human
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: The purpose s of this study were to : 1 ) describe the patterns of screen-based sedentary behaviors  , and 2 ) examine the association between  screen-based sedentary behavior and cardiovascular disease ( CVD ) risk factors in representative Korean children and adolescents , aged 12 to 18 yr , in the Korean National Health and Nutrition Examination Survey .  Screen-based sedentary behavior  was measured using self-report question naires that included items for time spent watching TV and playing PC/video games . Physical activity  was measured using items for frequency and duration of moderate-to-vigorous physical activity ( MVPA )  . CVD risk factors such as body mass index ( BMI ) , waist circumference , LDL cholesterol , HDL cholesterol , total cholesterol , triglycerides , glucose , systolic blood pressure , and diastolic blood pressure were measured . Boys spent more time playing PC/video games , and girls spent more time watching TV . After adjusting for age , gender , annual household income , and MVPA , an additional hour of watching TV was significantly associated with the risk of overweight ( OR 1.17 [ 95 % CI 1.03 - 1.33 ] ) , high abdominal adiposity ( OR 1.27 [ 1.06 - 1.51 ] ) , and low HDL cholesterol ( OR 1.27 [ 1.10 - 1.47 ] ) . An additional hour spent playing PC/video games  also increased the risk of high abdominal adiposity ( OR 1.20 [ 1.03 - 1.40 ] ) . Prospect i ve observations and interventions are needed to determine causal relationships between  screen-based sedentary behavior  and CVD risk profiles in Korean youth PURPOSE The objectives of this study were to describe longitudinal trends in adolescent physical activity in a sample of U.S. adolescents and to assess the effect of multiple individual , parental , and environmental factors on initial level and rates of change in adolescent physical activity . METHODS Study subjects were 12,812 boys and girls 10 to 18 years of age who were participating in the Growing Up Today Study and their mothers . We used accelerated longitudinal analysis to describe trajectories of physical activity from 1997 - 1999 , and r and om effects linear mixed models to determine which factors were independently associated with baseline physical activity and changes in physical activity over time . RESULTS Mean hours of physical activity ranged from 7.3 - 11.6 hours per week in boys and from 8.0 - 11.2 hours per week in girls . Physical activity was best modeled as a quadratic function of age , increasing until early adolescence and declining after age 13 in boys and girls . Multivariable modeling demonstrated that variables associated with physical activity level at baseline in boys and girls were age , body mass index , psychosocial variables , personal attitudes about body shape , perceived peer attitudes about body shape/fitness , parental attitudes about physical activity , parental physical activity , and environmental barriers to physical activity . Age was the only factor that predicted change in physical activity over time . CONCLUSIONS Interventions to increase physical activity in adolescents should begin before adolescence . Interventions may be more effective if they are multimodal and focus on modifiable individual , parental , and environmental factors Observational longitudinal research is particularly useful for assessing etiology and prognosis and for providing evidence for clinical decision making . However , there are no structured reporting requirements for studies of this design to assist authors , editors , and readers . The authors developed and tested a checklist of criteria related to threats to the internal and external validity of observational longitudinal studies . The checklist criteria concerned recruitment , data collection , biases , and data analysis and descriptive issues relevant to study rationale , study population , and generalizability . Two raters independently assessed 49 r and omly selected articles describing stroke research published from 1999 to 2003 in six journals : American Journal of Epidemiology , Journal of Epidemiology and Community Health , Stroke , Annals of Neurology , Archives of Physical Medicine and Rehabilitation , and American Journal of Physical Medicine and Rehabilitation . On average , 17 of the 33 checklist criteria were reported . Criteria describing the study design were better reported than