Evidence map›Paper›PMID 30840194›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2019

Psychosocial measures and weight change in a clinical paediatric population with obesity.

Brooke E Harcourt, Anke Pons, Kung-Ting Kao, Celia Twindyakirana, Erin Alexander, Sarah Haberle, Zoe McCallum, Matthew A Sabin

Abstract read
PubMed Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. The Association Between Affect and Adiposity in Childhood and Adolescence: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Mental health outcomes of a pediatric-focused obesity randomized control trial in rural communities.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025
    Trial
  3. 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

8 authors at 3 institutions in 1 country.

Brooke E HarcourtObesity Research, Murdoch Childrens Research Institute, Parkville, VIC, Australia. brooke.harcourt@mcri.edu.au.ORCID http://orcid.org/0000-0003-0028-873X
Anke PonsObesity Research, Murdoch Childrens Research Institute, Parkville, VIC, Australia.
Kung-Ting KaoObesity Research, Murdoch Childrens Research Institute, Parkville, VIC, Australia.
Celia TwindyakiranaObesity Research, Murdoch Childrens Research Institute, Parkville, VIC, Australia.
Erin AlexanderObesity Research, Murdoch Childrens Research Institute, Parkville, VIC, Australia.
Sarah HaberleDepartment of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia.
Zoe McCallumDepartment of Endocrinology and Diabetes, The Royal Children's Hospital, Parkville, VIC, Australia.
Matthew A SabinObesity Research, Murdoch Childrens Research Institute, Parkville, VIC, Australia.
Royal Children's Hospital · AUMurdoch Children's Research Institute · AUThe University of Melbourne · AU

Funding

National Health and Medical Research Council 1072086
6 · The paper itself

Abstract

purposePoor quality of life has been shown to occur in youth with obesity. This study aimed to assess associations between health-related quality of life, general mental health and general psychological distress measures, collectively termed psychosocial health questionnaires (PSH), with weight outcomes in a busy paediatric weight management service.

methodsA cross-sectional longitudinal clinical cohort, 'Childhood Overweight BioRepository of Australia (COBRA)', was used (n = 250, median age 11, range 2-18 year, mean BMI z-score 2.5 ± 0.2). Clinical data were collected and HRQOL questionnaires; Pediatric Quality of Life 4.0 (PedsQL), 'Sizing Me/Them Up' (SMU/STU), and psychological well-being questionnaires; strengths and difficulties questionnaire (SDQ) and Kessler 10 (K10) were completed by the child and primary caregiver. PSH results were compared to age- and sex-adjusted BMI z-score at baseline and follow-up. Direct logistic regression modelling was performed to assess the impact of PSH factors on the likelihood of successful weight reduction over a period of ≥ 12 months.

resultsMean self-report PSH scores were: 68.0 ± 15.28 (PedsQL, range 0-100), 64.8 ± 15.8, (SMU, range 0-100), 17.3 ± 4.4 (SDQ, range 0-40) and 20.0 ± 7.7 (K10, range 0-50). A significant negative correlation was observed between PSH scores and childhood obesity (baseline BMI z-scores (p < 0.01)). No correlations were observed between psychological well-being measures and BMI z-scores. Higher subscale scores of the PedsQL and SDQ, which measure impaired psychosocial health and more difficulties with hyperactivity and inattention, significantly predict weight loss in children with obesity after 12 months.

conclusionPSH questionnaires may be useful in identifying individuals who require additional support to achieve weight loss goals in a tertiary weight management service.

Indexed as

Body Mass IndexAdolescentBody WeightChildChild, PreschoolCross-Sectional StudiesFemaleHumansLongitudinal StudiesMalePediatric ObesityQuality of LifeSelf ReportSurveys and QuestionnairesHealth-related quality of lifePaediatric obesityWeight management

Identifiers

PMID30840194
OpenAlexW2919362132

What OpenQuestion holds

Textmetadata
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.