Dieting behaviors prevail among most women and are highly increasing among female adolescents who don't have to lose weight. The dieting behaviors of normal or low weight groups are highly related to the negative impact of health risk behaviors. We need a strategy for intervening in the dieting behaviors of relevant groups. With this background, a study was conducted to examine the current situation of dieting behaviors and related factors in middle school girls, and to provide guidelines for the relevant dieting group. This survey was carried out by self-questionnaires passed out to 901 middle school girls from 3 middle schools in Seoul. Data were collected from April 10th, 2000 to April 17th, 2000 and 794 respondents' data were finally selected for analysis. The instruments of this study were Shin's scale for effects of mass-media, Birleson's depression self-rating scale translated by shim, Rosenberg's self-esteem scale, Smilkstein's Family APGAR score translated by Yoon, Kim's school-related adjustment scale. The credibility of instruments was 0.41~0.83 in the pilot study and 0.70~0.86 in the main study. The summary of results was as follows: 1. The general characteristics of respondents were analyzed. In comparison of grade and dieting behaviors, the subjects of the group perceived that their body image was obeser than their real body image and their ideal body image was slenderer than their current body image. A dieter's body image was seriously distorted. 2. The dieting behaviors were analyzed. The Subjects' BMI was within the normal to low range -- they didn't have to lose weight. But actually 47.3% of the respondents were dieters. Their main dieting methods were exercise(71.8%), computer games(64.9%) such as DDR and pump, and intake reduction(64.1%). Most dieters were using desirable methods such as exercise and intake control. But unhealthy methods such as saunax, smoking and harmful drug-use were also used by a few dieters. The main reason for dieting was attractiveness. The chief resources of dieting methods were mass-media(67.8%), friends(64.3%), and parents & relatives(35.1%). Only a few subjects obtained the information from health professionals. While they were trying to lose weight, 42.1% of the subjects experienced side effects such as dizziness(45.0%), apathy(20.5%), appetite loss(18.5%), amenorrhea and the irregularity of the menstrual cycle(16.6%). 3. The relationship between dieting behaviors and factors was analyzed. Dieting behaviors were significantly related to the experience of menarche, the experience of dating with heterosexuals, perceived body image, self-esteem, depression, family's relationship, school instruction-related adjustment, school life-related adjustment, and the effect of mass-media. After that, the multiple logistic regression was used. The analysis revealed that dating, perceived body image, the experience of menarche and the effect of mass media were significant factors. In conclusion, strategies for preventing irrelevant dieting behaviors are urgently required to enhance female adolescents' ability to choose the right information from countless others and to recognize their optimum body image.
This study was performed fir the purpose of finding the relationship between fat-free mass (FFM) which mainly represents muscle mass change, and muscle strength. The correlation between diet and exercise behaviors and FFM in healthy elderly men over age 55 was also investigated. FFM and corresponding hand grip strength declined significantly with increasing age. However the concentration of serum albumin, the indicator of protein nutritional status, showed no change with increases in age. The subjects were categorized into three groups according to FFM textiles. Anthropometry such as height, BMI, circumferences of waist and hips, body fat mass percent and hand grip strength decreased significantly in the lowest FFM group. But albumin level showed no change relative to FFM level. FFM showed a significant relationship to nutrient intake such as energy and fat. However, no association was found with exercise behavior probably because there were no instances of resistance exercise habits among the subjects studied. The variance in FFM could be attributed 86.2% to height and age. The variance of height-adjusted FFM could be attributed only 40.6% to age and fat intake. In conclusion decreases in FFM may cause reductions in muscle strength in elderly men. Increasing energy and fat intake were associated with increased FFM and may protect elderly men from the risk of sarcopenia. FFM had no association with endurance exercise habits.
