TV in bedroom, outdoor playtime and obesity status among preschool girls

Abstract Background Little is known about the progression of obesity from childhood to adolescence. This study aimed to longitudinally examine the obesity status in a cohort of children across their childhood and adolescence, and to identify the factors associated with persistent obesity. Methods The study used data from School Physical Fitness Award Scheme (SPFAS), a population-based programme in Hong Kong primary and secondary schools. Students were included if they participated in the SPFAS in both 2014 (Primary 1 and 2) and 2018 (Primary 5 and 6). Their anthropometric and physical fitness parameters were analyzed. Results A total of 18,863 students were included. The baseline prevalence of obesity was 5.7 %. After 4 years, the prevalence increased to 6.7 %. Among those with obesity at baseline, 35.3 % remained obese after 4 years. The addition of baseline physical fitness level did not improve the prediction for persistent obesity. Conclusions One-third of obese students in junior primary school remained to be obese into adolescence. Their baseline physical fitness level did not improve the predictive value for future obesity. Further studies should investigate the prognostic factors that may influence the natural course of childhood obesity.

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The Arkansas Active Kids Study: Identifying contributing factors to metabolic health and obesity status in prepubertal school-age children

Nutrition and Health ◽

10.1177/0260106020975571 ◽

2020 ◽

pp. 026010602097557

Author(s):

Shasha Bai ◽

Anthony Goudie ◽

Elisabet Børsheim ◽

Judith L Weber

Keyword(s):

Physical Activity ◽

Vital Signs ◽

Statistical Analysis Plan ◽

Metabolic Health ◽

Environmental Data ◽

School Age Children ◽

School Age ◽

Contributing Factors ◽

Activity Data ◽

Obesity Status

Background: We report the design, protocol and statistical analysis plan for the Arkansas Active Kids (AAK) Study. The study investigates the complex relationships between factors that contribute to metabolic health and obesity status in prepubertal school-age children in the state of Arkansas. Aim: We aim to identify modifiable behavioral and environmental factors and phenotypes related to metabolic health that are associated with obesity status that, if addressed effectively, can aid in designing effective intervention strategies to improve fitness and reduce obesity in children. Methods: We analyzed dietary and physical activity data from two national surveys (National Survey of Children’s Health and Youth Risk Behavior Surveillance System). We then conducted detailed surveys to collect dietary, physical activity, socio-demographic, and environmental data from a sample of 226 prepubertal Arkansas children. In the same sample of prepubertal children, we also collected extensive physiologic data to further study associations between physical activity and metabolic health. Results: All study visits included detailed measures of vital signs, energy expenditure, components of physical fitness, body composition and the collection of biological samples for determination of metabolic analytes. Conclusion: The observational, environmental and physiological results will be used to craft multivariate statistical models to identify which variables define ‘phenotype signatures’ that associate with fitness level and obesity status.

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AB0421 EFFECT OF BODY WEIGHT ON COMPLEMENT LEVELS IN SYSTEMIC LUPUS ERYTHEMATOSUS

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.4097 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 1510.3-1510

Author(s):

L. Kondrateva ◽

T. Popkova ◽

E. Nasonov ◽

A. Lila

Keyword(s):

