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Hojati A, Abbasalizad Farhangi M. Dietary and Lifestyle Insulinemic Potential Indices and Risk Factors of Metabolic Syndrome Among Overweight and Obese Individuals: A Cross-Sectional Study. Nutr Metab Insights 2024; 17:11786388241273670. [PMID: 39290999 PMCID: PMC11406494 DOI: 10.1177/11786388241273670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 07/15/2024] [Indexed: 09/19/2024] Open
Abstract
Background As a worldwide pandemic, metabolic syndrome (MetS) is related with high disease burden. The emergence of multiple chronic diseases can be attributed to unfavorable dietary and lifestyle choices made by individuals, with hyperinsulinemia and insulin resistance as the underlying causes. Current study sought to assess the relationship between the Empirical Dietary Index for Hyperinsulinemia (EDIH) and the Empirical Lifestyle Index for Hyperinsulinemia (ELIH) and MetS risk factors. Methods This cross-sectional study involved 339 individuals between the ages of 20 and 50, who were either obese or overweight, and were recruited from Tabriz, Iran. In this study, a validated semi-quantitative Food Frequency Questionnaire (FFQ) with 168 questions was used to assess individuals' food consumption. Blood tests were performed to assess total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG) levels, as well as blood glucose and insulin levels. Results After multivariable adjustment, among tertiles of EDIH, systolic blood pressure (SBP) and TG were significantly different. Also, SBP, diastolic blood pressure (DBP), and HDL-C significantly differed across tertiles of ELIH. In multivariate-adjusted models, individuals classified in the highest tertile of EDIH demonstrated elevated ORs in relation to FBG levels [OR: 1.035 (1.004-1.068; P < .05)], and the second tertile of ELIH was inversely associated with SBP [OR: 0.966 (0.935-0.999; P < .05)], DBP [OR: 0.972 (0.948-0.997; P < .05)], TG in the model I [OR: 0.991 (0.983-0.999; P < .05)], and model II [OR: 0.991 (0.983-0.999; P < .05)]. Conclusion Considering the findings of our study, higher insulinemic dietary potential, indicated by EDIH, can be related to higher odds of FBG and decreased odds of TG as risk factors of MetS. Furthermore, our findings suggest that individuals with a higher ELIH may potentially exhibit lower SBP and DBP levels. Nevertheless, further experimental and long-term investigations are necessary to fully comprehend this association.
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Affiliation(s)
- Ali Hojati
- Department of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
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Jenkins DJA, Willett WC, Yusuf S, Hu FB, Glenn AJ, Liu S, Mente A, Miller V, Bangdiwala SI, Gerstein HC, Sieri S, Ferrari P, Patel AV, McCullough ML, Le Marchand L, Freedman ND, Loftfield E, Sinha R, Shu XO, Touvier M, Sawada N, Tsugane S, van den Brandt PA, Shuval K, Khan TA, Paquette M, Sahye-Pudaruth S, Patel D, Siu TFY, Srichaikul K, Kendall CWC, Sievenpiper JL. Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants. Lancet Diabetes Endocrinol 2024; 12:107-118. [PMID: 38272606 DOI: 10.1016/s2213-8587(23)00344-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 01/27/2024]
Abstract
BACKGROUND There is debate over whether the glycaemic index of foods relates to chronic disease. We aimed to assess the associations between glycaemic index (GI) and glycaemic load (GL) and type 2 diabetes, cardiovascular disease, diabetes-related cancers, and all-cause mortality. METHODS We did a meta-analysis of large cohorts (≥100 000 participants) identified from the Richard Doll Consortium. We searched the Cochrane Library, MEDLINE, PubMed, Embase, Web of Science, and Scopus for cohorts that prospectively examined associations between GI or GL and chronic disease outcomes published from database inception to Aug 4, 2023. Full-article review and extraction of summary estimates data were conducted by three independent reviewers. Primary outcomes were incident type 2 diabetes, total cardiovascular disease (including mortality), diabetes-related cancers (ie, bladder, breast, colorectal, endometrial, hepatic, pancreatic, and non-Hodgkin lymphoma), and all-cause mortality. We assessed comparisons between the lowest and highest quantiles of GI and GL, adjusting for dietary factors, and pooling their most adjusted relative risk (RR) estimates using a fixed-effects model. We also assessed associations between diets high in fibre and whole grains and the four main outcomes. The study protocol is registered with PROSPERO, CRD42023394689. FINDINGS From ten prospective large cohorts (six from the USA, one from Europe, two from Asia, and one international), we identified a total of 48 studies reporting associations between GI or GL and the outcomes of interest: 34 (71%) on various cancers, nine (19%) on cardiovascular disease, five (10%) on type 2 diabetes, and three (6%) on all-cause mortality. Consumption of high GI foods was associated with an increased incidence of type 2 diabetes (RR 1·27 [95% CI 1·21-1·34]; p<0·0001), total cardiovascular disease (1·15 [1·11-1·19]; p<0·0001), diabetes-related cancer (1·05 [1·02-1·08]; p=0·0010), and all-cause mortality (1·08 [1·05-1·12]; p<0·0001). Similar associations were seen between high GL and diabetes (RR 1·15 [95% CI 1·09-1·21]; p<0·0001) and total cardiovascular disease (1·15 [1·10-1·20]; p<0·0001). Associations between diets high in fibre and whole grains and the four main outcomes were similar to those for low GI diets. INTERPRETATION Dietary recommendations to reduce GI and GL could have effects on health outcomes that are similar to outcomes of recommendations to increase intake of fibre and whole grain. FUNDING Banting and Best and the Karuna Foundation.
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Affiliation(s)
- David J A Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada; Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada.
| | - Walter C Willett
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Frank B Hu
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrea J Glenn
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Simin Liu
- Center for Global Cardiometabolic Health, Department of Epidemiology, Department of Medicine, and Department of Surgery, Brown University, Providence, RI, USA
| | - Andrew Mente
- Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Victoria Miller
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Shrikant I Bangdiwala
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Pietro Ferrari
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and Statistics, Nutritional Epidemiology Research Team, Bobigny, France; French Network for Nutrition and Cancer Research, Jouy-en-Josas, France
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; International University of Health and Welfare Graduate School of Public Health, Tokyo, Japan
| | - Piet A van den Brandt
- GROW School for Oncology and Developmental Biology, and Department of Epidemiology, Care and Public Health Research Institute-School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Tauseef Ahmad Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
| | - Melanie Paquette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Sandhya Sahye-Pudaruth
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Darshna Patel
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Teenie Fei Yi Siu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Korbua Srichaikul
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; College of Pharmacy and Nutrition, University of Saskatchewan, SK, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada; Clinical Nutrition & Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada; Division of Endocrinology and Metabolism, St Michael's Hospital, Toronto, ON, Canada; Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
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Zhang X, Zhao L, Christopher CN, Tabung FK, Bao W, Garcia DO, Shadyab AH, Saquib N, Neuhouser ML, Tinker LF, Zhang X. Association of dietary insulinemic and inflammatory potential with risk of liver cancer and chronic liver disease mortality in postmenopausal women: a prospective cohort study. Am J Clin Nutr 2023; 118:530-537. [PMID: 37460062 PMCID: PMC10517210 DOI: 10.1016/j.ajcnut.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Low diet quality, diabetes, and chronic inflammation are risk factors of liver cancer and chronic liver disease (CLD), but the extent to which insulinemic and inflammatory diets are independently associated with risk of liver cancer and CLD mortality is unknown. METHODS We conducted a prospective cohort analysis among 78,356 postmenopausal women in the Women's Health Initiative Observational Study. Two validated dietary indices, the empirical dietary index for hyperinsulinemia (EDIH) and the empirical dietary inflammation pattern (EDIP), were estimated from a food-frequency questionnaire. Incident cases of liver cancer and CLD mortality were adjudicated via review of medical records and linkage to National Death Index. Multivariable hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards models, adjusted for age, diabetes, body mass index, and other covariates. RESULTS During a median 22.1 y of follow-up, we documented 176 primary liver cancer cases and 156 CLD mortality cases. EDIH was positively associated with incident liver cancer (HRQuartile 4 vs. Quartile 1 = 1.68; 95% CI: 1.00, 2.83; P-trend = 0.05) and CLD mortality (HRQ4 vs. Q1 = 2.28; 95% CI: 1.25, 4.15; P-trend = 0.02) in the multivariable model. EDIP was also positively associated with liver cancer (HRQ4 vs. Q1 = 1.88; 95% CI: 1.17, 3.03; P-trend = 0.009) and CLD mortality (HRQ4 vs. Q1 = 1.85; 95% CI: 1.09, 3.15; P-trend = 0.007). Estimates remained significant and robust in sensitivity analyses. Further analyses indicated positive associations for refined grains, processed meat, sugary beverages, and eggs, and inverse associations for coffee/tea and poultry. CONCLUSIONS Dietary insulinemic and inflammatory potentials were independently associated with higher risk of liver cancer and CLD mortality in U.S. postmenopausal women. These findings suggest a potential role for diet modification to reduce risk of liver cancer and CLD.
