Little is known about the gender differences in energetic requirements of goats in early life. In this study, we determined the energy requirements for maintenance and gain in intact male, castrated male and female Saanen goat kids using the comparative slaughter technique and provide new data on their body composition and energy efficiency. To determine the energy requirements for maintenance, we studied 21 intact males, 15 castrated males and 18 females ($5.0{\pm}0.1kg$ initial body weight (BW) and $23{\pm}5d$ of age) using a split-plot design with the following main factors: three genders (intact males, castrated males, and females) and three dry matter intake levels (ad libitum, 75% and 50% of ad libitum intake). A slaughter group included three kids, one for each nutritional plane, of each gender, and all three animals within a group were slaughtered when the ad libitum kid reached 15 kg in BW. Net energy requirements for gain were obtained for 17 intact males, eight castrated males and 15 females ($5.1{\pm}0.4kg$ BW and $23{\pm}13d$ of age). Animals were fed ad libitum and slaughtered when they reached 5, 10, and 15 kg in BW. A digestion trial was performed with nine kids of each gender to determine digestible energy, metabolizable energy and energy metabolizability of the diet. Our results show no effect of gender on the energy requirements for maintenance and gain, and overall net energy for maintenance was $205.6kJ/kg^{0.75}$ empty body weight gain (EBW) ($170.3kJ/kg^{0.75}$ BW) from 5 to 15 kg BW. Metabolizable energy for maintenance was calculated by iteration, assuming heat production equal to metabolizable energy intake at maintenance, and the result was $294.34kJ/kg^{0.75}$ EBW and $k_m$ of 0.70. As BW increased from 5 to 15 kg for all genders, the net energy required for gain increased from 9.5 to 12.0 kJ/g EBW gain (EWG), and assuming $k_g=0.47$, metabolizable energy for gain ranged from 20.2 to 25.5 kJ/g EWG. Our results indicate that it is not necessary to formulate diets with different energetic content for intact male, castrated male and female Saanen goat kids weighing from 5 to 15 kg.
Objectives: This study was performed to investigate health-related factors, nutrition knowledge and food habits of college students in Wonju. Methods: A total of 442 (male: 221, female: 221) college students were recruited and a questionnaire-based survey was conducted. The general characteristics, health-related factors, nutrition knowledge, and food habits were investigated and data were analyzed using SPSS WIN (ver 21.0). Results: The body mass index ($22.9kg/m^2$ vs $20.9kg/m^2$, p < 0.001) was significantly higher in the males. The ratio of weight (p < 0.001) was significantly different between males and females. Health-related factor scores 'Exercise (p < 0.001)', 'Number of exercise (p < 0.001)', 'Times of exercise (p < 0.01)', 'Concerns about health (p < 0.05)', 'Health condition (p < 0.001)' were significantly higher in the males. 'Type of exercise (p < 0.001)' was significantly different between males and females. Score on 'Watching TV & computer games (p < 0.01)' was significantly higher in the females. Smoking (p < 0.001) was significantly higher in the males. Type of beverages consumed (p < 0.001) was significantly different between males and females. Nutrition knowledge score (11.8 vs 12.9, p < 0.05) was significantly higher in the females. Scores on 'Iron deficiency is leading to anemia (p < 0.01)' and 'carbonated beverages, such as coke, have no calorie (p< 0.05)' were significantly higher in the females. Food habits score (56.4 vs 53.7, p < 0.01) was significantly higher in the males. Scores on 'I have three meals a day (p < 0.01)', 'I have breakfast regularly (p < 0.001)', 'I have meals on time (p < 0.001)', 'I do exercise every day (p < 0.001)', 'I don't eat junk food often (p < 0.05)', 'I don't eat sweet food often (p < 0.05)', and 'I don't eat out often (p < 0.05)' were significantly higher in the males. Conclusions: Nutritional education for college students is needed in order to improve their health and nutritional education program should be tailored to meet various needs of these students.
In order to examine differential mortality, the life tables for the insured persons in national pension scheme were estimated by sex and types of coverage(the insured in workplaces vs. the insured in rural areas). The averages of 1994-1996 data are used for insured in workplaces, but 1996 data are used for insured in rural areas. Life expectancies at the age of 18 are 59.5 years and 67.2 years each for insured males and females and thus 7.7 years longer for females than males in workplaces. Sex difference in mortality reduces as age increases, and more rapidly at younger ages than old ages. For insured in rural areas, life expectancies at the age of 18 are 51.4 years and 61.1 years each for insured males and females and thus sex difference is 9.7 years. The greater sex difference in mortality in rural areas can be explained by sex selective migration. The difference of life expectancy between insured in workplaces and insured in rural areas is 8.1 years for males, and 6.1 years for females. Because rural-urban difference in educational attainment is greater for males than females, the greater difference in life expectancy is observed for males than females.
