• Korean Parent-Child Health Journal
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• v.11 no.1
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• pp.25-36
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• 2008

The purpose of this study was to investigate the level of obesity and sexual knowledge between age-matched 168 postmenarcheal and 168 premenatcheal girls among 6th grade elementary school girls in Busan. Anthropometric measurements were taken for height and body weight of subjects for obesity and a questionnaire for sexual knowledge representing 5 categories was developed by researcher. For the statistical analysis of the collected data, frequency, Chi-square, t-test, ANOVA, and Pearson correlation were performed by SPSS WIN Vesion 12.0 program. These measurements of menarcheal grils were significantly higher than those of non-menacheal girls in height, body weight, BMI and obesity level. The sexual knowledge was low, expecially they didn't know well about sexual disease and contraception. There was no significant difference between two groups, but there was significant difference among obesity level, obesity group had sexual knowledge than others. And there were significant positive relations between the menarche and the obesity. The most important findings in the study showed that is needed the systemic and concrete sexual education in home, school and community, and especially by the professionals in the sex education field.

• The korean journal of orthodontics
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• v.19 no.3
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• pp.99-111
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• 1989

To study the sexual maturity at puberty and interrelation between pubertal growth peak and sexual maturity, 68 malocclusions (female 44, male 24) were longitudinally studied for 4 years and cross-sectional samples of 210 malocclusions were studied together. The pubertal growth peak was determined by stature increment and sexual maturity was studied using developmental stages of pubic hair and breast, menarche in female and those of pubic hair in male. The following results were obtained. 1. Mean age at menarche was 12.8 years and it was 11.8 months later than PHV. 2. At pubertal growth peak, developmental stage 2 (54.2%) and 3 (29.2%) of pubic hair were most in male, and stage 1 (72.7%) and 2 (20.5%) were most in female. 3. At pubertal growth peak, the developmental stage 2 (50%) of breast was most and the stage 3 (43.2%) was next. 4. In interrelation between skeletal growth and sexual maturity, PHV had most high correlation with menarche and stage 3 of breast, and menarche had most high correlation with stage 3 of breast. 5. Appearance of remarkable sexual maturity suggested that the PHV was passed already.

• The korean journal of orthodontics
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• v.28 no.4 s.69
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• pp.581-589
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• 1998

In order to correct a maxillofacial-skeletal disharmony successfully and achieve a favorable facial profile, orthodontic treatment must begin at pubertal growth spurt. Therefore predicting the pubertal growth pattern and evaluating the growth potential is very important. For an orthodontist, estimating skeletal maturity in relation to one's personal growth spurt is essential and it must be considered into the treatment. The objective of this study was to find out whether there was a difference in menacheal age among different malocclusion groups and to evaluate the skeletal maturity at menarche. The subjects were 64 Class I malocclusion patients, 51 Class II patients and 38 Class III patients. Skeletal maturity was estimated from handwrist radiographs of these patients. Handwrist radiographs were taken between 3 months before and after the menarche. The results were as follows. 1. The mean chronologic age of menarche was $12.50{\pm}1.01$ years. 2. For the Class I malocclusion group the mean age of menarche was $12.36{\pm}1.04$ years, for Class II $12.81{\pm}1.03$ years and for Class III $12.32{\pm}0.82$ years. According to these results Class II malocclusion patients started mensturation later than Class I and Class III malocclusion patients. 3. No difference was found considering the skeletal maturity at menarche among the malocclusion groups. 4. The skeletal maturity index at menarche was SMI 7 for $45.10\%$, SMI 8 for $27.25\%$, SMI 9 for $10.46\%$, SMI 6 for $7.84\%$, SMI 10 for $7.84\%$ and SMI 5 for $1.31\%$ patients. 5. Statistically there was a significant correlation between skeletal maturity estimated by handwrist radiographs and menacheal age(p<0.05, r=0.25430).

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.4979-4981
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• 2012

Aim: Breast cancer is one of the most common cancers of women in India with high fatality rate. Over a 1 year study period 105 consecutive biopsy or fine needle aspiration cytology confirmed breast cancer patients were interviewed by direct questionnaire method regarding risk factors attending Surgery and Radiotherapy OPD of Medical College Kolkata, West Bengal while taking other 105 patients attending Surgery Department for some other disease as controls. The data were compiled in MS Excel 2007 and analyzed by Epi info 3.5.1 software. Among the cases, rural residence, illiteracy and low socio-economic status was significantly higher than controls. Late onset of menarche, late onset of menopause, ever OCP usage, breast feeding for 1-2 years and age of 1st childbirth between 20-30 years were found to be significant protective factors. People should be made aware regarding the modifiable risk factors to prevent breast cancer.

