Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study
Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to inves...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Zhangling [verfasserIn] Franco, Oscar H. [verfasserIn] Lamballais, Sander [verfasserIn] Ikram, M. Arfan [verfasserIn] Schoufour, Josje D. [verfasserIn] Muka, Taulant [verfasserIn] Voortman, Trudy [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Clinical nutrition - Amsterdam [u.a.] : Elsevier, 1982, 39, Seite 242-249 |
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| Übergeordnetes Werk: |
volume:39 ; pages:242-249 |
| DOI / URN: |
10.1016/j.clnu.2019.01.021 |
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ELV00338067X |
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| 100 | 1 | |a Chen, Zhangling |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study |
| 264 | 1 | |c 2019 | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
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| 520 | |a Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. | ||
| 650 | 4 | |a Protein intake | |
| 650 | 4 | |a Animal protein intake | |
| 650 | 4 | |a Plant protein intake | |
| 650 | 4 | |a Insulin resistance | |
| 650 | 4 | |a Prediabetes | |
| 650 | 4 | |a Type 2 diabetes | |
| 700 | 1 | |a Franco, Oscar H. |e verfasserin |4 aut | |
| 700 | 1 | |a Lamballais, Sander |e verfasserin |4 aut | |
| 700 | 1 | |a Ikram, M. Arfan |e verfasserin |4 aut | |
| 700 | 1 | |a Schoufour, Josje D. |e verfasserin |4 aut | |
| 700 | 1 | |a Muka, Taulant |e verfasserin |4 aut | |
| 700 | 1 | |a Voortman, Trudy |e verfasserin |0 (orcid)0000-0003-2830-6813 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Clinical nutrition |d Amsterdam [u.a.] : Elsevier, 1982 |g 39, Seite 242-249 |h Online-Ressource |w (DE-627)320475131 |w (DE-600)2009052-3 |w (DE-576)111723418 |x 1532-1983 |7 nnns |
| 773 | 1 | 8 | |g volume:39 |g pages:242-249 |
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| 936 | b | k | |a 44.21 |j Ernährung |x Medizin |
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10.1016/j.clnu.2019.01.021 doi (DE-627)ELV00338067X (ELSEVIER)S0261-5614(19)30040-8 DE-627 ger DE-627 rda eng 610 DE-600 44.21 bkl 44.52 bkl Chen, Zhangling verfasserin aut Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. Protein intake Animal protein intake Plant protein intake Insulin resistance Prediabetes Type 2 diabetes Franco, Oscar H. verfasserin aut Lamballais, Sander verfasserin aut Ikram, M. Arfan verfasserin aut Schoufour, Josje D. verfasserin aut Muka, Taulant verfasserin aut Voortman, Trudy verfasserin (orcid)0000-0003-2830-6813 aut Enthalten in Clinical nutrition Amsterdam [u.a.] : Elsevier, 1982 39, Seite 242-249 Online-Ressource (DE-627)320475131 (DE-600)2009052-3 (DE-576)111723418 1532-1983 nnns volume:39 pages:242-249 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 44.21 Ernährung Medizin 44.52 Therapie Medizin AR 39 242-249 |
| spelling |
10.1016/j.clnu.2019.01.021 doi (DE-627)ELV00338067X (ELSEVIER)S0261-5614(19)30040-8 DE-627 ger DE-627 rda eng 610 DE-600 44.21 bkl 44.52 bkl Chen, Zhangling verfasserin aut Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. Protein intake Animal protein intake Plant protein intake Insulin resistance Prediabetes Type 2 diabetes Franco, Oscar H. verfasserin aut Lamballais, Sander verfasserin aut Ikram, M. Arfan verfasserin aut Schoufour, Josje D. verfasserin aut Muka, Taulant verfasserin aut Voortman, Trudy verfasserin (orcid)0000-0003-2830-6813 aut Enthalten in Clinical nutrition Amsterdam [u.a.] : Elsevier, 1982 39, Seite 242-249 Online-Ressource (DE-627)320475131 (DE-600)2009052-3 (DE-576)111723418 1532-1983 nnns volume:39 pages:242-249 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 44.21 Ernährung Medizin 44.52 Therapie Medizin AR 39 242-249 |
| allfields_unstemmed |
10.1016/j.clnu.2019.01.021 doi (DE-627)ELV00338067X (ELSEVIER)S0261-5614(19)30040-8 DE-627 ger DE-627 rda eng 610 DE-600 44.21 bkl 44.52 bkl Chen, Zhangling verfasserin aut Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. Protein intake Animal protein intake Plant protein intake Insulin resistance Prediabetes Type 2 diabetes Franco, Oscar H. verfasserin aut Lamballais, Sander verfasserin aut Ikram, M. Arfan verfasserin aut Schoufour, Josje D. verfasserin aut Muka, Taulant verfasserin aut Voortman, Trudy verfasserin (orcid)0000-0003-2830-6813 aut Enthalten in Clinical nutrition Amsterdam [u.a.] : Elsevier, 1982 39, Seite 242-249 Online-Ressource (DE-627)320475131 (DE-600)2009052-3 (DE-576)111723418 1532-1983 nnns volume:39 pages:242-249 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 44.21 Ernährung Medizin 44.52 Therapie Medizin AR 39 242-249 |
