Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China
Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lyu, Lu [verfasserIn] Yu, Jie [verfasserIn] Liu, Yiwen [verfasserIn] He, Shuli [verfasserIn] Zhao, Yuan [verfasserIn] Qi, Mengya [verfasserIn] Yang, Na [verfasserIn] He, Liyun [verfasserIn] Wang, Jialu [verfasserIn] Ping, Fan [verfasserIn] Xu, Lingling [verfasserIn] Li, Wei [verfasserIn] Zhang, Huabing [verfasserIn] Li, Yuxiu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Diabetes research and clinical practice - Amsterdam [u.a.] : Elsevier Science, 1985, 194 |
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| Übergeordnetes Werk: |
volume:194 |
| DOI / URN: |
10.1016/j.diabres.2022.110154 |
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| Katalog-ID: |
ELV00893925X |
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| 245 | 1 | 0 | |a Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China |
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| 520 | |a Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. | ||
| 650 | 4 | |a Hemoglobin glycation index(HGI) | |
| 650 | 4 | |a Macronutrients | |
| 650 | 4 | |a Dietary pattern | |
| 650 | 4 | |a Inflammation | |
| 650 | 4 | |a Oxidative stress | |
| 700 | 1 | |a Yu, Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yiwen |e verfasserin |4 aut | |
| 700 | 1 | |a He, Shuli |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Yuan |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Mengya |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Na |e verfasserin |4 aut | |
| 700 | 1 | |a He, Liyun |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jialu |e verfasserin |4 aut | |
| 700 | 1 | |a Ping, Fan |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Lingling |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Wei |e verfasserin |0 (orcid)0000-0002-3332-1287 |4 aut | |
| 700 | 1 | |a Zhang, Huabing |e verfasserin |0 (orcid)0000-0001-6259-7584 |4 aut | |
| 700 | 1 | |a Li, Yuxiu |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Diabetes research and clinical practice |d Amsterdam [u.a.] : Elsevier Science, 1985 |g 194 |h Online-Ressource |w (DE-627)320440907 |w (DE-600)2004910-9 |w (DE-576)267761813 |x 1872-8227 |7 nnns |
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10.1016/j.diabres.2022.110154 doi (DE-627)ELV00893925X (ELSEVIER)S0168-8227(22)00968-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Lyu, Lu verfasserin aut Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. Hemoglobin glycation index(HGI) Macronutrients Dietary pattern Inflammation Oxidative stress Yu, Jie verfasserin aut Liu, Yiwen verfasserin aut He, Shuli verfasserin aut Zhao, Yuan verfasserin aut Qi, Mengya verfasserin aut Yang, Na verfasserin aut He, Liyun verfasserin aut Wang, Jialu verfasserin aut Ping, Fan verfasserin aut Xu, Lingling verfasserin aut Li, Wei verfasserin (orcid)0000-0002-3332-1287 aut Zhang, Huabing verfasserin (orcid)0000-0001-6259-7584 aut Li, Yuxiu verfasserin aut Enthalten in Diabetes research and clinical practice Amsterdam [u.a.] : Elsevier Science, 1985 194 Online-Ressource (DE-627)320440907 (DE-600)2004910-9 (DE-576)267761813 1872-8227 nnns volume:194 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 194 |
| spelling |
10.1016/j.diabres.2022.110154 doi (DE-627)ELV00893925X (ELSEVIER)S0168-8227(22)00968-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Lyu, Lu verfasserin aut Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. Hemoglobin glycation index(HGI) Macronutrients Dietary pattern Inflammation Oxidative stress Yu, Jie verfasserin aut Liu, Yiwen verfasserin aut He, Shuli verfasserin aut Zhao, Yuan verfasserin aut Qi, Mengya verfasserin aut Yang, Na verfasserin aut He, Liyun verfasserin aut Wang, Jialu verfasserin aut Ping, Fan verfasserin aut Xu, Lingling verfasserin aut Li, Wei verfasserin (orcid)0000-0002-3332-1287 aut Zhang, Huabing verfasserin (orcid)0000-0001-6259-7584 aut Li, Yuxiu verfasserin aut Enthalten in Diabetes research and clinical practice Amsterdam [u.a.] : Elsevier Science, 1985 194 Online-Ressource (DE-627)320440907 (DE-600)2004910-9 (DE-576)267761813 1872-8227 nnns volume:194 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 194 |
| allfields_unstemmed |
10.1016/j.diabres.2022.110154 doi (DE-627)ELV00893925X (ELSEVIER)S0168-8227(22)00968-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Lyu, Lu verfasserin aut Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. Hemoglobin glycation index(HGI) Macronutrients Dietary pattern Inflammation Oxidative stress Yu, Jie verfasserin aut Liu, Yiwen verfasserin aut He, Shuli verfasserin aut Zhao, Yuan verfasserin aut Qi, Mengya verfasserin aut Yang, Na verfasserin aut He, Liyun verfasserin aut Wang, Jialu verfasserin aut Ping, Fan verfasserin aut Xu, Lingling verfasserin aut Li, Wei verfasserin (orcid)0000-0002-3332-1287 aut Zhang, Huabing verfasserin (orcid)0000-0001-6259-7584 aut Li, Yuxiu verfasserin aut Enthalten in Diabetes research and clinical practice Amsterdam [u.a.] : Elsevier Science, 1985 194 Online-Ressource (DE-627)320440907 (DE-600)2004910-9 (DE-576)267761813 1872-8227 nnns volume:194 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 194 |
