NHANES data from the 2003-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates. This dataset is associated with the following publication: Gaston, S., and N. Tulve. Urinary phthalate metabolites and metabolic syndrome in U.S. adolescents: Cross-sectional results from the National Health and Nutrition Examination Survey (2003–2014) data. INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam, NETHERLANDS, 222(2): 195-204, (2019).

NHANES data from the 2011-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates. This dataset is associated with the following publication: Gaston, S., N. Tulve, and T. Ferguson. Abdominal obesity, metabolic dysfunction, and metabolic syndrome in U.S. adolescents: National Health and Nutrition Examination Survey 2011–2016. ANNALS OF EPIDEMIOLOGY. Elsevier Science Ltd, New York, NY, USA, 30: 30-36, (2019).

NHANES data from the 2011-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates. This dataset is associated with the following publication: Gaston, S., N. Tulve, and T. Ferguson. Abdominal obesity, metabolic dysfunction, and metabolic syndrome in U.S. adolescents: National Health and Nutrition Examination Survey 2011–2016. ANNALS OF EPIDEMIOLOGY. Elsevier Science Ltd, New York, NY, USA, 30: 30-36, (2019).

Background As obesity is rapidly becoming a major medical and public health problem, the aim of our study was to determine: 1) if obesity in Caucasian adolescents at 5 different Tanner stages are associated with obesity in adulthood and its obesity-associated abnormal glucose and lipid profiles, 2) the type of fat distribution is associated with glucose and lipid profile abnormalities, and 3) the risk level and the age of appearance of these abnormalities. Methods For the first study, data analyses were from a case-control study of adolescents classified according to their BMI; a BMI ≥ 85th percentile for age and sex as overweight, and those with a BMI ≥ 95th percentile as obese. Subjects with a BMI < 85th percentile were classified as controls. WC:AC ratio of waist circumference to arm circumference was used as an indicator of a central pattern of adiposity. Two other indices of central adiposity were calculated from skinfolds: Central-peripheral (CPR) as subscapular skinfold + suprailliac skinfold)/ (triceps skinfold + thigh skinfold) and ratio of subscapular to triceps skinfold (STR). The sum of the four skinfolds (SUM) was calculated from triceps, subscapular, suprailliac and thigh skinfolds. SUM provides a single measure of subcutaneous adiposity. Representative adult subjects were used for comparison. Glucose and lipid profiles were also determined in these subjects. Abnormal glucose and lipid profiles were determined as being those with fasting glucose ≥ 6.1 mmol/l and lipid values ≥ 85th percentile adjusted for age and sex, respectively. Prevalence and odds ratio analysis were used to determine the impact of obesity on glucose and lipid profiles at each Tanner stages for both sexes. Correlation coefficient analyses were used to determine the association between glucose and lipid profiles and anthropometric measurements for both sexes. The second study evaluated in a retrospective-prospective longitudinal way if: 1) obesity in adolescence is associated with obesity in adulthood and 2) the nature of obesity-associated risk factors. Incidence and odds ratio analysis were used to determine the impact of obesity on glucose and lipid profiles at 7 different age groups from 9 to 38 years old in both sexes between 1974 to 2000. Results Overall, glucose and lipid profiles were significantly (P < 0.01) associated with all anthropometric measurements either in male and female adolescents. WC:AC, CPR, STR and SUM are stronger predictors of both glucose and lipid profiles than BMI. Obese and overweight adolescents of Tanner stages III and higher are at increased risk of having an impaired glucose and lipid profiles than normal subjects with odds ratios of 5.9 and higher. Obesity in adolescents of 13–15 years old group is significantly (P < 0.01) associated with obesity in adulthood (with odds ratios of at least 12 for both men and women) and abnormal glucose (odds ratio of ≥ 8.6) and lipid profiles (odds ratio of ≥ 11.4). Conclusions This study confirmed that adolescents aged between 13 and 15 years old of both sexes with a BMI ≥ 85th percentile are at increased risk of becoming overweight or obese adults and presenting abnormal glucose and lipid profiles as adults. This emphasizes the importance of early detection and intervention directed at treatment of obesity to avert the long-term consequences of obesity on the development of cardiovascular diseases.

This spotlight uses 2013 to 2015 National Surveys on Drug Use and Health (NSDUH) data to examine the association between weight and depression among adolescents aged 12 to 17 by gender.

The purpose of this report is to examine the prevalence of MDE among adolescents with varying levels of self-rated overall health and with and without three respiratory health conditions (asthma, bronchitis, pneumonia), body mass index category (including overweight and obesity), and diabetes using data from a nationally representative household sample, the National Survey on Drug Use and Health (NSDUH). These health conditions were examined because, based on prior research, they have been shown to be associated with depression. This study also takes the next step of furthering knowledge about whether the associations between depression and physical health conditions differ among particular populations by exploring whether these associations differ by age, gender, race/ethnicity, and poverty status.

The proposed study will utilize the National Survey on Drug Use and Health (NSDUH), which measures MDE and self-reported medical conditions among adolescents aged 12 to 17. Self-reported height and weight were also collected starting in 2013, from which body mass index will be computed. Initially, estimates of physical health conditions among adolescents with and without MDE will be reported. Further analyses will explore the demographic characteristics and other factors identified in the literature that may contribute to increased risk for physical health conditions among adolescents with MDE compared to those without MDE. Higher level analyses will employ logistic regression or other appropriate methods to assess and adjust for confounding factors in the association between MDE and physical health conditions among adolescents.Physical Health Conditions among Adolescents with Major Depressive Episode (MH9)

Adolescents Who Have Obesity - "This indicator shows the percentage of adolescent public high school students who are obese. In the last 20 years, the percentage of overweight/obese children has more than doubled and, for adolescents, it has tripled. Overweight/obese children are at increased risk of developing life-threatening chronic diseases, such as Type 2 diabetes." Link to Data Details

우리나라 소아청소년의 신장, 체중 등 신체계측치의 분포를 보여주는 백분위 곡선으로 저신장, 저체중, 비만 등 소아청소년의 성장상태를 평가하는 지표로 활용되고 있다.