• The Korean Journal of Food And Nutrition
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• v.20 no.4
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• pp.450-459
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• 2007

This study was performed to assess the relationships between bone mineral density(BMD), anthropometric measurements, and maternal factors in postmenopausal women. The anthropometric measurements were taken by a trained practitioner, and the maternal factors of the 85 subjects in Chungnam were acquired by an interview questionaire. The BMDs of the lumbar $spines(L_2-L_4)$, femoral necks(FN), ward's triangles(WT), and trochanters(TR) were measured by dual energy X-ray absorptiometry(DEXA). The BMDs(T-score) for $L_2-L_4$, FN, and WT were 0.996 $g/cm^2$(-1.601), 0.697 $g/cm^2(-1.657)$, and 0.793 $g/cm^2(-1.512)$ respectively, which were assessed as osteopenia by the T-score ; TR was noma1 at 0.718 $g/cm^2(-0.675)$. The 85 subjects in Chungnam were divided into three groups according to their BMD measurements for $L_2-L_4$ and FN, assessed by the T-score. The percentages in the osteoporosis, osteopenia, and normal groups were 32.9%, 42.4, and 24.7%, respectively. The average age was significantly the highest in the osteoporosis group than in the other two osteopenia and normal group(p<0.001). The subjects' BMDs were positively correlated with weight, height, BMI, waist, WHR, OBR and hip circumference, and negatively correlated with the age, duration time after menopause, lactation, the age of last delivery, menarche age, and number of children. The average age at menopause was 48.8. The osteoporosis group's average age at menopause was lower than those of the other groups. However, the BMD of the lumbar spine positively correlated with duration time after menopause and the BMD of the femoral neck with lactation, last delivery, menarch age, number of children. Therefore, researches are needed to find out the effective way to minimize the effect of age and other physiological conditions on the decrease of bone mass density.

• Clinical and Experimental Pediatrics
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• v.48 no.1
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• pp.21-26
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• 2005

Purpose : The aim of this study is to find the prevalence of obesity, the serum lipid levels and the age at menarche in adolescent female athletes and to examine the effects of exercise in adolescent stage. Methods : With a questionnaire regarding their age at menarche, physical measurement, body fat, and blood samples of the serum lipid levels to evaluate the hyperlipidemia were obtained from adolescent female athletes(n=107) and general adolescent students(n=650) who didn't exercise at regular intervals, aged 12 to 18 years. Results : The mean weight in the athletes' group was $53.3{\pm}7.3kg$ which was similar with $54.3{\pm}8.0kg$ in the control group. The mean height in the athletes' group was $161.4{\pm}5.4cm$, which was taller than $158.9{\pm}5.3cm$ in the control group. The prevalence of obesity by obesity index, body fat, and BMI in the athletes' group were significantly lower than in control group. There was no significant difference in age at menarche between two groups($12.6{\pm}1.3$, $12.9{\pm}1.2$). The levels of cholesterol, LDL cholesterol, and HDL cholesterol in the athletes' group were higher than in the control group. The levels of triglyceride in the athletes' group was lower than in control group. Conclusion : These data suggest the importance of exercise in adolescents for the prevention of obesity since it may reduce body fat and increase the height. There was no negative effect of exercise on the age at menarche. We think that more controlled assessment of nutrition, diet habit, hormonal effect and height are warranted to find the correlation with hyperlipidemia and exercise at the adolescent stage.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5489-5495
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• 2012

Cervical cancer is a serious public health problem in Thailand. We investigated possible risk factors for cervical cancer including HPV infection, p53 polymorphism, smoking and reproductive history among women in Northeast Thailand using a case control study with 177 cases and age-matched controls. Among the HPV carriers, a significantly increased risk for cervical cancer with an OR of 36.97(p<0.001) and an adjusted OR of 38.07(p<0.001) were observed. Early age at first sexual exposure, and multiple sexual partners increased the risk of cervical cancer with ORs ranging between 1.73-2.78(p<0.05). The interval between menarche and first sexual intercourse <6 years resulted in a significant increase in the risk for cervical cancer with ORs ranging between 3.32-4.09 and the respective adjusted OR range for the 4-5 and 2-3 year-old groups were 4.09 and 2.92. A higher risk was observed among subjects whose partner had smoking habits, whether currently or formerly; with respective ORs of 3.36(P<0.001) and 2.17(p<0.05); and respective adjusted ORs of 2.90(p<0.05) and 3.55(p<0.05). Other smoking characteristics of the partners including smoking duration ${\geq}20$ years, number of cigarettes smokes ${\geq}20$ pack-years and exposure time of the subject to passive smoking ${\geq}5$ hrs per day were found to be statistically significant risks for cervical cancer with adjusted ORs of 3.75, 4.04 and 11.8, respectively. Our data suggest that the risk of cervical cancer in Thai women is substantially associated with smoking characteristics of the partner(s), the interval between menarche and first sexual intercourse as well as some other aspects of sexual behavior.

