Abstract
Background
Objective
Design
Participants
Main outcome measures
Statistical analysis performed
Results
Conclusions
Keywords
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of the Academy of Nutrition and DieteticsReferences
- Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment.Lancet Diabetes Endocrinol. 2014; 2: 634-647https://doi.org/10.1016/S2213-8587(14)70102-0
- Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Stu.Lancet. 2018; 392: 1923-1994https://doi.org/10.1016/S0140-6736(17)32366-8
- Global burden of cardiovascular diseases and risk factors, 1990–2019: Update from the GBD 2019 study.J Am Coll Cardiol. 2020; 76: 2982-3021https://doi.org/10.1016/j.jacc.2020.11.010
- Tracking of cardiometabolic risk factor clustering from childhood to adulthood.Int J Pediatr Obes. 2010; 5: 122-129https://doi.org/10.3109/17477160903111763
- The emergence of cardiometabolic disease risk in Chinese children and adults: Consequences of changes in diet, physical activity and obesity.Obes Rev. 2014; 15: 49-59
- Cardiovascular disease risk in healthy children and its association with body mass index: Systematic review and meta-analysis.BMJ Br Med J. 2012; 345
- The epidemiological burden of obesity in childhood: A worldwide epidemic requiring urgent action.BMC Med. 2019; 17: 212https://doi.org/10.1186/s12916-019-1449-8
- Dietary patterns, inflammation and the metabolic syndrome.Diabetes Metab. 2013; 39: 99-110
- Dietary patterns and cardiometabolic risk factors among adolescents: Systematic review and meta-analysis.Br J Nutr. 2018; 119: 859-879https://doi.org/10.1017/S0007114518000533
- Current evidence on the association of the metabolic syndrome and dietary patterns in a global perspective.Nutr Res Rev. 2016; 29: 152-162
- Association between dietary pattern and cardiometabolic risk in children and adolescents: A systematic review.J Pediatr (Rio J). 2017; 93: 214-222https://doi.org/10.1016/j.jpedp.2017.02.015
- Longitudinal associations of away-from-home eating, snacking, screen time, and physical activity behaviors with cardiometabolic risk factors among Chinese children and their parents.Am J Clin Nutr. 2017; 106: 168-178https://doi.org/10.3945/ajcn.116.146217
- Impact of diet on cardiometabolic health in children and adolescents.Nutr J. 2015; 14: 118
- Dietary inflammatory potential, cardiometabolic risk and inflammation in children and adolescents: A systematic review.Crit Rev Food Sci. 2021; 61: 407-416https://doi.org/10.1080/10408398.2020.1734911
- Dietary inflammation and cardiometabolic health in adolescents.Pediatr Obes. 2021; 16: e12706https://doi.org/10.1111/ijpo.12706
- A comprehensive definition for metabolic syndrome.Dis Model Mech. 2009; 2 (231-223)
- The metabolic syndrome in children and adolescents: Shifting the focus to cardiometabolic risk factor clustering.Pediatrics. 2017; e20171603
- Predicting cardiovascular risk in young adulthood from the metabolic syndrome, its component risk factors, and a cluster score in childhood.Int J Pediatr Obes. 2011; 6: e283-e289
- A confirmatory factor analysis of the metabolic syndrome in adolescents: An examination of sex and racial/ethnic differences.Cardiovasc Diabetol. 2012; 11: 1https://doi.org/10.1186/1475-2840-11-128
- Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.Diabetologia. 2014; 57: 940-949https://doi.org/10.1007/s00125-014-3172-5
- Cardiometabolic risk variables in preadolescent children: A factor analysis.J Am Heart Assoc. 2017; 6e007071
- Int J Epidemiol. 2010; 39: 1435-1440https://doi.org/10.1093/ije/dyp322
- Development of a dietary index to assess overall diet quality for Chinese school-aged children: The Chinese Children Dietary Index.J Acad Nutr Diet. 2016; 116: 608-617https://doi.org/10.1016/j.jand.2015.11.010
- The transition of Chinese dietary guidelines and the food guide pagoda.Asia Pac J Clin Nutr. 2011; 20: 439
- Chinese Nutrition Society. Dietary Reference Intakes for Chinese. Science Press,
2014Version: Version 20
- Dynamics of the Chinese diet and the role of urbanicity, 1991–2011.Obes Rev. 2014; 15 (https://doi.org/10.1111/obr.12124): 16-26https://doi.org/10.1111/obr.12124
Wang GY, Shen ZP. Chinese food composition table 1991. Beijing People’s Heal Publ House Press, 1991.