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10.1016/j.diabres.2022.110154 doi (DE-627)ELV00893925X (ELSEVIER)S0168-8227(22)00968-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Lyu, Lu verfasserin aut Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. Hemoglobin glycation index(HGI) Macronutrients Dietary pattern Inflammation Oxidative stress Yu, Jie verfasserin aut Liu, Yiwen verfasserin aut He, Shuli verfasserin aut Zhao, Yuan verfasserin aut Qi, Mengya verfasserin aut Yang, Na verfasserin aut He, Liyun verfasserin aut Wang, Jialu verfasserin aut Ping, Fan verfasserin aut Xu, Lingling verfasserin aut Li, Wei verfasserin (orcid)0000-0002-3332-1287 aut Zhang, Huabing verfasserin (orcid)0000-0001-6259-7584 aut Li, Yuxiu verfasserin aut Enthalten in Diabetes research and clinical practice Amsterdam [u.a.] : Elsevier Science, 1985 194 Online-Ressource (DE-627)320440907 (DE-600)2004910-9 (DE-576)267761813 1872-8227 nnns volume:194 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 194 |
| allfieldsSound |
10.1016/j.diabres.2022.110154 doi (DE-627)ELV00893925X (ELSEVIER)S0168-8227(22)00968-8 DE-627 ger DE-627 rda eng 610 DE-600 44.89 bkl Lyu, Lu verfasserin aut Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. Hemoglobin glycation index(HGI) Macronutrients Dietary pattern Inflammation Oxidative stress Yu, Jie verfasserin aut Liu, Yiwen verfasserin aut He, Shuli verfasserin aut Zhao, Yuan verfasserin aut Qi, Mengya verfasserin aut Yang, Na verfasserin aut He, Liyun verfasserin aut Wang, Jialu verfasserin aut Ping, Fan verfasserin aut Xu, Lingling verfasserin aut Li, Wei verfasserin (orcid)0000-0002-3332-1287 aut Zhang, Huabing verfasserin (orcid)0000-0001-6259-7584 aut Li, Yuxiu verfasserin aut Enthalten in Diabetes research and clinical practice Amsterdam [u.a.] : Elsevier Science, 1985 194 Online-Ressource (DE-627)320440907 (DE-600)2004910-9 (DE-576)267761813 1872-8227 nnns volume:194 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.89 Endokrinologie AR 194 |
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Lyu, Lu @@aut@@ Yu, Jie @@aut@@ Liu, Yiwen @@aut@@ He, Shuli @@aut@@ Zhao, Yuan @@aut@@ Qi, Mengya @@aut@@ Yang, Na @@aut@@ He, Liyun @@aut@@ Wang, Jialu @@aut@@ Ping, Fan @@aut@@ Xu, Lingling @@aut@@ Li, Wei @@aut@@ Zhang, Huabing @@aut@@ Li, Yuxiu @@aut@@ |
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Lyu, Lu ddc 610 bkl 44.89 misc Hemoglobin glycation index(HGI) misc Macronutrients misc Dietary pattern misc Inflammation misc Oxidative stress Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China |
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610 DE-600 44.89 bkl Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China Hemoglobin glycation index(HGI) Macronutrients Dietary pattern Inflammation Oxidative stress |
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Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China |
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Lyu, Lu Yu, Jie Liu, Yiwen He, Shuli Zhao, Yuan Qi, Mengya Yang, Na He, Liyun Wang, Jialu Ping, Fan Xu, Lingling Li, Wei Zhang, Huabing Li, Yuxiu |
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dietary patterns, oxidative stress, inflammation and biological variation in hemoglobin a1c: association and mediation analysis in a rural community in north china |
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Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China |
| abstract |
Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. |
| abstractGer |
Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. |
| abstract_unstemmed |
Objective: The aim is to assess the relationship between the hemoglobin glycation index(HGI) and dietary patterns, and investigates whether inflammation and oxidative stress mediate the relationship.Methods: Cross-sectional data were collected from 453 dwellers in a Chinese rural community. Diet was assessed using 24 h food recalls. Based on the energy intake ratio from three macronutrients, dietary patterns were identified by cluster analysis. The HGI was defined as the observed HbA1c minus predicted HbA1c. Indicators of inflammation and oxidative stress were assessed.Result: 3 dietary patterns were clustered, namely “fat(n = 100)”, “balance(n = 186)” and “carbohydrate(n = 167)”. The fat dietary patterns had lower HGI than the other two dietary patterns. TNFα was higher in the carbohydrate dietary pattern. Linear regression analysis suggested that the carbohydrate dietary pattern was correlated with higher HGI levels(β = 0.204,95 %CI(0.071,0.338)), compared with the fat dietary pattern. The relationship disappeared after accounting for biomarkers of inflammation and oxidative stress. Mediation analyses indicated that TNFα might explain for 19.15 % effects of the carbohydrate dietary pattern on HGI, compared with the fat dietary pattern.Conclusion: The carbohydrate dietary pattern had positive associations with HGI and TNFα. TNFα partly mediated the relationship between dietary patterns and HGI. |
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Dietary patterns, oxidative Stress, inflammation and biological variation in hemoglobin A1c: Association and Mediation analysis in a rural community in north China |
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Yu, Jie Liu, Yiwen He, Shuli Zhao, Yuan Qi, Mengya Yang, Na He, Liyun Wang, Jialu Ping, Fan Xu, Lingling Li, Wei Zhang, Huabing Li, Yuxiu |
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|
| score |
7.4003 |