Objective To report the prevalence and trend of overweight and obesity among students aged 7-22 years in Jiangsu, 2010 to 2013. Methods This cross-sectional study was carried out as part of students physical fitness a...Objective To report the prevalence and trend of overweight and obesity among students aged 7-22 years in Jiangsu, 2010 to 2013. Methods This cross-sectional study was carried out as part of students physical fitness and health survey in Jiangsu province. A total of 255,581 subjects (50.03% males and 49.97% females) enrolled in 82 school and 10 universities in Jiangsu. Weights and heights were obtained for each subject and its body mass index (BMI) was calculated using the Chinese Working Group on Obesity in China (CWGO). Results Anthropometric measurement including bodyweight, height, BMI and bust were significantly different between males in urban compared to females living rural areas (P〈0.001). The total prevalence of overweight and obesity was 12.4% and 5.7%. Males had a significantly higher rate than in female's student. The prevalence of overweight and obesity by age groups was (14.5%, 10.3%) at age 7-11 years, (11.2%, 6.8%) at age 12-14 years, (11.7%, 3.1%) at age 15-17 years, and (11.4%, 2.3%) at age 18-22 years. By regions; the highest prevalence of overweight obesity reported in Taizhou (10.0%, 14.2%), Xuzhou (9.4%, 12.5%), and Nanjing (9.2%, 15.6%), respectively. Conclusion The finding declares that overweight and obesity are important health problems among students in Jiangsu Province. Early intervention programme are needed to address this problems.展开更多
Background:While the relationship between sedentary time and adiposity markers may be independent of moderate-to-vigorous intensity physical activity(MVPA) among adolescents,little is known about the role of light-int...Background:While the relationship between sedentary time and adiposity markers may be independent of moderate-to-vigorous intensity physical activity(MVPA) among adolescents,little is known about the role of light-intensity physical activity(LIPA) in this relationship.The aim of this cross-sectional study was to examine whether device-measured LIPA and MVPA moderate the associations between objectively measured sitting time and adiposity markers(body mass index(BMI)) and waist circumference(WC)) among adolescents.Methods:This study included accelerometer and inclinometer data obtained from 219 adolescents(age=14.9±1.6 years,mean± SD),collected during 2014 and 2015 in Melbourne,Australia.ActiGraph GT3 X accelerometers were used to determine time spent in total-LIPA(101 counts/min to 3.99 metabolic equivalents(METs)) was dichotomized into low-LIPA(101-799 counts/min) and high LIPA(800 counts/min to 3.99 METs),and MVPA(> 4 METs).The average time spent sitting was obtained from activPAL inclinometers.Anthropometric measures were assessed by trained staff.Interactions between sitting and total-LIPA,low-LIPA,high-LIPA,and MVPA on BMI z-score(zBMI) and WC z-score(zWC),respectively,were examined using linear regression,adjusting for age and sex;and moderation by total-LIPA,low-LIPA,high-LIPA,and MVPA were examined by adding interaction terms.Significant interaction effects were probed by comparing associations at the mean and at 1 SD below and above the mean.Results:Total-LIPA significantly moderated the association between sitting time and zBMI,and low-LIPA significantly moderated the association between sitting time and zBMI and zWC.No other associations were found for total-LIPA,high-LIPA,or MVPA.Specifically,at high levels of total-LIPA(+1 SD),there is a negative association between sitting time and zBMI.In addition,at high levels of low-LIPA(+1 SD),there is a negative association between sitting time and zBMI and zWC.Conclusion:Associations between sitting and adiposity depended on time spent in total-LIPA and low展开更多
