Literature DB >> 23158020

Dietary risk factors for the development of insulin resistance in adolescent girls: a 3-year prospective study.

James White1, Russell Jago2, Janice L Thompson2.   

Abstract

OBJECTIVE: Identifying risk factors for insulin resistance in adolescence could provide valuable information for early prevention. The study sought to identify risk factors for changes in insulin resistance and fasting blood glucose levels.
DESIGN: Prospective cohort of girls participating in the National Heart, Lung, and Blood Institute Growth and Health Study. SETTING USA
SUBJECTS: Adolescent girls (n 774) assessed at the ages of 16-17 and 18-19 years. Over a 3-year period, measurements of fasting blood glucose and insulin and serum cotinine were taken, and dietary intake (3 d food diary), smoking status and physical activity levels were self-reported.
RESULTS: Improvements in homeostasis model assessment of insulin resistance (HOMA-IR) were associated with increases in the percentage of energy intake from polyunsaturated fats (β = -3·33, 95% CI -6·28, -0·39, P = 0·03) and grams of soluble fibre (β = -5·20, 95% CI -9·81, -0·59, P = 0·03) between the ages of 16-17 and 18-19 years; with similar findings for insulin. Transitioning into obesity was associated with an increase in insulin (β = 6·34, 95% CI 2·78, 9·91, P < 0·001) and HOMA-IR (β = 28·77, 95% CI 8·13, 49·40, P = 0·006). Serum cotinine concentrations at 16-17 years, indicating exposure to tobacco, were associated with large increases (β = 15·43, 95% CI 6·09, 24·77, P < 0·001) in fasting blood glucose concentrations.
CONCLUSIONS: Increases in the percentage of energy from polyunsaturated fat and fibre, and avoidance of excess weight gain and tobacco exposure, could substantially reduce the risk of insulin resistance in late adolescence.

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Year:  2012        PMID: 23158020     DOI: 10.1017/S1368980012004983

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  8 in total

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Review 2.  Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies.

Authors:  Eleanor M Winpenny; Tarra L Penney; Kirsten Corder; Martin White; Esther M F van Sluijs
Journal:  Int J Behav Nutr Phys Act       Date:  2017-05-04       Impact factor: 6.457

3.  Interplay of an Obesity-Based Genetic Risk Score with Dietary and Endocrine Factors on Insulin Resistance.

Authors:  Omar Ramos-Lopez; José Ignacio Riezu-Boj; Fermin I Milagro; Marta Cuervo; Leticia Goni; J Alfredo Martinez
Journal:  Nutrients       Date:  2019-12-21       Impact factor: 5.717

Review 4.  Changes in consumption of added sugars from age 13 to 30 years: a systematic review and meta-analysis of longitudinal studies.

Authors:  E M Winpenny; T L Penney; K Corder; M White; E M F van Sluijs
Journal:  Obes Rev       Date:  2017-09-04       Impact factor: 9.213

5.  Effectiveness of physical activity intervention among government employees with metabolic syndrome.

Authors:  Chee Huei Phing; Hazizi Abu Saad; M Y Barakatun Nisak; M T Mohd Nasir
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6.  PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL.

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7.  Dietary Carbohydrates and Insulin Resistance in Adolescents from Marginalized Areas of Chiapas, México.

Authors:  Itandehui Castro-Quezada; Elena Flores-Guillén; Pilar E Núñez-Ortega; César A Irecta-Nájera; Xariss M Sánchez-Chino; Orquidia G Mendez-Flores; Zendy E Olivo-Vidal; Rosario García-Miranda; Roberto Solís-Hernández; Héctor Ochoa-Díaz-López
Journal:  Nutrients       Date:  2019-12-16       Impact factor: 5.717

8.  Dietary fibre intake in childhood or adolescence and subsequent health outcomes: A systematic review of prospective observational studies.

Authors:  Andrew N Reynolds; Huyen Tran Diep Pham; Jason Montez; Jim Mann
Journal:  Diabetes Obes Metab       Date:  2020-09-29       Impact factor: 6.577

  8 in total

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