those related to internal validity . No relation was found between study type ( etiologic or prognostic ) or word count and quality of reporting . A flow diagram for summarizing participant flow through a study was developed . Editors and authors should consider using a checklist and flow diagram when reporting on observational longitudinal research To cite this article : Vahlkvist S , Inman MD , Pedersen S. Effect of asthma treatment on fitness , daily activity and body composition in children with asthma . Allergy 2010 ; 65 : 1464–1471 AIMS Girls with Type 1 diabetes often gain excessive weight during puberty . The aims of this study were to compare objective ly assessed physical activity  and  energy intake  in girls with Type 1 diabetes with those in healthy age-matched controls . METHODS This prospect i ve cohort study comprised 26 girls with Type 1 diabetes and 49 control girls . The mean age of the diabetic girls was 15.7 + /- 2.1 years and that of the control girls 15.8 + /- 2.1 years . In the diabetic group , mean haemoglobin A1c was 7.6 + /- 1.4 % and daily insulin dosage was 1.1 + /- 0.3 U/kg .  Physical activity was measured during 7 consecutive days with a uniaxial accelerometer , and energy intake was assessed concurrently with a 7-day food diary . RESULTS There was a tendency towards lower total amount of physical activity in the diabetes group but the difference between the study groups did not reach statistical significance ( Diabetes : 464 + /- 123 counts/min/day ; CONTROLS 523 + /- 138 counts/min/day ; P = 0.06 ) . No difference was found between the groups regarding total energy intake ( Diabetes : 8.5 + /- 1.8 MJ/day ; CONTROLS 8.4 + /- 2.6 MJ/day ) . The carbohydrate intake was lower and the protein and fibre intakes were higher in girls with diabetes . No association was observed between physical activity , energy intake and HbA1c . CONCLUSIONS In this prospect i ve cohort study , we found a tendency towards lower physical activity but no differences in energy intake between girls with Type 1 diabetes and age-matched controls . Larger studies are needed to further explore the importance of the total amount of physical activity for excessive weight gain in adolescent girls with Type 1 diabetes OBJECTIVE To compare objective ly assessed physical activity  levels , between asthmatic children and non-asthmatic controls . METHODS From a r and om community sample of 794 children aged 8 - 9 years , in a case-control design , 104 children with ever doctor 's diagnosis of asthma and 99 non-asthmatic controls were recruited and had assessment of physical activity with biaxial accelerometers for 7 days . RESULTS Children with active ( also reporting at least one episode of wheezing in the last 12 months ) and inactive ( no wheezing in past 12 months ) asthma appeared to have similar physical activity and sedentary activity levels compared to non-asthmatic children . However , girls with active asthma had significantly lower moderate-to-vigorous physical activity ( MVPA ) levels than their peers with adjusted geometric mean ratio of 0.59 ( 95 % CI : 0.369 , 0.929 , P-value = 0.024 ) . No difference in physical and sedentary activity levels was observed between asthmatic and non-asthmatic boys . The difference between genders in the comparison of MVPA levels in asthmatics and controls was statistically significant ( P-value of likelihood ratio test [ LRT ] for effect modification by gender = 0.034 ) . CONCLUSIONS Unlike boys , girls with active asthma appear to be less active than their healthy peers , and this gender difference might explain the inconsistent evidence from previous reports on physical activity levels in asthmatic children . Further studies are needed to confirm the gender interaction in the childhood asthma-physical activity relation and the implication s on current guidelines for physical exercise prescriptions in asthmatic children PURPOSE We established accelerometer count ranges for the Computer Science and Applications , Inc. ( CSA ) activity monitor corresponding to commonly employed MET categories . METHODS Data were obtained from 50 adults ( 25 males , 25 females ) during treadmill exercise at three different speeds ( 4.8 , 6.4 , and 9.7 km x h(-1 ) ) . RESULTS Activity counts and steady-state oxygen consumption were highly correlated ( r = 0.88 ) , and count ranges corresponding to light , moderate , hard , and very hard intensity levels were < or = 1951 , 1952 - 5724 , 5725 - 9498 , > or = 9499 cnts x min(-1 ) , respectively . A model to predict energy expenditure from activity counts and body mass was developed using data from a r and om sample of 35 subjects ( r2 = 0.82 , SEE = 1.40 kcal x min(-1 ) ) . Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed ( SEE = 0.50 - 1.40 kcal x min(-1 ) ) . CONCLUSIONS These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer BACKGROUND Patients with type 1 diabetes mellitus ( T1DM ) may experience poor muscle health as a result of chronic hyperglycemia . Despite this , muscle function in children with T1DM with good or poor glycemic control has yet to be examined in detail . OBJECTIVE To assess differences in muscle-related fitness variables in children with T1DM with good glycemic control ( T1DM-G ) , as well as those with poor glycemic control ( T1DM-P ) , and non-diabetic , healthy controls . SUBJECTS Eight children with T1DM-G [ glycosylated hemoglobin ( HbA1c ) ≤ 7.5 % for 9 months ] , eight children with T1DM-P ( HbA1c ≥ 9.0 % for 9 months ) , and eight healthy controls completed one exercise session .  METHODS Anaerobic and aerobic muscle functions were assessed with a maximal isometric grip strength test , a Wingate test , and an incremental continuous cycling test until exhaustion . Blood sample s were collected at rest to determine HbA1c at the time of testing . Physical activity  was monitored over 7 d using accelerometry . RESULTS Children with T1DM-P displayed lower peak oxygen consumption ( VO2peak ) values ( mL/kg/min ) compared to healthy controls ( T1DM-P : 33.2 ± 5.6 , controls : 43.5 ± 6.3 , p < 0.01 ) , while T1DM-G ( 43.5 ± 6.3 ) had values similar to controls and T1DM-P. There was a negative relationship between VO2peak and HbA1c% ( r = -0.54 , p < 0.01 ) . All groups were similar in all other fitness variables . There were no group differences in physical activity variables . CONCLUSION Children with T1DM-G did not display signs of impaired muscle function , while children with T1DM-P have signs of altered aerobic muscle capacity 
    Output:
    
agent
MVPA in children/adolescents with chronic disease appear to be well below guideline recommendations , although comparable with activity levels of their healthy peers except for children with malignancies .
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: The purpose s of this study were to : 1 ) describe the patterns of screen-based sedentary behaviors  , and 2 ) examine the association between  screen-based sedentary behavior and cardiovascular disease ( CVD ) risk factors in representative Korean children and adolescents , aged 12 to 18 yr , in the Korean National Health and Nutrition Examination Survey .  Screen-based sedentary behavior  was measured using self-report question naires that included items for time spent watching TV and playing PC/video games . Physical activity  was measured using items for frequency and duration of moderate-to-vigorous physical activity ( MVPA )  . CVD risk factors such as body mass index ( BMI ) , waist circumference , LDL cholesterol , HDL cholesterol , total cholesterol , triglycerides , glucose , systolic blood pressure , and diastolic blood pressure were measured . Boys spent more time playing PC/video games , and girls spent more time watching TV . After adjusting for age , gender , annual household income , and MVPA , an additional hour of watching TV was significantly associated with the risk of overweight ( OR 1.17 [ 95 % CI 1.03 - 1.33 ] ) , high abdominal adiposity ( OR 1.27 [ 1.06 - 1.51 ] ) , and low HDL cholesterol ( OR 1.27 [ 1.10 - 1.47 ] ) . An additional hour spent playing PC/video games  also increased the risk of high abdominal adiposity ( OR 1.20 [ 1.03 - 1.40 ] ) . Prospect i ve observations and interventions are needed to determine causal relationships between  screen-based sedentary behavior  and CVD risk profiles in Korean youth PURPOSE The objectives of this study were to describe longitudinal trends in adolescent physical activity in a sample of U.S. adolescents and to assess the effect of multiple individual , parental , and environmental factors on initial level and rates of change in adolescent physical activity . METHODS Study subjects were 12,812 boys and girls 10 to 18 years of age who were participating in the Growing Up Today Study and their mothers . We used accelerated longitudinal analysis to describe