OBJECTIVE: Our study objectives were (a) to investigate the heritability of age of menarche in twins, (b) to obtain the association between age of menarche and childhood factors, and reproductive events/behavior, (c) to examine whether or not having a male co-twin affects early/late menarche.
METHODOLOGY: A group of female-female identical (n = 108, 54 pairs), non-identical twins (n = 68, 34 pairs) and 17 females from opposite-sex twin sets were identified from twin registries of Malaysia and Iran. Genetic analysis was performed via two methods of Falconers' formula and maximum likelihood.
RESULTS: Heritability was found to be 66% using Falconers' formula and 15% using univariate twin analysis. Model analysis revealed that shared environmental factors have a major contribution in determining the age of menarche (82%) followed by non-shared environment (18%).
DISCUSSION: Result of this study is consistent with that of the literature. Timing of menarche could be under the influence of shared and non-shared environmental effects. Hirsutism was found to have a higher frequency among subjects with late menarche. There was no significant difference in age of menarche between females of opposite-sex twins and females of same-sex twins.
CONCLUSION: It is concluded that twin models provide a powerful means of examining the total genetic contribution to age of menarche. Longitudinal studies of twins may clarify the type of environmental effects that determine the age of menarche.
OBJECTIVE: The objective of this study was to determine the quality of life (QOL) scores among breast cancer patients at a Malaysian public hospital.
MATERIALS AND METHODS: This cross-sectional study of breast cancer patients was conducted between March to June 2013. QOL scores were determined using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and its breast cancer supplementary measure (QLQ-BR23). Both the QLQ-C30 and QLQ-BR23 assess items from functional and symptom scales. The QLQ-C30 in addition also measures the Global Health Status (GHS). Systematic random sampling was used to recruit patients.
RESULTS: 223 breast cancer patients were recruited with a response rate of 92.1%. The mean age of the patients was 52.4 years (95% CI = 51.0, 53.7, SD=10.3). Majority of respondents are Malays (60.5%), followed by Chinese (19.3%), Indians (18.4%), and others (1.8%). More than 50% of respondents are at stage III and stage IV of malignancy. The mean Global Health Status was 65.7 (SD = 21.4). From the QLQ-C30, the mean score in the functioning scale was highest for 'cognitive functioning' (84.1, SD=18.0), while the mean score in the symptom scale was highest for 'financial difficulties' (40.1, SD=31.6). From the QLQ-BR23, the mean score for functioning scale was highest for 'body image' (80.0, SD=24.6) while the mean score in the symptom scale was highest for 'upset by hair loss' (36.2, SD=29.4). Two significant predictors for Global Health Status were age and employment. The predictors explained 10.6% of the variation of global health status (R2=0.106).
CONCLUSIONS: Age and employment were found to be significant predictors for Global Health Status (GHS). The Quality of Life among breast cancer patients reflected by the GHS improves as age and employment increases.
METHODS: For this descriptive-analytical study, we recruited the mothers of one-year-old children attending primary health centers in Gonbad-e-Kavoos city, Iran. The data was collected using a questionnaire comprising the World Health Organization Domestic Violence, Ages and Stages Questionnaire-12; and queries related to the participants' socio-economic, obstetrics, demographic, and anthropometric characteristics. The body mass index z (BMI z) scores of the children were divided into five categories based on the World Health Organization's classification: severely underweight (z < -3), underweight (-3 ≤ z < -2), normal (-2 ≤ z < 1), overweight (1 ≤ z ≤ 2), and obese (z > 2). The data were subjected to descriptive analysis, chi-square test, and regression.
RESULTS: A total of 596 of mother-child dyads were included in this study. The prevalence of psychological, physical, and sexual IPV was 29.5%, 7.4%, and 2.4%, respectively. Most children (91.7%) had normal weight while the rest were overweight or obese. Developmental problems were reported in 1.7% of children. The education level of the father was significantly related to IPV (p =0.001) while the type of his occupation was related to delay in child growth (p =0.020). There was no significant difference between BMI z-score and developmental disabilities in the children of women exposed and not exposed to any type of IPV.
CONCLUSIONS: The prevalence of psychological IPV was high while those of physical and sexual IPV were low. The rates of poor child growth and development were also low. The father's educational and socio-economic status influenced IPV and the children's growth deficits.