• Journal of Oral Medicine and Pain
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• v.19 no.2
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• pp.221-231
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• 1994

Age determination in children have been criticized because they rely on subjective estimations of tooth development, as seen in radiographs. This study was undertaken to obtain the objective estimation of developing teeth. The panoramic radiograph of 254 males and 254 females ranging from 6 to 14 years of age were studied. The structures measured were crown height, apex width and root length. The data weree statistically investigated with SPSS/PC + package. The results were as follows : 1. With the aid of a multiple regression model, a linear relationship between some of these distances and age was shown. 2. In th total material(6-14yr) and four-yr. intervals, linear equations are as follow : Boys : 6-14 age = 683 + 145.6 44RL + 126.6.45RL + 71.1 46DRL - 161.3 46DAW 6-10 age = 1202 + 72.6 46DRL + 100.2 44RL + 75.1 45RL 8-12 age = 3818 + 75.9 45RL - 190.9 44AW 10-14 age = 4151 + 58.6 45RL - 84.0 45AW - 130.6 44AW Girls : 6-14 age = 1587 + 104.9 45RL + 113.4 44RL - 233.1 46DAW + 81.4 47DRL - 255.9 46MAW 6-10 age = 1821 + 55.8 46DRL + 67.2 45RL - 184.2 46MAW + 56.3 44RL 8-12 age = 2435 + 68.2 45RLL + 71.3 44RL 10-14 age = 3485 + 49.9 47DRL - 51.3 45AW - 179.9 47DAW + 33.4 45RL + 39.4 44RL (DRL, length of distal root in molars. RL, root length in premolars. DAW, width of distal apex in molars. MAW, width of mesial apex in molars. AW, width of apex n molars)

• The Journal of Pediatrics of Korean Medicine
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• v.22 no.2
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• pp.155-170
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• 2008

Objectives : The purpose of this study was to have better data and to make efficient clinical reviews about children's growth based on two methods; X-ray of hand, and ultrasound of calcaneus. Methods : The study was composed of 100 patients(50 of boys and 50 of girls) who visited in department of pediatrics, O O university oriental hospital considering growth and their development. Bone age was measured by the TW3 method's RUS score in simple X-ray image of hand and bone density through ultrasonic image of calcaneus. To predict children's estimated height, their parent's height, bone age, and present height's percentile was measured. Results and Conclusions : 1. The bone age results from X-ray image of hand and ultrasonic image of calcaneus were correlated. Younger children have older bone age from hand's X-ray than the one from calcaneus's ultrasound. Older children have older bone age from calcaneus's ultrasound than one from hand's X-ray. 2. Predicted adult height by bone age(BH) of hand's X-ray and BH of calcaneus's ultrasound were correlated, but predicted adult height by inheritance(IH) was not correlated with others. 3. Bone age and predicted adult height were correlated with age, height, weight, BMI, and especially with age and height. 4. Measuring bone age by X-ray image of hand and ultrasonic image of calcaneus was simple and effective way of estimating children's growth and development.

• 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.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.5-10
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• 2016

Breast cancer, the second cause of cancer-related death after lung cancer and the most common cancer in women after skin cancer, is curable if detected in early stages of clinical presentation. Knowledge as to any age cut-off points which might have significance for prognostic groups is important in screening and treatment planning. Therefore, determining a change-point could improve resource allocation. This study aimed to determine if a change point for survival might exist in the age of breast cancer diagnosis. This study included 568 cases of breast cancer that were registered in Breast Cancer Research Center, Tehran, Iran, during the period 1986-2006 and were followed up to 2012. In the presence of curable cases of breast cancer, a change point in the age of breast cancer diagnosis was estimated using a mixture survival cure model. The data were analyzed using SPSS (versions 20) and R (version 2.15.0) software. The results revealed that a change point in the age of breast cancer diagnosis was at 50 years age. Based on our estimation, 35% of the patients diagnosed with breast cancer at age less than or equal to 50 years of age were cured while the figure was 57% for those diagnosed after 50 years of age. Those in the older age group had better survival compared to their younger counterparts during 12 years of follow up. Our results suggest that it is better to estimate change points in age for cancers which are curable in early stages using survival cure models, and that the cure rate would increase with timely screening for breast cancer.