trajectories of physical activity from 1997 - 1999 , and r and om effects linear mixed models to determine which factors were independently associated with baseline physical activity and changes in physical activity over time . RESULTS Mean hours of physical activity ranged from 7.3 - 11.6 hours per week in boys and from 8.0 - 11.2 hours per week in girls . Physical activity was best modeled as a quadratic function of age , increasing until early adolescence and declining after age 13 in boys and girls . Multivariable modeling demonstrated that variables associated with physical activity level at baseline in boys and girls were age , body mass index , psychosocial variables , personal attitudes about body shape , perceived peer attitudes about body shape/fitness , parental attitudes about physical activity , parental physical activity , and environmental barriers to physical activity . Age was the only factor that predicted change in physical activity over time . CONCLUSIONS Interventions to increase physical activity in adolescents should begin before adolescence . Interventions may be more effective if they are multimodal and focus on modifiable individual , parental , and environmental factors Observational longitudinal research is particularly useful for assessing etiology and prognosis and for providing evidence for clinical decision making . However , there are no structured reporting requirements for studies of this design to assist authors , editors , and readers . The authors developed and tested a checklist of criteria related to threats to the internal and external validity of observational longitudinal studies . The checklist criteria concerned recruitment , data collection , biases , and data analysis and descriptive issues relevant to study rationale , study population , and generalizability . Two raters independently assessed 49 r and omly selected articles describing stroke research published from 1999 to 2003 in six journals : American Journal of Epidemiology , Journal of Epidemiology and Community Health , Stroke , Annals of Neurology , Archives of Physical Medicine and Rehabilitation , and American Journal of Physical Medicine and Rehabilitation . On average , 17 of the 33 checklist criteria were reported . Criteria describing the study design were better reported than those related to internal validity . No relation was found between study type ( etiologic or prognostic ) or word count and quality of reporting . A flow diagram for summarizing participant flow through a study was developed . Editors and authors should consider using a checklist and flow diagram when reporting on observational longitudinal research To cite this article : Vahlkvist S , Inman MD , Pedersen S. Effect of asthma treatment on fitness , daily activity and body composition in children with asthma . Allergy 2010 ; 65 : 1464–1471 AIMS Girls with Type 1 diabetes often gain excessive weight during puberty . The aims of this study were to compare objective ly assessed physical activity  and  energy intake  in girls with Type 1 diabetes with those in healthy age-matched controls . METHODS This prospect i ve cohort study comprised 26 girls with Type 1 diabetes and 49 control girls . The mean age of the diabetic girls was 15.7 + /- 2.1 years and that of the control girls 15.8 + /- 2.1 years . In the diabetic group , mean haemoglobin A1c was 7.6 + /- 1.4 % and daily insulin dosage was 1.1 + /- 0.3 U/kg .  Physical activity was measured during 7 consecutive days with a uniaxial accelerometer , and energy intake was assessed concurrently with a 7-day food diary . RESULTS There was a tendency towards lower total amount of physical activity in the diabetes group but the difference between the study groups did not reach statistical significance ( Diabetes : 464 + /- 123 counts/min/day ; CONTROLS 523 + /- 138 counts/min/day ; P = 0.06 ) . No difference was found between the groups regarding total energy intake ( Diabetes : 8.5 + /- 1.8 MJ/day ; CONTROLS 8.4 + /- 2.6 MJ/day ) . The carbohydrate intake was lower and the protein and fibre intakes were higher in girls with diabetes . No association was observed between physical activity , energy intake and HbA1c . CONCLUSIONS In this prospect i ve cohort study , we found a tendency towards lower physical activity but no differences in energy intake between girls with Type 1 diabetes and age-matched controls . Larger studies are needed to further