Abstract
Purpose
High dietary acid load (DAL) may have an influence on anthropometric indices. Given that there was no study on the association between DAL and anthropometric indices children and adolescents, the current study was aimed to examine the association between DAL and anthropometric indices in Iranian children and adolescents.
Methods
Students aged 6–18 years were recruited using a multi-stage, cluster sampling method from 30 provinces of Iran. Dietary intake was assessed through a validated food frequency questionnaire. Height (Ht), weight (Wt), neck circumference (NC), waist circumference (WC), wrist circumference, and hip circumference (HC) were measured. WC-to-HC ratio (WHR), WC-to-Ht ratio (WHtR), body mass index (BMI) z-score, tri-ponderal mass index (TMI), and parental BMI were computed. Potential renal acid load (PRAL) and net endogenous acid production (NEAP) were used to estimate DAL. The association between DAL and anthropometric indices was evaluated using linear regression models.
Results
In total, 5326 students (46.92% girls), with mean (standard deviations (SD)) age of 12.50 (3.14) years participated in the study (response rate: 98.13%). After adjusting for confounders, there was a significant association between NEAP and NC (P < 0.05). Also, an inverse association was observed between PRAL and NEAP with parental BMI (P < 0.05).
Conclusion
Our findings showed a direct association between diet-induced acid load and NC and an inverse association between DAL indices and parental BMI. More well-designed clinical studies are warranted to confirm our results and the underlying mechanisms.
Level of evidence
Level V, cross-sectional descriptive study.
Similar content being viewed by others
Data availability
Data supporting our conclusions can be found at the Child Growth and Development Research Center, Isfahan University of Medical Sciences, Isfahan, Iran and Alborz University of Medical Sciences, Karaj, Iran.
Abbreviations
- ANOVA:
-
Analysis of variance
- BP:
-
Blood pressure
- BMI:
-
Body mass index;
- CASPIAN-IV:
-
Childhood and Adolescence Surveillance and PreventIon of Adult Non-communicable disease-IV
- DAL:
-
Dietary acid load
- DBP:
-
Diastolic blood pressure
- FFM:
-
Fat-free mass
- FFQ:
-
Food Frequency Questionnaire
- Ht:
-
Height
- HDL-C:
-
High-density lipoprotein cholesterol
- HC:
-
Hip circumference
- HTN:
-
Hypertension
- IQR:
-
Interquartile range
- LDL-C:
-
Low-density lipoprotein cholesterol
- NC:
-
Neck circumference
- NEAP:
-
Net endogenous acid production
- PC:
-
Personal computer
- PCA:
-
Principle component analysis
- PA:
-
Physical activity
- PAQ-A:
-
Physical Activity Questionnaire for Adolescents
- PRAL:
-
Potential renal acid load
- ST:
-
Screen time
- SES:
-
Socioeconomic status
- SBP:
-
Systolic blood pressure
- TC:
-
Total cholesterol
- TG:
-
Triglyceride
- TMI:
-
Tri-ponderal mass index
- WC:
-
Waist circumference
- Wt:
-
Weight
- WHR:
-
WC-to-HC ratio
- WHtR:
-
WC-to-Ht ratio
- WHO-GSHS:
-
World Health Organization Global School-based Student Health Survey
References
World Health, O (2016) Report of the commission on ending childhood obesity. World Health Organization
Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon-Moran D, Kit BK (2016) Trends in obesity prevalence among children and adolescents in the United States 1988–1994 through 2013–2014. JAMA 315:2292–2299. https://doi.org/10.1001/jama.2016.6361
Elkum N, Al-Arouj M, Sharifi M, Shaltout A, Bennakhi A (2016) Prevalence of childhood obesity in the state of Kuwait. Pediatr Obes 11:e30–e34. https://doi.org/10.1111/ijpo.12090
Sultana A, Banik S, Hossain MS, Billah M, Afrin F (2016) The prevalence of childhood overweight and obesity in the children of Noakhali City in Bangladesh. J Res Obes. https://doi.org/10.5171/2016.216173
