Dietary Total Antioxidant Capacity is Closely Associated with Skeletal Muscle Mass: A Cross-Sectional Study Article Swipe
Wendong Fang
,
Jie Zhang
,
Lu Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3972809/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3972809/v1
Skeletal muscle is of great importance for human activity and quality of life, as its loss contributes greatly to immobilization, especially for aged individuals. An increased dietary intake of antioxidant vitamins may be beneficial for muscle loss because of aging. However, the quantitative relationship between total antioxidation capacity (TAC) of antioxidant vitamins and muscle mass is undetermined. 4009 participants from the National Health and Nutrition Examination Survey (NHANES) were included. Multivariate linear regression analysis was performed with demographic, lifestyle and dietary intake adjustment factors. The dose saturation effect was also determined by a saturation effect analysis. Subgroup analysis were performed forage and sex. In the fully adjusted model, per unit increase of dietary TAC was associated with an increase of 0.018 g/kg appendicular lean mass (95% CI: 0.007–0.029), 0.014 g/kg trunk lean mass (95% CI: 0.004–0.024) and 0.035 g/kg total lean mass (95% CI: 0.014–0.055). TAC was associated with an decrease of 0.004 kg/kg total percent fat (95% CI: -0.006–-0.002), 0.005 kg/kg trunk percent fat (95% CI: -0.007–-0.002) and 0.003 kg/m2 BMI (95% CI: -0.006–-0.001) at the same time. Subgroup analysis indicated that women and adults <50 years may experience the most significant association between TAC and skeletal muscle mass. We revealed a positive correlation between TAC and lean body mass, a negative association between TAC and body fat and BMI. Saturation values were found among people aged 40–59. Age and sex mediate these associations.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-3972809/v1
- https://www.researchsquare.com/article/rs-3972809/latest.pdf
- OA Status
- green
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392458129
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392458129Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-3972809/v1Digital Object Identifier
- Title
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Dietary Total Antioxidant Capacity is Closely Associated with Skeletal Muscle Mass: A Cross-Sectional StudyWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-05Full publication date if available
- Authors
-
Wendong Fang, Jie Zhang, Lu WangList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-3972809/v1Publisher landing page
- PDF URL
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https://www.researchsquare.com/article/rs-3972809/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-3972809/latest.pdfDirect OA link when available
- Concepts
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Antioxidant capacity, Skeletal muscle, Cross-sectional study, Antioxidant, Food science, Internal medicine, Chemistry, Endocrinology, Biochemistry, Medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.mass. | 200 |
| abstract_inverted_index.these | 234 |
| abstract_inverted_index.time. | 179 |
| abstract_inverted_index.total | 46, 140, 155 |
| abstract_inverted_index.trunk | 131, 163 |
| abstract_inverted_index.women | 184 |
| abstract_inverted_index.years | 188 |
| abstract_inverted_index.<50 | 187 |
| abstract_inverted_index.Health | 63 |
| abstract_inverted_index.Survey | 67 |
| abstract_inverted_index.adults | 186 |
| abstract_inverted_index.aging. | 40 |
| abstract_inverted_index.effect | 88, 95 |
| abstract_inverted_index.forage | 101 |
| abstract_inverted_index.intake | 28, 82 |
| abstract_inverted_index.linear | 72 |
| abstract_inverted_index.model, | 108 |
| abstract_inverted_index.muscle | 2, 36, 54, 199 |
| abstract_inverted_index.people | 227 |
| abstract_inverted_index.values | 223 |
| abstract_inverted_index.because | 38 |
| abstract_inverted_index.between | 45, 195, 206, 215 |
| abstract_inverted_index.dietary | 27, 81, 113 |
| abstract_inverted_index.greatly | 18 |
| abstract_inverted_index.mediate | 233 |
| abstract_inverted_index.percent | 156, 164 |
| abstract_inverted_index.quality | 11 |
| abstract_inverted_index.(NHANES) | 68 |
| abstract_inverted_index.40–59. | 229 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 41 |
| abstract_inverted_index.National | 62 |
| abstract_inverted_index.Skeletal | 1 |
| abstract_inverted_index.Subgroup | 97, 180 |
| abstract_inverted_index.activity | 9 |
| abstract_inverted_index.adjusted | 107 |
| abstract_inverted_index.analysis | 74, 98, 181 |
| abstract_inverted_index.capacity | 48 |
| abstract_inverted_index.decrease | 151 |
| abstract_inverted_index.factors. | 84 |
| abstract_inverted_index.increase | 111, 119 |
| abstract_inverted_index.negative | 213 |
| abstract_inverted_index.positive | 204 |
| abstract_inverted_index.revealed | 202 |
| abstract_inverted_index.skeletal | 198 |
| abstract_inverted_index.vitamins | 31, 52 |
| abstract_inverted_index.Nutrition | 65 |
| abstract_inverted_index.analysis. | 96 |
| abstract_inverted_index.included. | 70 |
| abstract_inverted_index.increased | 26 |
| abstract_inverted_index.indicated | 182 |
| abstract_inverted_index.lifestyle | 79 |
| abstract_inverted_index.performed | 76, 100 |
| abstract_inverted_index.Saturation | 222 |
| abstract_inverted_index.adjustment | 83 |
| abstract_inverted_index.associated | 116, 148 |
| abstract_inverted_index.beneficial | 34 |
| abstract_inverted_index.determined | 91 |
| abstract_inverted_index.especially | 21 |
| abstract_inverted_index.experience | 190 |
| abstract_inverted_index.importance | 6 |
| abstract_inverted_index.regression | 73 |
| abstract_inverted_index.saturation | 87, 94 |
| abstract_inverted_index.Examination | 66 |
| abstract_inverted_index.antioxidant | 30, 51 |
| abstract_inverted_index.association | 194, 214 |
| abstract_inverted_index.contributes | 17 |
| abstract_inverted_index.correlation | 205 |
| abstract_inverted_index.significant | 193 |
| abstract_inverted_index.Multivariate | 71 |
| abstract_inverted_index.appendicular | 123 |
| abstract_inverted_index.demographic, | 78 |
| abstract_inverted_index.individuals. | 24 |
| abstract_inverted_index.participants | 59 |
| abstract_inverted_index.quantitative | 43 |
| abstract_inverted_index.relationship | 44 |
| abstract_inverted_index.antioxidation | 47 |
| abstract_inverted_index.associations. | 235 |
| abstract_inverted_index.undetermined. | 57 |
| abstract_inverted_index.0.004–0.024) | 136 |
| abstract_inverted_index.0.007–0.029), | 128 |
| abstract_inverted_index.0.014–0.055). | 145 |
| abstract_inverted_index.immobilization, | 20 |
| abstract_inverted_index.-0.006–-0.001) | 175 |
| abstract_inverted_index.-0.007–-0.002) | 168 |
| abstract_inverted_index.-0.006–-0.002), | 160 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.04719677 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |