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Does physical activity attenuate the association between birth weight and glycated hemoglobin in nondiabetic Japanese women?

Published online by Cambridge University Press:  18 November 2019

Tomoko Aoyama Open the ORCID record for Tomoko Aoyama [Opens in a new window] ,
Nobuyuki Miyatake ,
Akiho Seki ,
Kouji Hossaka ,
Hidemi Takimoto  and
Shigeho Tanaka
Tomoko Aoyama*
Affiliation:
Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku-ku, Tokyo, Japan Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, Japan
Nobuyuki Miyatake
Affiliation:
Department of Hygiene, Faculty of Medicine, Kagawa University, Kita-gun, Kagawa, Japan
Akiho Seki
Affiliation:
Okayama Southern Institute of Health, Okayama Health Foundation, Okayama-shi, Okayama, Japan
Kouji Hossaka
Affiliation:
Okayama Southern Institute of Health, Okayama Health Foundation, Okayama-shi, Okayama, Japan
Hidemi Takimoto
Affiliation:
Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku-ku, Tokyo, Japan
Shigeho Tanaka
Affiliation:
Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Shinjuku-ku, Tokyo, Japan
*
Address for correspondence: Tomoko Aoyama, Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, Japan. Email: [email protected]
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Abstract

Lower birth weight is associated with a risk of type 2 diabetes in adulthood. However, it is not clear whether this association is modified by physical activity. This study aimed to examine the association between birth weight and glycemic status and whether this association is mediated by moderate- and vigorous-intensity activity (MVPA) in Japanese women. The participants were 103 nondiabetic women (47.4 ± 10.8 years), who underwent health checkups in which data of glycated hemoglobin (HbA1c) were collected. Abdominal circumference (AC) was measured at the umbilical region. Birth weight was obtained from the Maternal and Child Health Handbook records or reported based on the participant’s or his/her mother’s recall. Time (min/day) spent in MVPA (≥3.0 metabolic equivalents) was objectively measured using a triaxial accelerometer (Actimarker EW4800). Birth weight was inversely correlated with HbA1c (r = −0.32, P < 0.01). Multiple linear regression analyses revealed that lower birth weight was associated with increased HbA1c (β = −0.22, P < 0.05) even after adjusting for age, state of menstruation, AC, and family history of diabetes. This association was little changed when MVPA was introduced as an independent variable in the model (β = −0.23, P < 0.05). These results suggest that lower birth weight may be associated with higher HbA1c levels before the onset of type 2 diabetes, irrespective of adulthood physical activity. Early-life development should be taken into account when considering the risk of diabetes in Japanese women, even if they are physically active.

Keywords

Birth weightglycated hemoglobinphysical activitywomenaccelerometer
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 11 , Issue 4 , August 2020 , pp. 379 - 383
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2019

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Footnotes

†

Current address: Long-Term Care Health Facility “Fukuju-sou”, Kurashiki-shi, Okayama, Japan

