Time-loss injuries are still a major occurrence in Canada, injuring thousands of Canadian workers each year. With obesity rates on the rise across the country, as well as around the world, it is important that the possible effects of obesity in the workplace be fully understood, especially those effects linked to lost-time injuries. The aim of this paper was to evaluate predictors of workplace lost-time injuries and how they may be related to obesity or high body mass index by examining factors associated with lost-time injuries in the health care sector, a well-studied industry with the highest number of reported time loss injuries in Canada. A literature review focusing on lost-time injuries in Registered Nurses (RNs) was conducted using the keywords and terms: lost time injury, workers' compensation, occupational injury, workplace injury, injury, injuries, work, workplace, occupational, nurse, registered nurse, RN, health care, predictors, risk factors, risk, risks, cause, causes, obese, obesity, and body mass index. Data on predictors or factors associated with lost-time injuries in RNs were gathered and organized using Loisel's Work Disability Prevention Management Model and extrapolated upon using existing literature surrounding obesity in the Canadian workplace.
Objectives: The present study examined relationships between socioeconomic status (SES) and obesity and body mass index (BMI) as well as the effects of health-related behavioral and psychological factors on the relationships. Methods: A cross-sectional population-based study was conducted on Korean adults aged 20 to 79 years using data from the 2001, 2005, and 2007 to 2009 Korea National Health and Nutrition Examination Survey. Multivariate logistic and linear regression models were used to estimate odds ratios of obesity and mean differences in BMI, respectively, across SES levels after controlling for health-related behavioral and psychological factors. Results: We observed significant gender-specific relationships of SES with obesity and BMI after adjusting for all covariates. In men, income, but not education, showed a slightly positive association with BMI (p<0.05 in 2001 and 2005). In women, education, but not income, was inversely associated with both obesity and BMI (p<0.0001 in all datasets). These relationships were attenuated with adjusting for health-related behavioral factors, not for psychological factors. Conclusions: Results confirmed gender-specific disparities in the associations of SES with obesity and BMI among adult Korean population. Focusing on intervention for health-related behaviors may be effective to reduce social inequalities in obesity.
The aim of the study was to assess the prevalence of young adults obesity, morbid obesity and severe obesity and to identify associated factors. Data for 50,095 participants aged 20-39 from Community Health Survey 2019. Chi-square test and multiple logistic regression were used for the analysis. Prevalence for young adults obesity, morbid obesity and severe obesity were 23.60%, 5.86% and 1.31%. Aged of 20's, male, low income, low educational level and marital status were found to be associated with all stages of obesity. Current smoking, high risk drinking, physical activity, health promotion practices, subjective health, EQ-5D, stress, depressive symptoms and comorbidities increased the prevalence of obesity in young adults. Health check-up, subjective health, EQ-5D, stress, depressive symptoms and comorbidities increased the prevalence of severe obesity in young adults. Based on the results, it is necessary to develop and provide focused intervention consisting of characteristics of young adults and stages of obesity.
BACKGROUND/OBJECTIVES: Serum ferritin levels are significantly increased after menopause and greatly affect women's health. The aim of this study was to investigate the dietary and non-dietary factors associated with high ferritin levels in postmenopausal women. SUBJECTS/METHODS: Among adult women in 2010-2012, qualified postmenopausal women (n = 3880) were separated into quartiles of serum ferritin. The variable differences among the quartiles of ferritin were determined using either procsurvey chi-square test (${\chi}^2$-test) among categorical variables, or GLM (Generalized Linear Model) among continuous variables. The odds ratio for high ferritin in relation to dietary factors was also determined using procsurvery logistic analysis. RESULTS: Age, obesity, drinking habit, and blood glucose levels were found to be significant indicators of high serum ferritin level after adjusting for all confounding factors. Among the food groups, grain, milk, vegetable, and seaweed intakes were significantly associated with high ferritin levels, but after adjusting for all confounding factors, only grains and vegetables remained significant factors. Among the nutrient groups, calcium, vitamin A, and vitamin C intake were significant factors, but after adjustment, none of the nutrient groups analyzed were associated with a high risk of ferritin. CONCLUSION: Age, obesity, drinking habit, and glucose levels, as well as inadequate intakes of grains and vegetables, were found to be significantly associated with high serum ferritin levels in postmenopausal Korean women.
