scholarly journals Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis

2011 ◽  
Vol 94 (4) ◽  
pp. 1088-1096 ◽  
Author(s):  
An Pan ◽  
Qi Sun ◽  
Adam M Bernstein ◽  
Matthias B Schulze ◽  
JoAnn E Manson ◽  
...  

ABSTRACT Background: The relation between consumption of different types of red meats and risk of type 2 diabetes (T2D) remains uncertain. Objective: We evaluated the association between unprocessed and processed red meat consumption and incident T2D in US adults. Design: We followed 37,083 men in the Health Professionals Follow-Up Study (1986–2006), 79,570 women in the Nurses’ Health Study I (1980–2008), and 87,504 women in the Nurses’ Health Study II (1991–2005). Diet was assessed by validated food-frequency questionnaires, and data were updated every 4 y. Incident T2D was confirmed by a validated supplementary questionnaire. Results: During 4,033,322 person-years of follow-up, we documented 13,759 incident T2D cases. After adjustment for age, BMI, and other lifestyle and dietary risk factors, both unprocessed and processed red meat intakes were positively associated with T2D risk in each cohort (all P-trend <0.001). The pooled HRs (95% CIs) for a one serving/d increase in unprocessed, processed, and total red meat consumption were 1.12 (1.08, 1.16), 1.32 (1.25, 1.40), and 1.14 (1.10, 1.18), respectively. The results were confirmed by a meta-analysis (442,101 participants and 28,228 diabetes cases): the RRs (95% CIs) were 1.19 (1.04, 1.37) and 1.51 (1.25, 1.83) for 100 g unprocessed red meat/d and for 50 g processed red meat/d, respectively. We estimated that substitutions of one serving of nuts, low-fat dairy, and whole grains per day for one serving of red meat per day were associated with a 16–35% lower risk of T2D. Conclusion: Our results suggest that red meat consumption, particularly processed red meat, is associated with an increased risk of T2D.

Author(s):  
Anne Mette L Würtz ◽  
Marianne U Jakobsen ◽  
Monica L Bertoia ◽  
Tao Hou ◽  
Erik B Schmidt ◽  
...  

ABSTRACT Background Greater consumption of red meat has been associated with a higher risk of type 2 diabetes mellitus (T2DM). A decreased intake of red meat and simultaneous increased intake of other high-protein foods may be associated with a lower risk of T2DM. These analyses of specific food replacements for red meat may provide more accurate dietary advice. Objective We examined the association between a decrease in intake of red meat accompanied by an increase in other major dietary protein sources and risk of T2DM. Methods We prospectively followed 27,634 males in the Health Professionals Follow-up Study, 46,023 females in the Nurses’ Health Study, and 75,196 females in the Nurses’ Health Study II. Diet was assessed by a validated FFQ and updated every 4 y. Cox proportional hazards models adjusted for T2DM risk factors were used to model the food replacements. We calculated HRs and 95% CIs for the T2DM risk associated with replacements of 1 daily serving of red meat with another protein source. Results During 2,113,245 person-years of follow-up, we identified 8763 incident T2DM cases from 1990 to 2013. In the pooled analyses, a decrease in total red meat intake during a 4-y period replaced with another common protein food was associated with a lower risk of T2DM in the subsequent 4-y period. The HR (95% CI) per 1 serving/d was 0.82 (0.75, 0.90) for poultry, 0.87 (0.77, 0.98) for seafood, 0.82 (0.78, 0.86) for low-fat dairy, 0.82 (0.77, 0.86) for high-fat dairy, 0.90 (0.81, 0.99) for eggs, 0.89 (0.82, 0.98) for legumes, and 0.83 (0.78, 0.89) for nuts. The associations were present for both unprocessed and processed red meat, although stronger for the replacement of processed red meat. Conclusions Replacing red meat consumption with other protein sources was associated with a lower risk of T2DM.


Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
An Pan ◽  
Qi Sun ◽  
JoAnn E Manson ◽  
Walter C Willett ◽  
Frank B Hu

Introduction: Red meat consumption has been consistently associated with an increased risk of type 2 diabetes (T2D). However, it remains largely unknown whether changes in red meat intake are related to subsequent T2D risk. Methods: We followed 26,358 men in the Health Professionals Follow-up Study (HPFS, 1986-2006), 48,710 women in the Nurses’ Health Study (NHS, 1986-2006) and 74,077 women in NHS II (1991-2007). Diet was assessed by validated food frequency questionnaires and updated every 4 years. Incident T2D was confirmed by a validated supplementary questionnaire. Time-dependent Cox proportional hazard models were used to calculate relative risks (RRs) for changes in red meat consumption during a 4-year interval in relation to risk of T2D in the subsequent 4 years, with adjustment for age, family history, race, marital status, initial red meat consumption, initial and changes in other lifestyle factors (physical activity, smoking status, alcohol intake, and dietary quality). The results in the three cohorts were pooled by inverse-variance-weighted random-effects meta-analyses. Results: During 1,965,911 person-years of follow-up, we documented 7,521 incident T2D cases. In the multivariate-adjusted models, increasing red meat intake during a 4-year interval was associated with an increased risk of subsequent 4-year T2D risk in each cohort (all P-trend <0.001), and the pooled RR for one serving/d increment of red meat consumption was 1.30 (95% CI: 1.23, 1.38). The RR was attenuated to 1.20 (95% CI: 1.13, 1.27) after adjustment for baseline body mass index and concurrent weight change. We found significant interaction between initial red meat consumption and changes in red meat consumption with the subsequent risk of T2D; among participants with initial low (<2 servings/wk) or moderate (2-6 servings/wk) levels of red meat consumption, an increase of one serving/d during a 4-year interval was related to an elevated risk of incident T2D in the subsequent 4 years, and the pooled RR was 1.99 (95% CI: 1.47, 2.70) and 1.51 (95% CI: 1.25, 1.81), respectively. However, the association was much weaker (pooled RR 1.16; 95% CI: 1.05, 1.27) in individuals with high initial red meat consumption levels (≥1 serving/d), and the association was not linear in the HPFS and NHS II. Conclusions: Increasing red meat consumption over time is associated with an elevated subsequent risk of T2D, and the association is partly mediated by body weight changes. The association also depends on the initial red meat consumption levels. Our results add further evidence that limiting red meat consumption over time can confer benefits on diabetes prevention.


2018 ◽  
Vol 108 (5) ◽  
pp. 1121-1128 ◽  
Author(s):  
Joan Sabaté ◽  
Nasira M Burkholder-Cooley ◽  
Gina Segovia-Siapco ◽  
Keiji Oda ◽  
Briana Wells ◽  
...  

ABSTRACT Background Meat intake is associated with increased risk of type 2 diabetes (T2D). It is not clear if egg intake is associated with T2D risk because purported associations may be due to concurrent consumption of eggs with meat. Objective Our aim was to differentiate any associations between meat and egg consumption and the risk of T2D. Design In this longitudinal study, 55,851 participants of the Adventist Health Study 2 who were free of diabetes provided demographic, anthropometric, and dietary data at baseline. Meat and egg intakes were assessed with a validated quantitative food-frequency questionnaire. Responses to 2 follow-up questionnaires determined incident T2D cases. Multivariate-adjusted logistic regression was used to determine relations between meat and egg intake and incident T2D. Results T2D cases identified during a mean 5.3 y of follow-up totaled 2772. Meat intake of >0 to <25 g/d, ≥25 to <70 g/d, and ≥70 g/d significantly increased the risk of T2D compared with no meat intake (OR: 1.29; 95% CI: 1.16, 1.44; OR: 1.42; 95% CI: 1.25, 1.61; and OR: 1.65; 95% CI: 1.39, 1.96, respectively; P-trend < 0.0001). Egg intake compared with no egg intake was not associated with T2D risk. A significant meat-egg interaction (P = 0.019) showed that within every category of egg intake, there was an incremental rise in T2D risk as meat intake increased. However, within categories of meat intake, increasing egg intake did not increase the risk of T2D except among nonmeat-eaters consuming ≥5 eggs/wk (OR: 1.52; 95% CI: 1.09, 2.12). Conclusions Meat consumption, but not egg consumption, is independently associated with T2D risk. Egg intake seems not to increase T2D risk further with meat intake. Our findings suggest that the purported egg-T2D risk relation in US populations may be biased due to failure to investigate egg-meat interactions. Further investigations are needed to ascertain T2D risk among nonmeat-eaters with high egg intakes.


