Literature DB >> 36138060

Longitudinal behavioral changes and factors related to reinforced risk aversion behavior among patients with chronic kidney disease during the COVID-19 pandemic.

Min Woo Kang1, Yaerim Kim2, Inae Lee3, Hyunwoong Park4, Jae Yoon Park5, Jung Nam An6, Kyung Don Yoo7, Yong Chul Kim1,8, Na-Youn Park9, Younglim Kho9, Kyungho Choi3, Jung Pyo Lee8,10, Jeonghwan Lee11,12.   

Abstract

In patients with chronic kidney disease (CKD), coronavirus disease 2019 (COVID-19) has a higher mortality rate than the general population; therefore, prevention is vital. To prevent COVID-19 infection, it is important to study individuals' risk aversion behavior. The objective of this study was to understand how the behavioral characteristics of physical distancing, hygiene practice, and exercise changed in patients with CKD during the COVID-19 pandemic and to identify the characteristics of patients who showed weakened or strengthened behavioral changes. We analyzed data from the Study on Kidney Disease and Environmental Chemicals (Clinical Trial No. NCT04679168), that examined a prospective cohort of patients with CKD. This cohort included patients with CKD who visited the participating hospitals for the first time between June and October 2020 and the second time between October 2020 and January 2021. Data on demographics, socio-economic details, and behavioral characteristics were collected through a questionnaire survey. Using a multivariable logistic regression model, we identified whether COVID-19 infection risk perception and previous strong behavioral changes affected behavioral changes during the first and second visits. A total of 277 patients (33.2% females) were included in the analysis. Nine out of 12 behaviors were reinforced at the first visit, and five out of nine reinforced behaviors were weakened at the second visit. A high-risk perception of COVID-19 infection was not associated with the tendency of overall behavioral reinforcement or maintaining behaviors in an enhanced state at the second visit. Strong behavioral changes at the patients' first visit to the hospital were associated with a tendency to strengthen or maintain reinforced behaviors at the second visit (adjusted odds ratio 1.99, 95% confidence interval 1.19-3.34; P = 0.009). Even if the initial COVID-19 risk perception is high, behavioral changes worsen over time. Individuals who showed more active behavioral changes at the beginning of the COVID-19 pandemic tended to maintain reinforced behavior over time. Continuous education and monitoring are needed to maintain changed behaviors, especially in patients with a high initial COVID-19 risk perception.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36138060     DOI: 10.1038/s41598-022-19787-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  31 in total

1.  Sustained behavior change is key to preventing and tackling future pandemics.

Authors:  Susan Michie; Robert West
Journal:  Nat Med       Date:  2021-05-10       Impact factor: 53.440

2.  Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.

Authors:  Seth Flaxman; Swapnil Mishra; Axel Gandy; H Juliette T Unwin; Thomas A Mellan; Helen Coupland; Charles Whittaker; Harrison Zhu; Tresnia Berah; Jeffrey W Eaton; Mélodie Monod; Azra C Ghani; Christl A Donnelly; Steven Riley; Michaela A C Vollmer; Neil M Ferguson; Lucy C Okell; Samir Bhatt
Journal:  Nature       Date:  2020-06-08       Impact factor: 49.962

3.  Public Health Interventions for COVID-19: Emerging Evidence and Implications for an Evolving Public Health Crisis.

Authors:  David M Hartley; Eli N Perencevich
Journal:  JAMA       Date:  2020-05-19       Impact factor: 56.272

4.  Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis.

Authors:  Derek K Chu; Elie A Akl; Stephanie Duda; Karla Solo; Sally Yaacoub; Holger J Schünemann
Journal:  Lancet       Date:  2020-06-01       Impact factor: 79.321

5.  Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.

Authors:  Nicholas G Davies; Adam J Kucharski; Rosalind M Eggo; Amy Gimma; W John Edmunds
Journal:  Lancet Public Health       Date:  2020-06-02

6.  The impacts of knowledge, risk perception, emotion and information on citizens' protective behaviors during the outbreak of COVID-19: a cross-sectional study in China.

Authors:  Liangwen Ning; Jinyu Niu; Xuejing Bi; Chao Yang; Ze Liu; Qunhong Wu; Ning Ning; Libo Liang; Aishu Liu; Yanhua Hao; Lijun Gao; Chaojie Liu
Journal:  BMC Public Health       Date:  2020-11-23       Impact factor: 3.295

7.  Assessing preventive health behaviors from COVID-19: a cross sectional study with health belief model in Golestan Province, Northern of Iran.

Authors:  Hossein Shahnazi; Maryam Ahmadi-Livani; Bagher Pahlavanzadeh; Abdolhalim Rajabi; Mohammad Shoaib Hamrah; Abdurrahman Charkazi
Journal:  Infect Dis Poverty       Date:  2020-11-17       Impact factor: 4.520

8.  Public Health and Risk Communication During COVID-19-Enhancing Psychological Needs to Promote Sustainable Behavior Change.

Authors:  Talya Porat; Rune Nyrup; Rafael A Calvo; Priya Paudyal; Elizabeth Ford
Journal:  Front Public Health       Date:  2020-10-27

9.  Social distancing in response to the novel coronavirus (COVID-19) in the United States.

Authors:  Nina B Masters; Shu-Fang Shih; Allen Bukoff; Kaitlyn B Akel; Lindsay C Kobayashi; Alison L Miller; Harapan Harapan; Yihan Lu; Abram L Wagner
Journal:  PLoS One       Date:  2020-09-11       Impact factor: 3.240

10.  The impact of social distancing and public behavior changes on COVID-19 transmission dynamics in the Republic of Korea.

Authors:  Soyoung Kim; Youngsuk Ko; Yae-Jean Kim; Eunok Jung
Journal:  PLoS One       Date:  2020-09-24       Impact factor: 3.240

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