Structured diet and exercise guidance in pregnancy to improve health in women and their offspring: study protocol for the Be Healthy in Pregnancy (BHIP) randomized controlled trial

Maude Perreault, Stephanie A Atkinson, Michelle F Mottola, Stuart M Phillips, Keyna Bracken, Eileen K Hutton, Feng Xie, David Meyre, Rita E Morassut, Harry Prapavessis, Lehana Thabane, BHIP Study team, Stephanie A Atkinson, Michelle F Mottola, Keyna Bracken, Eileen K Hutton, Lehana Thabane, Valerie Taylor, Olive Wahoush, Feng Xie, Stuart M Phillips, Jennifer Vickers-Manzin, David Meyre, Harry Prapavessis, Maude Perreault, Stephanie A Atkinson, Michelle F Mottola, Stuart M Phillips, Keyna Bracken, Eileen K Hutton, Feng Xie, David Meyre, Rita E Morassut, Harry Prapavessis, Lehana Thabane, BHIP Study team, Stephanie A Atkinson, Michelle F Mottola, Keyna Bracken, Eileen K Hutton, Lehana Thabane, Valerie Taylor, Olive Wahoush, Feng Xie, Stuart M Phillips, Jennifer Vickers-Manzin, David Meyre, Harry Prapavessis

Abstract

Background: Evidence from epidemiological and animal studies support the concept of programming fetal, neonatal, and adult health in response to in utero exposures such as maternal obesity and lifestyle variables. Excess gestational weight gain (GWG), maternal physical activity, and sub-optimal and excess nutrition during pregnancy may program the offspring's risk of obesity. Maternal intake of dairy foods rich in high-quality proteins, calcium, and vitamin D may influence later bone health status. Current clinical practice guidelines for managing GWG are not founded on randomized trials and lack specific "active intervention ingredients." The Be Healthy in Pregnancy (BHIP) study is a randomized controlled trial (RCT) designed to test the effectiveness of a novel structured and monitored Nutrition + Exercise intervention in pregnant women of all pre-pregnancy weight categories (except extreme obesity), delivered through prenatal care in community settings (rather than in hospital settings), on the likelihood of women achieving recommended GWG and a benefit to bone status of offspring and mother at birth and six months postpartum.

Methods: The BHIP study is a two-site RCT that will recruit up to 242 participants aged > 18 years at 12-17 weeks of gestation. After baseline measures, participants are randomized to either a structured and monitored Nutrition + Exercise (intervention) or usual care (control) program for the duration of their pregnancy. The primary outcome of the study is the percent of women who achieve GWG within the Institute of Medicine (IOM) guidelines. The secondary outcomes include: (1) maternal bone status via blood bone biomarkers during pregnancy; (2) infant bone status in cord blood; (3) mother and infant bone status measured by dual-energy absorptiometry scanning (DXA scan) at six months postpartum; (4) other measures including maternal blood pressure, blood glucose and lipid profiles, % body fat, and postpartum weight retention; and (5) infant weight z-scores and fat mass at six months of age.

Discussion: If effective, this RCT will generate high-quality evidence to refine the nutrition guidelines during pregnancy to improve the likelihood of women achieving recommended GWG. It will also demonstrate the importance of early nutrition on bone health in the offspring.

Trial registration: ClinicalTrials.gov, NCT01689961 Registered on 21 September 2012.

Keywords: Bone; Dairy foods; Developmental origins of health and disease; Exercise; Gestational weight gain; Infancy; Nutrition; Pregnancy; Proteins; Randomized controlled trial.

Conflict of interest statement

Ethics approval and consent to participate

After independent, full, external peer review the study protocol and subsequent amendments have been approved by the Hamilton Integrated Research Ethics Board (REB Project no. 12–469, McMaster University and its associated sites, Hamilton, ON), the Joseph Brant Hospital Research Ethics Committee (Project titled “Be Healthy in Pregnancy (B-HIP): An RCT to study nutrition and exercise approaches for healthy pregnancy,” Joseph Brant Hospital, Burlington, ON), and the Health Sciences Research Ethics Board (HSREB File no. 103272, Western University and its associated sites, London, ON). This study is being conducted in compliance with the protocol, Good Clinical Practice and the applicable regulatory requirements.

