Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-13T02:56:09.322Z Has data issue: false hasContentIssue false
  • English
  • Français

Birth weight associated with dual energy X-ray absorptiometry-determined muscle–bone unit in young healthy women from the Nutritionists’ Health Study

Published online by Cambridge University Press:  06 January 2020

Angélica Marques Martins Valente Open the ORCID record for Angélica Marques Martins Valente [Opens in a new window] ,
Bianca de Almeida-Pititto ,
Alexandre Archanjo Ferraro ,
Luciana G. Dias Folchetti ,
Isis Tande Silva  and
Sandra Roberta G. Ferreira
Angélica Marques Martins Valente
Affiliation:
Department of Epidemiology, School of Public Health – University of São Paulo, São Paulo, SP, Brazil
Bianca de Almeida-Pititto
Affiliation:
Department of Preventive Medicine, Federal University of São Paulo, São Paulo, SP, Brazil
Alexandre Archanjo Ferraro
Affiliation:
Department of Pediatrics, Medical School – University of São Paulo, São Paulo, SP, Brazil
Luciana G. Dias Folchetti
Affiliation:
Department of Epidemiology, School of Public Health – University of São Paulo, São Paulo, SP, Brazil
Isis Tande Silva
Affiliation:
Department of Epidemiology, School of Public Health – University of São Paulo, São Paulo, SP, Brazil
Sandra Roberta G. Ferreira*
Affiliation:
Department of Epidemiology, School of Public Health – University of São Paulo, São Paulo, SP, Brazil
*
Address for correspondence: Sandra Roberta G. Ferreira, Faculdade de Saúde Pública, Department of Epidemiology, Universidade de São Paulo, Av. Dr. Arnaldo 715, São Paulo, SP, Brazil. Email: sandrafv@usp.br
Get access Rights & Permissions [Opens in a new window]

Abstract

Muscle and bone have been considered a functional unit that grows together early in life, deteriorates with aging, and can cause osteosarcopenia. Due to its importance in public health, detecting risk factors in early life is desirable. This study examined whether birth weight (BW) was associated with muscle–bone unit using dual energy X-ray absorptiometry (DXA) parameters in young women from the Nutritionists’ Health Study (NutriHS), a cohort study of undergraduates and Nutrition graduates. This cross-sectional analysis included 170 young healthy women who answered early life events-questionnaire, and had anthropometric, muscle tests and DXA-determined body composition and bone densitometry (iDXA-Lunar®). A blood sample was obtained for a subsample of 148 participants. Appendicular skeletal muscle mass index (ASMI) was calculated. BW was categorized in quartiles (BWq) and variables of interest compared by ANOVA. Associations of BWq with calf circumference (CC), handgrip, muscle performance tests, ASMI, bone mineral density and content (BMD and BMC), and plasma glucose, lipids, insulin, and 25-hydroxyvitamin D were performed using multiple linear regression and directed acyclic graph-recommended adjustments. Mean values of age, body mass index, and BW were 23.0 years (20.0–28.0), 22.9 ± 2.9 kg/m2, and 3199 ± 424 g, respectively. Comparing variables across BWq, significant differences in CC, handgrip, ASMI, and total body BMC were detected. Regression models adjusted for confounders showed associations of BWq with CC (β = 0.72, p = 0.005), handgrip (β = 1.53, p = 0.001), ASMI (β = 0.16, p = 0.022), total body BMC (β = 64.8, p = 0.005), total femur BMC (β = 0.70, p = 0.041), total body BMD (β = 0.02, p = 0.043), and lumbar spine BMD (β = 0.03, p = 0.028). We conclude that BW is associated with muscle–bone unit using DXA-parameters in Brazilian young healthy women from the NutriHS, suggesting a role for intrauterine environment for musculoskeletal health.

