Greater cumulative exposure to a pro‐inflammatory diet is associated with higher metabolic syndrome score and blood pressure in young Mexican adults

Betanzos-Robledo, Larissa; Rodríguez‐Carmona, Yanelli; Contreras‐Manzano, Alejandra; Lamadrid‐Figueroa, Héctor; Jansen, Erica C.; Téllez‐Rojo, Martha María; Perng, Wei; Peterson, Karen E.; Hébert, James R.; Shivappa, Nittin; Wirth, Michael D.; Cantoral, Alejandra

doi:10.1016/j.nutres.2020.08.005

Cited by 13 publications

(20 citation statements)

References 30 publications

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“…Trained research staff collected duplicate measurements for body weight (kilograms [kg]) to the nearest 0.1 kg and height (centimeters [cm]) to the nearest 0.5 cm using in Time 1 a digital scale (BAME Model 420; Catálogo Médico/Tanita Co. Tokyo, Japan with height rod (model WB-3000m [38]), and only for weight in Time 2 and 3 the body composition device Inbody (model 230, Seoul, Korea). For waist circumference (cm), duplicate measurements were also performed to the nearest 0.1 cm using a non-stretchable measuring tape (SECA (model 201, Hamburg, Germany [38])). The average of the two measurements was used for the analysis [46].…”

Section: Anthropometric Measuresmentioning

confidence: 99%

“…Fasting blood samples were used to analyze serum glucose via automated chemiluminescence immunoassay (Immulite ® 1000; Siemens Medical Solutions, Erlangen, Germany) [46], and TG and HDL-C using a biochemical analyzer (Cobas Mira Plus; Roche Diagnostics) [46]. Levels of insulin were quantified via enzyme-linked immunosorbent assay chemiluminescence method with Immulite ® 1000; Siemens Medical Solutions, Erlangen, Germany [38]. A HOMA-IR was calculated as [fasting plasma glucose (mmol/L) × fasting serum insulin (mU/L))/22.5]; higher values represent lower insulin sensitivity/insulin resistance [47].…”

Section: Cardiometabolic Biomarkersmentioning

confidence: 99%

“…(2) fruits; (3) vegetables; (4) homemade fast food; (5) meat, sausages, and eggs; (6) fish and seafood; (7) legumes; (8) cereal and starchy vegetables; (9) corn products; (10) beverages; (11) snacks, sweets and desserts; (12) soups, creams, and pasta; (13) miscellaneous, and (14) tortillas. The FFQ queries usual intake over the previous week [38,48]. The frequency of consumption fell into 8 categories, ranging from never to 6 times a day [38].…”

Section: Diet Quality Scoresmentioning

confidence: 99%

“…The FFQ queries usual intake over the previous week [38,48]. The frequency of consumption fell into 8 categories, ranging from never to 6 times a day [38]. Mothers of children younger than 11 years of age attended the study visit and assisted in the FFQ session to improve the accuracy and validity of children's answers.…”

Section: Diet Quality Scoresmentioning

confidence: 99%

“…Current evidence about the associations between each of these diet quality scores and cardiometabolic risk in pediatric populations is inconsistent [10,[34][35][36][37][38][39], underscoring the need for prospective cohort studies that investigate the relationship between diet quality and cardiometabolic risk factors [18,35,[39][40][41]. Thus, the aim of this study was to investigate the relationship between diet quality scores, DASH, aMedDiet, and the Children's Dietary Inflammatory Index (C-DII TM ), and cardiometabolic risk factors using a repeated-measures longitudinal study design among Mexican youth enrolled in the Early Life Exposure in Mexico to Environmental Toxicants (ELEMENT) birth cohorts.…”

