Evidence map›Paper›PMID 33317507›Full record

ArticleBMC public health2020

Non-communicable diseases among adolescents: current status, determinants, interventions and policies.

N Akseer, S Mehta, J Wigle, R Chera, Z J Brickman, S Al-Gashm, B Sorichetti, A Vandermorris, D B Hipgrave, N Schwalbe and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 6 pooled it
16.1field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 6 syntheses or guidelines pooled it, 189 citations in OpenAlex.

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43 more citing papers are in PubMed but not listed here.

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 5 institutions in 3 countries.

N AkseerCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada. nadia.akseer@gmail.com.ORCID http://orcid.org/0000-0002-1229-2640
S MehtaCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
J WigleCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
R CheraCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
Z J BrickmanCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
S Al-GashmCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
B SorichettiCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
A VandermorrisCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
D B HipgraveUNICEF, New York, USA.
N SchwalbeSpark Consulting, New York, USA.
Z A BhuttaCentre for Global Child Health, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
Hospital for Sick Children · CAUniversity of Toronto · CAAga Khan University · PKSpark Therapeutics (United States) · USUnited Nations Children's Fund · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAddressing non-communicable disease (NCDs) is a global priority in the Sustainable Development Goals, especially for adolescents. However, existing literature on NCD burden, risk factors and determinants, and effective interventions and policies for targeting these diseases in adolescents, is limited. This study develops an evidence-based conceptual framework, and highlights pathways between risk factors and interventions to NCD development during adolescence (ages 10-19 years) and continuing into adulthood. Additionally, the epidemiologic profile of key NCD risk factors and outcomes among adolescents and preventative NCD policies/laws/legislations are examined, and a multivariable analysis is conducted to explore the determinants of NCDs among adolescents and adults.

methodsWe reviewed literature to develop an adolescent-specific conceptual framework for NCDs. Global data repositories were searched from Jan-July 2018 for data on NCD-related risk factors, outcomes, and policy data for 194 countries from 1990 to 2016. Disability-Adjusted Life Years were used to assess disease burden. A hierarchical modeling approach and ordinary least squares regression was used to explore the basic and underlying causes of NCD burden.

resultsMental health disorders are the most common NCDs found in adolescents. Adverse behaviours and lifestyle factors, specifically smoking, alcohol and drug use, poor diet and metabolic syndrome, are key risk factors for NCD development in adolescence. Across countries, laws and policies for preventing NCD-related risk factors exist, however those targeting contraceptive use, drug harm reduction, mental health and nutrition are generally limited. Many effective interventions for NCD prevention exist but must be implemented at scale through multisectoral action utilizing diverse delivery mechanisms. Multivariable analyses showed that structural/macro, community and household factors have significant associations with NCD burden among adolescents and adults.

conclusionsMulti-sectoral efforts are needed to target NCD risk factors among adolescents to mitigate disease burden and adverse outcomes in adulthood. Findings could guide policy and programming to reduce NCD burden in the sustainable development era.

Indexed as

Noncommunicable DiseasesAdolescentAdultChildCost of IllnessHumansQuality-Adjusted Life YearsRisk FactorsSustainable DevelopmentYoung AdultAdolescentsDeterminantsNon-communicable diseasesPoliciesRisk factors

Identifiers

PMID33317507
PMCPMC7734741
OpenAlexW3110853875

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.