The Research Ethics boards have approved changes to the protocol since the inception of the clinical trial. All changes were communicated to relevant parties and modified on the trial registries. Of significance, the inclusion criteria was modified: increasing BMI from 30 to 40 kg/m2 to capture a representative sample of the community who presents an important percentage of obese women; participants have to be randomized to group allocation before 17 weeks 6 days (initially set at 11 weeks 6 days) to maximize participant enrolment while ensuring an intervention period of at least 20 weeks. Further, two groups originally excluded were added to the inclusion criteria: women whose pregnancy is a result of in vitro fertilization and women currently breastfeeding from a previous pregnancy. Exclusion criteria were also modified to redefine exclusion of participants with a prenatal depression score > 12 (rather than the initial score of 10) on the validated Edinburgh Depression scale as that is indicative of severe depression and should be referred for treatment.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Flow diagram
Fig. 2
Fig. 2
BHIP study protocol timeline

References

    1. Quinlivan JA, Lam LT, Fisher J. A randomised trial of a four-step multidisciplinary approach to the antenatal care of obese pregnant women. Aust New Zeal J Obstet Gynaecol. 2011;51:141–146. doi: 10.1111/j.1479-828X.2010.01268.x.
    1. Viswanathan M, Siega-Riz AM, Moos MK, Deierlein A, Mumford S, Knaack J, et al. Outcomes of maternal weight gain. Evid Rep Technol Assess (Full Rep). 2008;3(168):1–223.
    1. Vasudevan C, Renfrew M, McGuire W. Fetal and perinatal consequences of maternal obesity. Arch Dis Child Fetal Neonatal Ed. 2011;96:F378–F382. doi: 10.1136/adc.2009.170928.
    1. Thornton YS, Smarkola C, Kopacz SM, Ishoof SB. Perinatal outcomes in nutritionally monitored obese pregnant women: a randomized clinical trial. J Natl Med Assoc. 2009;101:569–577. doi: 10.1016/S0027-9684(15)30942-1.
    1. Nohr E, Vaeth M, Baker J, Sørensen T, Olsen J, Rasmussen K. Pregnancy outcomes related to gestational weight gain in women defined by their body mass index, parity, height, and smoking status. Am J Clin Nutr. 2009;90:1288–1294. doi: 10.3945/ajcn.2009.27919.
    1. Poston L, Harthoorn LF, Van Der Beek EM. Obesity in pregnancy: Implications for the mother and lifelong health of the child. A consensus statement. Pediatr Res. 2011;69:175–180. doi: 10.1203/PDR.0b013e3182055ede.
    1. McDonald SD, Han Z, Mulla S, Beyene J. Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses. BMJ. 2010;341:c3428. doi: 10.1136/bmj.c3428.
    1. Fraser A, Tilling K, MacDonald-Wallis C, Sattar N, Brion MJ, Benfield L, et al. Association of maternal weight gain in pregnancy with offspring obesity and metabolic and vascular traits in childhood. Circulation. 2010;121:2557–2564. doi: 10.1161/CIRCULATIONAHA.109.906081.
    1. Eriksson JG, Sandboge S, Salonen M, Kajantie E, Osmond C. Maternal weight in pregnancy and offspring body composition in late adulthood: Findings from the Helsinki Birth Cohort Study (HBCS) Ann Med. 2015;47:94–99. doi: 10.3109/07853890.2015.1004360.
    1. Gillman MW, Rifas-Shiman SL, Kleinman K, Oken E, Rich-Edwards JW, Taveras EM. Developmental origins of childhood overweight: potential public health impact. Obesity. 2008;16:1651–1656. doi: 10.1038/oby.2008.260.
    1. Morandi A, Meyre D, Lobbens S, Kleinman K, Kaakinen M, Rifas-Shiman SL, et al. Estimation of newborn risk for child or adolescent obesity: lessons from longitudinal birth cohorts. PLoS One. 2012;7:e49919. doi: 10.1371/journal.pone.0049919.
    1. Thomas AP, Dunn TN, Drayton JB, Oort PJ, Adams SH. A high calcium diet containing nonfat dry milk reduces weight gain and associated adipose tissue inflammation in diet-induced obese mice when compared to high calcium alone. Nutr Metab. 2012;9:3. doi: 10.1186/1743-7075-9-3.
    1. Zemel MB. Proposed role of calcium and dairy food components in weight management and metabolic health. Phys Sportsmed. 2009;37:29–39. doi: 10.3810/psm.2009.06.1707.
    1. Zemel MB, Donnelly JE, Smith BK, Sullivan DK, Richards J, Morgan-Hanusa D, et al. Effects of dairy intake on weight maintenance. Nutr Metab. 2008;5:1–13. doi: 10.1186/1743-7075-5-28.
    1. Teegarden D, White KM, Lyle RM, Zemel MB, Van Loan MD, Matkovic V, et al. Calcium and dairy product modulation of lipid utilization and energy expenditure. Obesity. 2008;16:1566–1572. doi: 10.1038/oby.2008.232.
    1. Robinson CJ, Alanis MC, Wagner CL, Hollis BW, Johnson DD. Plasma 25-hydroxyvitamin D levels in early-onset severe preeclampsia. Am J Obstet Gynecol. 2010;203:1–11. doi: 10.1016/j.ajog.2010.06.036.
    1. Health Canada. Prenatal Nutrition Guidelines for Health Professionals, Gestational Weight Gain. 2010. . Accessed 4 Dec 2018.
    1. Institute of Medicine. Re-examination of IOM Pregnancy Weight Guidelines 2009. 2011. . Accessed 4 Dec 2018.
    1. Phelan S. Pregnancy: A “teachable moment” for weight control and obesity prevention. Am J Obs Gynecol. 2010;202:135. doi: 10.1016/j.ajog.2009.06.008.
    1. Dodd JM, Grivell RM, Crowther CA, Robinson JS. Antenatal interventions for overweight or obese pregnant women: A systematic review of randomised trials. BJOG An Int J Obstet Gynaecol. 2010;117:1316–1326. doi: 10.1111/j.1471-0528.2010.02540.x.
    1. Gardner B, Wardle J, Poston L, Croker H. Changing diet and physical activity to reduce gestational weight gain: A meta-analysis. Obes Rev. 2011;12:12–14. doi: 10.1111/j.1467-789X.2011.00884.x.
    1. Holroyd C, Harvey N, Dennison E, Cooper C. Epigenetic influences in the developmental origins of osteoporosis. Osteoporos Int. 2012;23:401–410. doi: 10.1007/s00198-011-1671-5.
    1. Devlin MJ, Bouxsein ML. Influence of pre- and peri-natal nutrition on skeletal acquisition and maintenance. Bone. 2012;50:444–451. doi: 10.1016/j.bone.2011.06.019.
    1. Wood CL, Stenson C, Embleton N. The Developmental Origins of Osteoporosis. Curr Genomics. 2015;16:411–418. doi: 10.2174/1389202916666150817202217.
    1. Moon RJ, Harvey NC, Cooper C. Endocrinology in pregnancy; Influence of maternal vitamin D status on obstetric outcomes and the fetal skeleton. Eur J Endocrinol. 2015;173:R69–R83. doi: 10.1530/EJE-14-0826.
    1. Ganpule A, Yajnik CS, Fall CH, Rao S, Fisher DJ, Kanade A, et al. Bone mass in Indian children-relationships to maternal nutritional status and diet during pregnancy: the Pune Maternal Nutrition Study. J Clin Endocrinol Metab. 2006;91:2994–3001. doi: 10.1210/jc.2005-2431.
    1. Yin J, Dwyer T, Riley M, Cochrane J, Jones G. The association between maternal diet during pregnancy and bone mass of the children at age 16. Eur J Clin Nutr. 2010;64:131–137. doi: 10.1038/ejcn.2009.117.
    1. ZA C, Gale CR, Javaid MK, Robinson SM, Law C, Boucher BJ, et al. Maternal dietary patterns during pregnancy and childhood bone mass: a longitudinal study. J Bone Miner Res. 2009;24:663–668. doi: 10.1359/jbmr.081212.
