ArticlePreventive nutrition and food science2018
Comparison of Obesity Prevalence and Dietary Intake in School-Aged Children Living in Rural and Urban Area of Croatia.
Article in Preventive nutrition and food science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- National Food Consumption Survey (NIPNOD 2018-2023): Results of Dietary Habits and Diet Quality Among Adolescents in Croatia.Children (Basel, Switzerland) · 2026Article
- The Connection Between Socioeconomic Factors and Dietary Habits of Children with Down Syndrome in Croatia.Foods (Basel, Switzerland) · 2025Article
- Effect of School-Based Educational Intervention on Childhood Obesity in Croatian Urban and Rural Settings.Children (Basel, Switzerland) · 2024Article
- Article
- Investigation of obesity, eating behaviors and physical activity levels living in rural and urban areas during the covid-19 pandemic era: a study of Turkish adolescent.BMC pediatrics · 2022Article
- Metabolic and Vascular Effect of the Mediterranean Diet.International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to explore the differences in nutritional status and dietary intakes in 12~17 year-old children living in urban (Zagreb) and the rural (Sinj and Drniš) area of Croatia. A validated food frequency questionnaire was used to assess dietary intake. For each participant, body weight and body height were measured and bioelectrical impedance was used to estimate the body fat percentage. There was an overall of 310 children included: 105 (33.9%) from urban area and 205 (66.1%) from rural area; 191 (61.6%) were female with a mean age 14.9 (range 12~17) years. When adjusted for age and gender, there was no statistically significant difference in body mass index for age Z-scores between urban and rural parts (0.23±0.07 vs. 0.30±1.15;
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