated whether familial factors influence the plasma content of sex-steroids and sex-hormone-binding globulin (SHBG) in 98 adult males of 66 families. They had no apparent endocrine dysfunction, The 0800-1100 hr plasma levels of testosterone, 5 alpha-dihydrotestosterone (DHT), estradiol-17 beta (E2) and estrone (E1) were measured by radioimmunoassay. The free fractions of E2 and testosterone were determined by equilibrium dialysis, and binding capacity of SHBG was also calculated. The data were analyzed by analysis of variance. We observed that the differences in the plasma content of testosterone (p = .02). SHBG binding capacity (p = 0.1), and E2 (p = 0.3), free E2 index (p = .05) were all substantially less variable within groups of brothers than among non-brothers. The variability of the plasma concentration of DHT, free testosterone and E1 was not significantly less within brothers than among non-brothers. The correlation between either plasma testosterone content (r = .14) or SHBG binding capacity (r = .12) and percent of ideal body weight was not significant statistically. Age had no effect on the results. Our data suggest that genetic and/or environmental factors may affect the plasma content of testosterone, E2 and SHBG binding capacity.

Adult↗

A computer program for multivariate ratio analysis (MISCAT).

Analysts must deal frequently with missing data in multivariate analysis. In such cases, estimating the covariance maxtrix V of the dependent variables usually involves initial estimation and iterative adjustment of imputed missing data values, and/or smoothing of an estimate V which is not necessarily positive semi-definite. This paper presents an alternative procedure for computing estimates of relevant multivariate parameters in situations where missing data occur at random and with small probability. MISCAT is a computer program which computes multivariate ratio estimates of the means and a corresponding positive semi-definite estimate of the covariance matrix. It is an extension of GENCAT, which is a program for the generalizaed least squares analysis of categorical data. Thus, one advantage of dealing with missing data in this manner is that variation among the ratio estimates may be conveniently analyzed within MISCAT using asymptotic regression methodology, provided that sample sizes are sufficiently large. An example is given to illustrate such analysis for longitudinal data from a multicenter clinical trial.

Computers↗

A computer program for the generalized chi-square analysis of competing risks grouped survival data (CRISCAT).

CRISCAT is a computer program for the analysis of grouped survival data with competing risks via weighted least squares methods. Competing risks adjustments are obtained from general matrix operations using many of the strategies employed in a previously developed program (GENCAT) for multivariate categorical data. CRISCAT computes survival rates at several time points for multiple causes of failure, where each rate is adjusted for other causes in the sense that failure due to thes other causes has been eliminated as a risk. The program can generate functions of the adjusted survival rates, to which asymptotic regression models may be fit. CRISCAT yields test statistics for hypotheses involving either these functions or estimated model parameters. Thus, this computational algorithm links competing risks theory to linear models methods for contingency table analysis and provides a unified approach to estimation and hypothesis testing of functions involving competing risks adjusted rates.

Actuarial Analysis↗

An application of multivariate ratio methods for the analysis of a longitudinal clinical trial with missing data.

This paper presents an analysis of a longitudinal multi-center clinical trial with missing data. It illustrates the application, the appropriateness, and the limitations of a straightforward ratio estimation procedure for dealing with multivariate situations in which missing data occur at random and with small probability. The parameter estimates are computed via matrix operators such as those used for the generalized least squares analysis of catetorical data. Thus, the estimates may be conveniently analyzed by asymptotic regression methods within the same computer program which computes the estimates, provided that the sample size is sufficiently computer program which computes the estimates, provided that the sample size is sufficiently large.

Clinical Trials as Topic↗

A computer program for the generalized chi-square analysis of categorical data using weighted least squares (GENCAT).

GENCAT is a computer program which implements an extremely general methodology for the analysis of multivariate categorical data. This approach essentially involves the construction of test statistics for hypotheses involving functions of the observed proportions which are directed at the relationships under investigation and the estimation of corresponding model parameters via weighted least squares computations. Any compounded function of the observed proportions which can be formulated as a sequence of the following transformations of the data vector--linear, logarithmic, exponential, or the addition of a vector of constants--can be analyzed within this general framework. This algorithm produces minimum modified chi-square statistics which are obtained by partitioning the sums of squares as in ANOVA. The input data can be either: (a) frequencies from a multidimentional contingency table; (b) a victor of functions with its estimated covariance matrix; and (c) raw data in the form of integer-valued variables associated with each subject. The input format is completely flexible for the data as well as for the matrices.

Biometry↗