Evidence map›Paper›PMID 33830913›Full record

ArticlePreventing chronic disease2021

Global Perspectives on Improving Chronic Disease Prevention and Management in Diverse Settings.

Collins O Airhihenbuwa, Tung-Sung Tseng, Victor D Sutton, LeShawndra Price

Open access · diamondAbstract readEditorial
In one paragraph

Article in Preventing chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
7.7field-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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 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

4 authors at 4 institutions in 1 country.

Collins O AirhihenbuwaHealth Policy and Behavioral Sciences, School of Public Health, Georgia State University, 140 Decatur St, Atlanta, GA 30303. Email: cairhihenbuwa@gsu.edu.
Tung-Sung TsengBehavioral and Community Health Sciences Department, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana.
Victor D SuttonOffice of Preventive Health and Health Equity, Mississippi State Department of Health, Jackson, Mississippi.
LeShawndra PriceOffice of Research Training and Special Programs, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Georgia State University · USLouisiana State University Health Sciences Center New Orleans · USMississippi State Department of Health · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Centers for Disease Control and Prevention (CDC) define chronic diseases as conditions that last 1 year or more and that require ongoing medical attention or limit activities of daily living, or both (1). Chronic diseases may be influenced by a combination of genetics, lifestyle and social behaviors, health care system factors, community influences, and environmental determinants of health (2). These risk factors often coexist and interact with each other. Therefore, a better understanding of determinants of chronic diseases such as tobacco use, unhealthy eating, and physical inactivity stands to benefit from effective strategies for improving primary, secondary, and tertiary disease prevention and management in diverse global settings (3). Strategies to prevent and manage chronic disease outcomes such as diabetes and cardiovascular diseases (CVDs) have global commonalities (4-7). The impact of chronic diseases is disproportionately evident in Black and Brown communities (8,9). Chronic disease prevention and management typically focus on behavioral interventions such as healthy eating, increased physical activity, and cessation of unhealthy practices such as tobacco and alcohol use (10-15). In 2020, the COVID-19 pandemic added to the fact that chronic diseases disproportionately affect low-resource communities, where many Black and Brown populations live (16,17). COVID-19 demonstrated that chronic disease disparities actually present as preexisting conditions in Black and Brown communities, who are disproportionately affected by COVID-19 outcomes. Although most of the articles in this Preventing Chronic Disease (PCD) collection were published before the pandemic, the insights they present, combined with the racial and ethnic data on the burden of COVID-19 thus far, support this reality. Many researchers and public health practitioners often consider the need to sufficiently address the relationships between chronic diseases and social, behavioral, and community factors (18). Global lessons in the prevention and management of chronic diseases, therefore, can help researchers and practitioners benefit from the shared lessons and experience derived from research and interventions conducted in different parts of the world. There are more than 7 billion people worldwide, who speak diverse languages and who have different nationalities, identities, and health systems. Yet, if we share challenges and opportunities for chronic disease prevention and management, many of the global adversities to improving health and well-being can be ameliorated, which is the purpose of this collection. The authors in this collection share lessons that represent experiences in diverse contexts across countries and regions of the world.

Indexed as

Chronic DiseaseGlobal HealthPublic HealthSocial Determinants of HealthCausalityCOVID-19Healthcare DisparitiesHealth Services AccessibilityHumansInformation DisseminationLife StylePsychologySARS-CoV-2

Identifiers

PMID33830913
PMCPMC8051856
OpenAlexW3147430112

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.