• Title/Summary/Keyword: Age Groups

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The Preference of the environments of the elderly housing by different age groups (연령계층별 노인주거환경에 대한 선호도 비교)

  • 지은영
    • Journal of the Korean Home Economics Association
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    • v.35 no.2
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    • pp.297-308
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    • 1997
  • The purpose of this study was to examine the environmental characteristics of housing for the elderly preferred by different age groups. By age groups, the result of the study may be described as follows: 1. The young people and the middle aged wanted to live in self-contained unit, but the aged tended to live in the three-generation sharing house to spend their declining years in the future. 2. In the interior housing environment, all three age groups were highly interested in the security facilities than the interior space arrangements of planning of elderly housing. especially, the result of demand of the interior space arrangements in the young people was higher than the old age's. In the exterior housing environment, the garden si the most important space in establishing housing plan.

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10-Year Analysis of Blood Lipid Profile and Other Risk Factors Among Aircrew Members in Korea (10년간 우리나라 운항승무원의 혈중 지질과 관련요인 분석)

  • Kwak, In-Ho;Lee, Yong-Ho
    • Journal of Preventive Medicine and Public Health
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    • v.26 no.3 s.43
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    • pp.387-399
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    • 1993
  • This study was conducted to analyze blood lipid profile and other risk factors among crew members who are currently active and had more than 10 years of experience as crew members. Data was analyzed using medical record files in an airline medical department. The results are as follows. 1. The total number of crew members studied was 392. Among age groups, those below age 40 consisted of 26(6.9% of the total), those in age $41{\sim}50$ were 135 (34.4%) and those over age 51 were 230 (58.7%). 263 were former air force pilots consisting 66.9%. Those who had captain status numbered 21 I comprising 53.7% of the total. The type of aircraft most of the crew members involved were large size aircraft which totaled 268 (68.2%). With respect to the number of working years as crew members, 488(48.9%) comprised the largest group with $11{\sim}15$ years. 2. The rate of smoking among crew members has shown gradual decrease with 50.3% smoking in 1983 to 33.6% in 1993. Among $41{\sim}50$ age group the rate has shown a decrease from 20.9% to 13.3% In those group over age 51 it decreased from 25.5% to 16.6%. But group below age 40 were within the range of 3.6~3.8% with no significant change in the rate of smoking. 3. Body Mass Index in age group over 51 was slightly higher than other age groups. On the whole, BMI over 25 was not found. 4. The total cholesterol levels of those below age 40 were $196.9{\pm}38.5mg/dl,\;216.2{\pm}39.2mg/dl$ in ages $41{\sim}50$, and $225.1{\pm}42.5mg/dl$ in age group over 51. No significant difference was found among age groups. 5. HDL-cholesterol levels of over age 50 were higher than other age group and ranged from $40{\sim}55mg/dl$. 6. LDL-cholesterol levels of those over 51 were $126.7{\pm}37.7mg/dl$ higher than other age groups. But there were no significant changes in all age during 10 years of follow up. 7. Cardiac index of age group below age 40 was 3.8, 4.3 in age group $41{\sim}50$ and 4.5 in those over age 51 group. No significant changes among groups were found during the follow up period. 8. Triglyceride levels of age group below age 40 was $142.2{\pm}70.1,\;167.3{\pm}77.5$ in age group of $41{\sim}50$ and $113.6{\pm}897$ in age group over 50 showing that triglyceride levels increased with age. No significant changes in pattern were noted.

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Age-related differences in the digital divide: Focusing on married female immigrants (결혼이민자 여성소비자의 디지털정보격차지수 결정 요인: 연령별 차이 연구)

  • Kim, Hyo Jung
    • Human Ecology Research
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    • v.56 no.3
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    • pp.217-232
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    • 2018
  • This study analyzes the determining factors of the digital divide index in married female immigrants based on panel data from the National Information Society Agency (2016). There were 287 participants, all of whom owned a smartphone. The study divided the consumer groups into three age groups: 20-29, 30-39, and 40-49 years. SPSS 19.0 was used to statistically analyze the results. The findings of the analysis were described using frequency, descriptive, cross-tab, ANOVA, correlation, and multiple regression analysis. The findings of this research are as follows. First, nationality, acquisition of Korean nationality, and duration of living in Korea were significantly different among the three groups. Second, digital competency and online service usage were also significantly different among the three groups. Third, PC usage ability, mobile usage ability, and diversity of online usage significantly influenced the digital divide index in all age groups. Fourth, residential duration in Korea significantly decreased the digital divide index for groups in their 30s and 40s. Fifth, Loneliness significantly increased the digital divide index for groups in their 20s. Sixth, depression significantly increased the digital divide index for groups in their 30s. The study will help to further understand age-related differences and the digital divide of married female immigrants.