explore the importance of the total amount of physical activity for excessive weight gain in adolescent girls with Type 1 diabetes OBJECTIVE To compare objective ly assessed physical activity  levels , between asthmatic children and non-asthmatic controls . METHODS From a r and om community sample of 794 children aged 8 - 9 years , in a case-control design , 104 children with ever doctor 's diagnosis of asthma and 99 non-asthmatic controls were recruited and had assessment of physical activity with biaxial accelerometers for 7 days . RESULTS Children with active ( also reporting at least one episode of wheezing in the last 12 months ) and inactive ( no wheezing in past 12 months ) asthma appeared to have similar physical activity and sedentary activity levels compared to non-asthmatic children . However , girls with active asthma had significantly lower moderate-to-vigorous physical activity ( MVPA ) levels than their peers with adjusted geometric mean ratio of 0.59 ( 95 % CI : 0.369 , 0.929 , P-value = 0.024 ) . No difference in physical and sedentary activity levels was observed between asthmatic and non-asthmatic boys . The difference between genders in the comparison of MVPA levels in asthmatics and controls was statistically significant ( P-value of likelihood ratio test [ LRT ] for effect modification by gender = 0.034 ) . CONCLUSIONS Unlike boys , girls with active asthma appear to be less active than their healthy peers , and this gender difference might explain the inconsistent evidence from previous reports on physical activity levels in asthmatic children . Further studies are needed to confirm the gender interaction in the childhood asthma-physical activity relation and the implication s on current guidelines for physical exercise prescriptions in asthmatic children PURPOSE We established accelerometer count ranges for the Computer Science and Applications , Inc. ( CSA ) activity monitor corresponding to commonly employed MET categories . METHODS Data were obtained from 50 adults ( 25 males , 25 females ) during treadmill exercise at three different speeds ( 4.8 , 6.4 , and 9.7 km x h(-1 ) ) . RESULTS Activity counts and steady-state oxygen consumption were highly correlated ( r = 0.88 ) , and count ranges corresponding to light , moderate , hard , and very hard intensity levels were < or = 1951 , 1952 - 5724 , 5725 - 9498 , > or = 9499 cnts x min(-1 ) , respectively . A model to predict energy expenditure from activity counts and body mass was developed using data from a r and om sample of 35 subjects ( r2 = 0.82 , SEE = 1.40 kcal x min(-1 ) ) . Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed ( SEE = 0.50 - 1.40 kcal x min(-1 ) ) . CONCLUSIONS These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer BACKGROUND Patients with type 1 diabetes mellitus ( T1DM ) may experience poor muscle health as a result of chronic hyperglycemia . Despite this , muscle function in children with T1DM with good or poor glycemic control has yet to be examined in detail . OBJECTIVE To assess differences in muscle-related fitness variables in children with T1DM with good glycemic control ( T1DM-G ) , as well as those with poor glycemic control ( T1DM-P ) , and non-diabetic , healthy controls . SUBJECTS Eight children with T1DM-G [ glycosylated hemoglobin ( HbA1c ) ≤ 7.5 % for 9 months ] , eight children with T1DM-P ( HbA1c ≥ 9.0 % for 9 months ) , and eight healthy controls completed one exercise session .  METHODS Anaerobic and aerobic muscle functions were assessed with a maximal isometric grip strength test , a Wingate test , and an incremental continuous cycling test until exhaustion . Blood sample s were collected at rest to determine HbA1c at the time of testing . Physical activity  was monitored over 7 d using accelerometry . RESULTS Children with T1DM-P displayed lower peak oxygen consumption ( VO2peak ) values ( mL/kg/min ) compared to healthy controls ( T1DM-P : 33.2 ± 5.6 , controls : 43.5 ± 6.3 , p < 0.01 ) , while T1DM-G ( 43.5 ± 6.3 ) had values similar to controls and T1DM-P. There was a negative relationship between VO2peak and HbA1c% ( r = -0.54 , p < 0.01 ) . All groups were similar in all other fitness variables . There were no group differences in physical activity variables . CONCLUSION Children with T1DM-G did not display signs of impaired muscle function , while children with T1DM-P have signs of altered aerobic muscle capacity 
    Output:
    