Health Impacts of the COVID-19 Lockdown Measure in a Low Socio-Economic Setting: A Cross-Sectional Study on Reunion Island.
Adrian FianuHind AissaouiNadège NatyVictorine LenclumeAnne-Françoise CasimirEmmanuel ChirpazOlivier MaillardMichel SpodenkiewiczNicolas BouscarenMichelle Kelly-IrvingEmmanuelle RachouCyrille DelpierrePatrick GerardinPublished in: International journal of environmental research and public health (2022)
In March 2020, the French government implemented nation-wide measures to reduce social contact and slow the progression of the emerging coronavirus responsible for COVID-19, the most significant being a complete home lockdown that lasted 8 weeks. Reunion Island is a French overseas department marked by large social inequalities. We draw the hypothesis that distancing and lockdown measures may have contributed to an increase in the social inequalities in health (SIH) on Reunion Island. The aim of our study was to describe the SIH during lockdown in the Reunionese population. We implemented a cross-sectional telephone survey conducted between 13 May and 22 July 2020, using a retrospective data collection on the lockdown period. A total of 892 adult participants (≥18 years) were recruited in the 114 large Reunionese neighborhoods using the quota method within the national "White Pages" telephone directory. Degraded psychological states, an increase in addictive behaviors, difficulties in accessing food, a decrease in physical activity, delayed medical appointments, violence against women, and health problems in children were driven by the socio-economic characteristics of the population, most often to the disadvantage of social groups exposed to poor living conditions. These results suggest that the COVID-19 lockdown contributed to an increase in SIH.
Keyphrases
- mental health
- healthcare
- sars cov
- coronavirus disease
- physical activity
- public health
- health information
- respiratory syndrome coronavirus
- young adults
- type diabetes
- body mass index
- quality improvement
- machine learning
- polycystic ovary syndrome
- big data
- depressive symptoms
- risk assessment
- artificial intelligence
- breast cancer risk
- childhood cancer