Energy balance-related behaviours (EBRB) are established in childhood and seem to persist through to adulthood. A lower parental educational level was associated with unhealthy behavioural patterns. The aim of the study is to identify clusters of EBRB and examine their association with preschool children's BMI and maternal, paternal and parental education. A subsample of the ToyBox study (n 5387) conducted in six European countries was used. Six behavioural clusters ('healthy diet and low activity', 'active', 'healthy lifestyle', 'high water and screen time; low fruits and vegetables (F&V) and physical activity (PA)', 'unhealthy lifestyle' and 'high F&V consumers') emerged. The healthiest group characterised by high water and F&V consumption and high PA z scores ('healthy lifestyle') was more prevalent among preschool children with at least one medium- or higher-educated parent and showed markedly healthier trends for all the included EBRB. In the opposite, the 'unhealthy lifestyle' cluster (characterised by high soft drinks and screen time z scores, and low water, F&V and PA z scores) was more prevalent among children with lower parental, paternal and maternal education levels. OR identified that children with lower maternal, paternal and parental education levels were less likely to be allocated in the 'healthy lifestyle' cluster and more likely to be allocated in the 'unhealthy lifestyle' cluster. The 'unhealthy lifestyle' cluster was more prevalent among children with parents in lower parental educational levels and children who were obese. Therefore, parental educational level is one of the key factors that should be considered when developing childhood obesity prevention interventions.
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http://dx.doi.org/10.1017/S0007114517003129 | DOI Listing |
Cent Eur J Public Health
December 2024
Institute of Hygiene, Faculty of Medicine, Comenius University in Bratislava, Bratislava, Slovak Republic.
Objectives: An unhealthy lifestyle, inappropriate eating habits, and inadequate physical activity are the most common risk factors affecting health and causing the premature onset of non-communicable diseases. The study aimed to evaluate lifestyle factors, eating habits, and daily regimens in a sample of Slovak adolescents.
Methods: The sample involves 524 students aged 15-22 years attending selected secondary schools from the model region of Bratislava, the capital of Slovakia.
Front Glob Womens Health
January 2025
Department of Public Health, Amhara Public Health Institute, Bahir Dar, Ethiopia.
Introduction: Promoting healthy lifestyle behaviors during pregnancy is a crucial health promotion strategy that could reduce pregnancy-related complications that may harm women and their fetuses. However, very few studies have assessed the prevalence of health-promoting lifestyle behaviors among pregnant women in Ethiopia. This study aimed to evaluate the extent and associated factors of health-promoting lifestyle behaviors among pregnant women in public health institutions in Debre Markos, northwest Ethiopia.
View Article and Find Full Text PDFJ Hum Nutr Diet
February 2025
Department of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Background: Understanding the dietary patterns of populations is crucial in addressing chronic health conditions that are influenced by diet and lifestyle. We aimed to identify the dietary patterns among adult Caucasian Canadians and examine their associations with socioeconomic and sociodemographic factors and chronic health conditions.
Methodology: We used two comprehensive national nutrition surveys: Canadian Community Health Survey (CCHS)2015 and CCHS Cycle 2.
Zhonghua Liu Xing Bing Xue Za Zhi
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.
To understand the prevalence of frailty and the importance of its influencing factors in adult population in Shaanxi Province. The data were from Shaanxi baseline survey of natural population cohort study in northwest China during 2018-2019. The frailty index (FI) was constructed to evaluate the frailty status of the population, and XGboost model combined with Shapley method was used to analyze the importance of the sociodemographic and life behavior factors affecting the prevalence of frailty by gender and age.
View Article and Find Full Text PDFEnviron Health Prev Med
January 2025
Department of Epidemiology and Statistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College.
Background: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories.
Methods: This cross-sectional study involving 11833 Chinese adults aged 20 years and older.
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