Author(s):  
Yanan Ma ◽  
Wanshui Yang ◽  
Tricia Li ◽  
Yue Liu ◽  
Tracey G Simon ◽  
...  

Abstract Background Epidemiological evidence on the associations between meat intake and risk of hepatocellular carcinoma (HCC) was limited and inconsistent. Methods We prospectively examined the association between consumption of meats and meat mutagens with HCC risk using data from the Nurses’ Health Study and the Health Professionals Follow-up Study. Cox proportional-hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) after adjusting for known liver-cancer risk factors. Results During up to 32 years of follow-up, we documented 163 incident HCC cases. The HRs of HCC for the highest vs the lowest tertile intake levels were 1.84 (95% CI: 1.16–2.92, Ptrend = 0.04) for processed red meats and 0.61 (95% CI: 0.40–0.91, Ptrend = 0.02) for total white meats. There was a null association between unprocessed red meats and HCC risk (HR = 1.06, 95% CI: 0.68–1.63, Ptrend = 0.85). We found both poultry (HR = 0.60, 95% CI: 0.40–0.90, Ptrend = 0.01) and fish (HR = 0.70, 95% CI: 0.47–1.05, Ptrend = 0.10) were inversely associated with HCC risk. The HR for HCC risk was 0.79 (95% CI: 0.61–1.02) when 1 standard deviation of processed red meats was substituted with an equivalent amount of poultry or fish intake. We also found a suggestive positive association of intake of meat-derived mutagenicity or heterocyclic amines with risk of HCC. Conclusions Processed red meat intake might be associated with higher, whereas poultry or possibly fish intake might be associated with lower, risk of HCC. Replacing processed red meat with poultry or fish might be associated with reduced HCC risk.


Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Martha Tamez ◽  
Renata Micha ◽  
Martin Lajous ◽  
Dariush Mozaffarian

Background: Several studies have recently evaluated the relation of processed and unprocessed red meat consumption and type 2 diabetes mellitus (DM). An updated review and quantitative assessment of these studies is crucial for public health recommendations. Methods: We performed a systematic review and meta-analysis of the relation of processed (salted or otherwise preserved), unprocessed, and total red meat consumption with DM. We updated a prior systematic search (to Mar 2009) for additional cohort, case-control, or randomized studies through Oct 2012. Among prior identified studies and 208 newly identified abstracts, 13 studies, all prospective cohorts, met inclusion criteria. These included 4 prior identified studies, 3 updated analyses, and 6 new cohorts. Data were extracted independently in duplicate. Random-effects generalized least squares models for trend were used to derive pooled dose-response estimates. Statistical heterogeneity between studies was tested with goodness of fit (λ2), and publication bias by funnel plots and Begg’s test. Results: The 13 studies provided 34 separate estimates for relations of processed, unprocessed, and total red meat consumption with incident DM. These included 574,212 individuals and 33,482 DM cases. In pooled analyses, per 50-g serving/d of processed meats, DM risk was 35% higher (13 studies; 34,077 cases; RR 1.35; 95% CI, 1.24-1.55; P<0.001). The latter corresponded to 82% higher DM risk (RR 1.82; 95% CI, 1.64-2.02; P<0.001) for each 100-g serving/d of processed meats. Per 100-g serving/d of unprocessed red meats, 13% higher risk of DM was seen (12 studies; 31 591 cases; RR 1.13; 95% CI, 1.08-1.17; P<0.001). Fewer studies evaluated total red meat, with intermediate results (5 studies; 16,747 cases; RR per 100-g serving/d 1.16; 95% CI, 1.11-1.21; P<0.001). Heterogeneity was evident by study location, with stronger risk estimates in US vs European populations. Evidence for publication bias was not seen. Conclusions: Consumption of red meat is associated with high incidence of DM. Per gram, risk is highest for processed meats, highlighting the need for investigation of key responsible constituents and informing policy priorities.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Chisa Matsumoto ◽  
Howard D Sesso ◽  
Howard D Sesso ◽  
J. Michael Gaziano ◽  
Luc Djoussé

