• Title/Summary/Keyword: middle and old age

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The coping Process to the death Spouse among Middle and Old-Aged Widows; The Moderating Effect of Social Support and Self-Complexity (중.노년기 여성의 배우자사망에 대한 적응:사회적 지지와 자기복합성의 중재적 효과)

  • 최혜경
    • Journal of Families and Better Life
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    • v.16 no.3
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    • pp.1-10
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    • 1998
  • The study attempts to examine the moderating effects of social support and self-complexity in coping to the death of spouse among middle and old-aged widows. The important findings from the data based on the sample of 161 widows are (1) age differentiates the types of stress experienced by widows (2) social support and self-complexity may either buffer or intensify depending on the circumstances in which widows reside in the negative effects of stress on psychological health among widows and (3) the moderating role of social support and self-complexity differs according to age of widows with older widows being more affected by these coping resources The results of the study support the assumptions drawn from Life-Course Perspective to explain the coping process to the death of spouse.

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Characteristics of Teenage Unwed Mothers in Korea (한국 10대 미혼모의 특성에 관한 연구)

  • Yoon, Mi Hyun;Lee, Jae Yeon
    • Korean Journal of Child Studies
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    • v.23 no.3
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    • pp.149-169
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    • 2002
  • The focus of this research was to understand the socio-demographic characteristics, pregnancy conditions, social support, and future plan of teenage unwed mothers in Korea. Among the unwed mother, the teenage group was a higher percentage (53.7%) than the over-twenties group (46.3%). In the distribution of teenage unwed mothers, the major part, 94.6%, was in the 16- to 17- year-old age range, and 5.4% were under 15 years of age. This indicates that the age of unwed mothers is getting lower. Most teenage unwed mothers were from intact(72.3%) and/or low-class(62.3%) families. A significant percentage (37.7%)was from middle- and upper-middle class families, signifying that teenage pregnancy is not a problem only of disadvantaged and lower class families. The education of one-third of the teenage unwed mothers in this study was only up to first year of middle school(7th grade), indicating that pregnancy may be a reason they dropped out of school.

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Comparison of the Estimations of Body Fat by Bioelectrical Impedance Analysis and Anthropometric Measurements in Women in Daeieon (대전지역 성인여성의 BIA와 신체계측치에 의한 체지방율 비교 연구)

  • Wang, Soo-Gyoung;Lee, Na-Young
    • Korean Journal of Human Ecology
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    • v.13 no.6
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    • pp.1037-1046
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    • 2004
  • Age-dependent changes in body fat can often be observed in normal population. A series of indirect body fat estimates, such as hydrodensitometry, Bioelectrical Impedance Analysis(BIA), and anthropometry equation for body fat, have been developed. The BIA made it possible to analyze body fat mass more related to hydrodensitometry than anthropometry. This study is to compare the body composition analysis between bioelectrical impedance analysis(BIA) and anthropometric measurements of women. The subjects were a group of Daejeon residents including 32 young-aged women($21.50{\pm}1.44$), 30 middle-aged women($50.33{\pm}5.27$), and 40 old-aged women($69.22{\pm}5.74$). We used BIA(inbody 3.0, Biospace Korea) to determine body fat and other body composition. We also measured weight, height, circumference for 12 parts, and skinfold thickness for 9 parts of all subjects' body. The results are as follows: The subjects' height by the age group were $161.74{\pm}0.94cm$ in the young-aged women, $154.16{\pm}1.09cm$ in the middle-aged, and $148.60{\pm}0.78cm$ in the old-aged respectively. BMI were, in order, $21.68{\pm}0.49,\;22.87{\pm}0.89,\;and\;23.85{\pm}0.55$. Relative body fat determined by BIA was, also in order, $29.06{\pm}0.92%,\;26.35{\pm}1.02%,and\;29.35{\pm}1.07%$. Circumference and skinfold that showed the highest correlation with body fat by BIA was waist in the young-aged(r=0.738) and bast in the middle- and old-aged(r=0.844, r=0.804), and triceps in the young-and old-aged(r=0.538, r=0.798), and subcostal in the middle-aged(r=0.872). Body fat Estimations by BIA were the highest correlation with Caucasian women's equation(r=0.588) in young-aged women, Siri's equation with Durnin & Womesley's body density measurement(r=0.875) in middle aged women and Caucasian women' equation(r=0.872) in old aged women. We need to develop specific anthropometric equations based on sex and age to determine body fat.