Background: Muscle undergoes change continuously with aging. Sarcopenia, in which muscle mass decrease with aging, is associated with various diseases, the risk of falling, and the deterioration of quality of life. Obesity and sarcopenia also have a synergy effect on the disease of the older adults. Objects: This study examined the risk factors for sarcopenia, sarcopenic obesity, and sarcopenia without obesity and developed prediction models. Methods: This machine-learning study used the 2008-2011 Korea National Health and Nutrition Examination Surveys in the analysis. After data curation, 5,563 older participants were selected, of whom 1,169 had sarcopenia, 538 had sarcopenic obesity, and 631 had sarcopenia without obesity; the remaining 4,394 were normal. Decision tree and random forest models were used to identify risk factors. Results: The risk factors for sarcopenia chosen by both methods were body mass index (BMI) and duration of moderate physical activity; those for sarcopenic obesity were sex, BMI, and duration of moderate physical activity; and those for sarcopenia without obesity were BMI and sex. The areas under the receiver operating characteristic curves of all prediction models exceeded 0.75. BMI could predict sarcopenia-related disease. Conclusion: Risk factors for sarcopenia-related diseases should be identified and programs for sarcopenia-related disease prevention should be developed. Data-mining research using population data should be conducted to enhance the effectiveness of early treatment for people with sarcopenia-related diseases through predictive models.
Objectives: People often fail to reduce or maintain their weight despite trying to lose weight. The purpose of this study was to review previously published study results of the predictive factors associated with weight loss in obesity treatment. Methods: Authors searched for the articles related to weight loss, published from 2007 to 2017 found on PubMed, Scopus, Research Information Sharing Service (RISS), and Koreanstudies Information Service System (KISS). A total of 43 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to detailed categories. Results: Predictors of weight loss in obesity treatment included genetic and physiological factors, demographic factors, history of treatment on obesity related factors, behavioral factors, psychological factors and treatment process related factors. The main factors of weight loss were unchangeable predictors such as high initial degree of obesity and younger age, and changeable predictors such as dietary restraint, regular exercise, self-efficacy, initial weight loss and attendance. Especially dietary restraint, regular exercise, successful initial weight loss and high attendance were considered to be dominant factors for weight loss treatments. Conclusions: Our review results suggest that unchangeable and changeable predictors of weight loss should be carefully examined during treatments of obesity.
Objectives: The purpose of this study is to identify the associated factors with subjective oral symptoms experience of obesity adolescents. Methods: The study subjects were targeting 8,139 obesity adolescents and 55,601 non-Obesity adolescents who completed 2016 Korean Youth Risk Behavior Web-based survey. Dependent variables were subjective oral symptoms experiences of fracture teeth, pain, throbbing pain, periodontal pain & bleeding, mucosal disease and bad breath. Independent variables were demographic characteristics of the subjects, oral health behaviors, health behaviors and eating habits. Results: Obesity adolescents were 12.8% with 61.9% subjective oral symptoms experience. Regarding the related factors of subjective oral symptoms experience of obesity adolescents, the factors were identified to be significantly higher in high school (OR=1.72) compared to middle school, learning achievement was higher in middle (OR=1.09) and lower (OR=1.31) compared to high, economic status was higher in lower (OR=1.09) compared to high, sealant experience (OR=1.10) and scaling experiences (OR=1.12) responded no were higher compared to responded yes, smoking experiences responded yes(OR=1.08) were higher compared to responded no, sweet drink (OR=1.14) and fastfood (OR=1.13) consumption were higher in consumption compared to non-consumption and females (OR=0.46) were higher than males. Oral symptoms experience were lower that father and mother's level of education were under high school graduation (OR=0.86) compared to unknown, economic status was in case of middle (OR=0.93) compared to high, tooth brushing was lower in under 1 time (OR=0.76), 2 times (OR=0.61) compared to more than 3 times, vigorous physical activities responded no (OR=0.75) were lower, compared to yes, vegetable consumption was lower in non-consumption (OR=0.68) compared to consumption. Conclusions: Subjective oral symptoms experiences were identified higher in obesity adolescents than non-obesity adolescents. It would be useful to use the results of this study to reduce oral symptoms and necessary to develop a program system considering characteristics of obesity adolescents.