Patterns of Food Habits and Food Intake by Age - Base on the Nutrition Counseling Data of Medical Health Examination - (연령에 따른 경기 지역 종합검진 영양 상담자의 식습관과 식이 섭취 패턴 - 2007 건강증진센터 자료 분석 -)

  • Ha, Ae-Wha;Ryu, Hye-Sook
    • The Korean Journal of Food And Nutrition
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    • v.23 no.4
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    • pp.531-541
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    • 2010
  • The purpose of this study was to analyze the dietary habits and food intake by age, based on the nutrition counseling data of medical health examination. The subjects were 5,511 adults(3,139 males and 2,372 females) who took comprehensive medical test in Gyeonggi area, and they were evaluated from January 1, 2007 to December 31, 2007. Survey samples were divided by age groups : 30>, 30~39, 40~49, 50~59, 60~69, 70{$\leq}$ years. The subjects were composed of 57% male and 43% female. The results showed that the dietary habits of ${\geq}$50 group were relatively good. On the other hand, in 30> yrs group had more dietary habit problems, they had irregular meals and the ratio of skipping breakfast was high. And they frequently had meals out. regularity of meals, eating breakfast was higher in ${\geq}$70 yrs groups than in other groups(p<0.001). frequency of overeating was higher in 30>, 30~39${\geq}$yrs groups than in other groups(p<0.001) and speed of eating meal were fast in 50~59 yrs groups than in other groups(p<0.01). For foods with high cholesterol and fat, it was shown that the older the subject, the fewer the frequency of consumption(p<0.001). For kimchi and salty foods, food intake showed a negative relationship with age(p<0.001), whereas for fresh vegetables and high-calcium fish, it showed a positive relationship(p<0.001). All in all, it was shown that as the people get older, their dietary habits tend to get more appropriate. In conclusion nutrition education based on their dietary habit by age should be taught, so that people have a healthy dietary habit and food intake for the rest of their life.

Health Behaviors of Diabetic and Non-Diabetic Subjects across Age Groups (당뇨병 환자와 비당뇨병 환자의 연령별 건강행태)

  • Kim, Jin-Hee;Chu, Su-Kyung;Moon, Ju-Ryoung;Song, Min-Sun;Kim, Sung-Eun
    • Korean Journal of Health Education and Promotion
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    • v.27 no.3
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    • pp.13-22
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    • 2010
  • Objectives: The aims of this study were to provide basic information on health behaviors of diabetics by age groups, compared to non-diabetics group. Methods: 2007 National Health Nutrition and Examination Survey Data were used to compare health behaviors between the diabetics group (191 diabetics who had been diagnosed by a doctor) and the non-diabetics group (382 general population) according to age groups. For the purpose of analysis, $x^2$-test (Fischer's exact test) and conditional logistic regression were used. Results: There were significant differences in health behaviors between the diabetics group and the non-diabetics group according to the history of health screening, BMI and alcohol consumption, and there were different pattern of health behaviors by age group. Conclusion: When developing and implementing health education and specific intervention programs for the correction of health behaviors among diabetics, one should consider age, age-adjusted health behavior patterns and priority.

A Study on the Trend of Bodytype Change -On the adult male between age 19 and 54- (체형의 변이 경향에 대한 연구 -우리나라 19~54세 남성을 대상으로-)

  • 김구자;이순원
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.1
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    • pp.218-227
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    • 1996
  • The purpose of this study was performed to analyze the trend of bodytype change of adult males. Subjects were 1290 Korean adult males and their age range was from 19 to 54 year, ; old. 75 variables(66 variables from the direct anthropometric data and 9 variables from the multiplication method) in total were applied to analyze. The principal component analysis was applied to the data with orthogonal rotation after extraction of major factors. The high factor loading items extracted by factor analysis were analyzed for the trend of bodytype change by the age group respectively. The result of factor analysis indicated that the first factor was composed with about 30 items, girth, depth and width-measures in 4 age groups and was analysed as form factors. Especially, age-related change was caused by increase of waist girth, depth and width. The second factor was composed with about 23 items, length and height-measures in all age groups. Stature has a constant factor loading value in 4 groups. Front and back waist-height and the navel-height have the highest factor loading value. The third, fourth and fifth factors were composed with different variables among the age groups.