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The Changes of Sleep-Wake Cycle from Jet-Lag by Age (연령에 따른 비행시차 후의 수면-각성주기 변화)

  • Kim, Leen;Lee, Seung-Hwan;Suh, Kwang-Yoon
    • Sleep Medicine and Psychophysiology
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    • v.3 no.2
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    • pp.18-31
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    • 1996
  • Jet-lag can be defined as the cumulative physiological and psychological effects of rapid air travel across multiple time zones. Many reports have suggested that age-related changes in sleep reflect fundamental changes in the circadian system and in significant declines in slow wave sleep. Jet lag is a dramatic situation in which the changes of the phase of circadian process and homeostatic process of sleep occur. Thus the authors evaluatead the changes of sleep-wake cycle from jet lag by age. Thirty-eight healthy travellers were studied for 3 days before and 7 days after jet-flights across seven to ten time zone. They were aged 19-70, They trareled eastbound, Seoul to North America (USA, Canada). Sleep onset time, wake-up time, sleep latency, awakening frequency on night sleep, awakening duration on night sleep, sleepiness at wake-up and nap length were evaluated. Our results suggest that by the 7 to 10 time zone shift, the old age group was significantly influenced in sleep-wake cycles. The date on which subjective physical condition was recovered was $6.23{\pm}83$ day after arrivals for old age group, while for young and middle age group, $4.46{\pm}1.50$ day and $4.83{\pm}1.52$ day, respectively. In old age group, sleep onset time was later than baselines and could not recover untill 7th day. But in other groups, the recovery was within 5th day. Nap dura fion was longer in old age group through jet lag than younger age group. In other parameters, there was no definite difference among three age groups. Our results suggested that the old age was significantly influenced by the disharmony between internal body clock and sleep-wake cycle needed at the travel site. Thus we proved that recovery ability from jet lag was age-dependent as well as travelling direction-dependent. To demonstrate more definite evidence, EEG monitoring and staging of sleep were funthun encouraged.

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Community screening for stress by using General Health Questionnaire (일반건강측정표를 이용한 일부지역 주민의 스트레스 수준에 관한 연구)

  • Oh, Soo-Sung;Lee, Kwang-Seub;Sohn, Seok-Joon;Choi, Jin-Su;Rhee, Jung-Ae
    • Journal of Preventive Medicine and Public Health
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    • v.28 no.1 s.49
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    • pp.123-139
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    • 1995
  • This study investigated the stress of community residents in Kwang-Ju and Chonnam areas by using the General Health questionnaire(GHQ-60) as a instrument of stress measurement. The number of subjects were 445 residents who lived in three areas(large city, middle city, and rural area) and they were individually interviewed in March, 1994. The results of study showed that the degrees of stress measured by GHQ-60 were statistically significant in the residents' area, age, sex variables: (a) the residents in middle city among three areas had the highest level of stress; (b) the residents who were more than 60 in age had the highest level of stress: (c) the female residents had more stress than male residents, (d) particularly, the residents who were more than 60 years old in the middle city had the highest level of stress. Further, the results of factor analysis showed that there were three factors of social dysfunction, depression and anxiety and psychosomatic symptom. The social dysfunction factor was statistically significant in both age and resident area variables. The depression and anxiety factor was statistically significant in the residents' area, age, sex variables. The psychosomatic symptom factor was statistically significant in both age and sex variables. The study suggested that they should give a special attention to solve the old people's stress because stress was closely related to residents' age.

