Intake and Dietary Food Sources of Fibre in Spain: Differences with Regard to the Prevalence of Excess Body Weight and Abdominal Obesity in Adults of the ANIBES Study

The aim was to study the intake and food sources of fibre in a representative sample of Spanish adults and to analyse its association with excess body weight and abdominal obesity. A sample of 1655 adults (18–64 years) from the ANIBES (“Anthropometric data, macronutrients and micronutrients intake, practice of physical activity, socioeconomic data and lifestyles”) cross-sectional study was analysed. Fibre intake and dietary food sources were determined by using a three-day dietary record. Misreporters were identified using the protocol of the European Food Safety Authority. Mean (standard deviation) fibre intake was 12.59 (5.66) g/day in the whole sample and 15.88 (6.29) g/day in the plausible reporters. Mean fibre intake, both in the whole sample and the plausible reporters, was below the adequate intake established by European Food Safety Authority (EFSA) and the Institute of Medicine of the United States (IOM). Main fibre dietary food sources were grains, followed by vegetables, fruits, and pulses. In the whole sample, considering sex, and after adjusting for age and physical activity, mean (standard error) fibre intake (adjusted by energy intake) was higher in subjects who had normal weight (NW) 13.40 (0.184) g/day, without abdominal obesity 13.56 (0.192) g/day or without excess body weight and/or abdominal obesity 13.56 (0.207) g/day compared to those who were overweight (OW) 12.31 (0.195) g/day, p < 0.001 or obese (OB) 11.83 (0.266) g/day, p < 0.001, with abdominal obesity 12.09 (0.157) g/day, p < 0.001 or with excess body weight and/or abdominal obesity 12.22 (0.148) g/day, p < 0.001. There were no significant differences in relation with the fibre intake according to the body mass index (BMI), presence or absence of abdominal obesity or excess body weight and/or abdominal obesity in the plausible reporters. Fibre from afternoon snacks was higher in subjects with NW (6.92%) and without abdominal obesity (6.97%) or without excess body weight and/or abdominal obesity (7.20%), than those with OW (5.30%), p < 0.05 or OB (4.79%), p < 0.05, with abdominal obesity (5.18%), p < 0.01, or with excess body weight and/or abdominal obesity (5.21%), p < 0.01, in the whole sample. Conversely, these differences were not observed in the plausible reporters. The present study demonstrates an insufficient fibre intake both in the whole sample and in the plausible reporters and confirms its association with excess body weight and abdominal obesity only when the whole sample was considered.

[1]  L. Serra-Majem,et al.  Reported Dietary Intake, Disparity between the Reported Consumption and the Level Needed for Adequacy and Food Sources of Calcium, Phosphorus, Magnesium and Vitamin D in the Spanish Population: Findings from the ANIBES Study † , 2017, Nutrients.

[2]  L. Serra-Majem,et al.  Overweight and General and Abdominal Obesity in a Representative Sample of Spanish Adults: Findings from the ANIBES Study , 2016, BioMed research international.

[3]  A. Martí,et al.  Association between dietary fibre intake and fruit, vegetable or whole-grain consumption and the risk of CVD: results from the PREvención con DIeta MEDiterránea (PREDIMED) trial , 2016, British Journal of Nutrition.

[4]  J. Aranceta-Bartrina,et al.  Prevalence of General Obesity and Abdominal Obesity in the Spanish Adult Population (Aged 25-64 Years) 2014-2015: The ENPE Study. , 2016, Revista espanola de cardiologia.

[5]  N. Ramos-Carrera,et al.  Prevalencia de obesidad general y obesidad abdominal en la población adulta española (25–64 años) 2014–2015: estudio ENPE , 2016 .

[6]  A. Birkett,et al.  Healthy Eating Index-2010 and food groups consumed by US adults who meet or exceed fiber intake recommendations NHANES 2001–2010 , 2016, Food & nutrition research.

[7]  L. Serra-Majem,et al.  Macronutrient Distribution and Dietary Sources in the Spanish Population: Findings from the ANIBES Study , 2016, Nutrients.