Objectives: Short-term metabolic studies have shown that caffeine improves insulin-sensitivity. However, epidemiological studies evaluating the relationship of caffeine intake with risk of type 2 diabetes (DM) have shown inconsistent results. We examined whether caffeine intake is associated with the risk of DM in the Physicians’ Health Study and supplemented the results with a meta-analysis. Methods: We prospectively analyzed data on 18,432 PHS participants that were free of DM at baseline (1997-2001). Caffeine intake was assessed using a food-frequency questionnaire. Incident DM was ascertained via annual follow-up questionnaires and validated in a subsample by review of medical records. We used Cox proportional hazards models to estimate the HR and 95% CI of DM. Meta-analysis was conducted through a systematic literature search using PubMed and EMBASE. A random-effect model was used and between-studies heterogeneity was estimated with I 2 . Results: In the PHS, mean age at baseline was 66.4 ± 9.3 years, and 1,137 men (6.2%) developed DM during mean follow up of 9.2 years. In a multivariable model adjusted for conventional risk factors of DM, HRs (95% CI) for DM were 1.0 (ref), 1.08 (0.90-1.29), 1.03 (0.85-1.24), 0.98 (0.81-1.18), and 0.86 (0.70-1.04) across consecutive quintiles of caffeine intake (p for linear trend= 0.69). Meta-analysis included 6 studies consisted of 7 separate cohorts comprising 275,971 individuals and 10,048 cases of incident DM. The pooled odds ratio (95% CI) for DM was 0.79 (0.68-0.93) when the highest caffeine intake was compared to the lowest group in random effects model (I 2 =75%). Conclusion: While only the highest category of caffeine intake was associated with a modest and non-significant association with DM in the PHS, results from the meta-analysis were consistent with a lower risk of DM.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1452-1452
Author(s):  
Ze-Lei Miao ◽  
Ju-Sheng Zheng ◽  
Yu-Ming Chen

Abstract Objectives To examine the prospective association of erythrocyte n-6 polyunsaturated fatty acid (PUFA) biomarkers with incident type 2 diabetes (T2D), and the potential role of gut microbiota. Methods 2731 non-T2D participants recruited between 2008–2013 in the Guangzhou Nutrition and Health Study were included in the present study. 276 incident T2D was ascertained after a median follow-up of 6.2 years, and 16S rRNA profiling was conducted using stool samples collected during follow-up. We examined the prospective association of erythrocyte n-6 PUFA biomarkers with incident T2D, and with diversity and composition of gut microbiota. Results Higher levels of erythrocyte γ-linolenic acid (GLA) were associated with higher T2D risk, with relative risk (quartile 4 versus 1) 1.72 (95% confidence intervals: 1.21, 2.44), adjusting for potential confounders. No association with T2D was found for erythrocyte linoleic acid or arachidonic acid. Baseline GLA was inversely associated with gut microbial richness and diversity (α-diversity, both P &lt; 0.05) during follow-up, and significantly associated with microbiota β-diversity (P = 0.002). Seven genera (Butyrivibrio, Blautia, Oscillospira, Odoribacter, S24–7 other, Rikenellaceae other, and Clostridiales other) were enriched in quartile 1 of GLA, and in participants without T2D. Conclusions The present study suggests that erythrocyte GLA biomarker is positively associated with incident T2D in a Chinese population. High GLA status is associated with unfavorable gut microbial profiles, which may contribute to the increased risk of T2D. These results highlight that gut microbiota may play an important role linking n-6 PUFA metabolism and T2D etiology. Funding Sources This study was funded by the National Natural Science Foundation of China, Westlake University and the 5010 Program for Clinical Researches of the Sun Yat-sen University.


