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Results for “Multiple Classification Analysis”

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At least 109 records · Page 6Linked to original sources
PubMed1994

Religious affiliation and fertility in Liberia.

This study examines fertility differentials by religious affiliation in Liberia, within the context of two competing hypotheses: the characteristic and particularised theology. Using a subsample of currently married women from the 1986 Liberian Demographic and Health Survey, the study examines the fertility of five religious groups: Catholic, Protestant, Moslem, traditional, and other women. Overall, the findings are more consistent with the characteristic hypothesis, because the small fertility differentials by religious affiliation are largely accounted for by differences in the socioeconomic and demographic characteristics of these women.

Adolescent↗
PubMed1995

Demographic and sociocultural factors influencing contraceptive use in Uganda.

Bivariate and multivariate analyses of the influence of demographic and sociocultural factors on contraceptive knowledge, attitudes and practice among currently married respondents in Uganda show that: (1) contraceptive knowledge is widespread, even among women with no education; (ii) the majority of the respondents have favourable attitudes towards contraceptive use; (iii) the level of contraceptive use is low in comparison with knowledge and attitudes. Post-primary education, ethnicity, residence, the presence of the spouse in the household and discussion of family planning with spouse were strong predictors of knowledge and favourable attitudes towards contraception. Secondary or higher education, discussion of family planning with spouse and urban residence strongly influenced contraceptive use, but child mortality did not. The use of condoms as a behavioural change to avoid contracting HIV/AIDS was low. The results suggest that, particularly in rural areas, family planning services are not meeting the needs of potential clients.

Acquired Immunodeficiency Syndrome↗
PubMed1988

Self rated depression in relation to DSM-III classification: a statistical isolinear multiple components analysis.

The Zung Self-Rating Depression Scale (SDS) was presented to 99 depressed inpatients. The patients were categorized according to DSM-III as suffering from minor depression, major depression without melancholia and major depression with melancholia and/or with psychotic features. Differences in self-reported symptoms between these categories were studied with multivariate statistical techniques including linear discriminant analysis (LDA) and statistical isolinear multiple components analysis (SIMCA). Patients with minor depression rate themselves significantly less depressed than those with major depression. Patients with major depression without melancholia are less depressed than those with melancholia and/or psychotic features. The three DSM-III depressive categories can be regarded as belonging to a clinical continuum in which they form relevant levels with quantitative differences in self-reported symptoms. These differences are not only defined by gradual shiftings in the overall severity of illness, but also by quantitative differences in the severity of some target symptoms, i.e. agitation, retardation, diurnal variation, loss of libido, fatiguability, insomnia, anorexia, sadness and anhedonia.

Adjustment Disorders↗
PubMed2006

Classification of multiple sclerosis patients by latent class analysis of magnetic resonance imaging characteristics.

BACKGROUND: Disease heterogeneity is a major issue in multiple sclerosis (MS). Classification of MS patients is usually based on clinical characteristics. More recently, a pathological classification has been presented. While clinical subtypes differ by magnetic resonance imaging (MRI) signature on a group level, a classification of individual MS patients based purely on MRI characteristics has not been presented so far. OBJECTIVES: To investigate whether a restricted classification of MS patients can be made based on a combination of quantitative and qualitative MRI characteristics and to test whether the resulting subgroups are associated with clinical and laboratory characteristics. METHODS: MRI examinations of the brain and spinal cord of 50 patients were scored for 21 quantitative and qualitative characteristics. Using latent class analysis, subgroups were identified, for whom disease characteristics and laboratory measures were compared. RESULTS: Latent class analysis revealed two subgroups that mainly differed in the extent of lesion confluency and MRI correlates of neuronal loss in the brain. Demographics and disease characteristics were comparable except for cognitive deficits. No correlations with laboratory measures were found. CONCLUSIONS: Latent class analysis offers a feasible approach for classifying subgroups of MS patients based on the presence of MRI characteristics. The reproducibility, longitudinal evolution and further clinical or prognostic relevance of the observed classification will have to be explored in a larger and independent sample of patients.