Kelishadi R, Ardalan G, Gheiratmand R, Majdzadeh R, Hosseini M, Gouya MM (2008) Thinness, overweight and obesity in a national sample of Iranian children and adolescents: CASPIAN Study. Child Care Health Dev 34:44–54. https://doi.org/10.1111/j.1365-2214.2007.00744.x
Tsiros MD, Coates AM, Howe PR, Grimshaw PN, Buckley JD (2011) Obesity: the new childhood disability? Obes Rev 12:26–36. https://doi.org/10.1111/j.1467-789X.2009.00706.x
Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH (1997) Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med 337:869–873. https://doi.org/10.1056/NEJM199709253371301
Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M (2011) Health and economic burden of the projected obesity trends in the USA and the UK. Lancet 378:815–825. https://doi.org/10.1016/S0140-6736(11)60814-3
Remer T, Dimitriou T, Manz F (2003) Dietary potential renal acid load and renal net acid excretion in healthy, free-living children and adolescents. Am J Clin Nutr 77:1255–1260. https://doi.org/10.1093/ajcn/77.5.1255
Manz F (2001) History of nutrition and acid-base physiology. Eur J Nutr 40:189–199. https://doi.org/10.1007/s394-001-8346-7
Mitch WE, Du J (2004) Cellular mechanisms causing loss of muscle mass in kidney disease. Semin Nephrol 24:484–487. https://doi.org/10.1016/j.semnephrol.2004.06.014
Mozaffari H, Namazi N, Larijani B, Bellissimo N, Azadbakht L (2019) Association of dietary acid load with cardiovascular risk factors and the prevalence of metabolic syndrome in Iranian women: a cross-sectional study. Nutrition. https://doi.org/10.1016/j.nut.2019.110570
Remer T (2000) ACID-BASE IN RENAL FAILURE: influence of diet on acid-base balance. Semin Dial 13:221–226. https://doi.org/10.1046/j.1525-139x.2000.00062.x
Maalouf NM, Cameron MA, Moe OW, Sakhaee K (2010) Metabolic basis for low urine pH in type 2 diabetes. Clin J Am Soc Nephrol 5:1277–1281. https://doi.org/10.2215/CJN.08331109
Bahadoran Z, Mirmiran P, Khosravi H, Azizi F (2015) Associations between dietary acid-base load and cardiometabolic risk factors in adults: the Tehran Lipid and Glucose Study. Endocrinol Metab (Seoul) 30:201–207. https://doi.org/10.3803/EnM.2015.30.2.201
Fung TT, Schulze M, Manson JE, Willett WC, Hu FB (2004) Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med 164:2235–2240. https://doi.org/10.1001/archinte.164.20.2235
van Dam RM, Rimm EB, Willett WC, Stampfer MJ, Hu FB (2002) Dietary patterns and risk for type 2 diabetes mellitus in US men. Ann Intern Med 136:201–209. https://doi.org/10.7326/0003-4819-136-3-200202050-00008
Remer T (2001) Influence of nutrition on acid-base balance–metabolic aspects. Eur J Nutr 40:214–220. https://doi.org/10.1007/s394-001-8348-1
Adeva MM, Souto G (2011) Diet-induced metabolic acidosis. Clin Nutr 30:416–421. https://doi.org/10.1016/j.clnu.2011.03.008
Frassetto LA, Todd KM, Morris RC Jr, Sebastian A (1998) Estimation of net endogenous noncarbonic acid production in humans from diet potassium and protein contents. Am J Clin Nutr 68:576–583. https://doi.org/10.1093/ajcn/68.3.576
Akter S, Eguchi M, Kuwahara K, Kochi T, Ito R, Kurotani K et al (2016) High dietary acid load is associated with insulin resistance: the Furukawa Nutrition and Health Study. Clin Nutr 35:453–459. https://doi.org/10.1016/j.clnu.2015.03.008
Zhang L, Curhan GC, Forman JP (2009) Diet-dependent net acid load and risk of incident hypertension in United States women. Hypertension 54:751–755. https://doi.org/10.1161/HYPERTENSIONAHA.109.135582
Murakami K, Sasaki S, Takahashi Y, Uenishi K (2008) Association between dietary acid–base load and cardiometabolic risk factors in young Japanese women. Br J Nutr 100:642–651. https://doi.org/10.1017/S0007114508901288
