Mendonca, Carolina Rodrigues;Noll, Matias;Santos, Annelisa Silva e Alves de Carvalho;Rodrigues, Ana Paula dos Santos;Silveira, Erika Aparecida
The Korean Journal of Pain
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제33권3호
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pp.245-257
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2020
Background: Musculoskeletal pain is associated with obesity; however, information on factors associated with pain in adults with obesity and severe obesity is limited. The purpose of this study was to assess the prevalence of musculoskeletal pain by site and intensity of pain and associated factors in individuals with severe obesity (body mass index ≥ 35.0 kg/㎡). Methods: Baseline data from the DieTBra Trial study evaluating pain symptoms in nine body regions over the last seven days using the Nordic Questionnaire on Musculoskeletal Symptoms and Numerical Pain Scale. The variables analyzed using multiple Poisson regression with hierarchical analysis were: sociodemographic, lifestyle, food consumption, clinical, and anthropometric, and the outcome was moderate and intense pain. Results: In 150 participants, there was a high prevalence of ankle and foot pain (68.7%), lower back pain (62.7%), pain in the knees (53.3%) and upper back pain (52.0%), with a predominance of intense pain. Factors associated with pain according to specific sites were: type 2 diabetes with hand/wrist pain; sedentary time with hip pain; insomnia with pain in the hip and knee; edema in the lower limbs with pain in the lower back and ankles/feet; degree of obesity with ankle/foot pain; and percentage of total fat with ankle/foot pain. Conclusions: There was a high prevalence of pain and intense pain in individuals with severe obesity and an association with clinical variables, the degree of obesity, and sedentary lifestyle.
BACKGROUND/OBJECTIVES: This cross-sectional study assessed household food security status and determined its association with diet quality and weight status among indigenous women from the Mah Meri tribe in Peninsular Malaysia. SUBJECTS/METHODS: The Radimer/Cornell Hunger and Food Insecurity Instrument and the Malaysian Healthy Eating Index (HEI) were used to assess household food security status and diet quality, respectively. Information on socio-demographic characteristics and 24-hour dietary recall data were collected through face-to-face interview, and anthropometric measurements including weight, height, and body mass index (BMI) were obtained from 222 women. RESULTS: Majority of households (82.9%) experienced different levels of food insecurity: 29.3% household food insecurity, 23.4% individual food insecurity, and 30.2% fell into the child hunger group. The food-secure group had significantly fewer children and smaller household sizes than the food-insecure groups (P < 0.05). The mean household income, income per capita, and food expenditure significantly decreased as food insecurity worsened (P < 0.001). The food-secure group had significantly higher Malaysian HEI scores for grains and cereals (P < 0.01), as well as for meat, poultry, and eggs (P < 0.001), than the food-insecure groups. The child-hunger group had significantly higher fat (P < 0.05) and sodium (P < 0.001) scores than the food-secure and household food-insecure groups. Compared to the individual food-insecure and child-hunger groups, multivariate analysis of covariance showed that the food-secure group was significantly associated with a higher Malaysian HEI score while the household food-insecure group was significantly associated with a higher BMI after controlling for age (P < 0.025). CONCLUSIONS: The majority of indigenous households faced food insecurity. Food insecurity at the individual and child levels was associated with lower quality of diet, while food insecurity at the household level was associated with higher body weight. Therefore, a substantial effort by all stakeholders is warranted to improve food insecurity among poorer households. The results suggest a pressing need for nutritional interventions to improve dietary intake among low income households.
A functional ability and adequate nutritional status are the major determinants of health status, Self-rated health (SRH) is a worldwide method to assess health status and it is recognized as a predictor of morbidity and mortality in the elderly, This study was designed to evaluate the functional ability and nutritional risk according to SRH in the elderly. Four hundred nine free-living elderly people (118 male, 291 female), aged $\geq$ 65 years were interviewed by trained interviewers using structured questionnaires including demographic information, SRH, anthropometric measurements, functional ability, general health status, and nutritional risk. SRH was divided into three status such as “Good”, “Moderate” and “Poor” status. And all the data were analyzed by oneway ANOVA, spearman correlation, and x$^2$ analysis using SPSS 9.0 version at p 〈 0.05. Of all the subjects, 48.9% perceived their health status as “poor”, and their functional abilities (activities of daily living, instrumental activities of daily living) were more impaired than their counterparts (“good” and “moderate”). Poor self-rated health was also related to: a higher prevalence of illnesses (p 〈 0,001) especially in hypertension, arthritis. Self-rated health was significantly related to food security (p 〈 0.001), food enjoyment (p 〈 0.001) ,and nutritional knowledge (p = 0.0 13). Also NSI checklist total score was the highest in “poor” health status (p 〈 0.001). Better self-rated health was related to better food security, and better food enjoyment. However, smoking, alcoholic intake, exercise, eating behaviors, and demographic characteristics were not significantly different among the three SRH status. SRH was closely related to chronic diseases, functional ability, and nutritional risk in the elderly. Therefore, public health strategies for the elderly should be focused on the elderly who are “poor” in SRH, to improve nutritional status and functional ability, and to reduce risk factors of chronic diseases.
