Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study
Abstract Background Low relative fat free mass (FFM) is associated with a greater risk of chronic diseases and mortality. Unfortunately, FFM is currently not being measured regularly to allow for individuals therapy. Objective One reason why FFM is not being used may be related to additional equipme...
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| Format: | Article |
| Language: | English |
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BMC
2024-04-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-024-18611-w |
| _version_ | 1797199103522766848 |
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| author | Maximilian Dietzmann Dörte Radke Marcello RP Markus Mats Wiese Henry Völzke Stephan B. Felix Marcus Dörr Martin Bahls Till Ittermann |
| author_facet | Maximilian Dietzmann Dörte Radke Marcello RP Markus Mats Wiese Henry Völzke Stephan B. Felix Marcus Dörr Martin Bahls Till Ittermann |
| author_sort | Maximilian Dietzmann |
| collection | DOAJ |
| description | Abstract Background Low relative fat free mass (FFM) is associated with a greater risk of chronic diseases and mortality. Unfortunately, FFM is currently not being measured regularly to allow for individuals therapy. Objective One reason why FFM is not being used may be related to additional equipment and resources, thus we aimed to identify easily accessible anthropometric markers related with FFM. Materials and methods We analyzed data of 1,593 individuals (784 women; 49.2%, age range 28–88 years) enrolled in the population-based Study of Health in Pomerania (SHIP-TREND 1). Forty-seven anthropometric markers were derived from a 3D optical body-scanner. FFM was assessed by bioelectrical impedance analysis (FFMBIA) or air displacement plethysmography (FFMADP). In sex-stratified linear regression models, FFM was regressed on anthropometric measurements adjusted for body height and age. Anthropometric markers were ranked according to the coefficient of determination (R2) derived from these regression models. Results Circumferences of high hip, belly, middle hip, waist and high waist showed the strongest inverse associations with FFM. These relations were stronger in females than in males. Associations of anthropometric markers with FFMAPD were greater compared to FFMBIA. Conclusion Anthropometric measures were more strongly associated with FFMADP compared to FFMBIA. Anthropometric markers like circumferences of the high or middle hip, belly or waist may be appropriate surrogates for FFM to aid in individualized therapy. Given that the identified markers are representative of visceral adipose tissue, the connection between whole body strength as surrogate for FFM and fat mass should be explored in more detail. |
| first_indexed | 2024-04-24T07:10:26Z |
| format | Article |
| id | doaj.art-11925a8da6464dbc9bdead04f3ed4801 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-24T07:10:26Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-11925a8da6464dbc9bdead04f3ed48012024-04-21T11:33:03ZengBMCBMC Public Health1471-24582024-04-0124111110.1186/s12889-024-18611-wAssociations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based studyMaximilian Dietzmann0Dörte Radke1Marcello RP Markus2Mats Wiese3Henry Völzke4Stephan B. Felix5Marcus Dörr6Martin Bahls7Till Ittermann8Institute for Community Medicine, University Medicine GreifswaldInstitute for Community Medicine, University Medicine GreifswaldGerman Centre for Cardiovascular Research (DZHK) partner site GreifswaldDepartment of Internal Medicine A, University Medicine GreifswaldInstitute for Community Medicine, University Medicine GreifswaldGerman Centre for Cardiovascular Research (DZHK) partner site GreifswaldGerman Centre for Cardiovascular Research (DZHK) partner site GreifswaldGerman Centre for Cardiovascular Research (DZHK) partner site GreifswaldInstitute for Community Medicine, University Medicine GreifswaldAbstract Background Low relative fat free mass (FFM) is associated with a greater risk of chronic diseases and mortality. Unfortunately, FFM is currently not being measured regularly to allow for individuals therapy. Objective One reason why FFM is not being used may be related to additional equipment and resources, thus we aimed to identify easily accessible anthropometric markers related with FFM. Materials and methods We analyzed data of 1,593 individuals (784 women; 49.2%, age range 28–88 years) enrolled in the population-based Study of Health in Pomerania (SHIP-TREND 1). Forty-seven anthropometric markers were derived from a 3D optical body-scanner. FFM was assessed by bioelectrical impedance analysis (FFMBIA) or air displacement plethysmography (FFMADP). In sex-stratified linear regression models, FFM was regressed on anthropometric measurements adjusted for body height and age. Anthropometric markers were ranked according to the coefficient of determination (R2) derived from these regression models. Results Circumferences of high hip, belly, middle hip, waist and high waist showed the strongest inverse associations with FFM. These relations were stronger in females than in males. Associations of anthropometric markers with FFMAPD were greater compared to FFMBIA. Conclusion Anthropometric measures were more strongly associated with FFMADP compared to FFMBIA. Anthropometric markers like circumferences of the high or middle hip, belly or waist may be appropriate surrogates for FFM to aid in individualized therapy. Given that the identified markers are representative of visceral adipose tissue, the connection between whole body strength as surrogate for FFM and fat mass should be explored in more detail.https://doi.org/10.1186/s12889-024-18611-wBody surface scan, anthropometric parametersFat free massCardiovascular diseaseEpidemiologyPopulation-based study |
| spellingShingle | Maximilian Dietzmann Dörte Radke Marcello RP Markus Mats Wiese Henry Völzke Stephan B. Felix Marcus Dörr Martin Bahls Till Ittermann Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study BMC Public Health Body surface scan, anthropometric parameters Fat free mass Cardiovascular disease Epidemiology Population-based study |
| title | Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study |
| title_full | Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study |
| title_fullStr | Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study |
| title_full_unstemmed | Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study |
| title_short | Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study |
| title_sort | associations between 47 anthropometric markers derived from a body scanner and relative fat free mass in a population based study |
| topic | Body surface scan, anthropometric parameters Fat free mass Cardiovascular disease Epidemiology Population-based study |
| url | https://doi.org/10.1186/s12889-024-18611-w |
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