Luis D, Huang X, Riserus U, Sjögren P, Lindholm B, Arnlöv J et al (2014) Estimated dietary acid load is not associated with blood pressure or hypertension incidence in men who are approximately 70 years old. J Nutr 145:315–321. https://doi.org/10.3945/jn.114.197020
Engberink MF, Bakker SJ, Brink EJ, van Baak MA, van Rooij FJ, Hofman A et al (2012) Dietary acid load and risk of hypertension: the Rotterdam Study. Am J Clin Nutr 95:1438–1444. https://doi.org/10.3945/ajcn.111.022343
Kelishadi R, Motlagh ME, Bahreynian M, Gharavi MJ, Kabir K, Ardalan G et al (2015) Methodology and early findings of the assessment of determinants of weight disorders among Iranian children and adolescents: the childhood and adolescence surveillance and prevention of adult Noncommunicable Disease-IV study. Int J Prev Med 6:77. https://doi.org/10.4103/2008-7802.162953
Kelishadi R, Majdzadeh R, Motlagh M-E, Heshmat R, Aminaee T, Ardalan G et al (2012) Development and evaluation of a questionnaire for assessment of determinants of weight disorders among children and adolescents: the Caspian-IV study. Int J Prev Med 3:699–705
Caro DH, Cortés D (2012) Measuring family socioeconomic status: An illustration using data from PIRLS 2006. IERI Monogr Series Issues Methodol Large-Scale Assess 5:9–33
Kelishadi R, Marashinia F, Heshmat R et al (2013) First report on body image and weight control in a nationally representative sample of a pediatric population in the Middle East and North Africa: the CASPIAN-III study. Arch Med Sci 9:210–217
Khashayar P, Heshmat R, Qorbani M et al (2013) Metabolic syndrome and cardiovascular risk factors in a national sample of adolescent population in the middle east and north Africa: the CASPIAN III study. Int J Endocrinol 2013:702095. https://doi.org/10.1155/2013/702095
Peterson CM, Su H, Thomas DM, Heo M, Golnabi AH, Pietrobelli A et al (2017) TriPonderal mass index vs body mass index in estimating body fat during adolescence. JAMA Pediatr 171:629–636. https://doi.org/10.1001/jamapediatrics.2017.0460
Bar-On ME, Broughton DD, Buttross S, Corrigan S, Gedissman A, de Rivas MR et al (2001) Children, adolescents, and television. Pediatrics 107:423–426
Salmon J, Campbell KJ, Crawford DA (2006) Television viewing habits associated with obesity risk factors: a survey of Melbourne schoolchildren. Med J Aust 184:64–66
Esfahani FH, Asghari G, Mirmiran P, Azizi F (2010) Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran Lipid and Glucose Study. J Epidemiol 20:150–158. https://doi.org/10.2188/jea.je20090083
Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F (2010) Reliability and relative validity of an FFQ for nutrients in the Tehran Lipid and Glucose Study. Public Health Nutr 13:654–662. https://doi.org/10.1017/S1368980009991698
Azar M, Sarkisian E (1980) Food composition table of Iran: National Nutrition and Food Research Institute. Shaheed Beheshti University, Tehran
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B 57:289–300
Christopher Walton C, Lees B, Crook D, Worthington M, Godsland IF, Stevenson JC (1995) Body fat distribution, rather than overall adiposity, influences serum lipids and lipoproteins in healthy men independently of age. Am J Med 99:459–464. https://doi.org/10.1016/s0002-9343(99)80220-4
Ben-Noun L, Sohar E, Laor A (2001) Neck circumference as a simple screening measure for identifying overweight and obese patients. Obes Res 9:470–477. https://doi.org/10.1038/oby.2001.61
Hingorjo MR, Qureshi MA, Mehdi A (2012) Neck circumference as a useful marker of obesity: a comparison with body mass index and waist circumference. J Pak Med Assoc 62:36–40
Rocha NP, Milagres LC, Filgueiras MS, Suhett LG, Silva MA, Albuquerque FM et al (2019) Association of dietary patterns with excess weight and body adiposity in Brazilian children: the Pase-Brasil Study. Arq Bras Cardiol 113:52–59. https://doi.org/10.5935/abc.20190113