Height and weight are important indicators to calculate Body Mass Index (BMI); measuring height and weight directly is the most exact method to get this information. However, it is ineffective in terms of cost and time on large population samples. The aim of our study was to investigate the validity of self-reported height and weight data compared to our measured data in Korean children to predict obese status. Four hundred twenty-two fifth-grade (mean age $10.5{\pm}0.5$ years) children who had self-reported and measured height and weight data were final subjects for this study. Overweight/obese was defined as a BMI of or above the 85th percentile of the gender-specific BMI for age in the 2007 Korean National Growth Charts or a BMI of 25 or higher (underweight : < 5th, normal : ${\geq}5th$ to < 85th, overweight : ${\geq}85th$ to < 95th). The differences between self-reported and measured data were tested using paired t-test. Differences based on overweight/obese status were tested using analysis of variance (ANOVA) and linear trends. Pearson's correlation and Cohen's kappa were tested to examine agreements between the self-reported and measured data. Although measured and self-reported height, weight and BMI were significantly different and children tended to overreport their height and underreport their weight, the correlation between the two methods of height, weight and BMI were high (r = 0.956, 0.969, 0.932, respectively; all P < 0.001), and both genders reported their overweight/non-overweight status accurately (Cohen's kappa = 0.792, P < 0.001). Although there were differences between the self-reported and our measured methods, the self-reported weight and height was valid enough to classify overweight/obesity status correctly, especially in non-overweight/obese children. Due to bigger underestimation of weight and overestimation of height in obese children, however, we need to be aware that the self-reported anthropometric data were less accurate in overweight/obese children than in non-overweight/obese children.
BACKGROUND/OBJECTIVES: To compare five indices of adherence to the Mediterranean Diet (MD) among adults living in the Mediterranean region. SUBJECTS/METHODS: A total of 100 healthy Lebanese adults aged between 18 and 65 years. Face-to-face interviews to collect sociodemographic and medical information, to take anthropometric measurements, and to fill a validated, culturally adapted, food frequency questionnaire (FFQ). The score for each item was calculated following the recommendations for each corresponding index. The five MD indices were Mediterranean Diet Scale (MDScale), Mediterranean Food Pattern (MFP), MD Score (MDS), Short Mediterranean Diet Questionnaire (SMDQ), and the MedDiet score. RESULTS: Significant correlations were detected between items with P-values < 0.001. Minimal agreement was seen between MDScale and MedDiet score and maximal agreement between MDS and MedDiet score. Univariate and multivariate analyses showed that MDS and MedDiet scores had significant correlations with fiber and olive oil intake, main components of the MD. MDScale showed a significant correlation with waist-to-hip ratio and with total energy intake but none of the five indices was correlated to body mass index (BMI). CONCLUSIONS: The indices that showed the highest correlation with variables related to the MD are the MDScale and the MedDiet score; therefore, they can be used to assess our future study populations. Based on the current results, more than half of the study population was non-adherent to the MD and adherence to this diet did not appear to protect against being overweight ($BMI{\geq}30$).
BACKGROUND/OBJECTIVES: Several nutritional screening tools were recently developed to screen the risk of malnutrition in hospitalized children, but have not been validated in Asia. We compared four nutritional screening tools for pediatric patients in evaluating nutritional risks in newly hospitalized children. SUBJECTS/METHODS: Medical records of newly admitted pediatric patients between June 2016 and May 2017 at two tertiary hospitals were reviewed. Initial information by nurses and hospital records by doctors on baseline demographic, clinical, and anthropometric data at admission were collected in all subjects. Nutritional risks were evaluated using four nutritional screening tools including the pediatric nutritional risk score (PNRS), the screening tool for the assessment of malnutrition in pediatrics (STAMP), the paediatric Yorkhill malnutrition score (PYMS), and the screening tools for risk of nutritional status and growth (STRONGkids). RESULTS: A total of 559 patients (310 boys and 249 girls, mean age $6.3{\pm}5.5years$) were recruited. Patients in medical and surgical departments were 469 (83.9%) and 90 (16.1%), respectively. The prevalence of patients at risk of malnutrition were 31.1% for low risk, 52.2% for medium risk, and 16.6% for high risk by PNRS; 11.4%, 39.7%, and 48.8% by STAMP; 26.5%, 25.4%, and 48.1% by PYMS; and 35.6%, 58.9%, and 5.5% by STRONGkids. PNRS versus STRONGkids and STAMP versus PYMS showed moderate agreement (kappa = 0.566 and kappa = 0.495, respectively). PYMS and STAMP revealed a relatively high sensitivity of 87.8% and 77.6% for wasting. CONCLUSION: Different nutritional screening tools revealed considerably different results in evaluating nutritional risks in newly hospitalized children. Since pediatric patients are at risk of malnutrition at admission and during hospitalization, screening tools should be applied properly according to the situation of each hospital.
