Lifestyle Characteristics of Poor and Rich People in Poland

Sączewska-Piotrowska, Anna; Piotrowski, Damian

doi:10.15611/amse.2017.20.32

Cited by 1 publication

(1 citation statement)

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“…The COVID-19 pandemic and "stay-at-home" action may cause positive health behaviors (sleep, physical activity) and negative health behaviors (alcohol consumption, drug use, and tobacco use). Negative health behaviors may cause a lot of consequences, such as liver diseases, cancers, asthma, cardiovascular diseases [8]. The consequences are also visible for a whole society because poor health of citizens of a country is related to higher costs of health care.…”

Section: Introductionmentioning

confidence: 99%

Economic factors influencing the health behavior changes during COVID-19 pandemic: multiple correspondence analysis results

Sączewska-Piotrowska

2021

Procedia Computer Science

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This research aimed to investigate how health behaviors changed during the COVID-19 pandemic and to identify the economic factors influencing these changes. There were considered income situation and labor market situation as the potential economic factors. Additionally, in the analysis, there were included other characteristics: age, gender, and education level. Health condition was considered through the prism of certain unhealthy characteristics: alcohol consumption, smoking cigarettes, lack of physical activity, and unfavorable eating habits. The study was carried out on the stratified sample of adult inhabitants of Poland (N=1067) in November 2020. To achieve the aim multiple correspondence analysis was used. The results show that the pandemic has changed health behaviors. The negative changes mainly concerned physical activity and eating habits, and only one-sixth reported an increase in alcohol use and cigarette smoking. An increase in negative health behavior was mostly associated with the following characteristics: male, lower age (between 30 and 59), employed persons, tertiary education, and higher income (the fourth and the fifth income quintile group). The exception was a physical activity, where all changes (both negative and positive) were associated with females, people with basic vocational and secondary education, the second and third quintile group, pensioners and retirees, 60 and above age.

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Section: Introductionmentioning

confidence: 99%