Relationship between chrononutrition and cardiometabolic risk in prepubertal children with and without excess weight

被引:0
|
作者
Themistocles, Beatriz Louise Costa [1 ]
Jannuzzi, Fernanda Mussi Gazolla [2 ]
Grisolia, Alexandra Maria Monteiro [3 ]
Machado, Elisabeth [1 ]
Madeira, Isabel Rey [2 ]
Bouskela, Eliete [1 ]
Farinatti, Paulo [4 ]
de Oliveira, Cecilia Lacroix [5 ]
Collett-Solberg, Paulo Ferrez [2 ]
机构
[1] Univ Estado Rio De Janeiro, Biomed Ctr, Clin & Expt Res Lab Vasc Biol, BR-20550900 Rio De Janeiro, Brazil
[2] Univ Estado Rio De Janeiro, Fac Med Sci, Dept Pediat, Rio De Janeiro, Brazil
[3] Univ Estado Rio De Janeiro, Fac Med Sci, Dept Radiol, Rio De Janeiro, Brazil
[4] Univ Estado Rio De Janeiro, Inst Phys Educ & Sports, Lab Phys Act & Hlth Promot, Rio De Janeiro, Brazil
[5] Univ Estado Rio De Janeiro, Inst Nutr, Rio De Janeiro, Brazil
关键词
circadian rhythm; health; nutrients; paediatric obesity; CIRCADIAN-RHYTHMS; BODY-MASS; SCHOOLCHILDREN; ASSOCIATION; OVERWEIGHT; THICKNESS; PATTERNS; GLUCOSE; OBESITY; TIME;
D O I
10.1111/ijpo.70013
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background Chrononutrition may affect childhood cardiometabolic health. Understanding this relationship may be crucial for managing paediatric obesity. Objective To investigate the relationship between chrononutrition and cardiometabolic risk factors in prepubertal children. MethodsThis cross-sectional study included 93 participants (50 males, 5-12 years), categorized as healthy weight (HW, n = 34), overweight (OV, n = 10), obese (OB, n = 23) and severe obesity (SOB, n = 26). 24-h dietary recalls assessed participants' caloric and energy substrate intake, analysed for the morning (until 11 am), afternoon (11 am to 6 pm), night (after 6:01 pm), and total daily intake. Cardiometabolic risk was evaluated through fasting glycemia, insulinemia, HOMA-IR, total cholesterol (TC), HDL-cholesterol, LDL-cholesterol, triglycerides (TG), and ultrasound analysis of abdominal fat (AF) and carotid intima-media thickness (CIMT). Results OB and SOB subjects had significantly higher (p < 0.001) insulinemia, HOMA-IR, TG, and AF, compared to HW subjects. SOB subjects showed significantly higher (p < 0.05) total daily protein intake than HW subjects. Considering the total sample, morning carbohydrate intake was inversely associated (p < 0.05; r = -0.21) with TC. Afternoon total calories (r = -0.33), carbohydrate (r = -0.35), and lipid (r = -0.23) intake were inversely associated (p < 0.05) with insulinemia. Higher lipid intake was linked to lower HDL-cholesterol (r = -0.22), while protein intake was linked to higher BMI Z-Score (r = 0.25) and glycemia (r = 0.23). Nighttime protein intake was positively correlated (p < 0.05) with BMI Z-Score (r = 0.24), insulinemia (r = 0.24), HOMA-IR (r = 0.27), TG (r = 0.25), AF (r = 0.25), and CIMT (r = 0.27). Conclusion Higher morning and afternoon carbohydrate intake, increased afternoon caloric and lipid intake, and lower afternoon and night protein intake in prepubescents were associated with a better health profile, including improvements in cardiometabolic risk factors.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] The Relationship Between Stature, Growth, and Short-term Changes in Height and Weight in Normal Prepubertal Children
    Vallo Tillmann
    Nandu K S Thalange
    Peter J Foster
    Matthew S Gill
    David A Price
    Peter E Clayton
    Pediatric Research, 1998, 44 : 882 - 886
  • [22] The relationship between stature, growth, and short-term changes in height and weight in normal prepubertal children
    Tillmann, V
    Thalange, NKS
    Foster, PJ
    Gill, MS
    Price, DA
    Clayton, PE
    PEDIATRIC RESEARCH, 1998, 44 (06) : 882 - 886
  • [23] Physical fitness as a moderator in the relationship between adiposity and cardiometabolic risk factors in children and adolescents
    Brand, Caroline
    Sehn, Ana P.
    Gaya, Anelise R.
    Mota, Jorge
    Brazo-Sayavera, Javier
    Renner, Jane D.
    Reuter, Cezane P.
    JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS, 2020, 60 (12): : 1567 - 1575
  • [24] BMI as a Mediator of the Relationship between Muscular Fitness and Cardiometabolic Risk in Children: A Mediation Analysis
    Diez-Fernandez, Ana
    Sanchez-Lopez, Mairena
    Gulias-Gonzalez, Roberto
    Notario-Pacheco, Blanca
    Canete Garcia-Prieto, Jorge
    Arias-Palencia, Natalia
    Martinez-Vizcaino, Vicente
    PLOS ONE, 2015, 10 (01):
  • [25] Relationship between insulin sensitivity and IGF-I sensitivity in low birth weight prepubertal children
    Roman, Rossana
    Iniguez, German
    Salazar, Teresa
    Avila, Alejandra
    Barrera, Alvaro
    Mericq, Veronica
    Attie, Kenneth M.
    Cassorla, Fernando
    HORMONE RESEARCH, 2008, 70 (02) : 73 - 78
  • [26] Accuracy of Cardiorespiratory Fitness and Adiposity to Discriminate Elevated Cardiometabolic Risk Among Prepubertal Children
    Tompuri, Tuomo
    Jaaskelainen, Jarmo
    Haapala, Eero
    Laitinen, Tomi
    Lakka, Timo A.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2017, 49 (05): : 731 - 731
  • [27] Cardiometabolic Associations between Physical Activity, Adiposity, and Lipoprotein Subclasses in Prepubertal Norwegian Children
    Rajalahti, Tarja
    Aadland, Eivind
    Resaland, Geir Kate
    Anderssen, Sigmund Alfred
    Kvalheim, Olav Martin
    NUTRIENTS, 2021, 13 (06)
  • [28] Effects of energy restriction with and without almonds on weight and cardiometabolic risk factors
    Carter, S.
    Hill, A. M.
    Mead, L. C.
    Wong, H. Y.
    Buckley, J. D.
    Yandell, C.
    Tan, S. -Y.
    Rogers, G. B.
    Coates, A. M.
    PROCEEDINGS OF THE NUTRITION SOCIETY, 2023, 82 (OCE2)
  • [29] Relationship between nutritional status and cardiometabolic risk in schoolchildren
    Segovia, Jeaneth Veronica Pacheco
    Zurita, Myriam Jicela Andrade
    Mazon, Clara de las Mercedes Mayorga
    Aguirre, Susana Isabel Heredia
    REVISTA CUBANA DE REUMATOLOGIA, 2023, 25 (03):
  • [30] The relationship between adiposity and stature in prepubertal children with celiac disease
    Nwosu, Benjamin Udoka
    Snook, Rachel I.
    Maranda, Louise
    JOURNAL OF PEDIATRIC ENDOCRINOLOGY & METABOLISM, 2013, 26 (9-10): : 819 - 824