Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey
Aims. Lipid accumulation product (LAP) is put forward as a powerful marker showing the accumulation of visceral fat. The present study is aimed at (i) analyzing the predictive performances of LAP in the identification of impaired fasting glucose (IFG) in Chinese population and (ii) exploring the pot...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2019/9014698 |
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| author | Jian Song Xue Chen Yuhong Jiang Jing Mi Yuyuan Zhang Yingying Zhao Xuesen Wu Huaiquan Gao |
| author_facet | Jian Song Xue Chen Yuhong Jiang Jing Mi Yuyuan Zhang Yingying Zhao Xuesen Wu Huaiquan Gao |
| author_sort | Jian Song |
| collection | DOAJ |
| description | Aims. Lipid accumulation product (LAP) is put forward as a powerful marker showing the accumulation of visceral fat. The present study is aimed at (i) analyzing the predictive performances of LAP in the identification of impaired fasting glucose (IFG) in Chinese population and (ii) exploring the potentially interactive effect between LAP and other factors on IFG risk. Methods. Analysis was conducted on the data obtained from a community-based cross-sectional survey in Chinese population, and all the participants enrolled were required to complete a face-to-face questionnaire survey and related health checks. Then, for the purpose of comparing predictive values between LAP and conventional obesity indices for IFG, relevant analysis was carried out on the receiver operating characteristic (ROC) curve. The assessment of interactive effects was conducted by employing the three indicators as follows: (1) RERI (the relative excess risk due to interaction), (2) AP (attributable proportion due to interaction), and (3) SI (synergy index). Results. A total of 1777 participants (748 males and 1029 females) were involved in the final analysis. It was finally obtained that the prevalence rate of IFG was 14.1% in total, 15.5% for males and 13.1% for females, respectively. In logistic regression analysis, individuals with LAP levels in the fourth quartile had a significant higher risk of getting IFG in comparison with that of the lowest quartile (crude OR: 4.58, 95% CI: 3.01-6.98; adjusted OR: 3.81, 95% CI: 2.33-6.23). In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (Z=2.20, P=0.028) and females (Z=2.13, P=0.033). However, LAP displayed a higher predictability in comparison with WC only in females (Z=2.07, P=0.038), but not in males (Z=0.18, P=0.860). Furthermore, LAP and family history of diabetes were able to impose significant synergistic interaction on the risk of IFG, which was indicated by all the parameters in females (RERI: 2.52, 95% CI: 0.19-4.84; AP: 0.47, 95% CI: 0.20-0.74; SI: 2.39, 95% CI: 1.17-4.87) and males (RERI: 2.18, 95% CI: 0.08-4.73; AP: 0.43, 95% CI: 0.07-0.79; SI: 2.15, 95% CI: 1.03-5.45). However, none of the indicators showed significant interaction between LAP and smoking on the risk of IFG in females (RERI: 0.92, 95% CI: -2.79-4.63; AP: 0.20, 95% CI: -0.50-0.92; SI: 1.37, 95% CI: 0.42-4.52). Meanwhile, there was also no significant interaction between LAP and smoking on the risk of IFG in males as indicated by the value of SI (2.22, 95% CI: 0.80-6.21). Conclusion. It was concluded that LAP was significantly related to a higher risk of IFG in Chinese population, and its performance was superior to that of conventional obesity indices, especially in females. Apart from that, LAP with family history of diabetes may have an interactive effect that can impose a great influence on the development of IFG. |
| format | Article |
| id | doaj-art-3c0ff9341d73442faf7d30d559fee95b |
| institution | Kabale University |
| issn | 2314-6745 2314-6753 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-3c0ff9341d73442faf7d30d559fee95b2025-02-03T01:06:47ZengWileyJournal of Diabetes Research2314-67452314-67532019-01-01201910.1155/2019/90146989014698Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional SurveyJian Song0Xue Chen1Yuhong Jiang2Jing Mi3Yuyuan Zhang4Yingying Zhao5Xuesen Wu6Huaiquan Gao7School of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaBengbu Health Board, 568 Nanhu Road, Bengbu, 233000 Anhui Province, ChinaSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaSchool of Public Health, Bengbu Medical College, 2600 Donghai Road, Bengbu, 233000 Anhui Province, ChinaAims. Lipid accumulation product (LAP) is put forward as a powerful marker showing the accumulation of visceral fat. The present study is aimed at (i) analyzing the predictive performances of LAP in the identification of impaired fasting glucose (IFG) in Chinese population and (ii) exploring the potentially interactive effect between LAP and other factors on IFG risk. Methods. Analysis was conducted on the data obtained from a community-based cross-sectional survey in Chinese population, and all the participants enrolled were required to complete a face-to-face questionnaire survey and related health checks. Then, for the purpose of comparing predictive values between LAP and conventional obesity indices for IFG, relevant analysis was carried out on the receiver operating characteristic (ROC) curve. The assessment of interactive effects was conducted by employing the three indicators as follows: (1) RERI (the relative excess risk due to interaction), (2) AP (attributable proportion due to interaction), and (3) SI (synergy index). Results. A total of 1777 participants (748 males and 1029 females) were involved in the final analysis. It was finally obtained that the prevalence rate of IFG was 14.1% in total, 15.5% for males and 13.1% for females, respectively. In logistic regression analysis, individuals with LAP levels in the fourth quartile had a significant higher risk of getting IFG in comparison with that of the lowest quartile (crude OR: 4.58, 95% CI: 3.01-6.98; adjusted OR: 3.81, 95% CI: 2.33-6.23). In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (Z=2.20, P=0.028) and females (Z=2.13, P=0.033). However, LAP displayed a higher predictability in comparison with WC only in females (Z=2.07, P=0.038), but not in males (Z=0.18, P=0.860). Furthermore, LAP and family history of diabetes were able to impose significant synergistic interaction on the risk of IFG, which was indicated by all the parameters in females (RERI: 2.52, 95% CI: 0.19-4.84; AP: 0.47, 95% CI: 0.20-0.74; SI: 2.39, 95% CI: 1.17-4.87) and males (RERI: 2.18, 95% CI: 0.08-4.73; AP: 0.43, 95% CI: 0.07-0.79; SI: 2.15, 95% CI: 1.03-5.45). However, none of the indicators showed significant interaction between LAP and smoking on the risk of IFG in females (RERI: 0.92, 95% CI: -2.79-4.63; AP: 0.20, 95% CI: -0.50-0.92; SI: 1.37, 95% CI: 0.42-4.52). Meanwhile, there was also no significant interaction between LAP and smoking on the risk of IFG in males as indicated by the value of SI (2.22, 95% CI: 0.80-6.21). Conclusion. It was concluded that LAP was significantly related to a higher risk of IFG in Chinese population, and its performance was superior to that of conventional obesity indices, especially in females. Apart from that, LAP with family history of diabetes may have an interactive effect that can impose a great influence on the development of IFG.http://dx.doi.org/10.1155/2019/9014698 |
| spellingShingle | Jian Song Xue Chen Yuhong Jiang Jing Mi Yuyuan Zhang Yingying Zhao Xuesen Wu Huaiquan Gao Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey Journal of Diabetes Research |
| title | Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey |
| title_full | Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey |
| title_fullStr | Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey |
| title_full_unstemmed | Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey |
| title_short | Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey |
| title_sort | association and interaction analysis of lipid accumulation product with impaired fasting glucose risk a cross sectional survey |
| url | http://dx.doi.org/10.1155/2019/9014698 |
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