Phase angle and bone geometry in older women with different body composition abnormalities

• Grant number: 23/10915-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2023
• End date: November 30, 2024
• Field of knowledge: Health Sciences - Physical Education
• Principal Investigator: Vanessa Ribeiro dos Santos
• Grantee: Wilson Aparecido Tonelli Neto
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

The reductions in muscle mass and bone mineral density (BMD), and the increase in body fat that occur during aging, increase the risk of developing different diseases, such as sarcopenia, osteoporosis, obesity, osteosarcopenia, sarcopenic obesity, osteopenic obesity and osteosarcopenic obesity. Some of the differences in bone parameters may be related to the distribution of body components, especially muscle mass. Bone quality assessment and fracture risk estimation can be performed by analyzing bone geometry, which determines the amount of bone tissue and its spatial distribution. The phase angle (PhA), which has been used as a parameter to assess cell integrity in different clinical scenarios and is associated with several health outcomes, can also be relevant in the investigation of bone geometry. Thus, the objective this study will be to analyze the association between the phase angle and the bone geometry of the hip in older women with different body composition abnormalities. The sample will consist of 184 women aged 60 years or older participating in the BIA Brasil project: a national multicenter collaborative study in the city of Presidente Prudente, SP. The investigated variables will be: (i) phase angle (PhA) (bioelectrical impedance); (ii) body composition (dual-energy X-ray absorptiometry and bioelectrical impedance); iii) bone geometry (dual-energy X-ray absorptiometry); iv) control variables: age at menopause, use of hormone replacement, history of falls and fractures, chronic noncommunicable diseases (NCDs), use of medication, age, ethnicity, education, income, smoking and exercise (self-reported). Statistical calculations will be performed using the SPSS software (SPSS inc. Chicago. IL), version 29.0 and the significance level will be set at 5%.