Mirzababaei A, Sajjadi SF, Ghodoosi N, Pooyan S, Arghavani H, Yekaninejad MS et al (2019) Relations of major dietary patterns and metabolically unhealthy overweight/obesity phenotypes among Iranian women. Diabetes Metab Syndr 13:322–331. https://doi.org/10.1016/j.dsx.2018.09.012
Dawson-Hughes B, Harris SS, Ceglia L (2008) Alkaline diets favor lean tissue mass in older adults. Am J Clin Nutr 87:662–665. https://doi.org/10.1093/ajcn/87.3.662
Akter S, Eguchi M, Kurotani K, Kochi T, Pham NM, Ito R et al (2015) High dietary acid load is associated with increased prevalence of hypertension: the Furukawa Nutrition and Health Study. Nutrition 31:298–303. https://doi.org/10.1016/j.nut.2014.07.007
Han E, Kim G, Hong N, Lee YH, Kim DW, Shin HJ et al (2016) Association between dietary acid load and the risk of cardiovascular disease: nationwide surveys (KNHANES 2008–2011). Cardiovasc Diabetol 15:122. https://doi.org/10.1186/s12933-016-0436-z
Xu H, Åkesson A, Orsini N, Håkansson N, Wolk A, Carrero JJ (2016) Modest U-shaped association between dietary acid load and risk of all-cause and cardiovascular mortality in adults. J Nutr 146:1580–1585. https://doi.org/10.3945/jn.116.231019
Haghighatdoost F, Najafabadi MM, Bellissimo N, Azadbakht L (2015) Association of dietary acid load with cardiovascular disease risk factors in patients with diabetic nephropathy. Nutrition 31:697–702. https://doi.org/10.1016/j.nut.2014.11.012
Vauthier JM, Lluch A, Lecomte E, Artur Y, Herbeth B (1996) Family resemblance in energy and macronutrient intakes: the Stanislas Family Study. Int J Epidemiol 25:130–1037. https://doi.org/10.1093/ije/25.5.1030
Lee HA, Park H (2015) Correlations between poor micronutrition in family members and potential risk factors for poor diet in children and adolescents using korean national health and nutrition examination survey data. Nutrients 7:6346–6361. https://doi.org/10.3390/nu7085286
Davison B, Saeedi P, Black K, Harrex H, Haszard J, Meredith-Jones K (2017) The association between parent diet quality and child dietary patterns in nine- to eleven-year-old children from dunedin. N Z Nut. https://doi.org/10.3390/nu9050483
Acknowledgements
This large observational study was performed with the cooperation of the Ministry of Health and Medical Education, Ministry of Education and Training, Child Growth and Development Research Center, Isfahan University of Medical Sciences, and Alborz University of Medical Sciences.
Funding
None.
Author information
Authors and Affiliations
Contributions
Conception and design of the study: MQ, RK and MEM. Data collection: AK, HA and AM-G. Analysis and interpretation of data: MQ, ZA, MB and NN. Drafting or revision of the manuscript: ZA, MB, NN, MQ, RK, NS, JR and MEM. Approval of the final version of the manuscript: all authors.
Corresponding author
Ethics declarations
Conflict of interest
Authors mention that there is no conflict of interest in this study.
Ethics approval
The study was approved by the ethical committee of Isfahan and Alborz University of Medical Sciences. Participants were thoroughly explained about aims and protocols of the study, and were assured that their responses would remain anonymous and confidential. Participation in the study was voluntary, and participants were aware of their right to withdraw from the study at any time.
Informed consent
Oral assent and written informed consent were obtained (prior to inclusion in the study) from students and one of their parents, respectively.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Aslani, Z., Bahreynian, M., Namazi, N. et al. Association of dietary acid load with anthropometric indices in children and adolescents. Eat Weight Disord 26, 555–567 (2021). https://doi.org/10.1007/s40519-020-00883-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40519-020-00883-x