[8]  Raquel Aparicio-Ugarriza,et al.  Physical Activity Patterns of the Spanish Population Are Mostly Determined by Sex and Age: Findings in the ANIBES Study , 2016, PloS one.

[9]  Jimmy D Bell,et al.  A randomized controlled trial: the effect of inulin on weight management and ectopic fat in subjects with prediabetes , 2015, Nutrition & Metabolism.

[10]  M. Sjöström,et al.  Dietary fiber intake and its association with indicators of adiposity and serum biomarkers in European adolescents: the HELENA study , 2015, European Journal of Nutrition.

[11]  P. Mirmiran,et al.  Cereal, fruit and vegetable fibre intake and the risk of the metabolic syndrome: a prospective study in the Tehran Lipid and Glucose Study. , 2015, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[12]  B. Popkin,et al.  Environmental, Dietary, and Behavioral Factors Distinguish Chinese Adults with High Waist-to-Height Ratio with and without Inflammation. , 2015, The Journal of nutrition.

[13]  I. Bautista-Castaño,et al.  Relationship between bread and obesity , 2015, British Journal of Nutrition.

[14]  E. Ruiz,et al.  Energy balance, a new paradigm and methodological issues: the ANIBES study in Spain. , 2015, Nutricion hospitalaria.

[15]  Walter C Willett,et al.  Comparison of methods to account for implausible reporting of energy intake in epidemiologic studies. , 2015, American journal of epidemiology.

[16]  V. Fulgoni,et al.  Ten-Year Trends in Fiber and Whole Grain Intakes and Food Sources for the United States Population: National Health and Nutrition Examination Survey 2001–2010 , 2015, Nutrients.

[17]  L. Serra-Majem,et al.  The ANIBES Study on Energy Balance in Spain: Design, Protocol and Methodology , 2015, Nutrients.

[18]  J. Ordovás,et al.  Soluble and insoluble dietary fibre intake and risk factors for metabolic syndrome and cardiovascular disease in middle-aged adults: the AWHS cohort. , 2014, Nutricion hospitalaria.

[19]  R. Ortega,et al.  Sodium intake may promote weight gain; results of the FANPE study in a representative sample of the adult Spanish population. , 2014, Nutricion hospitalaria.

[20]  A. Albertson,et al.  Total dietary fiber intakes in the US population are related to whole grain consumption: results from the National Health and Nutrition Examination Survey 2009 to 2010. , 2014, Nutrition research.

[21]  A. Naska,et al.  Pilot study in the view of a Pan‐European dietary survey – adolescents, adults and elderly , 2013 .

[22]  N. Pérez-Farinós,et al.  Associated factors of obesity in Spanish representative samples. , 2013, Nutricion hospitalaria.

[23]  F. Félix-Redondo,et al.  Prevalence of obesity and associated cardiovascular risk: the DARIOS study , 2013, BMC Public Health.

[24]  Carol A. Lambourne,et al.  Trends in dietary fiber intake in the United States, 1999-2008. , 2012, Journal of the Academy of Nutrition and Dietetics.

[25]  M. Ashwell,et al.  Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[26]  I. Huybrechts,et al.  Fibre intake among the Belgian population by sex-age and sex-education groups and its association with BMI and waist circumference. , 2011, The British journal of nutrition.

[27]  Klaus G. Grunert,et al.  Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK , 2010, Appetite.

[28]  Margaret Ashwell,et al.  A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value , 2010, Nutrition Research Reviews.

[29]  G. Frost,et al.  Free fatty acid receptor 2 and nutrient sensing: a proposed role for fibre, fermentable carbohydrates and short-chain fatty acids in appetite regulation , 2010, Nutrition Research Reviews.

[30]  Henry Völzke,et al.  The predictive value of different measures of obesity for incident cardiovascular events and mortality. , 2010, The Journal of clinical endocrinology and metabolism.

[31]  Efsa Panel on Dietetic Products Scientific Opinion on Dietary Reference Values for carbohydrates and dietary fibre , 2010 .

[32]  D. van der A,et al.  Dietary fiber and subsequent changes in body weight and waist circumference in European men and women. , 2010, The American journal of clinical nutrition.

[33]  J. Lupton Sugar and fiber intake and type of adiposity: are they related? , 2009, The American journal of clinical nutrition.

[34]  S. Srinivasan,et al.  Utility of waist-to-height ratio in detecting central obesity and related adverse cardiovascular risk profile among normal weight younger adults (from the Bogalusa Heart Study). , 2009, The American journal of cardiology.

[35]  T. Akhavan,et al.  Reduced energy intake at breakfast is not compensated for at lunch if a high-insoluble-fiber cereal replaces a low-fiber cereal. , 2009, The American journal of clinical nutrition.

[36]  R. Rabasa-Lhoret,et al.  Fiber intake predicts ghrelin levels in overweight and obese postmenopausal women. , 2009, European journal of endocrinology.

[37]  L. Tucker,et al.  Increasing total fiber intake reduces risk of weight and fat gains in women. , 2009, The Journal of nutrition.

[38]  J. Martínez,et al.  Association of fiber intake and fruit/vegetable consumption with weight gain in a Mediterranean population. , 2006, Nutrition.

[39]  Joanne L Slavin,et al.  Dietary fiber and body weight. , 2005, Nutrition.

[40]  M. Ashwell,et al.  Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity , 2005, International journal of food sciences and nutrition.

[41]  E. Rimm,et al.  Changes in whole-grain, bran, and cereal fiber consumption in relation to 8-y weight gain among men. , 2004, The American journal of clinical nutrition.

[42]  P. Wilson,et al.  Carbohydrate nutrition, insulin resistance, and the prevalence of the metabolic syndrome in the Framingham Offspring Cohort. , 2004, Diabetes care.

[43]  J. Manson,et al.  Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. , 2003, The American journal of clinical nutrition.

[44]  B. Ainsworth,et al.  International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.

[45]  P. Robson,et al.  The North/South Ireland Food Consumption Survey: the dietary fibre intake of Irish adults , 2001, Public Health Nutrition.

[46]  A. Astrup,et al.  Obesity : Preventing and managing the global epidemic , 2000 .

[47]  AE Black,et al.  Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations , 2000, International Journal of Obesity.

[48]  A. Black The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity , 2000, European Journal of Clinical Nutrition.

[49]  S A Jebb,et al.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. , 1991, European journal of clinical nutrition.

[50]  P. Guenther,et al.  Mean proportion and population proportion: two answers to the same question? , 1989, Journal of the American Dietetic Association.

[51]  Meir J. Stampfer,et al.  Total energy intake: implications for epidemiologic analyses. , 1986, American journal of epidemiology.

[52]  W. Willett,et al.  Reproducibility and validity of a semiquantitative food frequency questionnaire. , 1985, American journal of epidemiology.

[53]  Josef Schlatter,et al.  Draft guidance on the preparation and presentation of a 1 notification for authorisation of Traditional Foods from 2 third countries 3 EFSA Panel on Dietetic Products , Nutrition and Allergies ( NDA ) , 2016 .

[54]  M. Litwin,et al.  Intestinal Microbiota, Obesity and Prebiotics. , 2015, Polish journal of microbiology.

[55]  R. Goldbohm,et al.  Whole-grain consumption, dietary fibre intake and body mass index in the Netherlands cohort study , 2009, European Journal of Clinical Nutrition.

[56]  Jean M Kerver,et al.  Meal and snack patterns are associated with dietary intake of energy and nutrients in US adults. , 2006, Journal of the American Dietetic Association.

[57]  Who Consultation on Obesity Obesity: preventing and managing the global epidemic. Report of a WHO consultation. , 2000, World Health Organization technical report series.

[58]  W. Schofield Predicting basal metabolic rate, new standards and review of previous work. , 1985, Human nutrition. Clinical nutrition.

[59]  Schofield Wn,et al.  Predicting basal metabolic rate, new standards and review of previous work , 1985 .