The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study
ObjectiveHigh body mass index (BMI) is an important risk factor for non-alcoholic fatty liver disease (NAFLD). However, the association of body composition such as fat mass (FM) and lean body mass (LBM) with NAFLD has not been adequately studied. The purpose of this study was to clarify the contribu...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
|
| Series: | Frontiers in Nutrition |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2023.1103665/full |
| _version_ | 1797948253189177344 |
|---|---|
| author | Maobin Kuang Maobin Kuang Ruijuan Yang Ruijuan Yang Qiyang Xie Qiyang Xie Nan Peng Song Lu Guobo Xie Shuhua Zhang Yang Zou |
| author_facet | Maobin Kuang Maobin Kuang Ruijuan Yang Ruijuan Yang Qiyang Xie Qiyang Xie Nan Peng Song Lu Guobo Xie Shuhua Zhang Yang Zou |
| author_sort | Maobin Kuang |
| collection | DOAJ |
| description | ObjectiveHigh body mass index (BMI) is an important risk factor for non-alcoholic fatty liver disease (NAFLD). However, the association of body composition such as fat mass (FM) and lean body mass (LBM) with NAFLD has not been adequately studied. The purpose of this study was to clarify the contribution of body composition FM and LBM to NAFLD.MethodsWe analyzed data from 7,411 men and 6,840 women in the NAGALA cohort study. LBM and FM were estimated for all subjects using validated anthropometric prediction equations previously developed from the National Health and Nutrition Examination Survey (NHANES). Using multiple logistic regression and restricted cubic spline (RCS) to analyze the association and the dose-response curve of predicted LBM and FM with NAFLD in both sexes.ResultsThe prevalence of NAFLD in man and woman subjects was 27.37 and 6.99%, respectively. Predicted FM was positively and linearly associated with NAFLD in both sexes, with each 1 kg increase in predicted FM associated with a 27 and 40% increased risk of NAFLD in men and women, respectively. In contrast, predicted LBM was negatively associated with NAFLD in both sexes, with each 1 kg increase in predicted LBM reducing the risk of NAFLD by 4 and 19% in men and women, respectively. In addition, according to the RCS curve, the risk of NAFLD did not change in men when the predicted LBM was between 47 and 52 kg, and there seemed to be a saturation effect; further, the threshold value of the saturation effect was calculated to be about 52.08 kg by two-piecewise logistic regression, and the protective effect on NAFLD would be significantly enhanced when the man predicted LBM was greater than 52.08 kg.ConclusionThe current findings suggested that body composition LBM and FM had opposite associations with NAFLD in both sexes, with higher LBM associated with a lower risk of NAFLD and higher FM increasing the risk of NAFLD, especially in women. |
| first_indexed | 2024-04-10T21:40:27Z |
| format | Article |
| id | doaj.art-8347a572e2da47fba4bf7f780bce6230 |
| institution | Directory Open Access Journal |
| issn | 2296-861X |
| language | English |
| last_indexed | 2024-04-10T21:40:27Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nutrition |
| spelling | doaj.art-8347a572e2da47fba4bf7f780bce62302023-01-19T05:16:01ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2023-01-011010.3389/fnut.2023.11036651103665The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA studyMaobin Kuang0Maobin Kuang1Ruijuan Yang2Ruijuan Yang3Qiyang Xie4Qiyang Xie5Nan Peng6Song Lu7Guobo Xie8Shuhua Zhang9Yang Zou10Department of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, ChinaJiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, ChinaDepartment of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, ChinaDepartment of Endocrinology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, ChinaDepartment of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, ChinaJiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, ChinaDepartment of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, ChinaDepartment of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, ChinaDepartment of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, ChinaJiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, ChinaJiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, ChinaObjectiveHigh body mass index (BMI) is an important risk factor for non-alcoholic fatty liver disease (NAFLD). However, the association of body composition such as fat mass (FM) and lean body mass (LBM) with NAFLD has not been adequately studied. The purpose of this study was to clarify the contribution of body composition FM and LBM to NAFLD.MethodsWe analyzed data from 7,411 men and 6,840 women in the NAGALA cohort study. LBM and FM were estimated for all subjects using validated anthropometric prediction equations previously developed from the National Health and Nutrition Examination Survey (NHANES). Using multiple logistic regression and restricted cubic spline (RCS) to analyze the association and the dose-response curve of predicted LBM and FM with NAFLD in both sexes.ResultsThe prevalence of NAFLD in man and woman subjects was 27.37 and 6.99%, respectively. Predicted FM was positively and linearly associated with NAFLD in both sexes, with each 1 kg increase in predicted FM associated with a 27 and 40% increased risk of NAFLD in men and women, respectively. In contrast, predicted LBM was negatively associated with NAFLD in both sexes, with each 1 kg increase in predicted LBM reducing the risk of NAFLD by 4 and 19% in men and women, respectively. In addition, according to the RCS curve, the risk of NAFLD did not change in men when the predicted LBM was between 47 and 52 kg, and there seemed to be a saturation effect; further, the threshold value of the saturation effect was calculated to be about 52.08 kg by two-piecewise logistic regression, and the protective effect on NAFLD would be significantly enhanced when the man predicted LBM was greater than 52.08 kg.ConclusionThe current findings suggested that body composition LBM and FM had opposite associations with NAFLD in both sexes, with higher LBM associated with a lower risk of NAFLD and higher FM increasing the risk of NAFLD, especially in women.https://www.frontiersin.org/articles/10.3389/fnut.2023.1103665/fullnon-alcoholic fatty liver diseasepredicted lean body massbody mass indexpredicted fat massLBM |
| spellingShingle | Maobin Kuang Maobin Kuang Ruijuan Yang Ruijuan Yang Qiyang Xie Qiyang Xie Nan Peng Song Lu Guobo Xie Shuhua Zhang Yang Zou The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study Frontiers in Nutrition non-alcoholic fatty liver disease predicted lean body mass body mass index predicted fat mass LBM |
| title | The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study |
| title_full | The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study |
| title_fullStr | The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study |
| title_full_unstemmed | The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study |
| title_short | The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study |
| title_sort | role of predicted lean body mass and fat mass in non alcoholic fatty liver disease in both sexes results from a secondary analysis of the nagala study |
| topic | non-alcoholic fatty liver disease predicted lean body mass body mass index predicted fat mass LBM |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2023.1103665/full |
| work_keys_str_mv | AT maobinkuang theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT maobinkuang theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT ruijuanyang theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT ruijuanyang theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT qiyangxie theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT qiyangxie theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT nanpeng theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT songlu theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT guoboxie theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT shuhuazhang theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT yangzou theroleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT maobinkuang roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT maobinkuang roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT ruijuanyang roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT ruijuanyang roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT qiyangxie roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT qiyangxie roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT nanpeng roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT songlu roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT guoboxie roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT shuhuazhang roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy AT yangzou roleofpredictedleanbodymassandfatmassinnonalcoholicfattyliverdiseaseinbothsexesresultsfromasecondaryanalysisofthenagalastudy |