Introduction and Objective: The aim of this research was to find out the interaction of anthropometric measurements particularly body mass and oral health status of Turkish young adult nationals regionally, depending ...Introduction and Objective: The aim of this research was to find out the interaction of anthropometric measurements particularly body mass and oral health status of Turkish young adult nationals regionally, depending on the effects of diet (food and fluid consumption), smoking and tooth brushing habits, which were determined by using the body mass index (BMI) and dental health index (DMFT). Material and Methods: The BMI and DMFT of 202 cases, with an age average 22.5 years, were recorded through physical and clinical examinations. Statistical evaluation of the data was checked by Cronbach’s Alpha Reliability Scale and performed by analysis of variance, Somer’s d and Pearson Chi-Square statistics, Poisson Regression and Odds Ratio analysis. Results: The results showed that the mean of BMI was at the optimum level (21.52) for all cases. The DMFT was higher for underweight females and for overweight males. The mean of DMFT according to sexes seemingly had no significant difference;however, females had 8.6% more DMFT than males. When the risk factors of dental caries were evaluated, the DMFT was found as 19.3% more for cases consuming high carbohydrate foods, 4.5% more for high beverage consumption and 18% more for smokers. Conclusions: In conclusion, tooth brushing 3 or more times a day is necessary to decrease the DMFT and tooth brushing 3 times a day as opposed to 1 or 2 times shows significant difference regarding oral health.展开更多
Objectives: To define optimum food and nutrient profiling in gender-specific and age group-specific variant regression models. Setting: 481 subjects of both sexes (18.4 years old) from Giza urban were set. Design: Die...Objectives: To define optimum food and nutrient profiling in gender-specific and age group-specific variant regression models. Setting: 481 subjects of both sexes (18.4 years old) from Giza urban were set. Design: Dietary assessment used the 24-h dietary recall data to calculate the estimated energy and (24) nutrients eaten by each individual. Four indices—food variety diversity score, healthy eating index (HEI), mean probability of nutrients adequacy (MPA) and nutrient rich food (NRF9.3) index score were used for assessing the profiling of the diet. Results: A total of 163 individual food items were consumed by the participants within the 24-h dietary recall with an average daily intake of (6.6) different food varieties. Grains were the top contributors of energy and 10 macro and micro nutrients followed by the meat group. Based on the MPA data, the mean acceptable intake (AI) of dietary calcium (32.9%) and vitamin C (30%) were limiting in the diet. The diet profiling consumed by the teenagers aged 14.8 years was inferior compared to that consumed by subjects aging 23.9 years. Linear regression analyses were conducted between the 4 indices as the dependent variable and all possible combinations of 16 nutrients of interest as independent variables. NRF9.3 was the optimum nutrient index and correlated negatively with markers of abdominal obesity. Conclusion: Implementation of nutrition intervention program was directed to youths to include age appropriate good healthy foods to decrease the risk of nutrient deficiencies.展开更多
基金fully supported by the Jiangsu Provincial Social Science Foundation Grant(3TYA001)
文摘Objective To report the prevalence and trend of overweight and obesity among students aged 7-22 years in Jiangsu, 2010 to 2013. Methods This cross-sectional study was carried out as part of students physical fitness and health survey in Jiangsu province. A total of 255,581 subjects (50.03% males and 49.97% females) enrolled in 82 school and 10 universities in Jiangsu. Weights and heights were obtained for each subject and its body mass index (BMI) was calculated using the Chinese Working Group on Obesity in China (CWGO). Results Anthropometric measurement including bodyweight, height, BMI and bust were significantly different between males in urban compared to females living rural areas (P〈0.001). The total prevalence of overweight and obesity was 12.4% and 5.7%. Males had a significantly higher rate than in female's student. The prevalence of overweight and obesity by age groups was (14.5%, 10.3%) at age 7-11 years, (11.2%, 6.8%) at age 12-14 years, (11.7%, 3.1%) at age 15-17 years, and (11.4%, 2.3%) at age 18-22 years. By regions; the highest prevalence of overweight obesity reported in Taizhou (10.0%, 14.2%), Xuzhou (9.4%, 12.5%), and Nanjing (9.2%, 15.6%), respectively. Conclusion The finding declares that overweight and obesity are important health problems among students in Jiangsu Province. Early intervention programme are needed to address this problems.
