» Articles » PMID: 37565394

Global Impacts of COVID-19 on Lifestyles and Health and Preparation Preferences: An International Survey of 30 Countries

Abstract

Background: The health area being greatest impacted by coronavirus disease 2019 (COVID-19) and residents' perspective to better prepare for future pandemic remain unknown. We aimed to assess and make cross-country and cross-region comparisons of the global impacts of COVID-19 and preparation preferences of pandemic.

Methods: We recruited adults in 30 countries covering all World Health Organization (WHO) regions from July 2020 to August 2021. 5 Likert-point scales were used to measure their perceived change in 32 aspects due to COVID-19 (-2 = substantially reduced to 2 = substantially increased) and perceived importance of 13 preparations (1 = not important to 5 = extremely important). Samples were stratified by age and gender in the corresponding countries. Multidimensional preference analysis displays disparities between 30 countries, WHO regions, economic development levels, and COVID-19 severity levels.

Results: 16 512 adults participated, with 10 351 females. Among 32 aspects of impact, the most affected were having a meal at home (mean (m) = 0.84, standard error (SE) = 0.01), cooking at home (m = 0.78, SE = 0.01), social activities (m = -0.68, SE = 0.01), duration of screen time (m = 0.67, SE = 0.01), and duration of sitting (m = 0.59, SE = 0.01). Alcohol (m = -0.36, SE = 0.01) and tobacco (m = -0.38, SE = 0.01) consumption declined moderately. Among 13 preparations, respondents rated medicine delivery (m = 3.50, SE = 0.01), getting prescribed medicine in a hospital visit / follow-up in a community pharmacy (m = 3.37, SE = 0.01), and online shopping (m = 3.33, SE = 0.02) as the most important. The multidimensional preference analysis showed the European Region, Region of the Americas, Western Pacific Region and countries with a high-income level or medium to high COVID-19 severity were more adversely impacted on sitting and screen time duration and social activities, whereas other regions and countries experienced more cooking and eating at home. Countries with a high-income level or medium to high COVID-19 severity reported higher perceived mental burden and emotional distress. Except for low- and lower-middle-income countries, medicine delivery was always prioritised.

Conclusions: Global increasing sitting and screen time and limiting social activities deserve as much attention as mental health. Besides, the pandemic has ushered in a notable enhancement in lifestyle of home cooking and eating, while simultaneously reducing the consumption of tobacco and alcohol. A health care system and technological infrastructure that facilitate medicine delivery, medicine prescription, and online shopping are priorities for coping with future pandemics.

Citing Articles

Individuals' positive gains from the COVID-19 pandemic: a qualitative study across 30 countries.

Li J, Davidson P, Fong D, Li Y, Lok K, Wong J J Glob Health. 2025; 15:04091.

PMID: 39950570 PMC: 11827041. DOI: 10.7189/jogh.15.04091.


Country-specific key lifestyle factors and health outcomes for resource allocation in the general population: a network analysis across 29 countries.

Li J, Fong D, Lok K, Wong J, Man Ho M, Choi E J Glob Health. 2025; 15():04011.

PMID: 39791329 PMC: 11719263. DOI: 10.7189/jogh.15.04011.


Association between e-health literacy and perceived importance of future pandemic preparedness in sub-saharan Africa.

Manirambona E, Khan N, Ogungbe O, Irakoze S, Li J, Uwiringiyimana E Sci Rep. 2024; 14(1):30734.

PMID: 39730442 PMC: 11681008. DOI: 10.1038/s41598-024-80121-x.


Effect of low- and moderate-intensity endurance exercise on physical functioning among breast cancer survivors: a randomized controlled trial.

Mulero Portela A, Colon Santaella C, Rogers L, Missaghian Vissepo M Support Care Cancer. 2024; 33(1):49.

PMID: 39714637 PMC: 11806920. DOI: 10.1007/s00520-024-09100-2.


A latent profile analysis of rest-activity behavior patterns among community-dwelling older adults and its relationship with intrinsic capacity.

Li N, Wang N, Lin S, Yuan Y, Huang F, Zhu P Sci Rep. 2024; 14(1):18786.

PMID: 39138254 PMC: 11322643. DOI: 10.1038/s41598-024-69114-y.


References
1.
Nadarzynski T, Miles O, Cowie A, Ridge D . Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study. Digit Health. 2019; 5:2055207619871808. PMC: 6704417. DOI: 10.1177/2055207619871808. View

2.
Hale T, Angrist N, Goldszmidt R, Kira B, Petherick A, Phillips T . A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav. 2021; 5(4):529-538. DOI: 10.1038/s41562-021-01079-8. View

3.
Edwards A, Baric R, Saphire E, Ulmer J . Stopping pandemics before they start: Lessons learned from SARS-CoV-2. Science. 2022; 375(6585):1133-1139. DOI: 10.1126/science.abn1900. View

4.
Roberts A, Rogers J, Mason R, Siriwardena A, Hogue T, Whitley G . Alcohol and other substance use during the COVID-19 pandemic: A systematic review. Drug Alcohol Depend. 2021; 229(Pt A):109150. PMC: 8559994. DOI: 10.1016/j.drugalcdep.2021.109150. View

5.
Zhu Y, Wang R, Pu C . "I am chatbot, your virtual mental health adviser." What drives citizens' satisfaction and continuance intention toward mental health chatbots during the COVID-19 pandemic? An empirical study in China. Digit Health. 2022; 8:20552076221090031. PMC: 8971968. DOI: 10.1177/20552076221090031. View