| allfieldsGer |
10.1016/j.clnu.2019.01.021 doi (DE-627)ELV00338067X (ELSEVIER)S0261-5614(19)30040-8 DE-627 ger DE-627 rda eng 610 DE-600 44.21 bkl 44.52 bkl Chen, Zhangling verfasserin aut Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. Protein intake Animal protein intake Plant protein intake Insulin resistance Prediabetes Type 2 diabetes Franco, Oscar H. verfasserin aut Lamballais, Sander verfasserin aut Ikram, M. Arfan verfasserin aut Schoufour, Josje D. verfasserin aut Muka, Taulant verfasserin aut Voortman, Trudy verfasserin (orcid)0000-0003-2830-6813 aut Enthalten in Clinical nutrition Amsterdam [u.a.] : Elsevier, 1982 39, Seite 242-249 Online-Ressource (DE-627)320475131 (DE-600)2009052-3 (DE-576)111723418 1532-1983 nnns volume:39 pages:242-249 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 44.21 Ernährung Medizin 44.52 Therapie Medizin AR 39 242-249 |
| allfieldsSound |
10.1016/j.clnu.2019.01.021 doi (DE-627)ELV00338067X (ELSEVIER)S0261-5614(19)30040-8 DE-627 ger DE-627 rda eng 610 DE-600 44.21 bkl 44.52 bkl Chen, Zhangling verfasserin aut Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. Protein intake Animal protein intake Plant protein intake Insulin resistance Prediabetes Type 2 diabetes Franco, Oscar H. verfasserin aut Lamballais, Sander verfasserin aut Ikram, M. Arfan verfasserin aut Schoufour, Josje D. verfasserin aut Muka, Taulant verfasserin aut Voortman, Trudy verfasserin (orcid)0000-0003-2830-6813 aut Enthalten in Clinical nutrition Amsterdam [u.a.] : Elsevier, 1982 39, Seite 242-249 Online-Ressource (DE-627)320475131 (DE-600)2009052-3 (DE-576)111723418 1532-1983 nnns volume:39 pages:242-249 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 44.21 Ernährung Medizin 44.52 Therapie Medizin AR 39 242-249 |
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Chen, Zhangling @@aut@@ Franco, Oscar H. @@aut@@ Lamballais, Sander @@aut@@ Ikram, M. Arfan @@aut@@ Schoufour, Josje D. @@aut@@ Muka, Taulant @@aut@@ Voortman, Trudy @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV00338067X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524163245.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230430s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.clnu.2019.01.021</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV00338067X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0261-5614(19)30040-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.21</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Zhangling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. 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Chen, Zhangling |
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Chen, Zhangling ddc 610 bkl 44.21 bkl 44.52 misc Protein intake misc Animal protein intake misc Plant protein intake misc Insulin resistance misc Prediabetes misc Type 2 diabetes Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study |
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610 DE-600 44.21 bkl 44.52 bkl Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study Protein intake Animal protein intake Plant protein intake Insulin resistance Prediabetes Type 2 diabetes |
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ddc 610 bkl 44.21 bkl 44.52 misc Protein intake misc Animal protein intake misc Plant protein intake misc Insulin resistance misc Prediabetes misc Type 2 diabetes |
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ddc 610 bkl 44.21 bkl 44.52 misc Protein intake misc Animal protein intake misc Plant protein intake misc Insulin resistance misc Prediabetes misc Type 2 diabetes |
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ddc 610 bkl 44.21 bkl 44.52 misc Protein intake misc Animal protein intake misc Plant protein intake misc Insulin resistance misc Prediabetes misc Type 2 diabetes |
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Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study |
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Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study |
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Chen, Zhangling Franco, Oscar H. Lamballais, Sander Ikram, M. Arfan Schoufour, Josje D. Muka, Taulant Voortman, Trudy |
