Evidence map›Paper›PMID 31013841›Full record

ReviewBehavioral sciences (Basel, Switzerland)2019

Home-Based Interventions to Treat and Prevent Childhood Obesity: A Systematic Review and Meta-Analysis.

Rian Adi Pamungkas, Kanittha Chamroonsawasdi

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 6 pooled it
4.2field-weighted citation impact, top 6% 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, 6 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. The impact of summer vacation on children's obesogenic behaviors and body mass index: a natural experiment.The international journal of behavioral nutrition and physical activity · 2020
    Observational
  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

2 authors at 2 institutions in 2 countries.

Rian Adi PamungkasDepartment of Nursing, Faculty of Health Sciences, Esa Unggul University, Jakarta, Indonesia. rian.adi@esaunggul.ac.id.
Kanittha ChamroonsawasdiDepartment of Family Health, Faculty of Public Health, Mahidol University, Bangkok, Thailand. kanittha.cha@mahidol.ac.th.
Mahidol University · THUniversitas Esa Unggul · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood obesity has adverse impacts on premature mortality and morbidity. Managing obesity could prevent premature mortality and several types of complications among high-risk groups. This study aimed to review and examine the effects of home-based interventions to treat and prevent childhood obesity. Three databases, i.e., PubMed, Scopus, and Science Direct, were included to extract articles related to the topic. The terms "childhood obesity", "home-based intervention", "parental program", and "parental involvement" were used as the primary keywords. Appraisal of the systematic review was based on PRISMA formats. Of 1556 publications identified, 22 studies fulfilled the inclusion criteria and were appropriate to conduct a meta-analysis. Overall, the home-based interventions reduced the body mass index (BMI) z-score by 36.99% (z = 36.99,

Indexed as

childhood obesityhome-based interventionmeta-analysis

Identifiers

PMID31013841
PMCPMC6523065
OpenAlexW2938132227

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.