Gut ◽  
2020 ◽  
pp. gutjnl-2020-322557 ◽  
Author(s):  
Jinqiu Yuan ◽  
Qiangsheng He ◽  
Long H Nguyen ◽  
Martin C S Wong ◽  
Junjie Huang ◽  
...  

ObjectiveThe association between the regular use of proton pump inhibitors (PPIs) and the risk of type 2 diabetes remains unclear, although a recent randomised controlled trial showed a trend towards increased risk. This study was undertaken to evaluate the regular use of PPIs and risk of type 2 diabetes.MethodThis is a prospective analysis of 204 689 participants free of diabetes in the Nurses' Health Study (NHS), NHS II and Health Professionals Follow-up Study (HPFS). Type 2 diabetes was confirmed using American Diabetes Association (ADA) diagnostic criteria. We evaluated hazard ratios (HRs) adjusting for demographic factors, lifestyle habits, the presence of comorbidities, use of other medications and clinical indications.ResultsWe documented 10 105 incident cases of diabetes over 2 127 471 person-years of follow-up. Regular PPI users had a 24% higher risk of diabetes than non-users (HR 1.24, 95% CI 1.17 to 1.31). The risk of diabetes increased with duration of PPI use. Fully adjusted HRs were 1.05 (95% CI 0.93 to 1.19) for participants who used PPIs for >0–2 years and 1.26 (95% CI 1.18 to 1.35) for participants who used PPIs for >2 years compared with non-users.ConclusionsRegular use of PPIs was associated with a higher risk of type 2 diabetes and the risk increased with longer duration of use. Physicians should therefore exercise caution when prescribing PPIs, particularly for long-term use.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1387-1387
Author(s):  
Zhangling Cheng ◽  
Jean-Philippe Drouin-Chartier ◽  
Yanping Li ◽  
Megu Baden ◽  
JoAnn Manson ◽  
...  

Abstract Objectives Plant-based diets may lower type 2 diabetes (T2D) risk. Whether changes in adherence to plant-based diets are associated with subsequent T2D risk remains unknown. We aimed to evaluate the associations between 4 year changes in plant based diets and subsequent 4 year risk of T2D. Methods We prospectively followed 76,530 women in the Nurses’ Health Study (NHS, 1986–2012), 81,586 women in NHS II (1991–2017), and 34,468 men in the Health Professionals’ Follow-up Study (1986–2016). Diet was assessed every 4 years using validated food-frequency questionnaires. Adherence to plant-based diets was assessed using previously developed indices – the overall plant-based diet index (PDI), the healthful PDI (hPDI), and the unhealthful PDI (uPDI). Self reported T2D cases were validated by supplementary questionnaires. We used multivariable time dependent Cox proportional hazards models to estimate hazard ratios (HR) and 95% CIs for T2D associated with 4 year changes in adherence to plant based diets. Results of the three cohorts were pooled using an inverse variance-weighted meta-analysis. Results We documented 12,016 cases of T2D during 2818,485 person-years of follow-up. After adjustment for initial BMI, initial and 4-year changes in lifestyle and other factors, compared with participants whose indices remained relatively stable (±3%), participants with the largest 4-year decrease (&gt;10%) in PDI and hPDI had a 12%-23% higher T2D risk in the subsequent 4 years (HR for PDI, 1.12 (95% CI 1.05, 1.20), HR for hPDI, 1.23 (1.16, 1.31)). Conversely, each 10% incremental increase in PDI and hPDI over 4 years was associated with a 7%–9% lower T2D risk in subsequent 4 years (HR for PDI, 0.93 (0.90, 0.95), HR for hPDI, 0.91 (0.87, 0.95)). Changes in uPDI were not associated with T2D risk. Further adjustment for concurrent changes in body weight, a potential mediator, modestly attenuated the associations but results remained significant. We estimated that body weight changes explained 6.0%–36% of the associations between 4 year changes in PDI and hPDI and subsequent T2D risk. Conclusions Improving adherence to overall and healthful plant based diets over a 4 year period was associated with a lower T2D risk, whereas decreased adherence to overall and healthful plant based diets was associated with a higher T2D risk. Funding Sources Nutricia Research Foundation/NIH.


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