This study evaluated the impact of maternal marital status on birth outcomes among young Malaysian women and investigated other risk factors influencing the birth outcomes. Pregnant women with and without marital ties at the point of pregnancy diagnosis were invited to participate in this study. Participants were interviewed using a structured questionnaire at pregnancy diagnosis and shortly after childbirth. From a total of 229 unmarried and 213 married women who participated, marital status was significantly associated with preterm birth (odds ratio [OR], 1.66; 95% confidence interval [CI], 1.05-2.61) and low birth weight (OR, 3.61; 95% CI, 1.98-6.57). Other factors significantly associated with birth outcomes was prenatal care (OR, 4.92; 95% CI, 1.43-16.95), "use of drugs" (OR, 10.39; 95% CI, 1.14-94.76), age (OR, 1.12; 95% CI, 1.07-1.16), and number of prenatal visits (OR, 1.03; 95% CI, 1.00-1.07). Promoting access to prenatal care and social support programs for unmarried mothers may be important to reduce adverse pregnancy outcomes.
The main aim of this study is to determine the causes and the epidemiological aspects of sudden natural deaths. Data were collected from 545 sudden natural autopsies in UMMC, Kuala Lumpur over a five-year period, from 1st January 2000 to 31st December 2004. There were 475 males and 70 females. The largest number of sudden natural deaths was in the age group of 41-50 years. 35.8%, 30.5% and 11.7% of the patients were Chinese, Indian and Malay, respectively. A majority of the patients were married (59.8%) and came from the semiskilled-unskilled group (30.6%). The monthly distribution was almost constant. Cardiovascular diseases were the most important cause contributing 64.9% in sudden natural deaths.
Matched MeSH terms: Marital Status/statistics & numerical data
Most studies on predictors of vocational outcomes are cross-sectional and results are varied. This study aimed to examine the vocational rates of patients with first-episode psychosis (FEP), identify factors predicting a lack of engagement in age-appropriate roles, and evaluate the predictive ability of a model with baseline sociodemographic information and 2-year symptom and functioning trajectories on vocational outcomes. The Singapore Early Psychosis Intervention Program (EPIP) has maintained a standing database on patient clinico-demographic information. The primary outcome, vocational status, was operationalized as "meaningfully employed", that is, being gainfully employed or engaged in an age-appropriate role, and "unemployed". Using logistic regression, the predictive ability of the proposed model was evaluated. Vocational data was available for 1177 patients accepted into EPIP between 2001 and 2012. At the end of two years in the service, 829 (70.4%) patients were meaningfully employed and 348 (29.6%) patients were unemployed. The binary logistic regression model on the prediction of 2-year vocational outcomes yielded an AUC of 0.759 (SE = 0.016, p-value