Yang Y, Wang G, Pan X. Chinese food composition table 2002. Peking Univ Med Press, 2002.
- Chinese Food Composition Table 2004. Peking University Medical Press, 2005
- The LMS method for constructing normalized growth standards.Eur J Clin Nutr. 1990; 44: 45-60
- Waist circumference distribution of Chinese school-age children and adolescents.Biomed Environ Sci. 2010; 23: 12-20https://doi.org/10.1016/S0895-3988(10)60026-8
- Body mass index growth curves for Chinese children and adolescents aged 0 to 18 years.Zhonghua er ke za zhi. 2009; 47: 493-498
- National blood pressure reference for Chinese Han children and adolescents aged 7 to 17 years.Hypertension. 2017; 70: 897-906https://doi.org/10.1161/HYPERTENSIONAHA.117.09983
- Understanding community context and adult health changes in China: Development of an urbanicity scale.Soc Sci Med. 2010; 71: 1436-1446
- Compendium of physical activities: A second update of codes and MET values.Yearb Sports Med. 2011; 2012: 126-127
- Davey Smith G. (Mis) use of factor analysis in the study of insulin resistance syndrome.Am J Epidemiol. 2004; 159: 1013-1018
- Elevated systolic blood pressure as a cardiovascular risk factor.Am J Cardiol. 2000; 85: 251-255
- Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.Struct Equ Modeling. 1999; 6: 1-55
- Mplus 7th ed.[computer software]. Calif Los Angeles.2012
- SAS. Institute SAS,
2012Version: Version 9.4
- Dietary patterns and their association with body composition and cardiometabolic markers in children and adolescents: Genobox cohort.Nutrients. 2020; 12: 1-18https://doi.org/10.3390/nu12113424
- Dietary pattern and its association with the prevalence of obesity and related cardiometabolic risk factors among Chinese children.PLoS One. 2012; 7 (e43183–e43183)https://doi.org/10.1371/journal.pone.0043183
- Dietary patterns and their associations with childhood obesity in China.Br J Nutr. 2015; 113: 1978-1984https://doi.org/10.1017/S0007114515001154
- Intake of milk, but not total dairy, yogurt, or cheese, is negatively associated with the clustering of cardiometabolic risk factors in adolescents.Nutr Res. 2014; 34: 48-57https://doi.org/10.1016/j.nutres.2013.10.008
- Dietary quality indices in relation to cardiometabolic risk among Finnish children aged 6–8 years–The PANIC study.Nutr Metab Cardiovasc Dis. 2016; 26: 833-841https://doi.org/10.1016/j.numecd.2016.05.005
- The clustering of low diet quality, low physical fitness, and unhealthy sleep pattern and its association with changes in cardiometabolic risk factors in children.Nutrients. 2020; 12: 591
- Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: A longitudinal analysis.Nutr J. 2020; 19: 1-16https://doi.org/10.1186/s12937-020-00611-2
- Energy balance and obesity: What are the main drivers?.Cancer Causes Control. 2017; 28: 247-258
- Impact of micronutrient deficiencies on obesity.Nutr Rev. 2009; 67: 559-572https://doi.org/10.1111/j.1753-4887.2009.00228.x
- Advances in understanding the interrelations between leptin resistance and obesity.Physiol Behav. 2014; 130: 157-169https://doi.org/10.1016/j.physbeh.2014.04.003
- Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors.J Res Med Sci. 2015; 20: 294
- A perspective on vegetarian dietary patterns and risk of metabolic syndrome.Br J Nutr. 2015; 113: S136-S143
- Evaluation of the 24-hour individual recall method in China.Food Nutr Bull. 1996; 17: 154-161
Biography
Biography
Biography
Biography
Biography
Biography
Article info
Publication history
Footnotes
Supplementary materials: Tables 2 and 4 are available at www.jandonline.org
Reprint contact: Qi-qiang He, PhD, School of Health Sciences, Wuhan University, Wuhan, PR China. E-mail: [email protected]
STATEMENT OF POTENTIAL CONFLICT OF INTEREST No potential conflict of interest was reported by the authors.
FUNDING/SUPPORT There is no funding to disclose.