• Journal of Society of Preventive Korean Medicine
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• v.10 no.1
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• pp.67-74
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• 2006

Objectives: This study was carried out to establish the normal values of Serum Total Cholesterol, HDL-cholesterol by age and sex for healthy adult and the frequency of dyslipidemia as a risk factor of coronary atherosclerosis. Methods: Total cholesterol, and HDL-cholesterol measured among 14,485 in general growing people (8,712 males and 5,773 females) aged 20 to 69 years and analyzed to use the auto-analyzer Hitach 7600 in enzyme method. Result: 1. The levels of total cholesterol, HDL-cholesterol and atherogenic index were slightly positively correlated with age in both sexes. The mean values of serum lipid profiles were $190{\pm}32.9mg/dl$ in men and $181{\pm}32.8mg/dl$ in women for cholesterol, $50.1{\pm}11.4mg/dl$ in men and $54.5{\pm}12.0mg/dl$ in women for HDL-cholesterol, $3.9{\pm}1.0$ in men and $3.4{\pm}0.8$ in women for atherogenic index. 2. Mean values of total cholesterol and atherogenic index higher in men than in women at the age 20-40 years but significantly higher in women than in men at the age group 60 years.(p<0.001) 3. The frequency of hypercholesterolemia(${\geq}200mg/dl$) and low HDL-cholesterol(<35mg/dl) were increased with age in both sexs, significantly higher in women at the age group 60 years. The frequency of hypercholesterolemia(${\geq}200mg/dl$) and low HDL-cholesterol(<35mg/dl) in men and women was 37.5%, 25.3%, and 5.5%, 2.8%. Their requencies were higher in men than in women. Conclusion: Theses findings suggest that the mean concentrations of total cholesterol and HDL-cholesterol in men and women vary with age. The frequency of hypercholesterolemia(${\geq}200mg/dl$) in men and women was about 31.4% and increased with age.

• Journal of Preventive Medicine and Public Health
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• v.33 no.4
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• pp.521-529
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• 2000

Objectives : To assess height, weight and body mass index from childhood to adolescence according to the age at menarche and hence to study the influence of childhood growth on the menarche age. Methods : $\lceil$The Kangwha Study$\rfloor$was a community-based prospective cohort study which included the entire population of 219 female first graders in Kangwha county in 1986. Among the 219 girls, 119 girls who had received complete follow up checks during the study period$(1986\sim1997)$, were included in this study, except one for whom menarche age information was unavailable. The remaining 118 girls were divided into three groups according to the timing of menarche : early(<25 percentile), intermediate and late($\geq75$ percentile) maturers. Results : The average age at menarche was 12.7 years . early 11.3 years, intermediate 12.6 years and late 13.7 years. The early maturers were taller and heavier between $6\sim8$ years. But, the mean weight and body mass index at the menarche age did not differ statistically among the three groups. The weight and body mass index of the early maturers were consistently higher than those of the late maturers over the entire period of the study. Conclusions : Critical body weight and body mass index must be attained for menstruation to be attained and the age at menarche is largely determined by the childhood growth. In addition, it seems that childhood growth and age at menarche are associated with adolescent weight and body mass index.

• Korean Journal of Remote Sensing
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• v.24 no.6
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• pp.583-590
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• 2008

This study presents a correlation between timber Age, image bands and vegetation indices for timber age estimation. Basically, this study used Landsat TM images of three difference years (1994, 1994, 1998) and difference between Shuttle Radar Topography Mission (SRTM) and National Elevation Dataset (NED). Bands of 4, 5 and 7, Normalized Difference Vegetation Index (NDVI), Infrared Index (II), Vegetation Condition Index (VCI) and Soil Adjusted Vegetation Index (SA VI) were obtained from Landsat TM images. Tasseled cap - greenness and wetness images were also made by Tasseled cap transformation. Finally, analysis of correlation between timber age, difference between Shuttle Radar Topography Mission (SRTM) and National Elevation Dataset (NED), individual TM bands (4, 5, 7), Normalized Difference Vegetation Index (NDVI), Tasseled cap-Greenness, Wetness, Infrared Index (II), Vegetation Condition Index (VCI) and Soil Adjusted Vegetation Index (SAVI) using regression model. In this study about 1,992 datasets were analyzed. The Tasseled cap - Wetness, Infrared Index (II) and Vegetation Condition Index (VCI) showed close correlation for timber age estimation.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.2
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• pp.13-21
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• 2023