In order to examine differential mortality, the life tables for the insured persons in national pension scheme were estimated by sex and types of coverage(the insured in workplaces vs. the insured in rural areas). The averages of 1994-1996 data are used for insured in workplaces, but 1996 data are used for insured in rural areas. Life expectancies at the age of 18 are 59.5 years and 67.2 years each for insured males and females and thus 7.7 years longer for females than males in workplaces. Sex difference in mortality reduces as age increases, and more rapidly at younger ages than old ages. For insured in rural areas, life expectancies at the age of 18 are 51.4 years and 61.1 years each for insured males and females and thus sex difference is 9.7 years. The greater sex difference in mortality in rural areas can be explained by sex selective migration. The difference of life expectancy between insured in workplaces and insured in rural areas is 8.1 years for males, and 6.1 years for females. Because rural-urban difference in educational attainment is greater for males than females, the greater difference in life expectancy is observed for males than females.
Background: Cystic fibrosis (CF) is an autosomal recessive disorder with several clinical presentations. This study was undertaken in the Azeri Turkish population in Iran, to investigate gender differences in the age at onset and diagnosis, age of death, and duration of illness of CF. Methods: The data of 331 CF patients from 2001 to 2015 was surveyed. Parameters including age, sex, ${\Delta}F508$ mutation, age at onset, age at diagnosis, age of death and clinical presentations were evaluated for both sexes, using descriptive analysis. The association of gender with these variables was studied using logistic regression, chi-square test and Mann-Whitney U test by SPSS version 18. Odds ratio with a confidence interval of 95% and $p{\leq}0.05$ was considered statistically significant. Results: The study included 191 males (57.7%) and 140 females (42.3%), all showing statistically significant difference (p<0.001). Age duration differed between genders. Male and female patients were further under 9 and 4 years, respectively. The occurrence of ${\Delta}F508$ mutation was 0.51 times more in females than in males. Age, diagnosis and sex were closely associated: males were diagnosed at a significantly later age than females (p=0.05). While this compression performed based on clinical presentations, males with respiratory disease had a later median age at diagnosis than females at lifespan (p=0.001). The risk of infertility in males was approximately two times greater than in females (p=0.02). Conclusion: These findings indicate gender differences in CF patients. Future studies are needed to establish other differences and evaluate the causes for the gender variations.
Magnetocardiography (MCG) is a device to measure the magnetic field from the heart. It is a noninvasive device and takes only few minutes to record magnetocardiogram from a subject. In this study, we compared the difference of MCG data recorded from 56 normal subjects in early twenties (28 males and 28 females, mean $age=21.0{\pm}1.6$ years) and 36 elderly subjects (20 males and 16 females, mean $age=61.9{\pm}6.9$ years) for the analysis of the age and gender difference. A total of 24 parameters used in the analysis were derived from QRS complex, R-wave, T-wave, and ST-T period. As a result, seven parameters including maximum current angle and map angle showed the significant difference (p<0.01 and p<0.05, respectively) between young males and young females. Significant difference (p<0.05) between elderly males and elderly females was found from a parameter, pole distance at T-wave peak. In the comparison of age difference, seven parameters regarding current moment, pole distance, and dynamics showed the significant difference between young and elderly males. Eight parameters also showed significant difference (p<0.05) between two younger and elderly female groups. Results showed that parameters regarding current moment, pole distance, and dynamics might be changed when people get older. In conclusion, gender and age difference should be considered when MCG data are analyzed for certain parameters.
Park, Seon-Joo;Lee, Hae-Jeung;Kim, Jung-Hee;Kim, Cho-Il;Chang, Kyung-Ja;Yim, Kyeong-Sook;Kim, Kyungwon;Park, Haymie
Journal of Community Nutrition
/
v.4
no.1
/
pp.29-37
/
2002
This study was designed to assess diet and health-related factors of older adults in Korea. Subjects females were 2,660 adults aged 50 and over living in Korea. Males were 847 persons and were 1813 persons. The mean weight and height for males and females were 63.8 $\pm$ 0.3kg / 164.0 $\pm$ 0.2cm and 57.0 $\pm$ 0.2kg /150.6 $\pm$ 0.1cm respectively. BMI (body mass index), body fat, and percent fat were significantly greater in females than in males. The muscle mass and body water were significantly greater in males than in females. Twenty-one percent of total subjects lived alone and 26% with spouse only. Most of the subject's self-reported income was in middle level (65%) or low level (24%). Proportion of subjects who answered 'very poor' or 'poor' on perceived health status was higher in older group. The 50-64 years old group was facing more stress than 65yr and over group. Among male subjects,38.4% were current-smokers and 22.0% were ex-smokers. But only 6.5% of female subjects were current-smokers. Males turned out to have better dietary habits-meal frequency per day, mealtime regularity, regular meal size and balanced eating-than females (p < 0.001). This study revealed that the diet and health-related factors affect nutritional status and chronic diseases of the elderly. For better management and evaluation of health status of the elderly, more effective nutritional assessment tools should be developed.