    1. Harvey NC, Javaid MK, Arden NK, Poole JR, Crozier SR, Robinson SM, et al. Maternal predictors of neonatal bone size and geometry: the Southampton Women’s Survey. J Dev Orig Health Dis. 2010;1:35–41. doi: 10.1017/S2040174409990055.
    1. Bisson M, Tremblay F, St-Onge O, Robitaille J, Pronovost E, Simonyan D, et al. Influence of maternal physical activity on infant’s body composition. Pediatr Obes. 2017;12:38–46. doi: 10.1111/ijpo.12174.
    1. Wren TA, Kalkwarf HJ, Zemel BS, Lappe JM, Oberfield S, Shepherd JA, et al. Longitudinal tracking of dual-energy X-ray absorptiometry bone measures over 6 years in children and adolescents: persistence of low bone mass to maturity. J Pediatr. 2014;164:1280–1285. doi: 10.1016/j.jpeds.2013.12.040.
    1. Harvey N, Dennison E, Cooper C. Osteoporosis: a lifecourse approach. J Bone Min Res. 2014;29:1917–1925. doi: 10.1002/jbmr.2286.
    1. Liu Z, Qiu L, Chen YM, Su YX. Effect of milk and calcium supplementation on bone density and bone turnover in pregnant Chinese women: a randomized controlled trial. Arch Gynecol Obs. 2011;283:205–211. doi: 10.1007/s00404-009-1345-0.
    1. Chan A-W, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586. doi: 10.1136/bmj.e7586.
    1. Davies GA, Wolfe LA, Mottola MF, MacKinnon C. Society of Obstetricians and Gynecologists of Canada, SOGC Clinical Practice Obstetrics Committee. Joint SOGC/CSEP clinical practice guideline: exercise in pregnancy and the postpartum period. Can J Appl Physiol. 2003;28:330–341. doi: 10.1139/h03-024.
    1. Walji R, Wanoush O, Atkinson S. Feasibility and acceptance of a novel nutrition and exercise intervention to manage excess gestational weight gain: focus group study in Ontario, Canada. Prim Heal Care. 2013;3:1–7.
    1. Ng M. Maternal vitamin D status during pregnancy as a predictor of offspring bone mass at three years of age (MSc Thesis). Hamilton: McMaster University; 2011.
    1. Josse AR, Atkinson SA, Tarnopolsky MA, Phillips SM. Increased consumption of dairy foods and protein during diet- and exercise-induced weight loss promotes fat mass loss and lean mass gain in overweight and obese premenopausal women. J Nutr. 2011;141:1626–1634. doi: 10.3945/jn.111.141028.
    1. Mottola MF, Giroux I, Gratton R, Hammond JA, Hanley A, Harris S, et al. Nutrition and exercise prevent excess weight gain in overweight pregnant women. Med Sci Sport Exerc. 2010;42:265–272. doi: 10.1249/MSS.0b013e3181b5419a.
    1. Mottola MF. Exercise prescription for overweight and obese women: pregnancy and postpartum. Obstet Gynecol Clin N Am. 2009;36:301–316. doi: 10.1016/j.ogc.2009.03.005.
    1. Pereira MA, Rifas-Shiman SL, Kleinman KP, Rich-Edwards JW, Peterson KE, Gillman MW. Predictors of change in physical activity during and after pregnancy: Project Viva. Am J Prev Med. 2007;32:312–319. doi: 10.1016/j.amepre.2006.12.017.
    1. Streuling I, Beyerlein A, Rosenfeld E, Hofmann H, Schulz T, von Kries R. Physical activity and gestational weight gain: a meta-analysis of intervention trials. BJOG. 2011;118:278–284. doi: 10.1111/j.1471-0528.2010.02801.x.
    1. Institute of Medicine . Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty acids, Cholesterol, Protein, and Amino Acids (Macronutrients) Washington, DC: National Academies Press; 2002.
    1. Health Canada. Pregnancy weight gain calculator. 2011. . Accessed 4 Dec 2018.