PURPOSE: This study examined the specific clinical risk factors in middle-aged men with age-related loss of skeletal muscle mass (ALSMM). METHODS: The present research analyzed the data from a cross-sectional study of 1,564 community-dwelling participants aged between 40 to 49 years old. The participants were screened for ALSMM. The study examined various risk factors, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking status, systolic and diastolic blood pressure, fasting glucose levels, and triglyceride and cholesterol levels. RESULTS: The risk factors of ALSMM were height, body mass index, waist circumference, skeletal muscle mass index, systolic blood pressure, diastolic blood pressure, drinking status, fasting glucose, and triglyceride levels (p < .05). The weight, triglyceride, and smoking status variables were non-significant (p > .05). CONCLUSION: The risk factors for ALSMM among community-dwelling adults were determined. These results are expected to contribute to the existing literature on ALSMM and provide potential risk factors associated with the development of ALSMM in middle-aged males.

• IE interfaces
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• v.16 no.2
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• pp.140-148
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• 2003

This study was performed to measure the various dimensions of the hand for Korean adults. Three hundred and eighteen males and two hundred and sixty females, age ranged 18 to 60, participated in this study. Thirty-five dimensions were selected to measure. Subjects were divided into three age groups, 18 to 29, 30 to 39, and 40 to 60, for each sex. The data were analyzed to see the differences between the age groups and sex by using SAS program. The results showed that the measurements related to breadth and thickness tended to increase as the age increased. Wrist breadth, index finger breadth(distal), index finger breadth(proximal), thumb breadth, and index finger thickness(proximal) increased as the age increased for both males and females (p<0.05). However, the measurements related to length tended to increase as the age decreased. The relationship between the parts that are length related showed high correlation. Hand length showed high correlation with palm length, middle finger length and index finger length. Males' were significantly greater than females' in every dimension (p<0.05). Also, the results of this study were compared with the data of Japanese and U.S. army. The results of this study can be used to design the hand related products.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.3
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• pp.1-9
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• 2023

PURPOSE: This study examined the prevalence and specific risk factors in males aged 40-49 years with the coexistence of age-related loss of skeletal muscle mass and obesity (CALSMO). METHODS: The current study analyzed the data obtained from a cross-sectional study involving a sample of 1,218 men who resided in the community and fell within the age range of 40 to 49 years. Multiple risk factors were examined: age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking habits, systolic and diastolic blood pressure, fasting glucose levels, and triglyceride and cholesterol levels. All data were analyzed via complex sampling analysis. RESULTS: The coexistence of age-related loss of skeletal muscle mass and obesity in males was 2.94% (95% CI: 2.06-4.17). The clinical risk factors were low height, high weight, body mass index, waist circumference, skeletal muscle index, systolic blood pressure, diastolic blood pressure, and fast glucose (p < .05). CONCLUSION: The study identifies the prevalence and risk factors for CALSMO among adults in the community. These findings contribute to the existing literature on CALSMO and highlight potential risk factors associated with CALSMO development in males aged 40-49 years.

• Physical Therapy Korea
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• v.9 no.1
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• pp.43-51
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• 2002

Physiological Cost Index (PCI) of walking has been widely used to predict oxygen consumption in healthy subjects or patients. The purpose of this study was to evaluate the predictability of physiological cost index of walking for the amount of exercise and cardiac function. Walking exercise was conducted in 67 healthy children (age 4-12) with a self-selected comfortable walking speed on the level surface. Walking speed was calculated, and heart rate was measured before and immediately after the walking. PCI was calculated for statistical analysis. The results were as follows; 1) The walking speed tends to increase and PCI of walking tends to decrease with age. There was significant difference in walking speed and PCI of walking among three age groups (p<.05). The change of walking heart rate tends to decrease with age, however, there was no significant difference among three age groups. 2) Linear regression equation between walking speed and age was 'Y (walking speed) = 2.124X (age) + 48.286' ($R^2$=.337), (p=.00). 3) The walking heart rate tends to decrease with age. Linear regression equation between walking heart rate and age was 'Y (walking heart rate) = 143.346 - 2.63X (age)' ($R^2$=.3425), (p=.00). 4) The walking heart rate decreased as body surface area (BSA) increased. Linear regression equation between walking heart rate and BSA was 'Y (walking heart rate) = 149.830 - 27.115X (BSA)' ($R^2$=.3066), (p=.00). In conclusion, these equations and PCI could be useful to quantify the variation of energy expenditure of children with pathological gait when compared with age-matched healthy children.