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Affiliation(s)
- Xinyuan Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Longgang Zhao
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Cami N Christopher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Fred K Tabung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, United States
| | - Wei Bao
- Institute of Public Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - David O Garcia
- Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Nazmus Saquib
- Department of Clinical Sciences, College of Medicine, Sulaiman AlRajhi University, Al Bukayriyah, Saudi Arabia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
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Ahmadirad H, Teymoori F, Nateghi R, Shabanian A, Mirmiran P. The Association of Empirical Dietary Index for Hyperinsulinemia with the Risk of Cancer and Cancer Mortality: A Meta-analysis of Observational Studies. Nutr Cancer 2023:1-14. [PMID: 37155247 DOI: 10.1080/01635581.2023.2189042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
This meta-analysis aimed to assess the association between the empirical dietary index for hyperinsulinemia (EDIH) and cancer mortality risk. We performed a comprehensive search across the online literature up to November 2022 databases. Then, hazard ratio (H.R.) and 95% confidence intervals (CI) were extracted. A total of 14 and seven cohort studies that reported H.R. for the risk of cancer incidence and cancer mortality respectively were included. The pooled H.R. (95% CI) of the association between EDIH and cancer incidence was 1.13 (1.05-1.23) in overall meta-analyses, 1.15 (1.08-1.22) in female subgroups, 1.27 (1.14-1.41) in digestive cancer subgroups, and 1.15 (1.07-1.24) in breast cancer subgroups. Also, the pooled H.R. (95% CI) of the association between EDIH and incidence of cancer mortality was 1.19 (1.13-1.26) in overall meta-analyses, 1.23 (1.13-1.34) in males, 1.18(1.10-1.28) in females, and 1.20 (1.13-1.27) in studies conducted on all cancers as an outcome. Our findings revealed that a higher EDIH was significantly associated with an increased risk of cancer incidence, particularly in females, digestive cancers, and breast cancer. Also, a higher EDIH score was related to a higher risk of cancer mortality overall in both male and female subgroups and with all cancers.
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Affiliation(s)
- Hamid Ahmadirad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Reyhane Nateghi
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arman Shabanian
- Department of Food Science and Technology, Faculty of Nutrition Science, Food Science and Technology/National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Zhou N, Xie ZP, Liu Q, Xu Y, Dai SC, Lu J, Weng JY, Wu LD. The dietary inflammatory index and its association with the prevalence of hypertension: A cross-sectional study. Front Immunol 2023; 13:1097228. [PMID: 36741368 PMCID: PMC9893776 DOI: 10.3389/fimmu.2022.1097228] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 12/20/2022] [Indexed: 01/21/2023] Open
Abstract
Aims We aim to investigate the association of the Dietary Inflammatory Index (DII) with the prevalence of hypertension in a large multiracial population in the United States. Methods Participants from the National Health and Nutrition Examination Survey (NHANES) (1999-2018) were included in this cross-sectional study. Dietary information was obtained and used to calculate DII. Blood pressures of participants were measured by experienced examiners. The NHANES used the method of "stratified multistage probability sampling," and this study is a weight analysis following the NHANES analytic guidance. Weight logistic regression analysis was adopted to investigate the association of hypertension with DII. Least Absolute Shrinkage and Selection Operator (LASSO) regression was carried out to screen the most important dietary factors associated with the risk of hypertension. Moreover, a nomogram model based on key dietary factors was established; the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic power of the nomogram model for screening hypertension risk. Results A total of 45,023 participants were included in this study, representing 191 million residents in the United States. Participants with hypertension had an elevated DII compared with those without hypertension. Weight logistic regression showed that an increment of DII was strongly associated with hypertension after adjusting for confounding factors. The nomogram model, based on key dietary factors screened by LASSO regression, showed a favorable discriminatory power with an area under the curve (AUC) of 78.5% (95% CI: 78.5%-79.3%). Results of the sensitivity analysis excluding participants who received any drug treatment were consistent with those in the main analysis. Conclusion An increment of DII is associated with the risk of hypertension. For better prevention and treatment of hypertension, more attention should be paid to controlling dietary inflammation.