    1. Network of Networks Canada. . Accessed 4 Dec 2018.
    1. Health Canada. Eating Well with Canada’s Food Guide. 2007. . Accessed 4 Dec 2018.
    1. Hymøller L, Jensen SK. Vitamin D analysis in plasma by high performance liquid chromatography (HPLC) with C30 reversed phase column and UV detection - Easy and acetonitrile-free. J Chromatogr A. 2011;1218:1835–1841. doi: 10.1016/j.chroma.2011.02.004.
    1. Phinney KW, Bedner M, Tai SS, Vamathevan VV, Sander LC, Sharpless KE, et al. Development and certification of a standard reference material for vitamin D metabolites in human serum. Anal Chem. 2012;84:956–962. doi: 10.1021/ac202047n.
    1. Winkler TW, Day FR, Croteau-Chonka DC, Wood AR, Locke AE, Mägi R, et al. Quality control and conduct of genome-wide association meta-analyses. Nat Protoc. 2014;9:1192–1212. doi: 10.1038/nprot.2014.071.
    1. Rodrigopulle DJ, Atkinson SA. Validation of surrogate limb analysis for body composition in children by dual energy X-ray absorptiometry (DXA) Eur J Clin Nutr. 2014;68:653–657. doi: 10.1038/ejcn.2014.44.
    1. Morrison KM, Atkinson SA, Yusuf S, Bourgeois J, McDonald S, McQueen MJ, et al. The Family Atherosclerosis Monitoring In earLY life (FAMILY) study. Rationale, design, and baseline data of a study examining the early determinants of atherosclerosis. Am Heart J. 2009;158:533–539. doi: 10.1016/j.ahj.2009.07.005.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381. doi: 10.1016/j.jbi.2008.08.010.
    1. Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: Defining standard protocol items for clinical trials. Ann Intern Med. 2013;158:200–207. doi: 10.7326/0003-4819-158-3-201302050-00583.
    1. De Souza RJ, Eisen RB, Perera S, Bantoto B, Bawor M, Dennis BB. Best (but oft-forgotten ) practices : sensitivity analyses in randomized controlled trials. Am Soc Nutr. 2016;103:5–17.
    1. Carneiro RM, Prebehalla L, Tedesco MB, Sereika SM, Hugo M, Hollis BW, et al. Lactation and bone turnover: A conundrum of marked bone loss in the setting of coupled bone turnover. J Clin Endocrinol Metab. 2010;95:1767–1776. doi: 10.1210/jc.2009-1518.
    1. Haliloglu B, Ilter E, Aksungar FB, Celik A, Coksuer H, Gunduz T, et al. Bone turnover and maternal 25(OH) vitamin D3 levels during pregnancy and the postpartum period: Should routine vitamin D supplementation be increased in pregnant women? Eur J Obstet Gynecol Reprod Biol. 2011;158:24–27. doi: 10.1016/j.ejogrb.2011.04.002.
    1. van de Lagemaat M, Rotteveel J, Schaafsma A, van Weissenbruch MM, Lafeber HN. Higher vitamin D intake in preterm infants fed an isocaloric, protein- and mineral-enriched postdischarge formula is associated with increased bone accretion. J Nutr. 2013;143:1439–1444. doi: 10.3945/jn.113.178111.
    1. Young BE, McNanley TJ, Cooper EM, McIntyre AW, Witter F, Harris ZL, et al. Maternal vitamin D status and calcium intake interact to affect fetal skeletal growth in utero in pregnant adolescents. Am J Clin Nutr. 2012;95:1103–1112. doi: 10.3945/ajcn.111.023861.
    1. Oken E, Rifas-Shiman SL, Field AE, Lindsay A, Gillman MW. Maternal gestational weight gain and offspring weight in adolescence. Obstet Gynecol. 2008;112:999–1006. doi: 10.1097/AOG.0b013e31818a5d50.
    1. Boney CM. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics. 2005;115:e290–6 . Accessed 4 Dec 2018.
