Changes in soft tissue composition are the primary predictors of 4-year bone mineral density changes in postmenopausal women.

UNLABELLED: Changes in body weight influence bone mineral density, but the role of body composition is not clear in postmenopausal women. Body weight and soft tissue composition predicted bone changes independent of calcium supplementation and exercise frequency, indicating that soft tissue composition should be measured in clinical trials. INTRODUCTION: The purpose of this study was to examine the relationship between changes in body weight and composition and changes in 4-year bone mineral density (BMD) after accounting for age, 4-year exercise frequency (EX), and 4-year calcium supplement intake (CA) in postmenopausal women with and without hormone therapy (HT). METHODS: Postmenopausal women (aged 40-65 years) either using HT (for 1-3.9 years) or not using HT (for > or =1 year) were recruited to the study. EX and CA was monitored throughout the study and 167 women completed 4 years. BMD and soft tissue composition measurements were made using dual-energy X-ray absorptiometry. Regression was used to predict 4-year BMD changes from EX, CA, age, baseline and 4-year changes in body weight and composition. HT users (n = 115, 55.3 +/- 4.3 years) and non-users (n = 52, 57.5 +/- 4.7 years) were analyzed separately. RESULTS: The models predicting regional BMD changes that included soft tissue composition changes explained the most variation compared with those with body weight or EX and CA alone. Larger amounts of variation in BMD changes were explained in the no HT group. CONCLUSION: Body composition changes are important positive predictors of BMD changes independent of EX and CA supplementation, but their contribution varies according to bone site and with HT use.

Burn wound itch control using H1 and H2 antagonists.

This study investigated the use of a combination of H1 and H2 antagonists and topical medications to control burn wound itch. Graeco-Latin square assignment provided an oral combination of 1) cetirizine and cimetidine or 2) diphenhydramine and placebo in four divided doses. The study protocol lasted 16 days divided into 4-day intervals, scoring itch before the initial dose of medication and at 1-hour, 6-hour, and 12-hour intervals after the first medication. A significant difference between mean itch scores across the four times was observed (Wilks' Lambda F = 26.52, df = 3, P <.0005). A three-way nested repeated measures interaction effect (Wilks' Lambda F = 9.85, df = 9, P <.0005) was observed representing a significantly different pattern on days 1 to 4 of the study compared with the remaining days. Controlling for the effect of topical medications, the cetirizine/cimetidine combination demonstrated a dramatic improvement at 1 and 6 hours, and a moderate improvement at 12 hours after initial medication for the day when compared with the diphenhydramine/placebo combination.

The factorial survey: an experimental method to replicate real world problems.

BACKGROUND: Vignettes are used by nurse researchers use to determine how clinical judgments about patient care situations are made. However, when vignettes are designed there is often a restriction on the number of characteristics studied, which oversimplifies the richness and complexity of real world healthcare situations. OBJECTIVES: The purpose of this article is to describe a factorial survey. Its multilevel design of independent variables allows for real world complexity in a way not tested by a sample set of four to six identical vignettes. Nurses' judgments about patients' confusion and the application of restraints are used to illustrate the method. METHOD: The factorial survey is an experimental design that can be developed in three steps: (a) identifying and using the variables, (b) writing a coherent vignette, and (c) randomly generating the vignettes. RESULTS: The unit of analysis is the vignette and Ordinary Least Squares (OLS) regression is used for analyses. In the example provided on confusion recognition and restraint use, patient characteristics accounted for the majority of explained variance in confusion recognition of (40%, R2 = 0.40) and restraint intervention for (43%, R2 = 0.43). The results for both models were strikingly similar as the same patient characteristics all were significant predictors for confusion recognition and restraint use. CONCLUSIONS: The versatility of the factorial survey lies in the researcher's ability to use it to test judgments in a variety of complex clinical simulations, to aid in concept development, and to identify consensus and disagreement among nurses. The multilevel design of the independent variables allows for real world complexity in a way not tested by a sample set of four to six identical vignettes.

Prehospital delay with myocardial infarction: the interactive effect of clinical symptoms and race.

This study examined prehospital delays and clinical symptoms of myocardial infarction (MI) in blacks and whites and the relationship between longer delays and types of clinical symptoms. The convenience sample included 128 patients, admitted consecutively, with acute MI. Data on types of clinical symptoms of MI and treatment-seeking behavior were collected on day 2 or 3 after admission, using face-to-face semistructured interviews. The total mean delay time differed significantly between blacks and whites (16 hours vs. 8.8 hours, p < .05). Although the frequency of chest pain was similar in both blacks and whites (78% vs. 77%), more than twice as many blacks as whites presented with symptoms of dyspnea (56% vs. 24%, p < .01) and fatigue (32% vs. 17%, p < .05). There was an interactive effect of race-ethnicity and types of symptoms on delay (p < .05) was present. Delay times for whites with chest pain were shorter than for whites without chest pain. Delay times for blacks with dyspnea were significantly shorter than for blacks without dyspnea, although delay times did not differ between whites with and without dyspnea.

Two prenatal alcohol use screening instruments compared with a physiologic measure.

