Evidence map›Paper›PMID 28725261›Full record

ReviewChild and adolescent psychiatry and mental health2017

Health risk behavior among chronically ill adolescents: a systematic review of assessment tools.

Derrick Ssewanyana, Moses Kachama Nyongesa, Anneloes van Baar, Charles R Newton, Amina Abubakar

Abstract readReview
In one paragraph

Review in Child and adolescent psychiatry and mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Trends in Health-Risk Behaviors among Chinese Adolescents.International journal of environmental research and public health · 2019
    Article
  3. Article
  4. 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

5 authors.

Derrick SsewanyanaCentre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya.ORCID 0000-0002-7848-7643
Moses Kachama NyongesaCentre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya.
Anneloes van BaarUtrecht Centre for Child and Adolescent Studies, Utrecht University, Utrecht, The Netherlands.
Charles R NewtonCentre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya.
Amina AbubakarCentre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya.

Funding

Medical Research Council MR/M025454/1Wellcome Trust
6 · The paper itself

Abstract

backgroundAdolescents living with chronic illnesses engage in health risk behaviors (HRB) which pose challenges for optimizing care and management of their ill health. Frequent monitoring of HRB is recommended, however little is known about which are the most useful tools to detect HRB among chronically ill adolescents.

aimsThis systematic review was conducted to address important knowledge gaps on the assessment of HRB among chronically ill adolescents. Its specific aims were to: identify HRB assessment tools, the geographical location of the studies, their means of administration, the psychometric properties of the tools and the commonest forms of HRB assessed among adolescents living with chronic illnesses globally.

methodsWe searched in four bibliographic databases of PubMed, Embase, PsycINFO and Applied Social Sciences Index and Abstracts for empirical studies published until April 2017 on HRB among chronically ill adolescents aged 10-17 years.

resultsThis review indicates a major dearth of research on HRB among chronically ill adolescents especially in low income settings. The Youth Risk Behavior Surveillance System and Health Behavior in School-aged Children were the commonest HRB assessment tools. Only 21% of the eligible studies reported psychometric properties of the HRB tools or items. Internal consistency was good and varied from 0.73 to 0.98 whereas test-retest reliability varied from unacceptable (0.58) to good (0.85). Numerous methods of tool administration were also identified. Alcohol, tobacco and other drug use and physical inactivity are the commonest forms of HRB assessed.

conclusionEvidence on the suitability of the majority of the HRB assessment tools has so far been documented in high income settings where most of them have been developed. The utility of such tools in low resource settings is often hampered by the cultural and contextual variations across regions. The psychometric qualities were good but only reported in a minority of studies from high income settings. This result points to the need for more resources and capacity building for tool adaptation and validation, so as to enhance research on HRB among chronically ill adolescents in low resource settings.

Indexed as

AdolescentsAssessment toolsChronic illnessHealth risk behaviorLifestyleTool adaptation

Identifiers

PMID28725261
PMCPMC5512752

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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.