ArticleMMWR. Morbidity and mortality weekly report2014
Diagnosis and screening for obesity-related conditions among children and teens receiving Medicaid--Maryland, 2005-2010.
Article in MMWR. Morbidity and mortality weekly report, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 11 citations in OpenAlex.
- Trends in off-label use of antipsychotic medications among Texas Medicaid children and adolescents from 2013 to 2016.Journal of managed care & specialty pharmacy · 2021Article
- Impact of Body Mass Index on Postconcussion Symptoms in Teenagers Aged 13 to 18 Years.The Permanente journal · 2018Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of obesity among children and adolescents in the United States tripled during 1980-2008 and plateaued during 2008-2010. This rise in obesity was associated with a rise in chronic conditions previously observed mostly in adults, including hypertension, hypercholesterolemia, and type 2 diabetes. In 2007, the American Academy of Pediatrics published Expert Committee recommendations for universal screening for overweight and targeted laboratory screening for metabolic disorders among children and adolescents with a body mass index (BMI) at or above the 85th percentile based on age or presence of certain risk factors. To assess the prevalence of overweight and obesity among children and teens enrolled in Maryland Medicaid or the Maryland Children's Health Program (MCHP) and whether or not the children were being screened for obesity-related conditions according to the Expert Committee recommendations, investigators from the Maryland Department of Health and Mental Hygiene computed BMI percentiles for age and sex on a random sample of persons aged 2-19 years enrolled in Maryland Medicaid or MCHP whose height and weight were measured during a well-child visit. Encounter records were used to identify obesity-related conditions and screening laboratory tests received. This study found that 16.5% of participants were overweight (BMI in the 85th-94th percentiles) and 21.4% were obese (BMI at or above the 95th percentile). Obesity was highest among those aged 12-19 years (25.6%) and among Hispanics (28.1%). The diagnosis of obesity-related conditions increased significantly with increasing BMI, with 33.5% of obese participants diagnosed with asthma, 7.9% diagnosed with dyslipidemia, and 7.2% diagnosed with depression. Only 29.9% of overweight and 40.2% of obese participants received a lipid panel test. The results of this investigation were communicated to pediatric, public health, and managed-care leaders. Efforts to communicate the need to increase obesity screening and laboratory testing among this population should continue.
Indexed as
Identifiers
24717817PMC5779377W2420145299What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.