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A Study on the modeling of Family Life Cycle in Korean Urban Family (한국도시가족의 가족생활주기 모형 설정에 관한 연구)

  • 유영주
    • Journal of Families and Better Life
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    • v.2 no.1
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    • pp.111-129
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    • 1984
  • The purpose of this study is to make a model of Family Life Cycle in Korea now. Answers to a questionnaire were collected from 724 housewives in Seoul area, 232 housewives in big cities, 203 housewives in small cities. The questionnaire contained 10 items about family situations,. Analyzing method employed for modeling to family life cycle are frequency, percentage, X2 -test . Results and findings are as follows; 1) The mean of first marriage age is 22.4yrs old. 23.5yrs old is the result of statistical materials published by E.P.B. 1975. The age of first marriage is higher according to the age, education & residential area. 2) The mean of first baby bearing age is 24.2 yrs old (generally 1 year after marriage). This age is the same as the result of statistical materials published by E.P.B. 3) the mean of last baby berating age is 32.6 yrs old compared to the E.P.B. statistical materials 3 yrs. low. This age is very different according to the age, education & residential area. 4) The mean of first child marriage age is 46.4 yrs old compared to the E.P.B. statistical materials 2.5 yrs old low. 5) the mean of last marriage age is 52.7 yrs old. this age is also 2.3 yrs low compared to the result of E.P.B. materials. 6) The number of child & interval is quite different according to the result of family planning generation of not. 7)According to the wife's employment, it does not show and difference. 8)The result of analyzing by F.L.C.,, we don't have launching stage & middle age stage apparently. So, we can make model of F.L.C. in Korea as follows (it will be change). 1) Establishment stage; from marriage to first baby born (23yrs old -24yrs old). 2) Child bearing & rearing stage; form first baby born to first child enter primary school(24 yrs old-30 yrs old). 3) Families with children's education stage; from first child primary school to high school graduation (30 yrs old-42yrs old) 4)Families with adult children stage; form first child got army college or stay at home(42 yrs- 48 yrs old). 5)Families with children's marriage stage; from first child marriage to last child marriage (48yrs old-57yrs old). 6) Aging stage; from last child marriage to self dying.

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The Influence of COVID-19 on Physical Activity, Sleep Quality, and the Quality of Life in Adults by Age Group

  • Kim, Tae-Yeon;Choi, Sil-Ah
    • The Journal of Korean Physical Therapy
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    • v.34 no.1
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    • pp.18-25
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    • 2022
  • Purpose: The purpose of this study was to identify changes in physical activity, sleep quality, and quality of life (QOL) during COVID-19 in adults by age group. Methods: An online survey was conducted on a total of 160 participants who were divided into three groups by age; young adults, middle-aged adults, and old adults. The participants responded to the self-reported assessment of the impact of social distancing during COVID-19, International Physical Activity Questionnaire (IPAQ), Pittsburgh Sleep Quality Index (PSQI), and Short Form-36 Health Survey (SF36). Descriptive statistics, analysis of variance, and Pearson's correlation were used for data analysis. Results: There were significant differences between the three age groups in physical activity (p<0.05) and PSQI (p<0.01) and a post hoc analysis showed that the young adults' group had significantly higher physical activity than the old adults' group, while the old adults' group had significantly lower scores of PSQI (better sleep quality) than the others. The young adults' group showed a significant negative correlation between the stress from social distancing and QOL (r=-0.27, p<0.05) and between PSQI and QOL (r=-0.48, p<0.05). For the middle-aged adults' group, there was a significant negative correlation between PSQI and QOL (r=-0.53, p<0.05). The old adults' group showed a significant negative correlation between the stress from social distancing and physical activity (r=-0.35, p<0.05) and PSQI (r=-0.50, p<0.05), while there was a significant positive correlation between physical activity and PSQI (r=0.30, p<0.05) and QOL (r=0.30, p<0.05). Conclusion: The results of this study could be used as basic data for the promotion of physical and mental health in the post-COVID-19 era.

A Study 2nd Proposal on the Sizing System for Middle-School Girls' Clothing (여중생의 기성복 치수적합성과 치수체계에 관한 연구)

