• Women's Health Nursing
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• v.13 no.4
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• pp.280-289
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• 2007

Purpose: The study was done to investigate Food and Nutrient Intakes of female college students and define differences between teen-age groups and women in their twenties. Method: The subjects of this study were 821 female college students. They were eighteen to twenty nine years old. Nutrient intakes were measured by the Moon, S. J. Scale (1980). Data was collected from June 13 to June, 27. Data was analyzed with the SPSS program by Chi-test, t-test and Pearson's correlation coefficients. Result: Female college students' mean intake of calories, protein, fat, and carbohydrates were $1560.7{\pm}367.71kcal,\;62.0{\pm}19.03g,\;33.1{\pm}9.85g,\;and\;253.7{\pm}57.52g$ respectively. Their mean intake of calcium, phosphorus and iron were $592.9{\pm}221.82mg,\;918.2{\pm}284.24mg\;and\;13.7{\pm}4.50mg$ respectively. Intake of calories, calcium, iron and vitamine B1 were below their Percent of Recommended Intake. Nutrient intakes showed a significant difference between age groups. Teen-age female college students had more nutrient intakes than the women in their twenties. In addition, there was a difference in food consumption behaviors between the teen-age group and the twenty-something group. Conclusion: The nutrient intake of female college students changed by age. Many teen-age female college students ate breakfast well, thus their intake of calories, protein, fat, carbohydrates, minerals such as calcium, phosporus and vitamins was significantly higher than the over twenty years old students. Teen-age female college students like fruits and sugars but over twenty years college students preferred coffee. This study can be useful in directing a dietary consumption status of women to improve nutritional health.

• Journal of Acupuncture Research
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• v.28 no.2
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• pp.155-164
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• 2011

Objectives : The purpose of this study was to show the corelation between age-related muscular mass and the change of exercise, muscle mass and muscular strength by comparison of muscle strength. Methods : 39 volunteers of all the patients who come to Dangjin health center between May and June in 2009 were classified as group A and group B according to age. Demographic data of these two groups have been done a comparative analysis, using the t-test procedure and linear regression analysis. Results : The results and summarized as follows. 1. Demographic data of these two groups have been done a comparative analysis, using the t-test procedure. As a result the average exercise and the average pulse have a statistically significant difference according to age. 2. Each of average fat, muscle and muscular strength in these two groups have been done a omparative analysis, using the t-test procedure. As a result there is no statistically significant according to age. 3. According to the result analyzed by using linear regression analysis, age have a negative effect on muscle but there is no statistically meaningful. Exercising have a positive effect on muscle and there is statistically significant. 4. Age and Protein diet have a negative effect on Grip strength but there is no statistically significant Conclusions : From this result, it can be assumed that the amount of exercise is decreasing with age, which leads to lose some muscle mass.

• Korean Journal of Health Education and Promotion
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• v.6 no.1
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• pp.75-90
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• 1989

This study tries to show the physical growth patterns and various adolescent characteristics by using longitudinal data for the height, weight, chest girth and sitting height of 1, 132 high school students in Seoul. And this study also tries to show what influencing factors on the physical growth of this aged population. The followings are the results. 1. The boys have their peak velocity of height when they are 12~13 years old. And the girls have when they are 10~11 years old. Peak velocity of weight for boys is at the age of 13~14. And for girls is at the age ofr11~12. Peak velocity of chest girth for boys is at the age of 12~13. And for girls is at the age of 11~12. Peak velocity of sitting height for boys is at the age of 13~14. And for girls is at the age of 11~13. So girls of this period grow more rapidly by around two years than boys. 2. The menarche of girls begins at the age of 12.4. So it begins 1.4 year before peak height velocity period. 3. Of life behavior boys contingency coefficient between essential time and height and weight is .5150 and .479 5, that between studying time and height and weight is .3344 and and .2912(In case of girls is .4735, .4321, .3247, .3134).

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.4
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• pp.79-91
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• 2011

This study divided school age by considering a change in the stage of body growth by age in elementary schoolgirls with the use of body scan data, and considered by comparing body size characteristics by school age. Elementary schoolgirls' body shape cannot be divided clearly. However, ages 7-10 were bound into the same group for the majority of girth, width, and thickness items. 7-8 years old, 9-10 years old, and 11-12 years old were bound into the same group in most items except ages 9 and 10 for the height item. Thus, significant difference was indicated between groups. Accordingly, this study divided the school age into three periods such as early stage(ages 7-8), middle stage(ages 9-10), and late stage(ages 11-12) in consideration of the stages for elementary schoolgirls' body-shape growth. As a result of analyzing body size according to division of school age, the higher school age leads to continuous growth. The notable growth was indicated especially in the middle stage and late stage. Examining centering on typical items related to the clothing construction, there was notable increase in waist thickness and hip thickness between early and middle stages and in height, weight, breast girth, waist circumference, back length, breast width, and waist width between middle and late stages. On the other hand, hip circumference, hip width, breast thickness, and length between shoulder edges were indicated to grow relatively and evenly among early, middle, and late stages. The lateral form was shown a clear difference in the forms of early, middle, and late stages in height and length of the whole body shape and in side thickness. The early and middle stages belong to body shape that abdomen is projected to be curved. The late stage showed right body shape which is straight and stable form in posture.