• Journal of Oral Medicine and Pain
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• v.24 no.1
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• pp.95-106
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• 1999

This study was performed to investigate the age distribution with tooth calcification and degree of eruption of permanent teeth. For the study, healthy 184 patients from 5 to 19 years old without any previous serious dental treatment were randomly selected, and intraoral standard films and dental casts were taken for evaluation of stage of calcification and degree of eruption, respectively. Tooth calcification of 13 stages, designed by the author based on the Nolla's classification and eruption level of 4 or 5 degree was used. Data were processed by SAS/Stat program and the obtained results were as follows; 1. The age of root completed with open apex in lower posterior teeth were 13.8 years for first premolar, 14.0 years for second premolar, 10.5 years for first molar, and 14.2 years for second molar. There were no significant difference between right and left side. 2. As for the sequence of eruption, first molar was the first teeth erupted in upper arch, while central incisor was the first teeth in lower arch. In general, eruption of lower teeth were slightly earlier than the corresponding teeth of upper arch. 3. There were no difference of age of the same stage of development between Nolla's and the author's classification. From the results, the author's classification can be used for estimation of age with more finely in age of 8 to 15 years old. 4. Multiple regression equations for age with Nolla's(Ns) and the author's(Ks) classification of tooth calcification, and degree of eruption(DE) were as follow; Age(by #34) = 7.55 + 0.76Ks34 + 0.80DE34 - 0.72Ns34 Age(by #35) = 7.10 + 0.81Ks35 + 0.6IDE35 Age(by #37) = 6.61 + 0.82Ks37 + 0.5IDE37. Age(by #44) = 7.02 + 0.62Ks44 + 0.82DE44 Age(by #45) = 8.04 + 0.93Ks45 + 0.64DE45 - 0.89Ns45 Age(by #47) = 6.40 + 0.86Ks47 + 0.56DE47.

• Korean Journal of Community Nutrition
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• v.21 no.6
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• pp.558-573
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• 2016

Objectives: The purpose of this study was to evaluate the main sources of dietary sodium and potassium intake in Koreans by gender, age and regions. Methods: We used the data from 2010-2012 KNHANES. A total of 20,387 subjects aged 8 years and older were included. Intakes were compared by gender, age (8-18, 19-49 and >50 years) and geographical regions in Korea. Dishes were classified into 28 dish groups based on cooking methods. Statistical analysis was performed by using the SAS 9.3 and SUDAAN 11.0.1 software. Results: The mean sodium intake of Koreans was $4866.5{\pm}35.9mg/day$, which was 2.4 times higher than the adequate intake (AI) of sodium for Koreans. We found that daily sodium intakes were significantly different by age, gender and regions. Men and aged over 50 years had significantly higher sodium intake than women and other age groups. The mean potassium intake in Koreans was $3002.2{\pm}19.4mg/day$ and daily potassium intakes were significantly different by age, gender and regions. Women and age 50 years and over had significantly higher potassium intakes than men and other age groups. The average Na/K ratio was $2.89{\pm}0.01$ and was highest in men and in the age group of 19-49 years. The major sources of dietary sodium were soup and stew, followed by Kimchi, noodles and dumpling, pickled vegetables and seasonings, which represented 63.1 % of total sodium intakes. Soup and stew or Kimchi were the primary sources of dietary sodium intake. The major sources of dietary potassium were cooked rice, followed by soup and stew, Kimchi, fruits and beverages. Conclusions: Sodium and potassium intakes and the major sources of those were significantly different by gender, age groups and regions. Therefore, different approaches based on gender, age and regions are needed to decrease sodium intake and increase potassium intake.

• Journal of the East Asian Society of Dietary Life
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• v.25 no.2
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• pp.246-260
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• 2015

The purpose of this study was to evaluate the prevalence of obesity, dietary habits, and nutritional status by age among low-income women, using data from the fourth Korea National Health and Nutrition Examination Survey (2007~2009). Subjects were 8,356 women aged 20 and over. The subjects were classified into four groups by age. Dietary data from 24-hr recall methods were used to analyze nutritional status. The prevalence of obesity in the 50~64 years age group was significantly higher than those of the other age groups. Among age groups, malnutrition was the highest in the 65-and-over age group. It appears that women in the 20~29 and 65-and-over age groups were the highest nutritional risk. The percentage of carbohydrates in total energy intake was higher and the percentages of protein and fat were lower in the 65-and-over age group than other groups. Frequency of skipping breakfast was lower in women aged 65-and-over, and moderate physical activity significantly decreased with increasing age. Awareness of dietary guidelines was higher in women aged 30~49 years than other groups, whereas it was lower in those aged 65-and-over years. Adherence to dietary guidelines of 'eating a variety of foods from each food group' was significantly lower in women aged 65-and-over years than those of other groups. However adherence to dietary guidelines of 'eating breakfast everyday with a pleasant mind' was significantly lower in women aged 20~29 years than those of other groups. Therefore, this study shows that low income women have various nutritional problems by age group, and we should support a tailored approach to improve their nutritional status.