Section: Introductionmentioning

confidence: 99%

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Diet Quality Scores and Cardiometabolic Risk Factors in Mexican Children and Adolescents: A Longitudinal Analysis

et al. 2022

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There is limited evidence for the effects of diet on cardiometabolic profiles during the pubertal transition. We collected repeated measures of diet quality and cardiometabolic risk factors among Mexican youth. This analysis included 574 offspring of the Early Life Exposure in Mexico to Environmental Toxicants (ELEMENT) birth cohort followed up to three time points. Dietary Approaches to Stop Hypertension (DASH), alternate Mediterranean Diet (aMedDiet), and Children’s Dietary Inflammatory Index (C-DIITM) scores were computed from food frequency questionnaires. Higher DASH and aMedDiet scores reflect a higher diet quality, and lower C-DII scores reflect an anti-inflammatory diet. Cardiometabolic risk factors were lipid profile, glucose homeostasis, blood pressure, and waist circumference. Linear mixed models were used between quartiles of each diet score and outcomes. Compared to the first quartile, the fourth DASH quartile was inversely associated with log serum insulin (μIU/mL) [β = −0.19, p = 0.0034] and log-Homeostatic Model Assessment of Insulin Resistance [β = −0.25, p = 0.0008]. Additionally, log serum triglycerides (mg/dL) was linearly associated with aMedDiet score [β = −0.03, p = 0.0022]. Boys in the highest aMedDiet quartile had higher serum high-density lipoprotein cholesterol (mg/dL) [β = 4.13, p = 0.0034] compared to the reference quartile. Higher diet quality was associated with a better cardiometabolic profile among Mexican youth.

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Section: Anthropometric Measuresmentioning

confidence: 99%

Section: Cardiometabolic Biomarkersmentioning

confidence: 99%

Section: Diet Quality Scoresmentioning

confidence: 99%

Section: Diet Quality Scoresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Diet Quality Scores and Cardiometabolic Risk Factors in Mexican Children and Adolescents: A Longitudinal Analysis

et al. 2022

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The inflammatory potential of the diet in childhood is associated with cardiometabolic risk in adolescence/young adulthood in the ALSPAC birth cohort

et al. 2022

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Purpose This study examined the association between a Dietary Inflammatory Score adapted for children (cDIS) and Cardiometabolic Risk (CMR) score in adolescence/early adulthood in the Avon Longitudinal Study of Parents and Children (ALSPAC). Methods The cDIS was calculated at 7, 10 and 13 years using diet diary data. Anthropometric and biochemical data at 17 (N = 1937) and 24 (N = 1957) years were used to calculate CMR scores at each age [mean sex-specific z-scores from triacylglycerol, HDL-cholesterol, LDL-cholesterol, mean arterial blood pressure (MAP), homeostatic model assessment of insulin resistance (HOMA-IR) and fat-mass index (FMI)]. Multivariable linear regression models examined associations between cDIS at 7, 10 and 13 years and a continuous CMR z-score and individual CMR markers at 17 and 24 years. Results In fully adjusted models, a higher cDIS (more pro-inflammatory diet) at 7 years was associated with an increase in CMR z-score at 17 years (β 0.19; 95% CI 0.03–0.35 for third versus first cDIS tertile) and at 24 years (β 0.28; 95% CI 0.11,0.44 for third versus first cDIS tertile). There was a weak association between a higher cDIS at 10 years and an increase in CMR z-score at 17 years (β 0.16; 95% CI − 0.003, 0.32 for third versus first cDIS tertile). No other clear associations were evident. FMI, MAP and HOMA-IR were the main CMR factors contributing to these associations. Conclusion A more pro-inflammatory diet during childhood was associated with a worse cardiometabolic profile in late adolescence/early adulthood. A childhood diet abundant in nutrients with anti-inflammatory properties could help reduce development of CMR factors.

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Methods and tools used to describe and quantify the associations between diet, inflammation, and health

Hébert

2022

Diet, Inflammation, and Health

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Greater cumulative exposure to a pro‐inflammatory diet is associated with higher metabolic syndrome score and blood pressure in young Mexican adults

Cited by 13 publications

References 30 publications

Diet Quality Scores and Cardiometabolic Risk Factors in Mexican Children and Adolescents: A Longitudinal Analysis

Diet Quality Scores and Cardiometabolic Risk Factors in Mexican Children and Adolescents: A Longitudinal Analysis

The inflammatory potential of the diet in childhood is associated with cardiometabolic risk in adolescence/young adulthood in the ALSPAC birth cohort

Methods and tools used to describe and quantify the associations between diet, inflammation, and health

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