• Journal of Biomedical Engineering Research
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• v.28 no.4
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• pp.530-538
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• 2007

Magnetocardiography (MCG) is a device to measure the magnetic field from the heart. It is a noninvasive device and takes only few minutes to record magnetocardiogram from a subject. In this study, we compared the difference of MCG data recorded from 56 normal subjects in early twenties (28 males and 28 females, mean $age=21.0{\pm}1.6$ years) and 36 elderly subjects (20 males and 16 females, mean $age=61.9{\pm}6.9$ years) for the analysis of the age and gender difference. A total of 24 parameters used in the analysis were derived from QRS complex, R-wave, T-wave, and ST-T period. As a result, seven parameters including maximum current angle and map angle showed the significant difference (p<0.01 and p<0.05, respectively) between young males and young females. Significant difference (p<0.05) between elderly males and elderly females was found from a parameter, pole distance at T-wave peak. In the comparison of age difference, seven parameters regarding current moment, pole distance, and dynamics showed the significant difference between young and elderly males. Eight parameters also showed significant difference (p<0.05) between two younger and elderly female groups. Results showed that parameters regarding current moment, pole distance, and dynamics might be changed when people get older. In conclusion, gender and age difference should be considered when MCG data are analyzed for certain parameters.

• Women's Health Nursing
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• v.5 no.2
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• pp.162-175
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• 1999

The study was intended to investigate and explore the preimenstrual symptoms, their severity levels, their patterns and the relationships of the age to those symptoms and patterns among Korean women. The data were collected from 844 women in one highschool, one Nursing college and one Korea National Open University in Seoul, from Nov, 1997 to Jun. 1998. The instruments were the Menstrual Symptoms Questionnaire developed by Chesney and the Center for Epidemiologic studies Depression scale developed by Radloff. the data were analyzed by descriptive statistics, ANOVA, Duncan's multiple comparison test, $X^2$-test, simple regression analysis and logistic regression analysis using pc-SAS program. The results were as follows ; 1. Korean women had more symptoms of abdominal bloating, fatigue, abdominal discomfort and backache in perimenstrual period. There Teenages had more symptoms of depression and uterine cramps in the day before or the first day of menstruation. Women in their twenties had more symptoms of abdominal pain or abdominal discomfort, backache, abdominal bloating and the sensitiveness /discomforts in the lower back, abdomen and inner part of thighs. women in their thirties had more symptoms of abdominal bloating, fatigue, tension and nervousness before the menstruation, abdominal discomfort and backpain in the first day of menstruation. Women in their forties had more symptoms of backache, breast discomforts, abdominal pain and discomforts. 2. The severity levels of the perimenstrual symptoms showed the highest score(mean=2.73) in twenties and the lowest score)mean=1.96) in forties The perimenstrual symptom patterns were prevailed the spasmodic menstrual symptoms in teenage and twenties and the congestive menstrual symptoms in thirties and forties. The age was a determinant of perimenstrual symptom patterns and the precipitative equation was log[p(age)/(1-p(age)]=2.7356-0.0982 age. 3. The relationship of the age to perimenstrual symptoms was vanished or lessened, controlling for parity as a test factor. this finding supports the notion that parity is an extraneous variable.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.385-390
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• 2014

Background: Lung cancer is the most frequent malignancy of men worldwide. In Ninawa in Iraq, lung cancer ranks first among cancers diagnosed in men. Since no prior studies have been conducted on incidence trends in our population the present investigation of rates during 2000-2010 was therefore performed. Materials and Methods: Registy data for lung cancer cases were collected from the Directorate of Health in Ninawa-Mosul Continuing Medical Education Center. We restricted our analyses to men categorized according to the age groups of 0- 39, 40-49, 50-59, 60-69 and 70+ years. The significance of incidence rate trends during 2000-2010 was tested using Poisson regression. Age-standardized rates (ASR), and age-specific rates per 100,000 population were calculated. Results: A total of 1,206 incident lung cancer were registered among males, accounting for 15.5% of all male cancers registered during 2000-2010. It ranked first throughout the period. Median age at diagnosis was 69 (mean $66.8{\pm}11.0$) years. The incidence rate of all male lung cancers in Ninawa (all ages) decreased from 26.4 per 100,000 in 2000 to 12.7 in 2010 (APC=-6.55%, p<.0001). The incidences in age groups 40-49, 50-59, 60-69 and 70+ decreased in earlier years and recently appeared (2007-2010) stable. The incidence in age group (0-39) remained stable between 2000-2010. Squamous cell carcinoma (SCC)was the most common type of lung cancer, while adenocarcinoma was relatively rare. Conclusions: With the data from Directorate of Health in Ninawa during the period 2000-2010, lung cancer is the most common cancer but generally declining. Among all age groups, the recent incidence of lung cancer remained stable. The SCC predominance suggests change in tobacco habits as an important factor in the trends observed.