Adult↗
PubMed1995

[Salivary calcium and total protein in relation to dental caries].

To evaluate the relationship between salivary components (calcium: Ca, total protein: T-Pro) and dental caries, we collected nonstimulated and expectorated saliva from 131 primary school children aged 11 years old. All salivary samples were taken in the morning (11:00-11:30 A.M.) on Feb. 17, 1994, while the subjects were at rest. The salivary Ca concentration (mg/dliter), total salivary protein concentration (mg/mliter) and salivary flow rate (mliter/min) were measured based on the salivary sample taken for each person for 30 minutes at most. For each subject the Ca secretion rate (micrograms/min), T-Pro secretion rate (micrograms/min) and Ca/T-Pro ratio were determined. The numbers of permanent teeth erupted, and decayed, missing and filled (DMF) teeth for each subject were obtained from dental records. For the entire group we observed that the numbers of DMF teeth were highly correlated with the numbers of permanent teeth erupted, hence for further analysis we restricted the subjects to 18 boys and 29 girls who were classified as dental age IIIC-IVA (according to Hellman's classification). Multiple linear regression analysis was employed using the number of DMF teeth as a dependent variable. When we included the variables for the Ca/T-Pro ratio, numbers of erupted permanent teeth, sex and salivary flow rate into the model as independent variables, there was a statistically significant association (P < 0.05) between the Ca/T-Pro ratio and the numbers of DMF teeth. However, in other models there was no significant association between the numbers of DMF teeth with Ca concentration, Ca flow rate, total protein concentration, or total protein flow rate.(ABSTRACT TRUNCATED AT 250 WORDS)

Calcium↗
PubMedDate not supplied

High resolution spatio-temporal EEG-MEG analysis of rolandic spikes.

Using high resolution EEG and MEG and a realistic volume conductor model, the authors investigated spatio-temporal aspects of the sources of spikes in children with benign rolandic epilepsy. A 64-channel EEG and simultaneous 151-channel MEG of interictal spike activity in five children all having general and/or focal seizures were recorded. A spatio-temporal multiple signal classification (MUSIC) analysis was performed on the spike data. Sources having a complex spatio-temporal configuration as well as single stationary sources were found. Results for the EEG and MEG were different. In this group of five patients, both high resolution EEG and MEG revealed that in some cases sources well separated in space and time exist, whereas in other cases only single source activity can be resolved. For multiple sources, differences for EEG and MEG in timing and localization of activity suggest that sources are spatio-temporally distributed. Sources can propagate from initial activity in the finger/hand area around the central sulcus down to the mouth/tongue area.

Algorithms↗
PubMed2006

Predicting respiratory syncytial virus hospitalisation in Australian children.

BACKGROUND: There is limited information on respiratory syncytial virus infections among Australians, particularly those of Indigenous descent. AIM: This study identifies groups of infants at risk of hospitalisation with respiratory syncytial virus-positive lower respiratory tract infection who may be targeted for prevention with palivizumab. METHODS: Case control study: the case notes of 271 children with cases of respiratory syncytial virus-positive lower respiratory tract infection admitted to The Townsville Hospital were studied for risk factors. Controls were chosen randomly from babies born in The Townsville Hospital during that period. Multiple logistic regression analysis and classification and regression tree analysis were used to identify risk factors. RESULTS: Multiple logistic regression analysis identified birthweight <2500 g, maternal parity and marital status to be independent predictors of hospitalisation with respiratory syncytial virus-positive lower respiratory tract infection. Classification and regression tree analysis identified babies born weighing <2500 g who possessed older siblings to be at highest risk. Single mothers and smoking were additional risk factors. Indigenous babies were significantly more likely to be exposed to all of the identified risk factors. CONCLUSION: Babies born weighing <2500 g (especially with siblings) could be targeted for prevention. All Indigenous babies should be considered at high risk because of their exposure to multiple risk factors.

Adult↗