Adherence to COVID-19 measures and the associated factors: evidence from a two-wave longitudinal study in Singapore

BMC Public Health. 2024 Oct 15;24(1):2839. doi: 10.1186/s12889-024-20256-8.

Abstract

Background: At the onset of the Coronavirus disease (COVID-19) pandemic when pharmaceutical interventions were not readily available, governments relied on public health mandates and social distancing measures to counter rising infection rates. In order to address the dearth of longitudinal studies, this study sought to identify factors associated with continued adherence to COVID-19 preventive behaviours in Singapore.

Methods: Data were from a two-wave longitudinal cohort study; baseline study was conducted from May 2020 to June 2021 and follow-up study from October 2021 to September 2022. Participants (n = 858) were Singapore residents, aged 18 and above, and able to speak English, Chinese or Malay. Weighted multivariable logistic regressions were conducted to identify factors associated with adherence to the COVID-19 measures.

Results: Adherence rates of 'avoid dining out', 'crowded places', 'people with flu symptoms' and 'small group gatherings' at baseline were 39.41%, 60.82%, 79.82%, and 44.82% respectively. All measures had a decrease in adherence rates across the two-waves. Older age groups were associated with greater adherence to 'avoid dining out' and 'avoid crowded places'. Having high trust in local public health experts was associated with greater adherence to 'avoid crowded places' and 'avoid people with flu symptoms'. Fear of family and friends getting infected with COVID-19 was associated with 'avoid dining out' and 'avoid crowded places'.

Conclusions: Soft interventions like nudges can be implemented at crowded places to remind the public of the ease of transmitting the virus to their loved ones. Increasing media presence of public health experts can be a viable alternative to improve adherence.

Keywords: Adherence; COVID-19; Pandemic; Public health and social measures; Social norms.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • SARS-CoV-2
  • Singapore / epidemiology
  • Young Adult