• Journal of agricultural medicine and community health
• /
• v.31 no.2
• /
• pp.187-208
• /
• 2006

Objectives: This study was carried out to evaluate the risk factors of Oral cleft and to inspect the living environments of the rural areas of Sintang, Indonesia Methods: During 3 to 9 August 2004, A questionnaire survey was done for the risk factors of oral cleft. Case group was composed of 11 oral cleft patients who admitted Missionary Hospital whose mother's bloods were analyzed for anemia and hyperlipidemia. Control group was composed of 56 reproductive rural women recruited from near rural villages. Also we surveyed 4 rural areas of Indonesia with simple water test kits. $x^2-test$ for significant difference was analysed. Results: Drinking water was statistically significant risk factor(p<0.05) of oral cleft. Other factors had no statistical significancy. The kind of drinking water was river-originated water. In rural villages, water sanitation state, even boiled water, was very poor. Although $NO_2-N$, $NO_3-N$ was negative, E. coli-form microorganisms were strongly positive in most samples. Total food intake amount was not enough, and vitamin supplements were also under the need. Conclusions: Drinking the contaminated river-water around pregnancy was supposed to be one of the risk factors of oral cleft in Indonesia. Further study is needed for nitrate and mercury.

• The Korean Journal of Rehabilitation Nursing
• /
• v.7 no.1
• /
• pp.33-47
• /
• 2004

The purpose of this study was to investigate weight control practices and cardiovascular risk in middle-aged women. 304 middle-aged women were selected as subjects from thirties to fifthies living at J city in Chung-Buk Do. Data were collected using a questionnaire, anthropometric measurements, BP & total cholesterol level in serum from April 1, to June 30, 2003. The results of this study were as follows: The middle-aged woman's age is average $43.95{\pm}7.09yr$ and mean BMI(body mass index) was $23.54{\pm}3.09\;kg/m^2$. Underweight, normal weight, overweight, obese women were 3.0%, 39.5%, 27.9% and 29.6%respectively. Subjects perceived own as 'Slim' 5.9%, 'ordinary' 45.7%, 'Fat' 48.4%. Their weight perception coincide their own actual body weight but as many as 41.8% of overweight and 9.0% of obese perceived themselves as being 'ordinary'. Middle age women with past weight control experience were 55.6%, and only 35.5% was doing weight control at present. Of these subjects, 71.4% reported wanting to lose weight and the primary reason of weight control was to improve their appearance(39.53%). The most frequently reported weight control behavior was 'exercise' followed 'dieting', but 39.6% reported using 'diet food', 12.4% 'behavior modification', 12.4% 'fasting', and 'diet-drug'(3.6%) or 'smoking'(3.6%). Effective weight control methods were thought regular exercise(97.1%) & dieting (79.3%). And behavior modification(71.4%) or diet camp(60%) were effective, too. An average waist circumference was $79.80{\pm}9.47cm$, waist/hip ratio was $86.63{\pm}6.78$, waist/height ratio was $50.43{\pm}6.10$. In the index of abdominal obesity, 79.7 % of middle-aged women was waist/height ratio over 0.46, 65.3% was waist/hip ratio over 0.85, 28.4% was waist circumference over 85cm. There were significant differences in the degree of abdominal obesity according to age and BMI. In the index of cardiovascualr risk, 10.9% of middle aged women was systolic hypertension over 140mmHg, 18.7% was diastolic hypertension over 90mmHg and 10.6% was hypercholesterolemia over 200mg/dl. There was significant difference in systolic hypertension ratio according to age. There was significant difference in diastolic hypertension ratio according to age and obesity. There were significant differences in hypercholesterolemia accorting to obesity. The abdominal obesity indices and the levels of T-cholesterol in the serum, systolic and diastolic BP increased significantly according to age. T-cholesterol in serum was predicted 2.6% by waist/height ratio. And systolic BP was predicted 15.2% by waist/height, add BMI to 16.8%. Subject's diastolic BP was predicted 12.1% by BMI. Therefore waist/height ratio and BMI were significant factors for the predictors of cardiovascular risk. There was significant correlation between index of obesity and cardiovascular risk. T-cholesterol in serum had correlation with waist/eight ratio(r=0.174) and waist circumference(r=0.48). Systolic BP had correlation with waist/height ratio(r=0.387), and BMI(=0.371). diastolic BP correlation had correlation with BMI(r=0.343) and waist/height ratio(r=0.327). In conclusion, The prevalence of obesity was 29.6% in 304 cases, and increased as age after menopause increased. Middle-aged women's weight perception and actual BMI coincide but some of them did not. Trial to reduce weight was attempted. But most of them did not actually. Undesirable weight control method such as using drugs, fasting, smoking was used by some women. It is important to educate about health weight control methods and raise their awareness of exact body figures. High frequency of abdominal obesity in middle-aged women had correlation with hypertension and hypercholesterolemia. Abdominal index such as waist/height ratio, waist circumference, waist/hip ratio was used. Women's hypertension, hypercholesterolemia significantly related to body mass index and abdominal obesity.

