Evidence map›Paper›PMID 29770124›Full record

ArticleFrontiers in endocrinology2018

Does Family History of Obesity, Cardiovascular, and Metabolic Diseases Influence Onset and Severity of Childhood Obesity?

Domenico Corica, Tommaso Aversa, Mariella Valenzise, Maria Francesca Messina, Angela Alibrandi, Filippo De Luca, Malgorzata Wasniewska

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

7 authors at 1 institution in 1 country.

Domenico CoricaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Tommaso AversaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Mariella ValenziseDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Maria Francesca MessinaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Angela AlibrandiDepartment of Economics, Unit of Statistical and Mathematical Science, University of Messina, Messina, Italy.
Filippo De LucaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
Malgorzata WasniewskaDepartment of Human Pathology of Adulthood and Childhood, Unit of Pediatrics, University of Messina, Messina, Italy.
University of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objectives were to evaluate (1) the metabolic profile and cardiometabolic risk in overweight/obese children at first assessment, stratifying patients according to severity of overweight and age; and (2) to investigate the relationship between family history (FH) for obesity and cardiometabolic diseases and severity of childhood obesity.

methodsIn this cross-sectional, retrospective, observational study, 260 children (139 female), aged between 2.4 and 17.2 years, with overweight and obesity were recruited. Data regarding FH for obesity and cardiometabolic diseases were collected. Each patient underwent clinical and auxological examination and fasting blood sampling for metabolic profile. Homeostasis model assessment of insulin resistance (HOMA-IR), triglyceride-to-high-density lipoprotein cholesterol ratio, and atherogenic index of plasma were calculated. To evaluate the severity of obesity, children were divided into two groups for BMI standard deviation (SD) ≤2.5 and BMI SD >2.5. Moreover, study population was analyzed, dividing it into three groups based on the chronological age of patient (<8, 8-11, >11 years).

resultsBMI SD was negatively correlated with chronological age (

conclusion(1) Family history of obesity and cardiometabolic diseases are important risk factors for precocious obesity onset in childhood and are related to the severity of obesity. (2) Metabolic profile, especially HOMA-IR, is altered even among the youngest obese children at first evaluation. (3) Stratification of obesity severity, using BMI SD, is effective to estimate the cardiometabolic risk of patients.

Indexed as

body mass indexcardiometabolic riskchildhood obesityinsulin resistanceparental obesity

Identifiers

PMID29770124
PMCPMC5941161
OpenAlexW2800575273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.