Title | Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis |
Authors | Shang, Xianwen Li, Yanping Xu, Haiquan Zhang, Qian Liu, Ailing Du, Songming Guo, Hongwei Ma, Guansheng |
Affiliation | Chinese Ctr Dis Control & Prevent, Natl Inst Nutr & Hlth, Beijing, Peoples R China Australian Catholic Univ, Sch Behav & Hlth Sci, Melbourne, Vic, Australia Univ Melbourne, Dept Med, Royal Melbourne Hosp, Melbourne, Vic, Australia Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA Minist Agr & Rural Affairs, Inst Food & Nutr Dev, Beijing, Peoples R China Chinese Nutr Soc, Beijing, Peoples R China Fudan Univ, Sch Publ Hlth, Shanghai, Peoples R China Peking Univ, Sch Publ Hlth, Dept Nutr & Food Hyg, 38 Xue Yuan Rd, Beijing 100191, Peoples R China |
Keywords | CARDIOVASCULAR-DISEASE METABOLIC SYNDROME CHILDHOOD OBESITY BODY-COMPOSITION INTERVENTION ADULTHOOD ADOLESCENTS INDEXES |
Issue Date | 19-Sep-2020 |
Publisher | NUTRITION JOURNAL |
Abstract | Background Identifying leading dietary determinants for cardiometabolic risk (CMR) factors is urgent for prioritizing interventions in children. We aimed to identify leading dietary determinants for the change in CMR and create a healthy diet score (HDS) to predict CMR in children. Methods We included 5676 children aged 6-13 years in the final analysis with physical examinations, blood tests, and diets assessed at baseline and one year later. CMR score (CMRS) was computed by summing Z-scores of waist circumference, an average of systolic and diastolic blood pressure (SBP and DBP), fasting glucose, high-density lipoprotein cholesterol (HDL-C, multiplying by - 1), and triglycerides. Machine learning was used to identify leading dietary determinants for CMR and an HDS was then computed. Results The nine leading predictors for CMRS were refined grains, seafood, fried foods, sugar-sweetened beverages, wheat, red meat other than pork, rice, fungi and algae, and roots and tubers with the contribution ranging from 3.9 to 19.6% of the total variance. Diets high in seafood, rice, and red meat other than pork but low in other six food groups were associated with a favorable change in CMRS. The HDS was computed based on these nine dietary factors. Children with HDS >= 8 had a higher decrease in CMRS (beta (95% CI): - 1.02 (- 1.31, - 0.73)), BMI (- 0.08 (- 0.16, - 0.00)), SBP (- 0.46 (- 0.58, - 0.34)), DBP (- 0.46 (- 0.58, - 0.34)), mean arterial pressure (- 0.50 (- 0.62, - 0.38)), fasting glucose (- 0.22 (- 0.32, - 0.11)), insulin (- 0.52 (- 0.71, - 0.32)), and HOMA-IR (- 0.55 (- 0.73, - 0.36)) compared to those with HDS <= 3. Improved HDS during follow-up was associated with favorable changes in CMRS, BMI, percent body fat, SBP, DBP, mean arterial pressure, HDL-C, fasting glucose, insulin, and HOMA-IR. Conclusion Diets high in seafood, rice, and red meat other than pork and low in refined grains, fried foods, sugar-sweetened beverages, and wheat are leading healthy dietary factors for metabolic health in children. HDS is strongly predictive of CMR factors. |
URI | http://hdl.handle.net/20.500.11897/592302 |
DOI | 10.1186/s12937-020-00611-2 |
Indexed | SCI(E) |
Appears in Collections: | 公共卫生学院 |