  • Kim Nok-Yeon;Choi Hei-Sun
    • Journal of the Korean Society of Costume
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    • v.55 no.6 s.96
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    • pp.67-81
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    • 2005
  • The purpose of this study is to evaluate a sizing system of ready-to-wear clothes for middle-school girls. Results of the study are as follows. 1. Results of the survey revealed most middle-school girls preferred garments for women like unisex-casual and young-casual, and prioritized overall style and design over sizing issues. However, when they purchased clothes, they were dissatisfied with the poor fit of ready-to-wear clothing, which is a little too big for average middle-school girls. 2. There is a difference between a brand's target age and its average consumer age. $96.7\%$, of respondents purchased clothes from unisex-casual and young-casual brands, which sizes did not fit for them. Most of these brands had female adults ages 18 to 24 as their targets, whose somatotypes do not correspond with those of girls 12 to 15 years old. 3. Body measurements of those in age groups from 12 to 15 and from 10 to 24 were analyzed to identify physical differences between middle-school girls and female adults, which confirmed the relevance of different sizing systems for each age group. As a result, it is undesirable that middle school girls' clothes are designed in accordance with sizing system for female adults' garments. 4. Using the two-wav distribution of middle school girls' stature-bust circumference for upper garments, and stature-waist circumference for lower garments, this study establishes a sizing system in sections of high frequency. The size intervals of stature and circumference were 5cm and 3cm respectively.

Classification of Upper Body Somatotypes according to the Age Group : Using 3D-Body Scan Data

  • Na, Hyun-Shin
    • International Journal of Costume and Fashion
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    • v.5 no.1
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    • pp.1-13
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    • 2005
  • Two hundreds of female aged 19 years old and up were recruited to evaluate the postural changes and bilateral variation of asymmetry over age. To find out the differences among the age group, subjects were classified into 5 groups, early young age(19-29), late young age(30-39), early middle age(40-49), late middle age(50-59), and old age(60-). 35 body measurements were taken by the 3-D body scanner which allowed us to take measurements which cannot be measured using traditional methods, including the shape of a cross section, slice area surface are, and volume. Bilateral variations were observed as a function of age; Depth of scapular point level, scapular point to center back, and blade angle. Postural change of anterior cervical angle, upper anterior thoracic angle, upper posterior thoracic angle, posterior cervical angle, and center back/center front ratio were also exhibited. In each measurements, subjects were classified into normal, and abnormal group. Percentiles of abnormal in shoulder line angle, blade angle, neck point $\∼$ acromial point $\∼$ scapular point, posterior cervical angle, and upper posterior thoracic angle were increased over age group. The upper body of lateral view was classified into 3 types of posture based on the previous research; straight, erect(leaning back), and stooped(bent forward). The percentiles of subjects who have straight postures were decreased as a function of age, but those of stooped postures were increased. Subjects who have erect postures did not so. The stooped posture group shows the big cervical fossa angle, anterior cervical angle, posterior cervical angle, upper posterior thoracic angle, and the small upper anterior thoracic angle comparing to the straight and erect posture group. These results could be apply for clothing construction reflecting the changes in back, shoulder, neck, and the bilateral asymmetry according to the target age group.

A Study on the Somato type of Middle-aged Women -House wives between 40s and 55s- (중년 여성의 체형에 관한 연구 -40~55세 주부를 중심으로-)

  • 심정희;성옥상
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.1
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    • pp.128-141
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    • 1996
  • The pourpose of this study is to determine the exact size which can be the basic elements of the fashion design with the measurement of middle-aged women's body, and to grasp the peculiar tomato type of the middle-aged women by compacting each measurement and examing the change of body shape. Making 215 house wives about 40 to 55 years old the subject of this research, we measured the body size from June to August, 1994. After analyzing the data through the 43 item.; of the body measurement, grasping the characteristics of the tomato type, we classified three types of physical standard and looked into the element of body structure. The results were as follows; 1. The average Rohrer index of middle-aged women in Tas-gu is about 1.5 and they usually seem to be fat compared with other groups. 2. Age has much influence on the body change of middle-aged women. Especially around 45 years old, the body change showed remarkable. 3. When analyzing the elements of the body measurement, the biggest elements of middle -aged women's body structure are in the items of width, thickness and girth related to the expansion of body line. Therefore in the middle age, the thickness and the girth have more influence on the human body than the height and the length, so the items of thickness and girth is the most important factor in the somato type. 4. In the slim body and standard body, the thirst factor is the items of height and length related to vertical size and the second is the items of width and thickness and girth. In ice fat body the first factor is the items of width, thickness, girth and the second is those of height, length. Unlike other body shapes, the fat body has many factors, which shows that the fat body has much variation in each part in proportion to fatness.

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