Metabolic syndrome and homocysteine are associated with increased independent risk factors of cardiovascular disease. We investigated the difference between the degree of obesity, metabolic syndrome risk factors, plasma homocysteine and anthropometric obesity factors. Totally 398 participated in a medical check-up program were selected for this study. Subjects were categorized into three groups according to the number of metabolic syndrome components present as defined by the NCEP-ATP III criteria; Absent (0 criteria, n=124), Pre-MetS (1-2 criteria, n=220) and MetS (${\geq}3$ criteria, n=54). Body mass index (BMI) is a measure used to distinguish between normal weight, overweight and obesity. MetS presented higher homocysteine than Absent (p<.05) and obesity higher than normal weight (p<.01). When Absent+Pre-MetS was used to classify obese or not, obesty presented higher homocysteine than non-obese (p<.05). Further homocysteine levels positively correlated with weight, BMI, waist circumference, hip circumference and waist-hip ratio (WHR). Especially WHR is not only MetS (r=0.378, p<.001) but also Absent+Pre-MetS (r=0.305, p=0.029) significantly positively correlated with homocysteine. The results of our study indicate that homocysteine is related closely to obesity. Although obesity has not been diagnosed with metabolic syndrome, obesity related with increased homocysteine.
Objectives: The purpose of this study was to review predictive factors associated with weight loss in moderate to severe obesity treatment. The direction of the treatment for moderate to severe obesity will be suggested in consideration of various factors. Methods: Authors searched the articles published from 2018 to 2023 in three international databases (PubMed, Embase and the Cochrane Central Register of Controlled Trials) and two domestic databases (Research Information Sharing Service, Korean studies Information Service System). Studies including treatment with moderate to severe obese patients were selected. Results: A total of 43 studies were included. The main factors of weight loss were unchangeable predictors such as low initial degree of obesity, younger age, non-diabetes and high resting energy expenditure with changeable predictors such as increase in protein, physical activity, self-efficacy, initial weight loss and attendance of the treatment. Conclusions: Our review results suggest that based on the characteristics of moderate to severe obese patients, predictors of weight loss can be used to determine treatment and prognosis in various aspects.
The purpose of this study was to estimate the prevalence and to identify risk factors of overweight among preschool children in Korea. The study subjects were 750 children, aged 2-6, attending child care centers in Korea. A measurement of the height and weight of the children, as well as collection of wide range of variables including general characteristics, and potential factors related with dietary habit for children and their parents, were conducted. Overweight was defined based on more than 110% of ideal body weight. A logistic regression analysis was adopted to identify the factors associated with overweight. Subjects were classified into three categories according to the obesity index : underweight(PIBW〈90%, n=34), normal(90%$\leq$PIBW〈110%, n=577), and overweight(PIBW$\geq$110%, n=139). The overall prevalence of overweight and underweight of the subjects were 21.3% and 4.0% of the boys and 15.5% and 5.1% of the girls respectively. Parent's obesity was associated with a higher risk of overweight on girls. Subjects o the third quartile(girls) and fourth quartile(boys) of income level had a substantially higher risk of overweight than did those in the first quartile. Fast eating, overeating, and food prejudice were also associated with an increased risk of overweight. The results of a logistic regression analysis showed that the eating habits and food preferences of the children were the most influencial factors on overweight. These finding may imply the importance of early stage nutrition education on rational dietary habit to prevent prevailing obesity of preschool in Korea.
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