PURPOSE: The purpose of this study was to provide basic data on preventive child abuse program development. METHOD: Data were collected on 105 high-risk families of child abuse intervention was obtained from their main child rearer who raised the child under 18 years, olds during 10 months period from May, 2000 to March 2001. RESULT: The results were as follows : 1. Child abuse occurred in the subject's home, in the case of mild child abuse, 'throwing an object at the child' had the highest percentage 39.1%, in severe child abuse, 'rod, stick, belt, broom beating or using a variety of objects such as' had the highest percentage 49.5%, and in very severe child abuse, 'hospitalized by belting' had the highest percentage 3.8%. 2. The degree of child abuse potential showed high risk child abuse score with a mean of 213.3. The degree of beliefs in corporal punishment showed that subjects perceived corporal punishment of children positively with a mean of 32.2. 3. With respect to the child abuse potential, there were significant correlations with the subjects' age (r=.294, p=.002), education level (r=-.442, p=.000), and family income (r=-.355, p=.000). CONCLUSION: From this study not only child abuse occurrence but also child abuse potential were severely increased in poor livelihood families. Therefore to the high risk group, individual preventive approach must be applied.
Child ; Child Abuse ; Cytisus ; Education ; Humans ; Only Child ; Program Development ; Punishment

This study was carried out to identify bone mineral density (BMD), body composition, lifestyle and dietary habits of young women by physical measurement and questionnaires. The study subjects, 190 young women living in Seoul, were divided into three age groups: 20 ~ 24 years (93), 25 ~ 29 years (44) and 30 ~ 39 years (53). There was no significant difference in mean body muscle mass, protein, mineral, body fat and BMI among the three age groups. The rate of low weight (18%) in 20 years group was higher that of the 30 years (11.3%). The mean BMD and T-score were 0.44 g/cm2 and -0.66. BMD and T-score of the forearm bone were significantly higher in the 30 ~ 39 years group. But BMD and T-score of calcanues were not significantly different among the three age groups. The rate of normal, osteopenia and osteoporosis subjects by BMD were 60.5%, 38.4%, 1.1%, respectively. The rate of osteopenia in 20 ~ 24 years group was significantly higher than the other age groups. The rate of meal irregularity was significantly higher in 20 ~ 24 years group. The rate of women who walk and are exposed to sunlight more than 1hr per day were significantly higher in 20~24 years group than the others. However, the score of food behaviors is significantly higher (bad) in 20 ~ 24 years group than the others. The relationship between BMD and frequency of food intake showed significant differences in beans, broom, seaweed and rice wine. In conclusion, the risk rate of BMD was very high, 40% of the subjects, and the risk rate of BMD was higher in 20 years group than 30 years group, and the rate of low weight in 20 years group was higher than in 30 years group. The food habits and behaviors were not healthy enough. Therefore, nutrition education is needed for bone health.
Adipose Tissue ; Body Composition ; Bone Density ; Bone Diseases, Metabolic ; Cytisus ; Eating ; Fabaceae ; Female ; Food Habits ; Forearm ; Humans ; Life Style ; Meals ; Muscles ; Osteoporosis ; Seaweed ; Sunlight ; Wine

PURPOSE: There is a lack of data on the energy cost of children's everyday activities, adult values are often used as surrogates. In addition, the influence of body weight on the energy cost of activity when expressed as metabolic equivalents (METs) has not been vigorously explored. METHODS: In this study 20 elementary school students 9~12 years of age completed 18 various physical activities while energy expenditure was measured continuously using a portable telemetry gas exchange system (K4b2, Cosmed, Rome, Italy). RESULTS: The average age was 10.4 years and the average height and weight was 145.1 cm and 43.6 kg, respectively. Oxygen consumption (VO2), energy expenditure and METs at the time of resting of the subjects were 5.41 mL/kg/min, 1.44 kcal/kg/h, and 1.5 METs, respectively. METs values by 18 physical activities were as follows: Homework and reading books (1.6 METs), playing game with a mobile phone or video while sitting (1.6 METs), watching TV while sitting on a comfortable chair (1.7 METs), playing video game or mobile phone game while standing (1.9 METs), sweeping a room with a broom (2.7 METs) and playing a board game (2.8 METs) belong to light intensity physical activities. By contrary, speedy walking and running were 6.6 and 6.7 METs, respectively, which belong to high intensity physical activities over 6.0 METs. When the effect of body weight on physical activity energy expenditure was determined, R2 values increased with 0.116 (playing a game at sitting), 0.176 (climbing up and down stairs), 0.246 (slow walking), and 0.455 (running), which showed that higher activity intensity increased explanation power of body weight on METs value. CONCLUSION: This study is important for direct evaluation of energy expenditure by physical activities of children, and it could be used directly for revising and complementing the existing activity classification table to fit for children.
Adult ; Body Weight* ; Cellular Phone ; Child* ; Classification ; Complement System Proteins ; Cytisus ; Energy Metabolism* ; Humans ; Metabolic Equivalent ; Motor Activity* ; Oxygen Consumption ; Running ; Telemetry ; Video Games ; Walking