• Journal of Nutrition and Health
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• v.36 no.2
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• pp.167-174
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• 2003

This study investigated associations between nutrient intake, lumbar bone mineral density (BMD) , and bone mineral content (BMC) among 33 ovariectomized women (mean age =47.2 y) . Forty-five premenopausal women participated as a control group. The BMD and BMC of the lumbar spine (L$_2$-L$_4$) were measured by dual energy x-ray absorptiometry. Nutrient intake was estimated by the convenient method and a quantitative food frequency questionnaire was designed for this study that included the most commonly consumed foods sources of calcium. Participants were asked to identify all daily physical activities, and the number of hours per activity. The participants were also grouped by calcium intake. The total calcium intake of all participants was estimated by dietary calcium intake and then the subjects were divided into quartiles to assess the lumbar BMD and BMC of the highest quartile and the lowest quartile of calcium intake. The ovariectomized women consumed 602 mg/d of calcium which is 86% of RDA. There were significant differences in lumbar BMD and BMC between control and ovariectomized group. Within ovariectomized group the highest quartile calcium intake group had significantly greater lumbar bone mineral density and bone mineral content than the lowest quartile calcium intake group. Correlation analysis revealed that the ALP was positively associated with calcium index in control women, while ALP was positively associated with energy intake in ovariectomized women. And body weight was positively correlated with the spinal BMD and BMC in all women. The spinal BMD was negatively associated with menarche age, number of child, and the age of last child delivery, and age in control women. However, neither menarche age nor the age of last child delivery were associated with both spinal BMD in ovariectomized women. These results confirmed that ovariectomized and low calcium intake is associated with poor bone mineral density. Energy and calcium intake and adequate body weight should be recommended in ovariectomized women to prevent osteoporosis.

• Korean Journal of Community Nutrition
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• v.9 no.5
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• pp.644-653
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• 2004

This study was conducted to detennine the dietary and lifestyle factors related to bone the mineral density (BMD) of postmenopausal women with decreased BMD. The subjects (N =163) were recruited from women who visited a orthopedic clinic for BMD check up. A trained dietition interviewed subjects individually to obtain data about dietary behavior, consumption frequency of foods known as main dietary source of calcium and potassium, and clinical symptoms. The risk factors were identified by correlation and multiple regression analysis of variables. The mean age of the subjects was 66.8 yews. Most of them showed low levels of education and monthly income. The mean age of menarche and menopause were 17.2 and 48 year, respectively. The mean menopause duration was 18.7 year. Most of the consumption of calcium was centered to vegetable foods. Education level were positively correlated (r =0.272, P < 0.05) with BMD whereas age, menarch age, menopause duration, number of children were negatively correlated (r=-0.355, r=-0.240, r=-0.283, r=-0.193, respectively, p < 0.05) with BMD. The consumption of soybean, radish were positively correlated (r=0.187, r=0.158, respectively, p < 0.05) with BMD. Potassium intake with rice showed significantly negative correlation with BMD (r =-0.189, P < 0.05), but calcium intake with brown seaweeds, bean sprouts were positively correlated (r =0.247, r =0.254 respectively, p < 0.05) with BMD. Protein intake with roasted pork was also positively correlated (r =0.216, P < 0.05) with BMD. Multiple regression analysis showed that the most prominent negative predictor influencing the BMD was age. Minor negative factors influencing the BMI were age of menarche, potassium intake from rice. But the significantly positively factors influencing the BMD were consumption of radish and soybean intake, education, and protein intake with roasted pork. In conclusion brown seaweeds, radish or soybeans can be promoted as cheap foods replacing milk and milk products for menopausal women with low income.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5593-5596
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• 2014

Background: The objective of this study was to determine a diagnostic classification scheme using a decision tree based model. Materials and Methods: The study was conducted as a retrospective case-control study in Imam Khomeini hospital in Tehran during 2001 to 2009. Data, including demographic and clinical-pathological characteristics, were uniformly collected from 624 females, 312 of them were referred with positive diagnosis of breast cancer (cases) and 312 healthy women (controls). The decision tree was implemented to develop a diagnostic classification scheme using CART 6.0 Software. The AUC (area under curve), was measured as the overall performance of diagnostic classification of the decision tree. Results: Five variables as main risk factors of breast cancer and six subgroups as high risk were identified. The results indicated that increasing age, low age at menarche, single and divorced statues, irregular menarche pattern and family history of breast cancer are the important diagnostic factors in Iranian breast cancer patients. The sensitivity and specificity of the analysis were 66% and 86.9% respectively. The high AUC (0.82) also showed an excellent classification and diagnostic performance of the model. Conclusions: Decision tree based model appears to be suitable for identifying risk factors and high or low risk subgroups. It can also assists clinicians in making a decision, since it can identify underlying prognostic relationships and understanding the model is very explicit.