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Affiliation(s)
- Nan Zhou
- Health Examination Center, Huadong Sanatorium, Wuxi, China
| | - Zhi-Ping Xie
- Health Examination Center, Huadong Sanatorium, Wuxi, China
| | - Qing Liu
- Health Examination Center, Huadong Sanatorium, Wuxi, China
| | - Yun Xu
- Department of Anesthesiology, Huadong Sanatorium, Wuxi, China
| | - Si-Cheng Dai
- Health Examination Center, Huadong Sanatorium, Wuxi, China
| | - Juan Lu
- Department of Anesthesiology, Huadong Sanatorium, Wuxi, China,*Correspondence: Juan Lu, ; Li-Da Wu, ; Jia-Yi Weng,
| | - Jia-Yi Weng
- Department of Cardiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China,*Correspondence: Juan Lu, ; Li-Da Wu, ; Jia-Yi Weng,
| | - Li-Da Wu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China,*Correspondence: Juan Lu, ; Li-Da Wu, ; Jia-Yi Weng,
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Langlais CS, Graff RE, Van Blarigan EL, Kenfield SA, Neuhaus J, Tabung FK, Cowan JE, Broering JM, Carroll P, Chan JM. Postdiagnostic Inflammatory, Hyperinsulinemic, and Insulin-Resistant Diets and Lifestyles and the Risk of Prostate Cancer Progression and Mortality. Cancer Epidemiol Biomarkers Prev 2022; 31:1760-1768. [PMID: 35767977 PMCID: PMC9444922 DOI: 10.1158/1055-9965.epi-22-0147] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/14/2022] [Accepted: 06/23/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Inflammatory and insulin pathways have been linked to prostate cancer; postdiagnostic behaviors activating these pathways may lead to poor outcomes. The empirical dietary inflammatory pattern (EDIP), empirical dietary index for hyperinsulinemia (EDIH), and empirical dietary index for insulin resistance (EDIR), and associated lifestyle indices (ELIH, ELIR) predict biomarkers of inflammation (EDIP: IL6, TNFaR2, CRP) and insulin secretion (EDIH/ELIH: c-peptide; EDIR/ELIR: TAG:HDL) from whole foods and behaviors. METHODS Associations of these indices with time to prostate cancer progression (primary, n = 2,056) and prostate cancer-specific mortality (PCSM; secondary, n = 2,447) were estimated among men diagnosed with nonmetastatic prostate cancer in the Cancer of the Prostate Strategic Urologic Research Endeavor cohort diet and lifestyle sub-study. Because the true (versus clinically documented) date of progression is unobserved, we used parametric (Weibull) survival models to accommodate interval-censoringand estimated adjusted HR and 95% confidence intervals (CI) for prostate cancer progression per 1-SD increase in index. Cox proportional hazards models were used to estimate PCSM associations. RESULTS During a median [interquartile range (IQR)] 6.4 years (IQR, 1.3-12.7), 192 progression and 73 PCSM events were observed. Inflammatory (EDIP: HR, 1.27; CI, 1.17-1.37), hyperinsulinemic (EDIH: HR, 1.24; CI, 1.05-1.46. ELIH: HR, 1.34; CI, 1.17-1.54), and insulin-resistant (EDIR: HR, 1.22; CI, 1.00-1.48. ELIR: HR, 1.36; CI, 1.12-1.64) indices were positively associated with risk of prostate cancer progression. There was no evidence of associations between the indices and PCSM. CONCLUSIONS Both inflammatory and insulinemic dietary and lifestyle patterns are associated with risk of prostate cancer progression. IMPACT For men with prostate cancer, consuming dietary patterns that limit chronic systemic inflammation and insulin hypersecretion may improve survivorship, especially when coupled with active lifestyle and healthy body weight. See related commentary by Kucuk, p. 1673.
