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Household crowding can have political effects: An empirical study on support for anti-democratic political systems during the COVID-19 lockdown in Italy.

ABSTRACT: We analysed some political consequences of household crowding during the 2020 COVID-19 lockdown across a wide quota sample of the Italian adult population, stratified as concerns gender, age, level of education, geographical area of residence, and size of area of residence, interviewed before (May-June 2019) and during (April 2020) the lockdown (N = 1,047, 51.2% women, M _age = 50.44, SD = 14.36). Path analysis showed that household crowding during the lockdown was positively associated with support for anti-democratic political systems, through the partial mediation of the perceived relative impact of COVID-19 on one's family and of expectations of future lifestyle restrictions due to the pandemic. These associations did not depend on participants' pre-pandemic socio-economic status and predisposition to strong political leaders. Strengths, limitations, and possible developments of the study are discussed.

SUBMITTER: Cavazza N

PROVIDER: S-EPMC8444628 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Household crowding can have political effects: An empirical study on support for anti-democratic political systems during the COVID-19 lockdown in Italy.

Cavazza Nicoletta N Russo Silvia S Colloca Pasquale P Roccato Michele M

Journal of environmental psychology 20210524

We analysed some political consequences of household crowding during the 2020 COVID-19 lockdown across a wide quota sample of the Italian adult population, stratified as concerns gender, age, level of education, geographical area of residence, and size of area of residence, interviewed before (May-June 2019) and during (April 2020) the lockdown (N = 1,047, 51.2% women, M age = 50.44, SD = 14.36). Path analysis showed that household crowding during the lockdown was ...[more]

PMID: 34545263

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Project description:BackgroundThe Democratic Republic of the Congo (DRC) remains one of the countries most impacted by malaria despite decades of control efforts, including multiple mass insecticide treated net (ITN) distribution campaigns. The multi-scalar and complex nature of malaria necessitates an understanding of malaria risk factors over time and at multiple levels (e.g., individual, household, community). Surveillance of households in both rural and urban settings over time, coupled with detailed behavioral and geographic data, enables the detection of seasonal trends in malaria prevalence and malaria-associated behaviors as well as the assessment of how the local environments within and surrounding an individual's household impact malaria outcomes.MethodsParticipants from seven sites in Kinshasa Province, DRC were followed for over two years. Demographic, behavioral, and spatial information was gathered from enrolled households. Malaria was assessed using both rapid diagnostic tests (RDT) and polymerase chain reaction (PCR) and seasonal trends were assessed. Hierarchical regression modeling tested associations between behavioral and environmental factors and positive RDT and PCR outcomes at individual, household and neighborhood scales.ResultsAmong 1591 enrolled participants, malaria prevalence did not consistently vary seasonally across the sites but did vary by age and ITN usage. Malaria was highest and ITN usage lowest in children ages 6-15 years across study visits and seasons. Having another member of the household test positive for malaria significantly increased the risk of an individual having malaria [RDT: OR = 4.158 (2.86-6.05); PCR: OR = 3.37 (2.41-4.71)], as did higher malaria prevalence in the 250 m neighborhood around the household [RDT: OR = 2.711 (1.42-5.17); PCR: OR = 4.056 (2.3-7.16)]. Presence of water within close proximity to the household was also associated with malaria outcomes.ConclusionsTaken together, these findings suggest that targeting non-traditional age groups, children >5 years old and teenagers, and deploying household- and neighborhood-focused interventions may be effective strategies for improving malaria outcomes in high-burden countries like the DRC.

Dataset Information

Household crowding can have political effects: An empirical study on support for anti-democratic political systems during the COVID-19 lockdown in Italy.

Publications

Household crowding can have political effects: An empirical study on support for anti-democratic political systems during the COVID-19 lockdown in Italy.

Similar Datasets

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