基金funded by the National Institutes for Health (NIH) (R01 HL 111378)AMCA is supported by a Deakin University Postgraduate Research Scholarship (DUPRS)+5 种基金JS was supported by a NHMRC Principal Research Fellowship (APP1026216) during this researchDWD is supported by an NHMRC Senior Research Fellowship (APP1078360)the Victorian Government’s Operational Infrastructure Support ProgramLA is supported by an Alfred Deakin Postdoctoral Research Fellowshipsupported by a National Heart Foundation of Australia Future Leader Fellowship (Award ID 100046) during this researchJS,DWD,and AT received funding support from an NHMRC Centre for Research Excellence Grant (APP1057608)。
文摘Background:While the relationship between sedentary time and adiposity markers may be independent of moderate-to-vigorous intensity physical activity(MVPA) among adolescents,little is known about the role of light-intensity physical activity(LIPA) in this relationship.The aim of this cross-sectional study was to examine whether device-measured LIPA and MVPA moderate the associations between objectively measured sitting time and adiposity markers(body mass index(BMI)) and waist circumference(WC)) among adolescents.Methods:This study included accelerometer and inclinometer data obtained from 219 adolescents(age=14.9±1.6 years,mean± SD),collected during 2014 and 2015 in Melbourne,Australia.ActiGraph GT3 X accelerometers were used to determine time spent in total-LIPA(101 counts/min to 3.99 metabolic equivalents(METs)) was dichotomized into low-LIPA(101-799 counts/min) and high LIPA(800 counts/min to 3.99 METs),and MVPA(> 4 METs).The average time spent sitting was obtained from activPAL inclinometers.Anthropometric measures were assessed by trained staff.Interactions between sitting and total-LIPA,low-LIPA,high-LIPA,and MVPA on BMI z-score(zBMI) and WC z-score(zWC),respectively,were examined using linear regression,adjusting for age and sex;and moderation by total-LIPA,low-LIPA,high-LIPA,and MVPA were examined by adding interaction terms.Significant interaction effects were probed by comparing associations at the mean and at 1 SD below and above the mean.Results:Total-LIPA significantly moderated the association between sitting time and zBMI,and low-LIPA significantly moderated the association between sitting time and zBMI and zWC.No other associations were found for total-LIPA,high-LIPA,or MVPA.Specifically,at high levels of total-LIPA(+1 SD),there is a negative association between sitting time and zBMI.In addition,at high levels of low-LIPA(+1 SD),there is a negative association between sitting time and zBMI and zWC.Conclusion:Associations between sitting and adiposity depended on time spent in total-LIPA and low
文摘Introduction and Objective: The aim of this research was to find out the interaction of anthropometric measurements particularly body mass and oral health status of Turkish young adult nationals regionally, depending on the effects of diet (food and fluid consumption), smoking and tooth brushing habits, which were determined by using the body mass index (BMI) and dental health index (DMFT). Material and Methods: The BMI and DMFT of 202 cases, with an age average 22.5 years, were recorded through physical and clinical examinations. Statistical evaluation of the data was checked by Cronbach’s Alpha Reliability Scale and performed by analysis of variance, Somer’s d and Pearson Chi-Square statistics, Poisson Regression and Odds Ratio analysis. Results: The results showed that the mean of BMI was at the optimum level (21.52) for all cases. The DMFT was higher for underweight females and for overweight males. The mean of DMFT according to sexes seemingly had no significant difference;however, females had 8.6% more DMFT than males. When the risk factors of dental caries were evaluated, the DMFT was found as 19.3% more for cases consuming high carbohydrate foods, 4.5% more for high beverage consumption and 18% more for smokers. Conclusions: In conclusion, tooth brushing 3 or more times a day is necessary to decrease the DMFT and tooth brushing 3 times a day as opposed to 1 or 2 times shows significant difference regarding oral health.
文摘Objectives: To define optimum food and nutrient profiling in gender-specific and age group-specific variant regression models. Setting: 481 subjects of both sexes (18.4 years old) from Giza urban were set. Design: Dietary assessment used the 24-h dietary recall data to calculate the estimated energy and (24) nutrients eaten by each individual. Four indices—food variety diversity score, healthy eating index (HEI), mean probability of nutrients adequacy (MPA) and nutrient rich food (NRF9.3) index score were used for assessing the profiling of the diet. Results: A total of 163 individual food items were consumed by the participants within the 24-h dietary recall with an average daily intake of (6.6) different food varieties. Grains were the top contributors of energy and 10 macro and micro nutrients followed by the meat group. Based on the MPA data, the mean acceptable intake (AI) of dietary calcium (32.9%) and vitamin C (30%) were limiting in the diet. The diet profiling consumed by the teenagers aged 14.8 years was inferior compared to that consumed by subjects aging 23.9 years. Linear regression analyses were conducted between the 4 indices as the dependent variable and all possible combinations of 16 nutrients of interest as independent variables. NRF9.3 was the optimum nutrient index and correlated negatively with markers of abdominal obesity. Conclusion: Implementation of nutrition intervention program was directed to youths to include age appropriate good healthy foods to decrease the risk of nutrient deficiencies.