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Consumers' Clothing Purchase Behaviors according to Age and Clothing Shopping Orientation Type (연령과 의복쇼핑성향 유형에 따른 의복구매행동)

  • Chae, Jin Mie
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.1
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    • pp.141-158
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    • 2020
  • This study examines age differences with respect to consumers' clothing purchase behavior. First, the differences of age groups were investigated according to clothing purchase behavior, which include purchase item, purchase price, purchase channel, information resources, purchase frequency, and monthly clothing expenditures. Second, the differences of segmented groups by age variable were investigated according to clothing purchase behaviors after segmenting consumers by clothing shopping orientation. An on-line survey was conducted from July 2 to July 10, 2019, and 500 data were collected from adults aged 20s to 60s who had bought their own clothes within one year. Data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. This findings showed that there were significant differences in purchase item, purchase price, purchase channel, purchase frequency, and information resources according to age group. As a result of segmentation by shopping orientation, consumers were classified into three groups of high shopping involvement, low shopping involvement, and economic pursuit. In addition, there were partly significant differences in clothing purchase behavior according to classified groups by age variable.

Risk Factors of Malnutrition by Age in Hospitalized Older Adults (입원 노인의 연령별 영양불량 위험요인)

  • Kim, Eun Jung
    • Journal of Korean Clinical Nursing Research
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    • v.27 no.1
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    • pp.77-84
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    • 2021
  • Purpose: Malnutrition affects all age groups, but older adults are particularly more vulnerable to nutritional deficiencies. This study evaluated the age-specific factors affecting malnutrition in hospitalized older adults. Methods: A retrospective study was conducted on inpatient elderly people who received artificial nutrition from 2010 to 2017. Data of demographics, diagnosis, type of nutrition therapy, number of comorbidity, fall risk assessment, Acute Physiologic Assessment and Chronic Health Evaluation (APACHE) score, and intensive care unit admission were collected. Malnutrition was defined as a body mass index (BMI) of less than 18.5 kg/m2. Patients were classified as the young-old (65~74 years old), the old-old (75~84 years old), or the oldest-old (85 years old or older). Results: A total of 7,130 older adults were included, and 4,028 patients were classified as the young-old, 2,506 into the old-old, and 596 into the oldest-old. Proportion of malnutrition was higher in the oldest-old compared to the other groups. In multivariate analysis, parenteral nutrition, alcohol, and high risk of falls were factors affecting malnutrition in all groups. Parenteral nutrition and alcohol in the young-old, high risk of falls in the old-old, and male sex in the oldest-old were the factors affecting malnutrition by the age group. Conclusion: Older age was the most significant factor affecting malnutrition. Specific strategies by age are needed to improve nutritional status in hospitalized older adults as influencing factors for malnutrition vary among different age groups.

Study of age specific lung cancer mortality trends in the US using functional data analysis

  • Tharu, Bhikhari;Pokhrel, Keshav;Aryal, Gokarna;Kafle, Ram C.;Khanal, Netra
    • Communications for Statistical Applications and Methods
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    • v.28 no.2
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    • pp.119-134
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    • 2021
  • Lung cancer is one of the leading causes of cancer deaths in the world. Investigation of mortality rates is pivotal to adequately understand the determinants causing this disease, allocate public health resources, and apply different control measures. Our study aims to analyze and forecast age-specific US lung cancer mortality trends. We report functions of mortality rates for different age groups by incorporating functional principal component analysis to understand the underlying mortality trend with respect to time. The mortality rates of lung cancer have been higher in men than in women. These rates have been decreasing for all age groups since 1990 in men. The same pattern is observed for women since 2000 except for the age group 85 and above. No significant changes in mortality rates in lower age groups have been reported for both gender. Lung cancer mortality rates for males are relatively higher than females. Ten-year predictions of mortality rates depict a continuous decline for both gender with no apparent change for lower age groups (below 40).

Effect of dietary protein level on bone metabolism of young and aged rats (식이 단백질 수준이 어린쥐와 나이든 쥐의 골격의 대사에 미치는 영향)

  • 조미숙
    • Journal of Nutrition and Health
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    • v.22 no.6
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    • pp.497-506
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    • 1989
  • To investigate the effect of levels of dietary protein and age on bone metabolism 40% and 5% casein were fed to the rats of 2 & 13 months of age for 12 weeks. High protein groups showed higher bone weight and Ca content than low protein groups and urinary Ca loss was increased in high protein groups but the difference disappeared gradually. A significant increase in urinary hydroxyproline excretion was noted in high protein groups of both age. Another short term study was undertaken to study if the above effect was related with renal function or PTH. Extremely high and low protein diets(60%, 6%) were fed to the rats of different ages(6wks, 6mos.) for 2 weeks, Urinary Ca excretion was significantly increased in high protein groups of young and aged rats and GFR was increased as well. There was no difference in serum iPTH levels between low and high protein groups, but it was elevated in aged rats. Alkaline phosphatase activity was higher in young rats, reflecting faster bone formation. The observed hypercalciuria in high protein groups, especially in aged rats, seems to be related to higher GFR, and PTH dose not appear to be a major mediator.

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