Abstract
Background: Modifiable health-related behaviours tend to cluster among most vulnerable sectors of the population, particularly those at the bottom of the social hierarchy. This study aimed to identify the clusters of health-related behaviours in 27 European countries and to examine the socioeconomic inequalities in these clusters.
Methods: Data were from Eurobarometer 72.3–2009, a cross-sectional survey of 27 European countries. The analyses were conducted in 2016. The main sections of the survey included questions pertaining to sociodemographic factors, health-related behaviours, and use of services. In this study, those aged 18 years and older were included. We selected five health-related behaviours, namely smoking, excessive alcohol consumption, frequent fresh fruit consumption,
physical activity and dental check-ups. Socioeconomic position was indicated by education, subjective social status and difficulty in paying bills. Latent class analysis was conducted to explore the clusters of these five behaviours.
Multinomial logistic regression model was used to examine the relationships between the clusters and socioeconomic positions adjusting for age, gender, marital status and urbanisation.
Results: The eligible total population was 23,842. Latent class analysis identified three clusters; healthy, moderate and
risky clusters in this European population. Individuals with the lowest socioeconomic position were more likely to have
risky and moderate clusters than healthy cluster compared to those with the highest socioeconomic position.
Conclusions: There were clear socioeconomic gradients in clusters of health-related behaviours. The findings highlight
the importance of adopting interventions that address multiple health risk behaviours and policies that tackle the
social determinants of health-related behaviours.
Methods: Data were from Eurobarometer 72.3–2009, a cross-sectional survey of 27 European countries. The analyses were conducted in 2016. The main sections of the survey included questions pertaining to sociodemographic factors, health-related behaviours, and use of services. In this study, those aged 18 years and older were included. We selected five health-related behaviours, namely smoking, excessive alcohol consumption, frequent fresh fruit consumption,
physical activity and dental check-ups. Socioeconomic position was indicated by education, subjective social status and difficulty in paying bills. Latent class analysis was conducted to explore the clusters of these five behaviours.
Multinomial logistic regression model was used to examine the relationships between the clusters and socioeconomic positions adjusting for age, gender, marital status and urbanisation.
Results: The eligible total population was 23,842. Latent class analysis identified three clusters; healthy, moderate and
risky clusters in this European population. Individuals with the lowest socioeconomic position were more likely to have
risky and moderate clusters than healthy cluster compared to those with the highest socioeconomic position.
Conclusions: There were clear socioeconomic gradients in clusters of health-related behaviours. The findings highlight
the importance of adopting interventions that address multiple health risk behaviours and policies that tackle the
social determinants of health-related behaviours.
| Original language | English |
|---|---|
| Article number | 497 |
| Number of pages | 8 |
| Journal | BMC Public Health |
| Volume | 17 |
| Issue number | 1 |
| Early online date | 23 May 2017 |
| DOIs | |
| Publication status | Published - 23 May 2017 |