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10.1016/j.clnu.2019.01.021 |
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associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: the rotterdam study |
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Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study |
| abstract |
Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. |
| abstractGer |
Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. |
| abstract_unstemmed |
Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. Our findings highlight the importance of specific protein food sources and that habitual high animal protein intake may already in early stages be harmful in the development of T2D. |
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Franco, Oscar H. Lamballais, Sander Ikram, M. Arfan Schoufour, Josje D. Muka, Taulant Voortman, Trudy |
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Franco, Oscar H. Lamballais, Sander Ikram, M. Arfan Schoufour, Josje D. Muka, Taulant Voortman, Trudy |
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10.1016/j.clnu.2019.01.021 |
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2024-07-06T19:25:38.087Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV00338067X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524163245.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230430s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.clnu.2019.01.021</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV00338067X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0261-5614(19)30040-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.21</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Zhangling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Associations of specific dietary protein with longitudinal insulin resistance, prediabetes and type 2 diabetes: The Rotterdam Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background & aims: High protein intake has been linked to increased type 2 diabetes (T2D) risk. However, if this association differs by protein from specific food sources, and if a habitual high protein intake affects insulin resistance and prediabetes risk are largely unknown. We aimed to investigate associations between protein intake from different food sources with longitudinal insulin resistance, and risk of prediabetes and T2D.Methods: Our analyses included 6822 participants aged ≥45 years without diabetes at baseline in three sub-cohorts of the prospective population-based Rotterdam Study. We measured protein intake at baseline using food-frequency questionnaires. Data on longitudinal homeostatic model assessment of insulin resistance (HOMA-IR), and incidence of prediabetes and T2D were available from 1993 to 2014.Results: During follow-up, we documented 931 prediabetes cases and 643 T2D cases. After adjusting for sociodemographic, lifestyle, and dietary factors, higher total protein intake was associated with higher longitudinal HOMA-IR and with higher risk of prediabetes and T2D (per 5% increment in energy from protein at the expense of carbohydrate, for HOMA-IR: β = 0.10, (95%CI 0.07, 0.12); for prediabetes: HR = 1.34 (1.24 1.44); for T2D: HR = 1.37 (1.26, 1.49)). These associations were mainly driven by total animal protein (for HOMA-IR: 0.10 (0.07, 0.12); for prediabetes: 1.35 (1.24, 1.45); for T2D: 1.37 (1.26; 1.49)). The harmful associations of total animal protein were contributed to by protein from meat, fish, and dairy (e.g. for HOMA-IR: protein from meat, 0.13 (0.10, 0.17); from fish, 0.08 (0.03, 0.13); from dairy, 0.04 (0.0003, 0.08)). After additional adjustment for longitudinal waist circumference, associations of total protein and total animal protein with longitudinal HOMA-IR and prediabetes risk were attenuated, but remained statistically significant. Total plant protein, as well as protein from legumes and nuts, from grains, from potatoes, or from fruits and vegetables, was not associated with any of the outcomes.Conclusions: Higher intake of animal protein, from meat, dairy and fish food sources, is associated with higher longitudinal insulin resistance and risk of prediabetes and T2D, which may be partly mediated by obesity over time. Furthermore, plant protein from different sources is not related to insulin resistance, and risk of prediabetes and T2D. 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