Systemic Lupus Erythematosus ◽

Disease Activity ◽

Lupus Erythematosus ◽

Disease Duration ◽

Normal Weight ◽

World Health ◽

Systemic Lupus ◽

Obesity Status ◽

Health Organization ◽

The Complement System

Background:The complement system is a recognized biomarker for diagnosis or monitoring of disease activity in systemic lupus erythematosus (SLE) patients (pts). But on the other hand, it has been linked to insulin resistance and obesity in general population.Objectives:To find out whether overweight/obesity can modify C3 or C4 levels in SLE pts.Methods:A total of 92 SLE pts (83 women, 9 men, 39 [34;47] years old) were enrolled in the study. Median disease duration was 6[2;14] years, and SLE activity using SLEDAI-2K was 4[2;8]. SLE pts were treated with glucocorticoids (89%), hydroxychloroquine (78%), immunosuppressants (28%), biologics (10%). The overweight/obesity status was determined by World Health Organization criteria in patients with body mass index (BMI) ≥25kg/m2.Results:Overweight/obesity were established in 46% SLE pts. Overweight/obese SLE pts were older than pts with normal BMI (40[36;48] vs 37[31;44] years, р=0,02), and had lower SLEDAI-2K (3[2;6] vs 6[4;8], p<0,01). Lower C3 concentrations were found in 36% overweight/obese pts vs 68% pts with normal weight (р<0,01), decreased C4 levels - in 19% vs 30% pts (p=0,33), median C3 concentrations were 0,98[0,81;1,14] g/l vs 0,84[0,69;0;96] g/l (р<0,01), and C4 levels were 0,15[0,10;0,19] g/l vs 0,12[0,09;0,16] g/l, respectively (p=0,03). C3 and C4 levels negatively correlated with SLEDAI-2K (r=-0,5, p<0,01 for both), the effect was more strongly pronounced in patients with BMI≥25kg/m2 (r=-0,6, p<0,01 for both) than in those with normal weight (r=-0,2, p=0,09 for C3, r=-0,3, p=0,04 for C4).Conclusion:Overweight/obesity status in SLE pts was associated with increased levels of complement proteins, therefore decreased C3 or C4 levels in patients with BMI≥25kg/m2 are more likely related to disease activity and, can potentially induce SLE flares.Disclosure of Interests: :None declared

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Multivitamins and Nutritional Adequacy in Middle-Aged to Older Americans by Obesity Status

Journal of Dietary Supplements ◽

10.1080/19390211.2019.1645785 ◽

2019 ◽

Vol 17 (6) ◽

pp. 684-697 ◽

Cited By ~ 1

Author(s):

Cara L. Frankenfeld ◽

Taylor C. Wallace

Keyword(s):

Middle Aged ◽

Nutritional Adequacy ◽

Older Americans ◽

Obesity Status

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Population Pharmacokinetics of Doxycycline in Children

Antimicrobial Agents and Chemotherapy ◽

10.1128/aac.01508-19 ◽

2019 ◽

Vol 63 (12) ◽

Author(s):

Elizabeth J. Thompson ◽

Huali Wu ◽

Chiara Melloni ◽

Stephen Balevic ◽

Janice E. Sullivan ◽

...

Keyword(s):

Model Performance ◽

Standard Of Care ◽

Volume Of Distribution ◽

Clinical Value ◽

Final Model ◽

Childhood Infections ◽

Obesity Status ◽

Improve Model ◽

Using Data ◽

Improve Model Performance

ABSTRACT Doxycycline is a tetracycline-class antimicrobial labeled by the U.S. Food and Drug Administration for children >8 years of age for many common childhood infections. Doxycycline is not labeled for children ≤8 years of age, due to the association between tetracycline-class antibiotics and tooth staining, although doxycycline may be used off-label under severe conditions. Accordingly, there is a paucity of pharmacokinetic (PK) data to guide dosing in children 8 years and younger. We leveraged opportunistically collected plasma samples after intravenous (i.v.) and oral doxycycline doses received per standard of care to characterize the PK of doxycycline in children of different ages and evaluated the effect of obesity and fasting status on PK parameters. We developed a population PK model of doxycycline using data collected from 47 patients 0 to 18 years of age, including 14 participants ≤8 years. We developed a 1-compartment PK model and found doxycycline clearance to be 3.32 liters/h/70 kg of body weight and volume to be 96.8 liters/70 kg for all patients, comparable to values reported in adults. We estimated a bioavailability of 89.6%, also consistent with adult data. Allometrically scaled clearance and volume of distribution did not differ between children 2 to ≤8 years of age and children >8 to ≤18 years of age, suggesting that younger children may be given the same per-kilogram dosing. Obesity status and fasting status were not selected for inclusion in the final model. Additional doxycycline PK samples collected in future studies may be used to improve model performance and maximize its clinical value.

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