    1. Atkinson SA, Chau K, Ng M. Predictors of post-partum weight retention and adiposity at 3 years in women in Southern Ontario, Canada. Portland: 7th World Congr Dev Orig Heal Dis; 2011.
    1. Lowell H, Miller DC. Weight gain during pregnancy: adherence to Health Canada’s guidelines. Health Rep. 2010;21:31–36.
    1. Dzakpasu S, Fahey J, Kirby RS, Tough SC, Chalmers B, Heaman MI, et al. Contribution of prepregnancy body mass index and gestational weight gain to adverse neonatal outcomes: Population attributable fractions for Canada. BMC Pregnancy Childbirth. 2015;15:1–12. doi: 10.1186/s12884-015-0452-0.
    1. Subhan FB, Colman I, McCargar L, Bell RC. Higher pre-pregnancy BMI and excessive gestational weight gain are risk factors for rapid weight gain in infants. Matern Child Health J. 2017;21:1396–1407. doi: 10.1007/s10995-016-2246-z.
    1. Li A, Teo KK, Morrison KM, McDonald SD, Atkinson SA, Anand SS, et al. A genetic link between prepregnancy body mass index, postpartum weight retention, and offspring weight in early childhood. Obesity. 2017;25:236–243. doi: 10.1002/oby.21707.
    1. Vasikaran S, Eastell R, Bruyere O, Foldes AJ, Garnero P, Griesmacher A, et al. Markers of bone turnover for the prediction of fracture risk and monitoring of osteoporosis treatment: a need for international reference standards. Osteoporos Int. 2011;22:391–420. doi: 10.1007/s00198-010-1501-1.
    1. Moller UK, Streym S, Mosekilde L, Heickendorff L, Flyvbjerg A, Frystyk J, et al. Changes in calcitropic hormones, bone markers and insulin-like growth factor I (IGF-I) during pregnancy and postpartum: a controlled cohort study. Osteoporos Int. 2013;24:1307–1320. doi: 10.1007/s00198-012-2062-2.
    1. Hellmeyer L, Ziller V, Anderer G, Ossendorf A, Schmidt S, Hadji P. Biochemical markers of bone turnover during pregnancy: a longitudinal study. Exp Clin Endocrinol Diabetes. 2006;114:506–510. doi: 10.1055/s-2006-951627.
    1. Black AJ, Topping J, Durham B, Farquharson RG, Fraser WD. A detailed assessment of alterations in bone turnover, calcium homeostasis, and bone density in normal pregnancy. J Bone Min Res. 2000;15:557–563. doi: 10.1359/jbmr.2000.15.3.557.
    1. Szulc P, Naylor K, Hoyle NR, Eastell R, Leary ET. Use of CTX-I and PINP as bone turnover markers: National Bone Health Alliance recommendations to standardize sample handling and patient preparation to reduce pre-analytical variability. Osteoporos Int. 2017;28:2541–2556. doi: 10.1007/s00198-017-4082-4.
    1. Liu NQ, Hewison M. Vitamin D, the placenta and pregnancy. Arch Biochem Biophys. 2012;523:37–47. doi: 10.1016/j.abb.2011.11.018.
    1. Brooks SPJ, Greene-Finestone L, Whiting S, Fioletov VE, Laffey P, Petronella N. An analysis of factors associated with 25-hydroxyvitamin D levels in white and non-white Canadians. J AOAC Int. 2017;100:1345–1354. doi: 10.5740/jaoacint.17-0250.
    1. Wagner CL, Taylor SN, Johnson DD, Hollis BW. The role of vitamin D in pregnancy and lactation: emerging concepts. Women’s Health. 2012;8:323–340.
    1. Health Canada. Prenatal nutrition guidelines for health professionals, Background on Canada’s Food Guide. 2009. . Accessed 4 Dec 2018.
    1. Public Health Agency of Canada. Physical Activity and Pregnancy. 2012. . Accessed 4 Dec 2018.
    1. Hardin JW. Generalized Estimating Equations. New York: Chapman and Hall/CRC; 2001.
    1. Diggle PJ, Liang K-Y, Zeger S. Analysis of longitudinal data. Oxford: Oxford Science Publications; 1994.

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