• Korean Journal of Agricultural Science
• /
• v.7 no.2
• /
• pp.87-102
• /
• 1980

In order to investigate the utilization probability of two years old laying hen for W.L. and R.I.R. breeds, carcass weight and percentage were examined and dried old chicken meat products were manufactured for experiments. The results obtained are as follows. 1. Average living body weight were 1,635.40g for the W.L. breeds and 2,289.29g for the R.I.R. breeds and percentage carcass and lean meat for the W.L. were 58.73% and 43.95%, for the R.I.R. 60.34%, 41.98%, respectively. 2. In constitution percentage of carcass on different parts for W.L. and R.I.R. breeds, head were 4.13% and 3.94%, wing 9.97% and 8.62%, breast 32.54% and 20.94%, back 11.35% and 9.75%, thigh 30.75% and 31.34%, hypordermic fat 11.37% and 17.34%, respectively. 3. In constitution percentage of lean meat on different parts for W.L. and R.I.R. breeds, head were 4.03% and 3.95%, wing 9.47% and 9.79%, breast 39.37% and 38.14%, back 11.24% and 9.40%, thigh 36.16% and 38.74%, respectively. 4. In chemical composition of old chicken meat for W.L. breed, moisture was 68.18%, crude protein 22.80%, crude fat 2.70%, extract 5.15% and crude ash 1.18% and for R.I.R. breed, moisture was 68.04%, crude protein 22.18%, crude fat 3.13%, extract 5.45% and crude ash 1.21%. 5. Weight loss in steaming for W.L. at $121^{\circ}C$ for 30min., 60min., and 90min. were 54.91, 56.43 and 58.42%, respectively, and for R.I.R. were 45.23, 47.68 and 49.68%, respectively. 6. The yield of old chicken meat product per a hen were 253.01g for W.L. and 368.64g for R.I.R., the ratio for fresh meat weight and for carcass weight were 35.47% and 26.34% for W.L. breed and 38.25 and 26.83% for R.I.R. breed. 7. In chemical composition of old chicken meat product for W.L., moisture was 16.69%, crude protein 66.16%, crude fat 12.81%, crude ash 4.35%, and R.I.R., moisture 16.11%, crude protein 65.95%, crude fat 13.78% and crude ash 4.57%. 8. To investigate the physical properties which was main factor affecting the product quality, tensile strength, tear strength and elongation rate were measured. The adhesive force of the product made under pressure of $70kg/cm^2$ was similar to those of chipo which was the control product. 9. When measured the color of each protein product, lightness of the product pressed at $70kg/cm^2$ was better than that at $35kg/cm^2$, and the lightness of breast muscle product at $70kg/cm^2$ and chipo was not significant as 16.7% and 16.4%, respectively. Dominant wavelength of product pressed at $70kg/cm^2$ was very similar to chipo which was yellowish orange. 10. In the results of sensory evaluation test containing taste, color, chewing texture and oder of the meat product, when index of chipo as control product was 100, index of breast meat product was higher than that as 118.4, but miscellaneous product was 99.7 and thigh product was 96.2. 11. Summing up the results written above, the meat product utilizing two years old laying hen was compared favorably with its similar food such as chipo on the point of nutrition and physical properties as high protein food, therefore, it was thought that industrialization must be highly appropriate.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.35 no.1
• /
• pp.68-77
• /
• 2006

This study was peformed to document the association between nutrient intakes, body mass index (BMI), waist/hip ratio (WHR), and a major risk factor for chronic diseases. A three-day dietary intake survey, using a 24 hour recall method, was obtained from 187 subjects aged 46 to 84 (mean age 65.3) living in Wando island area. The average daily mean energy intakes were 1869.0 kcal for male and 1943.9 kcal for female, respectively. Daily intakes of protein for male and female were 28.0 and 30.4 g, and those of fat were 31.5 and 28.51 g, respectively Carbohydrate dependency was decreased with age. Protein dependency was increased with age. The mean intakes of energy, protein, Vit. A, Vit. D, Vit. E, Ca, Zn did not meet Korean RDA for elderly. The level of serum triglyceride was higher in males than in females and showed the tendency to increase with age in both sexes, whereas HDL-cholesterol tended to decrease with age in both sexes. The levels of serum total-cholesterol and LDL-cholesterol were significantly higher in males than in females, particularly in the age of $46\~59$ (p<0.05). The level of atherogenic index (AI) was significantly higher in females than in males, particularly in the age of 80 and over (p<0.05) Based on these results, it is evident that people in island area did not consume enough nutrient. Specially, dietary intake of protein was not adequate. This study implies that triglyceride, total-cholesterol, LDL-cholesterol, AI were increased with increasing age, BMI and WHR.