Determination of osteoporosis risk factors using a multiple logistic regression model in postmenopausal Turkish women

To determine the risk factors of osteoporosis using a multiple binary logistic regression method and to assess the risk variables for osteoporosis, which is a major and growing health problem in many countries. We presented a case-control study, consisting of 126 postmenopausal healthy women as control group and 225 postmenopausal osteoporotic women as the case group. The study was carried out in the Department of Physical Medicine and Rehabilitation, Dicle University, Diyarbakir, Turkey between 1999-2002. The data from the 351 participants were collected using a standard questionnaire that contains 43 variables. A multiple logistic regression model was then used to evaluate the data and to find the best regression model. We classified 80.1% [281/351] of the participants using the regression model. Furthermore, the specificity value of the model was 67% [84/126] of the control group while the sensitivity value was 88% [197/225] of the case group. We found the distribution of residual values standardized for final model to be exponential using the Kolmogorow-Smirnow test [p=0.193]. The receiver operating characteristic curve was found successful to predict patients with risk for osteoporosis. This study suggests that low levels of dietary calcium intake, physical activity, education, and longer duration of menopause are independent predictors of the risk of low bone density in our population. Adequate dietary calcium intake in combination with maintaining a daily physical activity, increasing educational level, decreasing birth rate, and duration of breast-feeding may contribute to healthy bones and play a role in practical prevention of osteoporosis in Southeast Anatolia. In addition, the findings of the present study indicate that the use of multivariate statistical method as a multiple logistic regression in osteoporosis, which maybe influenced by many variables, is better than univariate statistical evaluation

Suicide Attempts and Risk Factors Among Children and Adolescents

The purpose of this study was to determine the prevalence of suicide attempts, and to identify the risk factors for suicide attempts in Turkish children and adolescents between the ages 10 and 20 years. Multi-step, stratified, cluster sampling was used. A stratified sample of 4256 students was selected as representative of the city's school children population. Data was obtained with a pair of structured questionnaires designed to evaluate the presence and risk factors of suicide attempts, both in the children and adolescents and their parents. These questionnaires investigated family environment, subject characteristics, and various risk factors for suicide attempts. Child Beck Depression Inventory (CBDI) was administered to all children and adolescents. After the data quality control process, the study sample was reduced to 4143 children and adolescents. Children and adolescents were divided two groups according to the experience or non-experience of suicide attempts: group 1 (n=80) and group 2 (n=4063), respectively. Three categories of independent variables were assessed: adolescent, family, and socioeconomic characteristics. Logistic regression models were based on the children and adolescents and on parent reports. The prevalence of suicide attempts as reported by the children and adolescents was 1.93% (n=80). The mean age of group 1 was higher than that of group 2 (p=0.002, t=-3.172), as was the mean score of CBDI (p=0.000, t=-9.083). Logistic regression analysis indicated that having problems with parents, using illicit drugs, and psychiatric problems in relatives best predicted suicide attempts in Turkish children and adolescents.

Apolipoprotein E Gene Polymorphism and Serum Lipids in Patients with Superficial Fungal Disease

Superficial mycosis, including dermatophytic infections, tinea versicolor, and cutaneous candidiasis is mostly limited to the outer layers of the skin, nails, and mucous membranes. In this study, Apolipoprotein E (ApoE) polymorphism and lipoprotein cholesterol concentrations were compared between 42 patients with superficial fungal disease and 27 control subjects. Both the patients and controls were found to be normolipemic. The patients with superficial fungal disease had significantly higher concentrations of high-density cholesterol (HDL) compared to the control group (p=0.0462). However, there was no difference in the serum triglyceride, low-density lipoprotein (LDL) and very low-density lipoprotein (VLDL) cholesterol concentrations. A significantly higher incidence of heterozygosity E2/3 was found in the patients (p=0.0228), and significantly lower incidence of homozygosity E3/3 in all patients, and those with candidiasis and dermatophytosis (p=0.0139, 0.0194 and 0.0337, respectively) compared to the control group. The E3/4 genotype differences between patients and controls were not statistically significant. There were slight differences in the allele frequencies between the two groups, but these did not reach statistically significant levels. It was concluded that the presence of apoE2/3 genotype, high HDL-cholesterol levels and the absence of apoE3/3 genotype can be regarded as risk factors for superficial fungal disease, especially dermatophytosis.