Evidence map›Paper›PMID 36721619›Full record

ArticleCureus2022

Obesity in the Pediatric Population of the National (Nationwide) Inpatient Sample (NIS), USA.

Okelue E Okobi, Ijeoma C Izundu, Endurance O Evbayekha, Emmanuel O Egberuare, Esther O Segun, Rafiat A Abdulgaffar, Babatunde O Oyelade, Jenny J Onyema, Tariladei S Peresuodei, Scholastica Uyileubenye Abu-Undiyaundeye

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 19 citations in OpenAlex.

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  16. Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States.Cardiovascular revascularization medicine : including molecular interventions · 2021
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  19. Sleep disorder diagnoses and clinical outcomes among hospitalized breast cancer patients: a nationwide inpatient sample study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Okelue E OkobiFamily Medicine, Arizona State University, Tempe, USA.
Ijeoma C IzunduPediatrics and Child Health, iheed, Royal College of Physicians of Ireland (RCPI), Dublin, IRL.
Endurance O EvbayekhaInternal Medicine, St. Luke's Hospital, Chesterfield, USA.
Emmanuel O EgberuareUrology, Prostate Cancer Center, Calgary, CAN.
Esther O SegunSchool of Biological Sciences & Applied Chemistry, Seneca College, Toronto , CAN.
Rafiat A AbdulgaffarCommunicable Disease Control, Alberta Health Services, Calgary, Calgary, CAN.
Babatunde O OyeladeCardiology, Emory University, Atlanta , USA.
Jenny J OnyemaInternal Medicine, Igbinedion University, Benin, NGA.
Tariladei S PeresuodeiMedicine, Kent and Canterbury Hospital, Canterbury, GBR.
Scholastica Uyileubenye Abu-UndiyaundeyeFamily Medicine, Madonna University, Elele, NGA.
Arizona State University · USSt. Luke's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of childhood obesity has received a lot of attention lately, especially in the United States. The increased prevalence of pediatric obesity and its association with comorbidities has piqued the attention of more scientists in the epidemic's patterns. Our research examined the National (Nationwide) Inpatient Sample (NIS) data set for hospitalized persons aged 18 years or younger with primary or secondary obesity between 2016 and 2019 to investigate the prevalence, risk factors, and related diseases.

methodsWe retrospectively examined individuals with primary or secondary obesity from 2016 to 2019 using the NIS database. To extract the weighted samples, we utilized the International Classification of Diseases (ICD)-10 diagnostic codes E66, E660, E6601, E6609, E662, E668, and E669. Individuals with drug-related obesity or obesity caused by a recognized pathologic disease unrelated to high-calorie intake were excluded. First, we queried the total population, then separated them by age category and picked our population of interest, i.e., those aged 18 and under. The NIS is a deidentified database available to the public. It collects data on around 8 million hospitalizations annually, accounting for roughly 20% of all admissions in the United States.  Results: The findings show that between 2016 and 2019, prevalence rates of childhood obesity were still on the rise and plateaued in 2019. There were 28,484,087 study subjects in this weighted sample between 2016 and 2019. Of these, 13.9% (3,946,889) were diagnosed with obesity. The sample population for those 18 years of age or under was 62,669 (1.5%) children with obesity with a mean age of 14 (SD = 4). Also, there was a 64.2% female preponderance. The obtained yearly showed a steady and significant rise from 2016 to 2018 (24% vs. 26%), with a slight decline in 2019 (25%; p < 0.001). Even though the white population had the highest overall prevalence of childhood obesity (40.9%), the Hispanic and black people had a higher prevalence per population, with a 0.5% and 0.33% prevalence, respectively, compared to 0.14% in the white population (p < 0.0001). When geographical regions were considered, south had the highest rate (36.40%), followed by the west (24.71%) and the midwest (23.56%). The analysis also showed that people with lower median household income (0-25th percentile) had the highest rate of childhood obesity (38.17%) compared to higher-income earners (13.19%).

conclusionIn our finding, obesity in the pediatric population is still increasing, continuing on its previously recorded trajectory. Various recommendations from health policymakers have bolstered efforts to tackle this escalating pandemic. However, additional information on the compliance, use, and adherence to these policies by healthcare professionals and members of the public, as well as the consequence of utilization or compliance to these guidelines, is needed. Nevertheless, given the continuous growth of childhood obesity, despite the avalanche of these recommendations, the issue of compliance arises, or other essential risk factors might have been overlooked. Additional studies may be needed to unmask this looming phenomenon.

Indexed as

“childhood obesity morbidity”childhood overweightcommunity obesityobesityoverweight and obesity

Identifiers

PMID36721619
PMCPMC9884308
OpenAlexW4313357538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.