Evidence map›Paper›PMID 32867606›Full record

ArticleGlobal health action2020

Implications of COVID-19 control measures for diet and physical activity, and lessons for addressing other pandemics facing rapidly urbanising countries.

Tolu Oni, Lisa K Micklesfield, Pamela Wadende, Charles O Obonyo, James Woodcock, Ebele R I Mogo, Feyisayo A Odunitan-Wayas, Felix Assah, Lambed Tatah, Louise Foley and 13 more

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 2% 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, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

23 authors at 7 institutions in 5 countries.

Tolu OniMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.ORCID 0000-0003-4499-1910
Lisa K MicklesfieldSouth African MRC/Wits Developmental Pathways for Health Research Unit (DPHRU, University of Witwatersrand , Johannesburg, South Africa.ORCID 0000-0002-4994-0779
Pamela WadendeSchool of Education and Human Resource Development, Kisii University , Kisii, Kenya.
Charles O ObonyoCentre for Global Health Research, Kenya Medical Research Institute , Kisusmu, Kenya.ORCID 0000-0003-0741-8533
James WoodcockMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.ORCID 0000-0003-4769-5375
Ebele R I MogoMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.ORCID 0000-0003-0880-0750
Feyisayo A Odunitan-WayasResearch Centre for Health through Physical Activity, Lifestyle and Sport (HPALS, University of Cape Town , Cape Town, South Africa.ORCID 0000-0002-0966-3834
Felix AssahHealth of Populations in Transition (HoPiT, University of Yaoundé , Yaounde, Cameroon.ORCID 0000-0003-3301-6028
Lambed TatahMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.ORCID 0000-0002-8967-6917
Louise FoleyMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.ORCID 0000-0003-3028-7340
Clarisse Mapa-TassouHealth of Populations in Transition (HoPiT, University of Yaoundé , Yaounde, Cameroon.ORCID 0000-0002-0709-1449
Divya BhagtaniMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.
Amy WeimannResearch Initiative for Cities Health and Equity (RICHE), School of Public Health and Family Medicine, University of Cape Town , Cape Town, South Africa.
Camille MbaMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.
Nigel UnwinMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.
Anna Brugulat-PanésMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.
Karen J HofmanSouth African MRC Centre for Health Economics and Decision Science (PRICELESS SA), Faculty of Health Sciences, School of Public Health, University of Witwatersrand , Johannesburg, South Africa.ORCID 0000-0001-9512-7220
Joanne SmithCaribbean Institute for Health Research, The University of West Indies , Kingston, Jamaica.ORCID 0000-0001-9578-8520
Marshall Tulloch-ReidCaribbean Institute for Health Research, The University of West Indies , Kingston, Jamaica.
Agnes ErzseSouth African MRC Centre for Health Economics and Decision Science (PRICELESS SA), Faculty of Health Sciences, School of Public Health, University of Witwatersrand , Johannesburg, South Africa.ORCID 0000-0001-9303-9323
Maylene Shung-KingResearch Initiative for Cities Health and Equity (RICHE), School of Public Health and Family Medicine, University of Cape Town , Cape Town, South Africa.
Estelle V LambertResearch Centre for Health through Physical Activity, Lifestyle and Sport (HPALS, University of Cape Town , Cape Town, South Africa.ORCID 0000-0003-4315-9153
Nicholas J WarehamMRC Epidemiology Unit, University of Cambridge , Cambridge, UK.
University of Cambridge · GBUniversity of Cape Town · ZAUniversité de Yaoundé I · CMUniversity of the Witwatersrand · ZAUniversity of the West Indies · JMKenya Medical Research Institute · KEKisii University · KE

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
FIC NIH HHS D43 TW010540Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_12015/1
6 · The paper itself

Abstract

At the time of writing, it is unclear how the COVID-19 pandemic will play out in rapidly urbanising regions of the world. In these regions, the realities of large overcrowded informal settlements, a high burden of infectious and non-communicable diseases, as well as malnutrition and precarity of livelihoods, have raised added concerns about the potential impact of the COVID-19 pandemic in these contexts. COVID-19 infection control measures have been shown to have some effects in slowing down the progress of the pandemic, effectively buying time to prepare the healthcare system. However, there has been less of a focus on the indirect impacts of these measures on health behaviours and the consequent health risks, particularly in the most vulnerable. In this current debate piece, focusing on two of the four risk factors that contribute to >80% of the NCD burden, we consider the possible ways that the restrictions put in place to control the pandemic, have the potential to impact on dietary and physical activity behaviours and their determinants. By considering mitigation responses implemented by governments in several LMIC cities, we identify key lessons that highlight the potential of economic, political, food and built environment sectors, mobilised during the pandemic, to retain health as a priority beyond the context of pandemic response. Such whole-of society approaches are feasible and necessary to support equitable healthy eating and active living required to address other epidemics and to lower the baseline need for healthcare in the long term.

Indexed as

DietExerciseUrbanizationUrban PopulationBetacoronavirusBuilt EnvironmentCommunicable Disease ControlCoronavirus InfectionsCOVID-19Food SupplyHealth BehaviorHumansPandemicsPneumonia, ViralRisk FactorsSARS-CoV-2COVID-19Dietinformal settlementsnon-communicable diseasesphysical activitypolicyurbanisation

Identifiers

PMID32867606
PMCPMC7480567
OpenAlexW3081718963

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.