• The Journal of Advanced Prosthodontics
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• v.5 no.3
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• pp.351-358
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• 2013

PURPOSE. This retrospective study analyzed the distribution of the dental implants with regards to age and gender of the patients and type of indication for the implant therapy, as well as the location, dimension and type of the implants. MATERIALS AND METHODS. The data of demographics (age and gender), type of indication for implant therapy, anatomical location, dimensions (length and diameter) and type (bone and tissue level) of 1616 implants were recorded from patient charts between January 2000 and January 2010. Descriptive statistics were analyzed using a chi-squared test for demographic parameters, type of indication, tooth position, anatomical location, implant dimensions and type (${\alpha}$=.05). RESULTS. The patient pool comprised of 350 women and 266 men, with a mean age of $52.12{\pm}13.79$ years. The difference in n% of the implants of the age groups was statistically significant between the types of indications. The difference in the position of the implants was statistically significant between the n% of the implants of all age groups. Gender did not significantly vary, except that the diameter of the implants was significantly higher for the standard diameter implants in males. The difference between the implant positions was statistically significant when considered according to indication. The relationship between implant length and anatomical location was statistically significant. CONCLUSION. The indication for dental implant use is age dependent and the type and size of the implant seems to be strongly related to the location of the implant.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.2
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• pp.200-211
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• 2010

This study examines the clothing purchasing behavior of elderly female consumers based on their perceived age. This study grouped elderly female consumers by their perceived age and examined what influence the clothing selection criteria or fashion information sources have on individual clothing purchase behavior. From January $10^{th}$ to February $25^{th}$ 2008, data research was conducted on 194 elderly women in their 60s and 70s from Seoul. The SPSS 14.0 software program was used to conduct data analyses such as descriptive statistics, frequency analysis, factor analysis, reliability analysis, ANOVA, and the Duncan test as a post-hoc analysis. The results of this study are as follows: First, the elderly female consumers were divided into three groups, younger, average, and older according to their perceived age. Second, the factors derived from the factor analysis of their clothing selection criteria included personal relevance, practicability, conformity, and economic efficiency. In addition, three factors of advertising/media-provided, consumer-provided and store-provided information were extracted from the factor analysis of fashion information sources. Third, there were significant differences in personal relevance and conformity that depended on the perceived age of elderly female consumers for clothing selection criteria. Fourth, in the use of fashion information sources, significant differences were found in all aspects of advertising/media-provided, consumer-provided, and store-provided information sources that depended on their perceived age.

• Korean Journal of Community Nutrition
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• v.13 no.6
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• pp.805-817
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• 2008

The aim of this study was to determine the predictors of desirable pregnancy outcomes. The subjects were 795 pregnant women participating in the 2007 Mom and Baby Expo. They were grouped by gestational age: group I (3-12 wk: n = 95), group II (13-25 wks: n = 263) and group III (26-42 wks: n = 437). We collected data for general characteristics, sociocultural factors, life styles and nutrient intakes. We also collected pregnancy outcome data of 634 pregnant women including birth weight, maternal weight gain and gestational age. Dietary intakes of the subjects were estimated by Food Frequency Questionnaire. folate, iron and calcium intakes from foods of pregnant women were 88%, 79% and 58% of KDRIs, respectively. Bivariate analysis showed that birth weight was significantly associated with pre-pregnancy BMI, maternal weight gain, maternal age, gestational age and intakes of iron, potassium, $vitaminB_1$, $B_6$, fatty acids, MUFA. And also, bivariate analysis showed that maternal weight gain was significantly associated with pre-pregnancy BMI, maternal age, gestational age and intakes of energy, potassium. Further multivariate analyses suggest that vitaminB6 may be a significant predictor for low birth weight and energy intake and maternal age for maternal weight gain. Our findings suggest that dietary and lifestyle interventions during pregnancy can improve maternal and infant pregnancy outcomes. Prepregnancy weight control and intakes of energy and vitamin $B_6$ need to be taken into considerations in developing strategic prenatal care programs to promote desirable pregnancy outcome.