The purpose of this study was to determine whether gender differences existed in knee valgus kinematics in college students when performing a vertical drop landing. The hypothesis of this study was that females would demonstrate greater knee valgus motion. These differences in knee valgus motion may be indicative of decreased dynamic knee joint control in females. This study compared the initial knee valgus angle and maximum knee valgus angle at the instant of impact on vertical drop landings between healthy men and women. In this study, 60 participants (30 males, 30 females) dropped from a height of 43 cm. A digital camera and two-dimensional video motion analysis software were used to analyze the kinematic data. There was significant difference in the mean knee valgus angle at initial contact landing between the two groups (Mean=$7.88^{\circ}$, SD=$4.24^{\circ}$ in males, Mean=$12.93^{\circ}$, SD=$2.89^{\circ}$ in females). The range of knee valgus angle on landing (Mean=$3.25^{\circ}$, SD=$5.72^{\circ}$ in males, Mean=$11.44^{\circ}$, SD=$6.39^{\circ}$ in females) was differed significantly (p<.05). The maximal angle of knee valgus on landing (Mean=$10.91^{\circ}$, SD=$6.89^{\circ}$ in males, Mean=$24.25^{\circ}$, SD=$6.38^{\circ}$ in females) was also differed significantly (p<.05). The females landed with a larger range of knee valgus motion than the males and this might have increased the likelihood of a knee injury. The absence of dynamic knee joint stability may be responsible for increased rates of knee injury in females. No method for accurate and practical screening and identification of athletes at increased risk of ACL injury is currently available to target those individuals that would benefit from neuromuscular training before sports participation.
The purposes of this study were to determine what factors influence risk perceptions of females and males for milk produced using food-related biotechnology, to test whether risk perceptions or other factors influence self-protection actions and to estimate milk demand response in light of self-protection actions and other economic and demographic factors. The expected utility model was applied to explain the way consumers would take self-protection actions regarding risk perceptions and to drive milk demand. Telephone interviews were conducted and the data were collected from households(females=1,029, males=437) nationwide in the U.S. And the data were analyzed by Heckman two-step method using the software package LIMDEP. Risk perceptions were found to be influenced not by demographic factors but by outrage factors as well as attitudinal factors in both females and males, although some factors were different. In addition, risk perceptions and labeling availability were found to significantly influence self-protection actions in both groups. Furthermore, as an important concern in this study, self-protection action was found to significantly influence milk demand in only male group, implying a consistent behavior of males. Also milk price and household size were found to significantly influence milk demand in both groups. In fact, the results did demonstrate that labeling availability significantly influenced self-protection actions. That is, in markets where labeled laternatives were present, concerned consumers were more likely to self protect by substituting to these products. A policy implication of this result is that labeling food products produced using biotechnology enhances consumer choice. Hence, consumer could express a more accurate demand response and reduce the perceived food safety risk. Furthermore, education for females might be necessary to have a consistent behavior because self-protection action did not significantly influence female's milk demand, though they have greater risk perceptions than males have.
This study aims to explore the diverse characteristics of obese groups of Korean males in their 20's to 40's. A total of 201 males who each had a BMI (Body Mass Index) of 23 or over were recruited through a convenient sampling. Samples were categorized into groups of overweight, slightly obese, and severely obese, and submitted for data analysis. Results are summarized as follows. First, in terms of demographic characteristics, slightly and severely obese males were older than overweight males. There were also group differences in marital status and household income. Second, slightly and severely obese groups demonstrated a higher perception of obesity and a lower perception of health than did the overweight group. Third, there were no group differences in body satisfaction, socio-cultural attitudes toward appearance, and self-esteem. Based on these results, we concluded that overweight, slightly obese, and severely obese groups were distinguishable from each other in terms of their demographic characteristics, whereas the slightly obese group and the severely obese group were not different in terms of perception of obesity, perception of health, weight control behaviors, body satisfaction, body image, socio-cultural attitudes toward appearance, and self-esteem. These findings may reflect that people may not become increasingly sensitive to socio-psychological stimulations as they gain more weight if they have exceeded a certain level of obesity. This observation provides meaningful implications for the differences among obesity groups given the lack of prior research focusing on this issue.
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