• Clinical Nutrition Research
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• v.13 no.2
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• pp.96-107
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• 2024

Malnutrition affect clinical outcomes in hospitalized old age patients, but the data on the related outcomes on the basis of different age categories are still limited. We aimed to investigate the interplay of associations among body mass index (BMI), falls risk, and mortality rate in different older adult patient age categories. This retrospective study included hospitalized patients aged ≥ 65 years who received artificial nutrition. Demographic, biochemical, and survival data were collected. BMI was evaluated using the World Health Organization BMI cutoffs for Asians, and patients were classified into high (≥ 23.0 kg/m²), normal (18.5-22.9 kg/m²), and low (< 18.5 kg/m²) BMI groups. The Morse Fall Scale was used to assess falls risk. By age categories, all patients (n = 4,642) were divided into the 65-74 (n = 2,649) and ≥ 75 (n = 1,993) years age groups. We found that the proportion of low-BMI and high risk of falls increased with age. Further, low-BMI was associated with increased falls risk in both age groups. Overall survival rate tended to be lower in the low-BMI and ≥ 75 years group than that in other patient groups, but did not differ significantly compared with the low-BMI and 65-74 years group. Low-BMI was associated with increased falls risk and mortality; however, the association depended on specific patient age groups.

• Journal of the Korean association of regional geographers
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• v.3 no.1
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• pp.35-50
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• 1997

The purpose of this research seeks to analyze the spatial variations in the sex age structure which have been shown to exist within the study atrea, the Kyonggi province in Korea. In this study it is desired to use the Age Structure Index developed by Coulson in order to describe thi sex age structure of each of 186 tracts that comprise the tracted portion of the Kyonggi province. The mechanics of computing the Age Structure Index are found in the equation describing a linear least squares trend line: y=a+bx. For each census tract, the percentage of the population in each age group(y) was plotted against the middle age of each age group(x). The a is a constant representing the value of y, when x equals zero. The b is the regression coefficient and is a measure of the angle of the slope of the least squares trend line. Thus the value of b is the Age Structure Index for each census tract. The major results of this investigation can be summarized as follows: The spatial distributions of sex age structures in the Kyonggi province are far from random. They have exhibited great regularity with the yonger sex age structures near Seoul and a sharp decline to the older sex age structures out in all derections towards rural region. The results of this investigation should have important general significance for the study of the Kyonggi province Age Structure Index is a flexible, operational definition shich allows sex age structure to be measured, mapped, and incorporated in a wide variety of methods of statistical analysis. Futurer, it has been demonstrated that sex age structure varies spatially within Seoul metropolitan finge and that this variation is relagfed to many other attributes of the population. Especially, Age Structure Index is strongly related to the variables-rate of population growth rate. density, rate of numbers of manufacturing, land price. At the same time, considerably more research is needed before a genmeral body of knowlege concerning sex age structure can be developed.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.10
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• pp.1451-1457
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• 2004

Bone density parameters of children, unlike that of adult, might reflect growth effect along longitudinal direction as well as bone mass. The clinical test was performed for 859 male/female children with age 6-16 years. Ultrasonic imaging system was used to measure bone density, and relationship of bone density to age was evaluated. The bone quality index appeared to be highly correlated with age for male/female children. It was found that bone quality index rose rapidly in the first growth period. The bone quality index was then kept almost unchanged in the period of puberty, and slowly rose after puberty. It was also found that growth of female stopped earlier than that of male. Also, if more clinical examinations are performed by applying various sizes of region of interest, relationship between bone density and age is expected to be more reliable.