The purpose of this study was to investigate the eating habits and eating behaviors, nutrition knowledge of students in 4, 5 and 6th graders of elementary school in Jeonju Area. The subjects for questionnaire were 2,568 elementary school students (boys 1,364, girls 1,204). The results were analyzed by SPSS program, and were as follows. In anthropometric data, there were significant differences between boys and girls. In eating habits and eating behaviors, there were significant differences in the rate of 'Hasty eating habit(p<0.01)', 'Most heavy meal(p<0.01)', 'Eating when receive stress(p<0.05)', and 'Frequency of snack eating per day(p<0.01)' between boys and girls. In total scores of nutrition knowledge, there were significant differences between boys and girls. In nutrition knowledge, there were significant differences in the rate of 'Carbohydrate and fat give heat and force.(p<0.001)', 'Carbohydrate is nutrient that make muscle and blood of our body.(p<0.01)', 'Overeating of carbohydrate does not contribute gain of weight. (p<0.05)', To intake vitamin, it is good to eat fresh fruit and vegetable.(p<0.01)', 'Calcium deficiency is leading to anemia.(p<0.001)' between boys and girls. In conclusion, systematical educational programs need to be developed at elementary school. These should include information about achieving a balanced diet, good eating habit and behavior, meal management and Korean dietary culture. Also, nutritional education at home must be emphasized.
The objectives of this study were to investigate 1) the nutritional knowledge, 2) the use of nutritional supplements, and 3) nutrient intakes of male elite bodybuilders (n=20). Participants carried out a comprehensive survey, anthropometric assessment, and 1 day food record. Daily nutrient intakes of the subjects were analyzed using Computer Aided Nutritional Analysis Program (Can-pro 3.0). The mean age of the subjects was 23.4 years. The mean duration of exercise was 5.3 years. The average scores of nutritional knowledge were 71.0%. The subjects were gathered nutrition information from nutrition book (65%), mass communication (50%), friends (50%) and coach (30%) in order. Ninety percentage of the subjects reported that they were taking nutritional supplements. Major reasons for taking nutritional supplements were to improve performance and to build-up muscle. The most frequently taken nutritional supplements were protein powder (85%), multivitamin/mineral (75%), BCAA (60%) and glutamine (55%) in order. The average daily energy intakes of the subjects were 4,248.7 kcal. The mean intake of protein was 370.3 g/day (3.93 g/kg BW). The ratio of total energy intake from carbohydrate, protein and lipid was 51 : 34 : 15. The intakes of most vitamin and minerals through food and nutrition supplements were much higher than those of each nutrient of the RDAs. Especially, vitamin B complex and vitamin C intakes were ranged from 500 to 3,000% of KNHNES. More research needs to be conducted to determine the optimal amounts of carbohydrates, protein, lipid and micro-nutrients for the bodybuilders.
This study analyzed the style, dimensions, fabric patterns, colors, and fabrics of a traditional Chinese women's dress from the Zhou Dynasty, and reconstructed it in the form of a virtual garment using 3D CLO. Based on ancient flat image data and three-dimensional portrait data, who wore them, how they were worn, and how they were coordinated was analyzed. In order to analyze the size and pattern of the straight Ju Chines dress, data from the excavation report and the tomb owner's anthropometric measurements were combined to infer the wearing condition and organize the sculptural features. Dimensional analysis was carried out using a well-preserved small-scale woven cotton cloth as a restoration model, and the horizontal and vertical dimensions were reasonably estimated using the shape proportioning method. The analysis of the colors and patterns of the fabrics was based on the colors and patterns of the fabrics excavated from Masan Tomb No. 1 during the Eastern Zhou, Qin, and Han periods. Finally, a virtual model was created using data from the excavation report and the age and height information of the owner of the excavated robe, and the pose and size of the virtual model were determined using 3D CLO. Based on the previous research data, the garment was virtually sewn and simulated. The shape, pressure, and strain of the garment in different postures was also compared. Through the research direction of pattern and 3D restoration, this research maximizes the restoration of Chinese traditional women's dress and presents it in a more intuitive, comprehensive, and vivid way.
This study used 3D anthropometric data from the 8th Size Korea to type and analyze whole body shapes of obese women in their 20s and 30s, and constructed dimensional data for human body items needed to create a 3D human body model for each type. The data analysis used data from 148 obese women in their 20s and 30s, and a total of 48 index values, drop values, and angle items were subjected to factor analysis and one-way variance analysis to categorize body types and verify significant differences by type. As a result of the factor analysis, 12 factors were extracted and divided into 4 body types. Type 1 is a 'standard type with a curved torso with balanced upper and lower body lengths', Type 2 is a 'bending forward type with a short, thick lower body, and an uncurved torso', Type 3 is a 'lean back type with a long and thin lower body and an H-shape torso', Type 4 is a 'sway back type with a long and thick lower body and abdominal obesity'. The representative body type of obese women in their 20s and 30s was identified as Type 1. The constructed body shape information will be used as basic data for future 3D human body modeling.
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