Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population
ObjectiveBody mass index (BMI) is important for predicting the occurrence of metabolic abnormality, but sex differences exist. We aimed to investigate potential sex differences in the predictive value of BMI for metabolic abnormality and to calculate the optimal BMI cut-offs for predicting metabolic...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
|
| Series: | Frontiers in Nutrition |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2025.1491818/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850078237944709120 |
|---|---|
| author | Yingjie Gao Kaimeng Jin Jin Chen Ben Chen Yan Guo Jin Lu |
| author_facet | Yingjie Gao Kaimeng Jin Jin Chen Ben Chen Yan Guo Jin Lu |
| author_sort | Yingjie Gao |
| collection | DOAJ |
| description | ObjectiveBody mass index (BMI) is important for predicting the occurrence of metabolic abnormality, but sex differences exist. We aimed to investigate potential sex differences in the predictive value of BMI for metabolic abnormality and to calculate the optimal BMI cut-offs for predicting metabolic abnormality for each sex.MethodsParticipants (n = 4,623) who attended a health check-up centre continuously in Eastern China between January 2022 and December 2023 were evaluated for metabolic abnormalities. We calculated the proportions of different metabolic abnormalities in different sexes. Receiver operating characteristic (ROC) curves were calculated to determine the optimal BMI cut-off values for predicting metabolic abnormality in males and females. The recognition rate of each metabolic abnormality using different BMI cut-off values for men and women were evaluated.ResultsAmong 4,623 participants (2,234 men and 2,389 women), the age-adjusted prevalence of all metabolic abnormalities was significantly greater among males than among females (p < 0.001). The optimal cut-off values for predicting metabolic abnormalities were 23.5 kg/m2 (males) and 21.8 kg/m2 (females). When BMI ≥24 kg/m2 was used as the cut-off value the recognition rates of each abnormal metabolic factor in the male group were all above 50%, while they were mostly below 50% in the female group, except for the recognition of hyperglycaemia and hypertriglyceridemia. However, in females, when BMI ≥22 kg/m2 was used as the cut-off value, the recognition rates for each abnormal metabolic factor were all above 50%, greater than that when BMI ≥24 kg/m2 was used (p < 0.001).ConclusionThere were sex differences in the BMI thresholds for predicting metabolic abnormalities in the health check-up population. |
| format | Article |
| id | doaj-art-16f18714f4e54cb189f5fdc214f2bb8e |
| institution | DOAJ |
| issn | 2296-861X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nutrition |
| spelling | doaj-art-16f18714f4e54cb189f5fdc214f2bb8e2025-08-20T02:45:37ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2025-02-011210.3389/fnut.2025.14918181491818Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese populationYingjie GaoKaimeng JinJin ChenBen ChenYan GuoJin LuObjectiveBody mass index (BMI) is important for predicting the occurrence of metabolic abnormality, but sex differences exist. We aimed to investigate potential sex differences in the predictive value of BMI for metabolic abnormality and to calculate the optimal BMI cut-offs for predicting metabolic abnormality for each sex.MethodsParticipants (n = 4,623) who attended a health check-up centre continuously in Eastern China between January 2022 and December 2023 were evaluated for metabolic abnormalities. We calculated the proportions of different metabolic abnormalities in different sexes. Receiver operating characteristic (ROC) curves were calculated to determine the optimal BMI cut-off values for predicting metabolic abnormality in males and females. The recognition rate of each metabolic abnormality using different BMI cut-off values for men and women were evaluated.ResultsAmong 4,623 participants (2,234 men and 2,389 women), the age-adjusted prevalence of all metabolic abnormalities was significantly greater among males than among females (p < 0.001). The optimal cut-off values for predicting metabolic abnormalities were 23.5 kg/m2 (males) and 21.8 kg/m2 (females). When BMI ≥24 kg/m2 was used as the cut-off value the recognition rates of each abnormal metabolic factor in the male group were all above 50%, while they were mostly below 50% in the female group, except for the recognition of hyperglycaemia and hypertriglyceridemia. However, in females, when BMI ≥22 kg/m2 was used as the cut-off value, the recognition rates for each abnormal metabolic factor were all above 50%, greater than that when BMI ≥24 kg/m2 was used (p < 0.001).ConclusionThere were sex differences in the BMI thresholds for predicting metabolic abnormalities in the health check-up population.https://www.frontiersin.org/articles/10.3389/fnut.2025.1491818/fullbody mass indexmetabolic abnormalitiessex differencesChinese populationhealth check-up |
| spellingShingle | Yingjie Gao Kaimeng Jin Jin Chen Ben Chen Yan Guo Jin Lu Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population Frontiers in Nutrition body mass index metabolic abnormalities sex differences Chinese population health check-up |
| title | Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population |
| title_full | Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population |
| title_fullStr | Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population |
| title_full_unstemmed | Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population |
| title_short | Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population |
| title_sort | sex differences in the prediction of metabolic abnormalities via body mass index in an eastern chinese population |
| topic | body mass index metabolic abnormalities sex differences Chinese population health check-up |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2025.1491818/full |
| work_keys_str_mv | AT yingjiegao sexdifferencesinthepredictionofmetabolicabnormalitiesviabodymassindexinaneasternchinesepopulation AT kaimengjin sexdifferencesinthepredictionofmetabolicabnormalitiesviabodymassindexinaneasternchinesepopulation AT jinchen sexdifferencesinthepredictionofmetabolicabnormalitiesviabodymassindexinaneasternchinesepopulation AT benchen sexdifferencesinthepredictionofmetabolicabnormalitiesviabodymassindexinaneasternchinesepopulation AT yanguo sexdifferencesinthepredictionofmetabolicabnormalitiesviabodymassindexinaneasternchinesepopulation AT jinlu sexdifferencesinthepredictionofmetabolicabnormalitiesviabodymassindexinaneasternchinesepopulation |