References

Hex, N, Bartlett, C, Wright, D, Taylor, M, Varley, D.Estimating the current and future costs of Type 1 and Type 2 diabetes in the UK, including direct health costs and indirect societal and productivity costs. Diabet Med. 2012; 29, 855–862.CrossRefGoogle ScholarPubMed
Png, ME, Yoong, J, Phan, TP, Wee, HL.Current and future economic burden of diabetes among working-age adults in Asia: conservative estimates for Singapore from 2010-2050. BMC Public Health. 2016; 16, 153.CrossRefGoogle ScholarPubMed
World Health Organization. Global Report On Diabetes. 2014. Geneva: WHO Press.Google Scholar
Anazawa, S, Atsumi, Y, Matsuoka, K.Low birth weight and development of type 2 diabetes in a Japanese population. Diabetes Care. 2003; 26, 2210–2211.CrossRefGoogle Scholar
Whincup, PH, Kaye, SJ, Owen, CG, et al. Birth weight and risk of type 2 diabetes: a systematic review. JAMA. 2008; 300, 2886–2897.Google ScholarPubMed
Oya, J, Nakagami, T, Kurita, M, et al. Association of birthweight with diabetes and insulin sensitivity or secretion in the Japanese general population. J Diabetes Investig. 2015; 6, 430–435.CrossRefGoogle ScholarPubMed
Katanoda, K, Noda, M, Goto, A, et al. Impact of birth weight on adult-onset diabetes mellitus in relation to current body mass index: The Japan Nurses’ Health Study. J Epidemiol. 2017; 27, 428–434.CrossRefGoogle ScholarPubMed
World Health Organization. Global Recommendations on Physical Activity for Health, 2010. Geneva: WHO Press.Google Scholar
Smith, AD, Crippa, A, Woodcock, J, Brage, S.Physical activity and incident type 2 diabetes mellitus: a systematic review and dose-response meta-analysis of prospective cohort studies. Diabetologia. 2016; 59, 2527–2545.CrossRefGoogle ScholarPubMed
Jeon, CY, Lokken, RP, Hu, FB, van Dam, RM.Physical activity of moderate intensity and risk of type 2 diabetes: a systematic review. Diabetes Care. 2007; 30, 744–752.CrossRefGoogle ScholarPubMed
Laaksonen, DE, Lakka, H-M, Lynch, J, et al. Cardiorespiratory fitness and vigorous leisure-time physical activity modify the association of small size at birth with the metabolic syndrome. Diabetes Care. 2003; 26, 2156–2164.CrossRefGoogle ScholarPubMed
Eriksson, JG, Ylihärsilä, H, Forsén, T, Osmond, C, Barker, DJP.Exercise protects against glucose intolerance in individuals with a small body size at birth. Prev Med. 2004; 39, 164–167.CrossRefGoogle ScholarPubMed
Lyons, TJ, Basu, A.Biomarkers in diabetes: hemoglobin A1c, vascular and tissue markers. Transl Res. 2012; 159, 303–312.CrossRefGoogle ScholarPubMed
Bakrania, K, Yates, T, Edwardson, CL, et al. Associations of moderate-to-vigorous-intensity physical activity and body mass index with glycated haemoglobin within the general population: a cross-sectional analysis of the 2008 Health Survey for England. BMJ Open. 2017; 7, e014456.CrossRefGoogle ScholarPubMed
Hikihara, Y, Tanaka, S, Ohkawara, K, Ishikawa-Takata, K, Tabata, I.Validation and comparison of 3 accelerometers for measuring physical activity intensity during nonlocomotive activities and locomotive movements. J Phys Act Health. 2012; 9, 935–943.CrossRefGoogle ScholarPubMed
Yamada, Y, Yokoyama, K, Noriyasu, R, et al. Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers. Eur J Appl Physiol. 2009; 105, 141–152.CrossRefGoogle ScholarPubMed
Murakami, H, Kawakami, R, Nakae, S, et al. Accuracy of wearable devices for estimating total energy expenditure: comparison with metabolic chamber and doubly labeled water method. JAMA Intern Med. 2016; 176, 702–703.CrossRefGoogle ScholarPubMed
Murakami, H, Iemitsu, M, Sanada, K, et al. Associations among objectively measured physical activity, fasting plasma homocysteine concentration, and MTHFR C677T genotype. Eur J Appl Physiol. 2011; 111, 2997–3005.CrossRefGoogle ScholarPubMed
Trost, SG, McIver, KL, Pate, RR.Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005; 37, S531–S543.CrossRefGoogle ScholarPubMed
American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010; 1 (Suppl. 33) S62–S69.CrossRefGoogle Scholar
Selvin, E, Steffes, MW, Zhu, H, et al. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med. 2010; 362, 800–811.CrossRefGoogle ScholarPubMed
Hales, CN, Barker, DJ.The thrifty phenotype hypothesis. Br Med Bull. 2001; 60, 5–20.CrossRefGoogle ScholarPubMed
Chan, JCN, Malik, V, Jia, W, et al. Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA. 2009; 301, 2129–2140.CrossRefGoogle ScholarPubMed
Mikolajczyk, RT, Zhang, J, Betran, AP, et al. A global reference for fetal-weight and birthweight percentiles. Lancet. 2011; 377, 1855–1861.CrossRefGoogle ScholarPubMed
Ridgway, CL, Brage, S, Anderssen, SA, et al. Do physical activity and aerobic fitness moderate the association between birth weight and metabolic risk in youth?: the European Youth Heart Study. Diabetes Care. 2011; 34, 187–192.CrossRefGoogle ScholarPubMed
Ortega, FB, Ruiz, JR, Hurtig-Wennlöf, A, et al. Physical activity attenuates the effect of low birth weight on insulin resistance in adolescents: findings from two observational studies. Diabetes. 2011; 60, 2295–2299.CrossRefGoogle ScholarPubMed
Takimoto, H, Yoshiike, N, Kaneda, F, Yoshita, K.Thinness among young Japanese women. Am J Public Health. 2004; 94, 1592–1595.CrossRefGoogle ScholarPubMed
Shenkin, SD, Zhang, MG, Der, G, et al. Validity of recalled v. recorded birth weight: a systematic review and meta-analysis. J Dev Orig Health Dis. 2017; 8, 137–148.CrossRefGoogle ScholarPubMed