Keywords

muscle–bone unitDXAosteosarcopeniabirth weightDOHaD
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 12 , Issue 1 , February 2021 , pp. 42 - 49
Check for updates
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Maurel, DB, Jähn, K, Lara-Castillo, N. Muscle–bone crosstalk: emerging opportunities for novel therapeutic approaches to treat musculoskeletal pathologies. Biomedicines. 2017; 5(4), 62. doi: 10.3390/biomedicines5040062.CrossRefGoogle ScholarPubMed
Sayer, AA, Robinson, SM, Patel, HP, Shavlakadze, T, Cooper, C, Grounds, MD. New horizons in the pathogenesis, diagnosis and management of sarcopenia. Age Ageing. 2013; 42, 145–150. doi: 10.1093/ageing/afs191.Google ScholarPubMed
Hirschfeld, HP, Kinsella, R, Duque, G. Osteosarcopenia: where bone, muscle, and fat collide. Osteoporos Int. 2017; 28(10), 2781–2790. doi: 10.1007/s00198-017-4151-8.CrossRefGoogle ScholarPubMed
Nielsen, B, Abdulla, J, Andersen, H, Schwarz, P, Suetta, C. Sarcopenia and osteoporosis in older people: a systematic review and meta-analysis. Eur Geriatr Med. 2018; 9(4), 419–434.CrossRefGoogle Scholar
Curtis, E, Litwic, A, Cooper, C, Dennison, E. Determinants of muscle and bone aging. J Cell Physiol. 2015; 230, 2618–2625.CrossRefGoogle ScholarPubMed
Barker, DJ, Winter, PD, Osmond, C, Margetts, B, Simmonds, SJ. Weight in infancy and death from ischaemic heart disease. Lancet. 1989; 2, 577–580.Google ScholarPubMed
Barker, DJ, Eriksson, JG, Forsen, T, Osmond, C. Fetal origins of adult disease: strength of effects and biological basis. Int J Epidemiol. 2002; 31, 1235–1239.CrossRefGoogle ScholarPubMed
Gluckmann, PD, Hanson, MA. Developmental origins of disease paradigm: a mechanistic and evolutionary perspective. Pediatr Res. 2004; 56, 311–317.CrossRefGoogle Scholar
Dodds, R, Denison, HJ, Ntani, G, et al. Birth weight and muscle strength: a systematic review and meta-analysis. J Nutr Health Aging. 2012; 16(7), 609–615.CrossRefGoogle ScholarPubMed
Horta, BL, Gigante, DP, Osmond, C, Barros, FC, Victora, CG. Intergenerational effect of weight gain in childhood on offspring birth weight. Int J Epidemiol. 2009; 38, 724–732.CrossRefGoogle Scholar
Sayer, AA, Syddall, HE, Gilbody, HJ, Dennison, ME, Cooper, C. Does sarcopenia originate in early life? Findings from the Hertfordshire Cohort Study. J Gerontol. 2004; 59(9), M930–M934. doi: 10.1093/gerona/59.9.M930.Google ScholarPubMed
Bielemann, RM, Gigante, DP, Horta, BL. Birth weight, intrauterine growth restriction and nutritional status in childhood in relation to grip strength in adults: from the 1982 Pelotas (Brazil) birth cohort. Nutrition. 2016; 32(2), 228–235. doi: 10.1016/j.nut.2015.08.014.CrossRefGoogle ScholarPubMed
Gonçalves, H, Assunção, MCF, Wehrmeister, FC, et al. Cohort profile update: the 1993 Pelotas (Brazil) birth cohort follow-up visits in adolescence. Intern J Epidemiol. 2014; 43(4), 1082–1088.Google ScholarPubMed
Callréus, M, McGuigan, F, Åkesson, K. Birth weight is more important for peak bone mineral content than for bone density: the PEAK-25 study of 1,061 young adult women. Osteoporos Int. 2013; 24(4), 1347–1355.CrossRefGoogle ScholarPubMed
Cawthon, PM. Assessment of lean mass and physical performance in sarcopenia. J Clin Densitom. 2015; 18(4), 467–471.CrossRefGoogle ScholarPubMed
Folchetti, LD, Ferreira, SRG. Nutritionists’ Health Study cohort: a web-based approach of life events, habits and health outcomes. BMJ Open. 2016; 6, e012081.CrossRefGoogle ScholarPubMed
Eshriqui, I, Folchetti, LD, Valente, AMM, de Almeida-Pititto, B, Ferreira, SRG. Breastfeeding duration is associated with offspring’s adherence to prudent dietary pattern in adulthood: results from the Nutritionist’s Health Study. J Dev Orig Health Dis. 2019; 6, 1–10. doi: 10.1017/S204017441900031X. [Epub ahead of print]Google Scholar
Fess, EE. Grip strength. In Clinical 22. Assessment Recommendations, 2nd edn (ed. Casanova, JS), 1992; 41–45. Chicago: American Society of Hand Therapists.Google Scholar
Bohannon, RW. Reference values for the five-repetition sit-to-stand test: a descriptive meta-analysis of data from elders. Percept Mot Skills. 2006; 103(1), 215–212.CrossRefGoogle ScholarPubMed
Cruz-Jentoft, AJ, Baeyens, JP, Bauer, JM, et al. Sarcopenia: European consensus on definition and diagnosis report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010; 39, 412–423.CrossRefGoogle ScholarPubMed