This study was performed to show change of fat-free mass(FFM), representing mostly the muscle mass change, and muscle strength with increasing age, and relationship between dietary, exercise behaviors and FFM in healthy middle-and old aged women who are of age over 55 years. The FFM and correspondingly hand grip strength showed significant positive correlation with age. But concentration of serum albumin showed no significant relationship with age. The subjects were categorized into groups according to FFM tertile. The anthropometry such as weight, BMI, fat mass, circumferences of waist and hip, WHR, and hand grip strength decreased significantly in the lowest FFM group. But the albumin level showed no change according to FFM level. The FFM showed significant correlation with nutrient intakes such as energy, carbohydrate, protein, Fe, P, Ca. No association, however, was shown with exercise behavior probably because of no case with resistance exercise habits. The variance of FFM was explained 55.2% by height and carbohydrate intake. The variance of height-adjusted FFM could be explained only 16.2% by intake amount of carbohydrate. In conclusion, the decrease of FFM may cause to reduce muscle strength in female elderly. The increasing nutrient intakes were associated with the increased FFM and may protect from risk of sarcopenia. However, only the carbohydrate intake could influence independently the FFM in middle- and old-aged women. The FFM has no association with endurance exercise habits. (Korean J Nutrition 34(4) : 449∼457, 2001)
The linear regression method was used to model the relationship among a set of perceptions regarding to the importance of physical exercise and the perceived value of physical exercise (as a leisure activity) for aging baby boomers. In terms of a pilot study, we developed two alternative models tested at two different convenience samples. The first sample consisted of 82 aging baby boomers aged 55.65 (sample 1) and the second one consisted of 458 citizens aged 18.45 (sample 2). Through this research approach, we intended to lead to a better understanding of perceived value of physical exercise in the sporting goods marketing context for aging baby boomers. We addressed the core research themes of our study using a convenience survey. Data was collected by means of face to face interviews during the seven week period. The research results showed that the "model 2" better predicts perceived value of physical exercise as a leisure activity for aging baby boomers. We believe that the final findings of our research try can recognize the differences in buying behaviors between aging baby boomers and other target markets and advance marketers of sporting goods strategic tries regarding to consumer strategy management at a store level.
Purpose: The purpose of the study was to examine the level and correlation of compliance and barriers to self-care behavior in patients with type 2 diabetes. Methods: The participants for this study were 122 patients with type 2 diabetes enrolled in the out-patient clinic of C national general hospital. Data collection was done by self-report questionnaires. Results: The mean score of the patients with type 2 diabetes for self-care behavior was higher than average level. Level of barriers to exercise was also higher than average, and higher than other barriers of diet and medication; There were low but significant correlations between self-care behavior and barriers to diet, exercise and medication; Variance in barriers to exercise, using alcohol, regular hospital visits, medical treatment and good foot care explained 29.6% of the variance in self-care behavior. Conclusion: According to the study, the self-care behavior of medication and barriers to exercise were the highest. Barriers to exercise highly influenced self-care behavior. Barriers to diet and exercise were significantly correlated the self-care behavior. Further study or interventions are necessary to decrease barriers in patients with type 2 diabetes.
Journal of Korean Academy of Fundamentals of Nursing
/
v.22
no.1
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pp.59-68
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2015
Purpose: This study was conducted to investigate factors influencing preventive health behaviors in undergraduates, including knowledge about, and attitudes to cancer. Methods: The participants were 219 undergraduates in H, and C Universities in G City, and K University in S City. Data were collected from April 1 to June 30, 2014, and analyzed using SPSS/WIN 21.0. Results: The mean score for knowledge about cancer was 18.70. The mean score for attitude to cancer was 3.19, and the mean score for preventive health behaviors was 3.12. Knowledge about cancer showed a positive correlation with attitude to cancer and a positive correlation with preventive health behaviors. Attitude to cancer showed a positive correlation with preventive health behaviors. Significant factors that influenced preventive health behaviors for cancer were attitudes to cancer, age, worries about cancer, smoking, and regular exercise. These variables explained 43.5% of preventive health behaviors for cancer. Conclusion: Findings of this study indicate that programs to enhance positive attitudes to cancer prevention should be developed to increase preventive health behaviors in undergraduates and that further study should be done on the effects of such programs.
Purpose: The purpose of this study was to investigate the relation between perceived health status and health-promoting behaviors in female college students. Method: Data were collected from December 10 to 31. 2007. In 160 female college students, perceived health status was measured using the Medical Outcomes Short-Form Health Survey (SF-36), and health-promoting behaviors using the Health Promoting Lifestyle Profile (HPLP). Results: The major findings of this study were as follows: 1) The mean scores of the level of health promoting behaviors, physical health status, and mental health status were 2.44 (SD=0.39), 51.9 (SD=8.03), and 42.56 (SD=10.77), respectively. 2) Health-promoting behaviors were correlate with physical health status (r=-.361) and mental health status (r=.498). 3) Health-promoting behaviors were significantly associated with allowance and mental health in capability, which explained 28.9% of variance in health-promoting behaviors. Conclusion: The results suggest that it is necessary to strengthen female college students' practice of exercise and responsibility for health in order to improve their health promotion behaviors. Also, the results of this study give useful information for designing interventions and program development for female college students' appropriate health promoting life.
