Evidence map›Paper›PMID 34178929›Full record

ArticleFrontiers in public health2021

Behavioral Risk Factors and Adherence to Preventive Measures: Evidence From the Early Stages of the COVID-19 Pandemic.

María-José Mendoza-Jiménez, Tessa-Virginia Hannemann, Josefine Atzendorf

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Risk, time preferences, trustworthiness and COVID-19 preventive behavior: evidence from France.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  8. Heterogeneous risk tolerance, in-groups, and epidemic waves.Frontiers in applied mathematics and statistics · 2024
    Article
  9. Article
  10. The Disproportionate Burden of COVID-19 Cases among Arab Americans.Journal of racial and ethnic health disparities · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Factors associated with self-reported social isolation among patients with cancer during the COVID-19 pandemic.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022
    Article
  20. 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

3 authors at 1 institution in 1 country.

María-José Mendoza-JiménezMunich Center for the Economics of Aging, Max Planck Institute for Social Law and Social Policy, Munich, Germany.
Tessa-Virginia HannemannMunich Center for the Economics of Aging, Max Planck Institute for Social Law and Social Policy, Munich, Germany.
Josefine AtzendorfMunich Center for the Economics of Aging, Max Planck Institute for Social Law and Social Policy, Munich, Germany.
Max Planck Institute for Social Law and Social Policy · DE

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECTR21AG025169 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2004 to 2006
$297k
NIA NIH HHS P01 AG005842NIA NIH HHS P01 AG008291NIA NIH HHS P30 AG012815NIA NIH HHS R21 AG025169NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Behavioral risk factors, such as smoking, excessive alcohol consumption, physical inactivity, obesity, and unhealthy food intake are added risk factors for severe outcomes of COVID-19 infections. Preventive measures to avoid infections are therefore particularly important for individuals engaging in behavioral risk factors. We seek to determine whether behavioral risk factors (BRFs) play a significant role in the adherence to preventive COVID-19 measures in a population aged 50 and above. The SHARE wave 8 (Survey of Health, Ageing and Retirement in Europe) and SHARE COVID-19 Survey served as the database, resulting in an analytical sample of 17,588 respondents from 23 European countries plus Israel. Of these 36.04% engaged in at least one BRF and 16.68% engaged in 3 or more BRFs. Multilevel logistic regressions revealed that engagement in one BRF was significantly associated with less adherence to hygiene preventive measures, i.e., hand-sanitizing, hand-washing and covering coughs and sneezes (OR: 0.86; 95% CI: 0.78; 0.94), as was engagement in two BRFs (OR: 0.85; 95% CI: 0.74; 0.97) and three or more BRFs (OR: 0.72; 95% CI: 0.59; 0.88). No such association was found between engagement in BRFs and adherences to social isolation preventive measures, i.e., avoiding meeting more than five people, visiting others or going shopping, or regulated preventive measures, i.e., wearing a mask and keeping physical distance. The found association was also stronger when three or more BRFs were engaged in (1 vs. 3 BRFs: χ

Indexed as

COVID-19PandemicsEuropeHumansIsraelRisk FactorsSARS-CoV-2ageingalcohol consumptionCOVID-19 pandemicobesitypreventive measuressedentarismsmokingunhealthy diet

Identifiers

PMID34178929
PMCPMC8219917
OpenAlexW3172684296

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.