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Affiliation(s)
- Crystal S. Langlais
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca E. Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Erin L. Van Blarigan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA,Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Stacey A. Kenfield
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA,Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Fred K. Tabung
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, United States
| | - Janet E. Cowan
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Jeanette M. Broering
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Peter Carroll
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA,Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - June M. Chan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA,Department of Urology, University of California, San Francisco, San Francisco, CA, USA
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7
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Peila R, Coday M, Crane TE, Saquib N, Shadyab AH, Tabung FK, Zhang X, Wactawski-Wende J, Rohan TE. Healthy lifestyle index and risk of pancreatic cancer in the Women's Health Initiative. Cancer Causes Control 2022; 33:737-747. [PMID: 35235084 PMCID: PMC10286627 DOI: 10.1007/s10552-022-01558-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/01/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE Lifestyle factors such as smoking, alcohol, body weight, physical activity, and diet quality have been associated with the risk of pancreatic cancer. However, studies of their combined association in women are limited. METHODS Data on smoking habits, alcohol intake, diet composition, recreational physical activity, body weight, and waist circumference, obtained at recruitment for 136,945 postmenopausal women (aged 50-79 years) participating in the Women's Health Initiative study, were categorized separately, with higher scores for each variable assigned to the categories representing healthier behaviors. The combined healthy lifestyle index (HLI) score, created by summing the scores for each risk factor, was grouped into quartiles. We used multivariable-adjusted Cox regression to estimate hazard ratios (HR) and 95% confidence intervals (CI) for pancreatic cancer risk in association with the HLI. RESULTS Over an average follow-up period of approximately 16.0 years, 1,119 incident cases of pancreatic cancer were ascertained. Compared to women in the lowest HLI quartile, those in the upper quartiles (qt) had a reduced risk of pancreatic cancer (multivariable-adjusted HRqt3rd 0.83, 95% CI 0.74-0.99; and HRqt4th 0.74, 95% CI 0.62-0.88, respectively, p trend = 0.001). Use of waist circumference instead of BMI in the HLI score yielded similar results. Among women who were either non-diabetic or non-smokers, high HLI was also associated with reduced risk (HRqt4th 0.78, 95% CI 0.65-0.85 and HRqt4th 0.80, 95% CI 0.66-0.97, respectively). Stratification by BMI categories (18.5- < 25.0, 25.0- < 30.0 and > 30.0 kg/m2) showed similar results in all groups. CONCLUSIONS Our findings suggest that in postmenopausal women, a healthy lifestyle is associated with reduced risk of pancreatic cancer.
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Affiliation(s)
- Rita Peila
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
| | - Mace Coday
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Tracy E Crane
- Behavioral Measurement and Interventions Cancer Prevention and Control Program, University of Arizona, Tucson, AZ, USA
| | - Nazmus Saquib
- College of Medicine at Sulaiman, Al Rajhi University, Al Bukayriyah, Saudi Arabia
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Fred K Tabung
- Internal Medicine, Division of Medical Oncology, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, USA
| | - Xiaochen Zhang
- Division of Epidemiology, College of Public Health, Comprehensive Cancer Center, Ohio State University, Columbus, OH, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health, University of Buffalo, Buffalo, NY, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
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Duan X, Wang W, Pan Q, Guo L. Type 2 Diabetes Mellitus Intersects With Pancreatic Cancer Diagnosis and Development. Front Oncol 2021; 11:730038. [PMID: 34485159 PMCID: PMC8415500 DOI: 10.3389/fonc.2021.730038] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/30/2021] [Indexed: 12/12/2022] Open
Abstract
The relationship between type 2 diabetes mellitus (T2DM) and pancreatic cancer (PC) is complex. Diabetes is a known risk factor for PC, and new-onset diabetes (NOD) could be an early manifestation of PC that may be facilitate the early diagnosis of PC. Metformin offers a clear benefit of inhibiting PC, whereas insulin therapy may increase the risk of PC development. No evidence has shown that novel hypoglycemic drugs help or prevent PC. In this review, the effects of T2DM on PC development are summarized, and novel strategies for the prevention and treatment of T2DM and PC are discussed.
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Affiliation(s)
- Xiaoye Duan
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Weihao Wang
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Pan
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lixin Guo
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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