The purpose of this study was to 1) explore the effectiveness of a college-level self-management (SM) course in improving a target behavior and reducing impulsivity, 2) investigate improvements in other non-target self-control behaviors(generalization of self-control), and 3) determine whether change in impulsivity could predict the generalization of self-control. A total of 128 College students who took the SM course were included. Participants completed the computerized delay-discounting task, self-report impulsiveness scale, and general self-control behavior questionnaire at the beginning and end of the course. After participants had defined their target behaviors, they self-monitored and recorded their behaviors everyday throughout the course. Results revealed that 63% of the participants successfully changed their target behaviors after the course. Although differing depending on the type of target behavior, thoes who successfully changed their target behaviors reported decreases in impulsivity and increases in other self-control behaviors such as physical exercise, healthy diet, study habits, and time management, after the course. Furthermore, the decrease of impulsivity significantly predicted the generalization of self-control in the exercise and diet groups. The results indicate that reduced impulsivity is related to improvements in a target behavior and general self-control behaviors in other spheres. Implications and limitations are also discussed.
Objectives: The purpose of this study was to shed further light on the effect of modifiable health behavior risk factors on dependence in activities of daily living, defined in a multidimensional fashion. Methods: The study participants were 10,278 middle aged Americans in a longitudinal health study, the Health and Retirement Survey (HRS). A multi-stage probability sampling design incorporating the effect of population sizes (Metropolitan and non-metropolitan), ethnicity (the non- Hispanic White, the Hispanic, and the Black), and age (age 51-61) was utilized. Basic Activities of Daily Living (ADL) were measured using five activities necessary for survival (impairment in dressing, eating, bathing, sleeping, and moving across indoor spaces). Explanatory variables were four health behavior risk factors included smoking, exercise, Body Mass Index (BMI), and alcohol consumption. Results: Most participants at baseline were ADL independent (1992). 97.8% of participants were independent in all ADL's at baseline and 78.2% were married. Approximately 27.5% were current smokers at baseline, and the subjects reported moderate or heavy exercise were 74.8%. All demographic characteristics and behavioral risk factors were significantly associated with the ADL status at Wave 4 except alcohol consumption. Risk behaviors such as current smoking, sedentary life style and high BMI at Wave 1 were associated with ADL status deterioration; however, moderate alcohol consumption tended to be more related to better ADL status than abstaining at Wave 4. ADL status at Wave 1 was the strongest factor and the next was exercise and smoking affecting ADL status at Wave 4. People who were in ADL dependent at Wave 1 were 15.17 times more likely to be ADL dependent at Wave 4 than people who were in ADL independent at Wave 1. Concerning smoking cigarettes, people who kept only light exercise or sedentary life style at Wave 1 were 1.70 times more likely to be died at Wave 4 than the people who did not smoke at Wave 1. Conclusions: All demographics and health behaviors at wave 1 had consistently similar OR trends for ADL status to each other except alcohol consumption. Smoking and exercise in health behaviors, and age and gender in demographics at Wave 1 were significant factors associated with ADL group separation at Wave 4.
Journal of the Korean Society of Food Science and Nutrition
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v.42
no.6
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pp.904-910
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2013
The aim of this study was to investigate the eating behavior and nutritional status of subjects according to their purpose of exercise. A total of 214 subjects, 20 to 30 years of age, who visited fitness centers in Seoul were enrolled. Anthropometrics, exercise habits, nutritional knowledge, and eating behaviors were analyzed using a questionnaire. Nutritional status was assessed by serial 24 h recalls. The subjects were divided into two groups based on their purpose of exercise: increasing muscle (Muscle growth, n=107) or losing body weight (Weight loss, n=107). The Muscle growth group contained a higher percentage of men, whereas the Weight loss group contained a higher percentage of women. The Muscle growth group showed significantly higher scores of nutritional knowledge and eating behaviors compared to the Weight loss group. The Muscle growth group also had a significantly higher intake of energy and protein compared to the Weight loss group. In fact, the intake of energy in the Weight loss group was lower than the estimated energy requirement (EER) for both men and women subjects. The intake of protein in the Muscle growth group was twice as much as the recommended nutrient intake (RNI). The intake of calcium in both groups was less than the RNI. In conclusion, those who exercised with the aim of increasing muscle took excess dietary protein and those who exercised with the aim of weight loss had a lower energy intake than the EER.
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