• Fashion & Textile Research Journal
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• v.12 no.3
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• pp.310-317
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• 2010

Middle aged women these days not only consider themselves as younger than actual, maintain figures and looks of younger women, but also show a big interest to fashion goods as younger generations. The TV media has a big influence on this trend. This study is conducted to figure out how the TV media involvement of middle aged women affects their difference age, youth-pursuing clothing behavior and fashion leadership. After the survey, a total of 326 questionnaires completed by women of their 40s and 50s were used to this analysis. The results are as follows, 1. The highest cognitive age of middle aged women was the look age, and the lowest was the feel age in the 40s, and the interest age in the 50s. And it was shown that the difference age were 7.05 years for the 40s and 9.10 years for the 50s. 2. The TV media involvement had a significant influence on the difference age as its antecedent. And the TV media involvement affected directly the youth-pursuing clothing behavior and fashion leadership. The higher the TV media involvement was, the higher difference age and fashion leadership were shown. 3. The difference age was shown as mediating the TV media involvement and the youth-pursuing clothing behavior, and the TV media involvement and fashion leadership only partially. 4. The youth-pursuing clothing behaviors were influenced by TV media involvement and difference age. Conclusionally, this study revealed that the TV media had a great influence on middle-aged women's clothing behavior, supporting the cultivation theory of TV media.

• Imaging Science in Dentistry
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• v.46 no.1
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• pp.1-7
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• 2016

Purpose: This study assessed the accuracy of age estimates produced by a regression equation derived from lower third molar development in a Thai population. Materials and Methods: The first part of this study relied on measurements taken from panoramic radiographs of 614 Thai patients aged from 9 to 20. The stage of lower left and right third molar development was observed in each radiograph and a modified Gat score was assigned. Linear regression on this data produced the following equation: Y=9.309+1.673 mG+0.303S (Y=age; mG=modified Gat score; S=sex). In the second part of this study, the predictive accuracy of this equation was evaluated using data from a second set of panoramic radiographs (539 Thai subjects, 9 to 24 years old). Each subject's age was estimated using the above equation and compared against age calculated from a provided date of birth. Estimated and known age data were analyzed using the Pearson correlation coefficient and descriptive statistics. Results: Ages estimated from lower left and lower right third molar development stage were significantly correlated with the known ages (r=0.818, 0.808, respectively, $P{\leq}0.01$). 50% of age estimates in the second part of the study fell within a range of error of ${\pm}1year$, while 75% fell within a range of error of ${\pm}2years$. The study found that the equation tends to estimate age accurately when individuals are 9 to 20 years of age. Conclusion: The equation can be used for age estimation for Thai populations when the individuals are 9 to 20 years of age.

• Annals of Laboratory Medicine
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• v.38 no.6
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• pp.503-511
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• 2018

Background: Sampling a healthy reference population to generate reference intervals (RIs) for complete blood count (CBC) parameters is not common for pediatric and geriatric ages. We established age- and sex-specific RIs for CBC parameters across pediatric, adult, and geriatric ages using secondary data, evaluating patterns of changes in CBC parameters. Methods: The reference population comprised 804,623 health examinees (66,611 aged 3-17 years; 564,280 aged 18-59 years; 173,732 aged 60-99 years), and, we excluded 22,766 examinees after outlier testing. The CBC parameters (red blood cell [RBC], white blood cell [WBC], and platelet parameters) from 781,857 examinees were studied. We determined statistically significant partitions of age and sex, and calculated RIs according to the CLSI C28-A3 guidelines. Results: RBC parameters increased with age until adulthood and decreased with age in males, but increased before puberty and then decreased with age in females. WBC and platelet counts were the highest in early childhood and decreased with age. Sex differences in each age group were noted: WBC count was higher in males than in females during adulthood, but platelet count was higher in females than in males from puberty onwards (P <0.001). Neutrophil count was the lowest in early childhood and increased with age. Lymphocyte count decreased with age after peaking in early childhood. Eosinophil count was the highest in childhood and higher in males than in females. Monocyte count was higher in males than in females (P <0.001). Conclusions: We provide comprehensive age- and sex-specific RIs for CBC parameters, which show dynamic changes with both age and sex.