Textor, J, Hardt, J, Knüppel, S. DAGitty: a graphical tool for analyzing causal diagrams. Epidemiology. 2011; 22(5), 745.Google ScholarPubMed
Krieger, N and Smith, GD. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology. Int J Epidemiol. 2016; 45(6), 1787–1808. doi: 10.1093/ije/dyw114.Google ScholarPubMed
Inskip, HM, Godfrey, KM, Martin, HJ, Simmonds, SJ, Cooper, C, Sayer, AA. Size at birth and its relation to muscle strength in young adult women. J Intern Med. 2007; 262(3), 368–374.CrossRefGoogle ScholarPubMed
Alexandre, TS, Scholes, S, Santos, JLF, Oliveira, C. Dynapenic abdominal obesity as a risk factor for worse trajectories of ADL disability among older adults: the ELSA Cohort Study. J Gerontol A Biol Sci Med Sci. 2019; 74(7), 1112–1118. doi: 10.1093/gerona/gly182.CrossRefGoogle ScholarPubMed
Baumgartner, RN, Koehler, KM, Gallagher, D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998; 147, 755–763.CrossRefGoogle ScholarPubMed
Alemán-Mateo, H, Valenzuela, RER. Skeletal muscle mass indices in health Young Mexican adults aged 20–40 years: implications for diagnoses of sarcopenia in the elderly population. Sci World J. 2014; 2014, 1–5. doi: 10.1155/2014/672158.Google Scholar
Sousa, MGB, Pinheiro, MM, Szejnfeld, VL, Castro, CHM. Body composition parameters in health Brazilian women differ from White, Black, and Hispanic American women reference range. J Clin Densitom. 2013; 16(3), 360–367.CrossRefGoogle Scholar
Cruz-Jentoft, AJ, Bahat, G, Bauer, J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2018; 0, 1–16. doi: 10.1093/ageing/afy169.Google Scholar
Barbosa-Silva, TG, Menezes, AMB, Bielemann, RM, Malmstrom, TK, Gonzalez, MC. Enhancing SARC-F: improving sarcopenia screening in the clinical practice. JAMDA. 2016; 17(12), 1136–1141.Google ScholarPubMed
Ukegbu, PO, Kruger, HS, Meyer, JD, et al. The association between calf circumference and appendicular skeletal muscle mass index of black urban women in Tlokwe City. J Endocrinol Metab Diabetes South Africa. 2018; 23(3), 86–91.CrossRefGoogle Scholar
Davies, AA, Smith, GD, Ben-Shlomo, Y, Litchfield, P. Low birth weight is associated with higher adult total cholesterol concentration in men: findings from an occupational cohort of 25,843 employees. Circulation. 2004; 110, 1258–1262.CrossRefGoogle ScholarPubMed
Thompson, C, Syddall, H, Rodin, I, Osmond, C, Barker, DJ. Birth weight and the risk of depressive disorder in late life. Br J Psychiatry. 2001; 179, 450–455.CrossRefGoogle ScholarPubMed
Bianchi, ML. Osteoporosis in children and adolescents. Bone. 2007; 41(3), 486–495. doi: 10.1016/j.bone.2007.07.008.CrossRefGoogle ScholarPubMed
Schlüssel, MM, de Castro, JA, Kac, G, et al. Birth weight and bone mass in young adults from Brazil. Bone. 2010; 46(4), 957–963. doi: 10.1016/j.bone.2010.01.365.CrossRefGoogle ScholarPubMed
Martínez-Mesa, J, Restrepo-Méndez, MC, González, DA, et al. Life-course evidence of birth weight effects on bone mass: systematic review and meta-analysis. Osteoporos Int. 2013; 24(1), 19–21.CrossRefGoogle Scholar
Leunissen, RWJ, Stijnen, T, Boot, AM, Hokken-Koelega, ACS. Influence of birth size and body composition in early adulthood: the programming factors for growth and metabolism (PROGRAM)-study. Clin Endocrinol. 2009; 70, 245–251.Google ScholarPubMed
Mikkola, TM, von Bonsdorff, MB, Osmond, C, et al. Childhood growth predicts higher bone mass and greater bone area in early old age: findings among a subgroup of women from the Helsinki Birth Cohort Study. Osteoporos Int. 2017; 28(9), 2717–2722. doi: 10.1007/s00198-017-4048-6.CrossRefGoogle ScholarPubMed
Evensen, E, Skeie, G, Wilsgaard, T, et al. How is adolescent bone mass and density influenced by early life body size and growth? The Tromsø Study: fit futures – a longitudinal cohort study from Norway. JBMR Plus. 2018; 2(5), 268–280. doi: 10.1002/jbm4.10049.Google Scholar
Chin, HB, Baird, DD, McConnaughey, DR, Weinberg, CR, Wilcox, AJ, Jukic, AM. Long-term recall of pregnancy-related events. Epidemiology. 2017; 28(4), 575–579.CrossRefGoogle ScholarPubMed
Shenkin, SD, Zhang, MG, Der, G, Mathur, S, Mina, TH, Reynolds, RM. Validity of recalled v. recorded birth weight: a systematic review and meta-analysis. J DOHaD. 2017; 8(2), 137–148.Google ScholarPubMed