The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Socio-Cognitive Factors Associated With Lifestyle Changes in Response to the COVID-19 Epidemic in the General Population: Results From a Cross-Sectional Study in France
Open accessAbstract
BACKGROUND: The aims of the present study were to assess changes in lifestyles in the general population in response to coronavirus disease 2019 (COVID-19) lockdown and the influence of COVID-19 perceptions, as assessed by the Extended Parallel Process Model (EPPM), on these changes. METHODS: Data were collected from 4005 individuals through an online survey conducted 3-4 weeks after the nationwide lockdown implementation in France. Participants were asked whether they practiced five behaviors (i.e., screen watching, snacking, eating fruits and vegetables, exercising, and walking) less often, as often as, or more often than prior to the lockdown. Beliefs and expectations toward the COVID-19 epidemic were also assessed using an adapted version of Witte's EPPM, together with sociodemographic and environmental variables. Among the respondents consuming regularly alcohol and tobacco, logistic regressions were performed to estimate the Odds ratios (ORs) of increase (yes/no) and decrease (yes/no) in drinking and smoking since the lockdown. RESULTS: More than 8 in 10 respondents reported unhealthy changes in lifestyle since the lockdown, mostly in relation to physical activity. The unhealthy changes were positively associated with male sex (RR = 1.17; confidence interval [95% CI] = 1.10-1.24), living urban density, having a garden (RR = 1.16 [1.07-1.26]), financial difficulties because of COVID-19 (RR = 1.09 [1.02-1.18]), and lack of fear control (RR = 1.04 [1.01-1.09]) and negatively with cognitive avoidance (RR = 0.92 [0.89-0.95]). Less than 4 in 10 respondents reported healthy changes over the same period, mostly in relation to better eating habits. They were positively associated with living with more than two persons (RR = 1.22 [1.02-1.45]), having a terrace (RR = 1.14 [1.02-1.29], and perceived efficacy (RR = 1.11 [1.04-1.08]) and negatively with being aged 40 or higher. Alcohol consumption overall declined in regular drinkers, while a slight increase in tobacco use was observed in regular smokers. DISCUSSION: The COVID-19 pandemic and lockdown resulted in frequent and mostly unhealthy changes in lifestyle among the general population. These changes were related to individual and environmental characteristics but also to EPPM appraisals in the wake of fear appeal from COVID-19 campaigns. Communication and preventive measures should include messages and initiatives toward the maintenance of healthy lifestyles during pandemics such as the adaptation of physical activity and eating guidelines to the particular contexts of mobility restriction and infection control.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Putting the fear back into fear appeals: the extended parallel process model
Witte, K. (1992) · Communication Monographs · doi:10.1080/03637759209376276 · Cited by 3,880
A Meta-Analysis of Fear Appeals: Implications for Effective Public Health Campaigns
Witte, K., & Allen, M. (2000) · Health Education & Behavior · doi:10.1177/109019810002700506 · Cited by 3,216 · cited 2×
“If fear appeal campaigns may motivate adaptive danger control actions such as message acceptance, theymay also generate maladaptive fear control actions such as defensive avoidance or reactance (Witte and Allen, 2000), and unhealthy behaviors in response to chronic stress (Schneiderman et al.”
BackgroundStress and Health: Psychological, Behavioral, and Biological Determinants
Schneiderman, N., Ironson, G., & Siegel, S. D. (2005) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.1.102803.144141 · Cited by 2,252 · cited 1×
“In contrast to other studies (Soga et al., 2017; Saltzman et al., 2020), living in densely populated areas and having a garden had negative effects on health behaviors.”
ResultAmmar, A., Brach, M., Trabelsi, K., Chtourou, H., Boukhris, O., Masmoudi, L., Bouaziz, B., Bentlage, E., How, D., Ahmed, M., et al. (2020) · Nutrients · doi:10.3390/nu12061583 · Cited by 2,073
Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study
Sallis, J. F., Cerin, E., Conway, T. L., Adams, M. A., Frank, L. D., Pratt, M., Salvo, D., Schipperijn, J., Smith, G., Cain, K. L., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01284-2 · Cited by 1,394
Stanton, R., To, Q. G., Khalesi, S., Williams, S. L., Alley, S. J., Thwaite, T. L., Fenning, A. S., & Vandelanotte, C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114065 · Cited by 1,386
Appealing to fear: A meta-analysis of fear appeal effectiveness and theories
Tannenbaum, M. B., Hepler, J., Zimmerman, R. S., Saul, L., Jacobs, S., Wilson, K., & Albarracín, D. (2015) · Psychological Bulletin · doi:10.1037/a0039729 · Cited by 1,315 · cited 1×
“Conversely, avoiding thinking about the COVID-19 (Umucu and Lee, 2020) somewhat limited unhealthy changes in lifestyles, probably by reducing the fear to go out.”
BackgroundAmericans’ COVID-19 stress, coping, and adherence to CDC guidelines
Park, C. L., Russell, B. S., Fendrich, M., Finkelstein-Fox, L., Hutchison, M., & Becker, J. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-05898-9 · Cited by 728
Gardening is beneficial for health: A meta-analysis
Soga, M., Gaston, K. J., & Yamaura, Y. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2016.11.007 · Cited by 688 · cited 2×
“…distancing, including mobility restrictions, banning of mass gatherings, closure of schools and work activities, isolation, and quarantine, helped control the first wave of the COVID-19 pandemic but resulted in overall unhealthy changes in lifestyle in France and elsewhere (Stanton et al., 2020).”
BackgroundPeters, G.-J. Y., Ruiter, R. A. C., & Kok, G. (2013) · Health Psychology Review · doi:10.1080/17437199.2012.703527 · Cited by 679
Cited by
Trott, M., Driscoll, R., Iraldo, E., & Pardhan, S. (2022) · eClinicalMedicine · doi:10.1016/j.eclinm.2022.101452 · Cited by 266
Strain, T., Sharp, S. J., Spiers, A., Price, H., Williams, C., Fraser, C., Brage, S., Wijndaele, K., & Kelly, P. (2022) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2021.100265 · Cited by 87
Metadata
- Authors
- Constant, A., Conserve, D. F., Gallopel-Morvan, K., & Raude, J.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2020-09-29
- Volume
- 11
- Pages
- 579460-579460
- ISSN
- 1664-1078 (ISSN-L)
- OpenAlex
- W3091659738
- Cited by
- 219
- References
- 11
- FWCI
- 19.33
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Socio-Cognitive Factors Associated With Lifestyle Changes in Response to the COVID-19 Epidemic in the General Population: Results From a Cross-Sectional Study in France. https://app.cochat.ai/papers/10.3389/fpsyg.2020.579460
- The paper
- Constant, A., Conserve, D. F., Gallopel-Morvan, K., & Raude, J. (2020). Socio-Cognitive Factors Associated With Lifestyle Changes in Response to the COVID-19 Epidemic in the General Population: Results From a Cross-Sectional Study in France. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.579460
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.