Evidence map›Paper›PMID 27015176›Full record

ArticleMedicine2016

Adolescent BMI at Northern Israel: From Trends, to Associated Variables and Comorbidities, and to Medical Signatures.

Yossy Machluf, Daniel Fink, Rivka Farkash, Ron Rotkopf, Avinoam Pirogovsky, Orna Tal, Tamar Shohat, Giora Weisz, Erez Ringler, David Dagan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
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  8. A large population study reveals a novel association between congenital color vision deficiency and environmental factors.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
    Article
  9. Review
  10. Can childhood obesity influence later chronic kidney disease?Pediatric nephrology (Berlin, Germany) · 2019
    Review
  11. Individual and Environmental Factors Associated with Proteinuria in Korean Children: A Multilevel Analysis.International journal of environmental research and public health · 2019
    Article
  12. Article
  13. Article
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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

11 authors at 1 institution in 1 country.

Yossy MachlufFrom the Medical Corps, Israel Defense Forces (IDF) (YM, DF, AP, ER, DD, YC), Tel HaShomer; The Weizmann Institute of Science (YM, RR), Rehovot; Shaare Zedek Medical Center (DF, RF, GW), Jerusalem; Schneider Children Medical Center (AP), Petach Tikvah; Assaf Harofeh Medical Center (OT), Zerifin; Israel Center for Disease Control (TS), Ministry of Health, Tel Aviv; Sackler School of Medicine (TS), Tel Aviv University, Tel Aviv, Israel.
Daniel Fink
Rivka Farkash
Ron Rotkopf
Avinoam Pirogovsky
Orna Tal
Tamar Shohat
Giora Weisz
Erez Ringler
David Dagan
Yoram Chaiter
Assaf Harofeh Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of abnormal body mass index (BMI), mainly obesity, is becoming a significant public health problem. This cross-sectional study aimed to provide a comprehensive view of secular trends of BMI, and the associated socio-demographic variables and comorbidities among adolescents with abnormal BMI. Individuals of the study population were born mainly between 1970 and 1993, and were examined at 16 to 19 years of age during the years 1987 to 2010, at 1 conscription center in the northern district of Israel.The study population included 113,694 adolescents. Univariate and multivariable logistic regression models were used to investigate the associations between BMI categories, socio-demographic variables, and medical conditions.A downward trend in the prevalence of normal BMI among both male and female adolescents was obtained, while trends of overweight and obesity (in both genders) and underweight (only among females) rose. Socio-demographic variables such as religion, education, family-related parameters, residential environment, country of birth, and origin were all associated with different risks for abnormal BMI. Obesity was associated with higher risk for hyperlipidemia, endocrine disorders (only in males), knee disorders, and hypertension type I + II (in both genders). Overweight was associated with knee disorders (only in females). Underweight, exclusively in males, was associated with increased risk for endocrine disorders, proteinuria, and cardiac disorders. Hierarchical clustering analysis revealed the intricate relations between gender, BMI, and medical signatures. It brought to light novel clusters of diseases that were abundant among populations having above-normal BMI or underweight males. Furthermore, above-normal BMI was associated with a lower rate of cardiac anomalies and scoliosis/kyphosis, whereas being underweight was associated with a lower risk for hypertension and flat foot.This study provides a reliable and in-depth view of secular trends in height, weight, and BMI of male and female adolescents. It supports previous associations between abnormal BMI and demographic variables and comorbidities, while uncovering novel associations, mainly regarding medical signatures of each gender-BMI group. This might lead to better monitoring, early detection, prevention, and treatment of various conditions associated to abnormal BMI categories and gender groups.

Indexed as

Body Mass IndexAdolescentComorbidityCross-Sectional StudiesFemaleHumansIsraelMaleMilitary PersonnelOverweightPediatric ObesityRisk FactorsThinnessYoung Adult

Identifiers

PMID27015176
PMCPMC4998371
OpenAlexW2331701367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.