OBJECTIVE: To compare two prenatal alcohol use screening instruments with a physiologic measure of prenatal alcohol use. DESIGN: Retrospective comparison of the Prenatal Alcohol Use Interview (PAUI) and the ACOG Antepartum Record with CDTect. SETTING: An inner-city, high-volume, prenatal clinic. PARTICIPANTS: Fifty-six women selected and enrolled at their first prenatal visits. MAIN OUTCOME MEASURE: An assessment of relative sensitivity and specificity of two prenatal alcohol use screening instruments. RESULTS: Women identified as Drinkers by the CDTect were more likely to be identified as Drinkers by the PAUI (59%) than by the ACOG Antepartum Record (19%). Also, the PAUI had a lower false negative rate (41%) than the ACOG record (80%). That is, the PAUI was less likely to identify as Quitters women the CDTect identified as Drinkers than was the ACOG record. CONCLUSION: The PAUI is a more sensitive screen than the ACOG record and should be the instrument preferred for screening prenatal alcohol use.

Alcohol use in women 65 years of age and older.

The purpose of this study was to examine the relationships between depression, codependency, self-coherence, and alcohol use and health outcomes in women 65 years of age and older. The framework is Erikson's ego-development theory. A convenience sample of 238 women was obtained from women attending flu shot clinics. This cross-sectional field study used survey methodology. Measures included the Beck Depression Inventory, Codependency Assessment Tool, Self-Coherence Survey Form C, Alcohol Use Disorders Identification Test, Alcohol Use Questionnaire, Self-Rated Health Tool, Quality of Life Visual Analogue Scale, Functional Ability Scale, Illness Prevention Screening Behaviors Checklist, and Sociodemographic Data. Results indicate a low consumption and little variation in use of alcohol. There were no significant associations between alcohol consumption and the dependent variables. Depression was significantly related to all the health outcomes; codependency was significantly related to all health outcomes except perceived quality of life; and self-coherence was significantly related to all health outcomes except illness prevention behavior. These findings have important implications for those providing care for older women.

Codependency in male and female helping professionals.

The purpose of this study is to determine and compare the prevalence of codependency in a group of 77 female and a group of 72 male helping professionals. Relatively low rates of codependency were observed in this sample, and the five-factor structure of the Codependency Assessment Tool (CODAT) was replicated. Males showed slightly higher codependency than females on the total CODAT and on the Hiding Self and Family of Origin Issues subscales. The CODAT was shown to be relevant to both males and females. Further research is needed to determine if a general population of male and female subjects would yield similar results.

Depression and codependency in women.

Seven million American women are depressed, and 40 million Americans, primarily women, have been labeled as codependent. This study aimed to identify the prevalence of codependency in women undergoing treatment for depression, examine the relationship between codependency and depression, and determine which of the symptoms of codependency are most highly predictive of depression scores. Depression and codependency were measured in a sample of 105 depressed women by using the Beck Depression Inventory and the Codependency Assessment Tool. Descriptive statistics, Pearson's Product Moment Correlation, and multiple regression were used for analysis. Of these depressed women, 36% were moderately to severely codependent. Depression and codependency were strongly related, with the significant gamma = .92 (P < .001). Of the codependency subscales, Low Self-Worth and Hiding Self correlate most strongly with depression; Other Focus/Self-Neglect added the least-independent--explanatory power. Thus, future research should be directed toward the relationship of codependency to power, alienation of self, and personality disorders.

Development and testing of the codependency assessment tool.

Codependency constitutes a significant health risk, particularly for women, because codependent women are often involved in abusive and potentially harmful relationships. Individuals who are identified as codependent can engage in therapy and gain knowledge and freedom from such relationships. However, there is no reliable and valid measure of codependency that is consistently used to identify these individuals. This article describes the development and testing of the Codependency Assessment Tool, a multivariate tool that conceptualizes codependency as a construct comprising five factors: (1) Other Focus/Self-Neglect, (2) Low Self-Worth, (3) Hiding Self, (4) Medical Problems, and (5) Family of Origin Issues. The instrument has excellent reliability and validity. Its test-retest reliabilities = .78 to .94; Cronbach's alpha = .78 to .91. Criterion validity was determined to be established by using known groups; construct validity was established by comparing the codependency dimensions with depression.

Psychometric analysis of the self-coherence survey.

Self-coherence, as measured by the Self-Coherence Survey, is an important determinant of psychosocial health in a variety of life circumstances. This report presents a psychometric analysis of the Self-Coherence Survey that resulted in three scales labelled Appraisal, Holism, and Introspection. The factorial structure, reliability, and validity of Self-Coherence was evaluated and replicated in two samples from the same community population (Phase I n = 433; Phase II n = 421). The three dimensions identified in the theoretical discussion of self-coherence published in this journal in 1993, were identified and replicated. Implications for further research and nursing practice are discussed.

Birthdate and mortality: an evaluation of the death-dip/death-rise.

The effect on mortality of socially significant events is examined using birth date as the criterion date for a large sample from official state mortality records for Ohio. The sample consisted of all deaths from natural causes for 1979-1981. "The findings show that there is a greater tendency for persons to die within thirty days after the date of birth than before. More specifically, there was a statistically significant pattern of increased mortality for those who were never married and for ill-defined causes of death. A theoretical foundation and a brief interpretation of these findings is offered."