Evidence map›Paper›PMID 36078431›Full record

ArticleInternational journal of environmental research and public health2022

Big Five Traits as Predictors of a Healthy Lifestyle during the COVID-19 Pandemic: Results of a Russian Cross-Sectional Study.

Alena Zolotareva, Sergei Shchebetenko, Svetlana Belousova, Irina Danilova, Vadim Tseilikman, Maxim Lapshin, Lilia Sarapultseva, Svetlana Makhniova, Maria Sarapultseva, Maria Komelkova and 4 more

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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

14 authors.

Alena ZolotarevaSchool of Psychology, HSE University, 101000 Moscow, Russia.ORCID 0000-0002-5724-2882
Sergei ShchebetenkoSchool of Psychology, HSE University, 101000 Moscow, Russia.ORCID 0000-0001-5790-9731
Svetlana BelousovaDepartment of Psychology, Chelyabinsk State University, 454001 Chelyabinsk, Russia.
Irina DanilovaInstitute of Natural Sciences and Mathematics, Ural Federal University Named after the First President of Russia B.N. Yeltsin, 620002 Ekaterinburg, Russia.
Vadim TseilikmanSchool of Medical Biology, South Ural State University, 454080 Chelyabinsk, Russia.
Maxim LapshinRussian-Chinese Education and Research Center of System Pathology, South Ural State University, 454080 Chelyabinsk, Russia.
Lilia SarapultsevaDepartment of Mathematics and Natural Sciences, Russian State Vocational Pedagogical University, 620012 Ekaterinburg, Russia.
Svetlana MakhniovaDepartment of Mathematics and Natural Sciences, Russian State Vocational Pedagogical University, 620012 Ekaterinburg, Russia.
Maria SarapultsevaInstitute of Immunology and Physiology, Ural Branch of the Russian Academy of Science, 620049 Ekaterinburg, Russia.ORCID 0000-0002-1249-9801
Maria KomelkovaRussian-Chinese Education and Research Center of System Pathology, South Ural State University, 454080 Chelyabinsk, Russia.ORCID 0000-0003-2431-8358
Desheng HuDepartment of Integrated Traditional Chinese and Western Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Shanshan LuoInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Ekaterina LisovskayaDepartment of Psychology, Chelyabinsk State University, 454001 Chelyabinsk, Russia.
Alexey SarapultsevRussian-Chinese Education and Research Center of System Pathology, South Ural State University, 454080 Chelyabinsk, Russia.ORCID 0000-0003-3101-9655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The healthy lifestyle of people around the world has changed dramatically during the COVID-19 pandemic. The personality risk factors for these processes from around the world remain understudied. This study aimed to examine the associations of the Big Five traits with a healthy lifestyle during the COVID-19 pandemic. In a cross-sectional study, data from 1215 Russian university students were analyzed. Participants completed the Big Five Inventory-10 and Short Multidimensional Inventory Lifestyle Evaluation. The results showed that personality traits predicted many dimensions of a healthy lifestyle during the COVID-19 pandemic. Diet and nutrition were positively predicted by extraversion, agreeableness, and conscientiousness, and it was negatively predicted by neuroticism. Substance abuse was positively predicted by agreeableness and conscientiousness, and it was negatively predicted by extraversion. Physical activity was positively predicted by extraversion and conscientiousness, and it was negatively predicted by neuroticism. Stress management was positively predicted by extraversion and conscientiousness, and it was negatively predicted by neuroticism. Restorative sleep was positively predicted by extraversion and conscientiousness, and it was negatively predicted by neuroticism. Social support for healthy practices was positively predicted by extraversion, agreeableness, and conscientiousness. Environmental exposures were positively predicted by extraversion, and neuroticism was positively and negatively predicted by conscientiousness. Our findings may be useful for further exploration of personality risk factors for healthy practices in challenging life circumstances.

Indexed as

COVID-19PersonalityCross-Sectional StudiesHealthy LifestyleHumansPandemicsPersonality InventoryCOVID-19 pandemichealthy lifestylespersonality traits

Identifiers

PMID36078431
PMCPMC9517801

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Registered trials

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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.