Skip to main content
Top
Published in: BMC Endocrine Disorders 1/2024

Open Access 01-12-2024 | Type 2 Diabetes | Research

Nutrient patterns and risk of diabetes mellitus type 2: a case-control study

Authors: Morteza haramshahi, Thoraya Mohamed Elhassan A-Elgadir, Hamid Mahmood Abdullah Daabo, Yahya Altinkaynak, Ahmed Hjazi, Archana Saxena, Mazin A.A. Najm, Abbas F. Almulla, Ali Alsaalamy, Mohammad Amin Kashani

Published in: BMC Endocrine Disorders | Issue 1/2024

Login to get access

Abstract

Backgrounds

Although the significance of diet in preventing or managing diabetes complications is highlighted in current literature, there is insufficient evidence regarding the correlation between nutrient patterns and these complications. The objective of this case-control study is to investigate this relationship by analyzing the dietary intake of nutrients in participants with and without type 2 diabetes (T2D).

Methods

A case-control study was conducted at the Tabriz Center of Metabolism and Endocrinology to investigate the relationship between nutrient patterns and type 2 diabetes (T2D). The study enrolled 225 newly diagnosed cases of T2D and 225 controls. The dietary intake of nutrients was assessed using a validated semi-quantitative food frequency questionnaire (FFQ). Principal component analysis using Varimax rotation was used to obtain nutrient patterns. Logistic regression analysis was performed to estimate the risk of T2D.

Results

The participants’ mean (SD) age and BMI were 39.8 (8.8) years and 27.8 (3.6) kg/m2, respectively. The results identified three major nutrient patterns. The first nutrient pattern was characterized by high consumption of sucrose, animal protein, vitamin E, vitamin B1, vitamin B12, calcium, phosphorus, zinc, and potassium. The second nutrient pattern included fiber, plant protein, vitamin D, Riboflavin, Vitamin B5, copper, and Magnesium. The third nutrient pattern was characterized by fiber, plant protein, vitamin A, riboflavin, vitamin C, calcium, and potassium. Individuals in the highest tertile of nutrient pattern 3 (NP3) had a lower risk of T2D compared to those in the lowest tertile after adjusting for confounders. The odds ratio was 0.52 with a 95% confidence interval of 0.30–0.89 and a P_trend of 0.039.

Conclusion

This study found that conforming to a nutrient pattern consisting of plant protein, vitamin C, vitamin A, vitamin B2, potassium, and calcium is linked to a lower likelihood of developing T2D.The initial results suggest that following a nutrient pattern that includes these nutrients may reduce the risk of T2D. However, further research is required to confirm the relationship between nutrient patterns and T2D.
Literature
1.
go back to reference Ogurtsova K, Guariguata L, Barengo NC, Ruiz PL-D, Sacre JW, Karuranga S, et al. IDF Diabetes Atlas: global estimates of undiagnosed diabetes in adults for 2021. Diabetes Res Clin Pract. 2022;183:109118.CrossRefPubMed Ogurtsova K, Guariguata L, Barengo NC, Ruiz PL-D, Sacre JW, Karuranga S, et al. IDF Diabetes Atlas: global estimates of undiagnosed diabetes in adults for 2021. Diabetes Res Clin Pract. 2022;183:109118.CrossRefPubMed
2.
go back to reference Teo ZL, Tham Y-C, Yu M, Chee ML, Rim TH, Cheung N, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology. 2021;128(11):1580–91.CrossRefPubMed Teo ZL, Tham Y-C, Yu M, Chee ML, Rim TH, Cheung N, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology. 2021;128(11):1580–91.CrossRefPubMed
3.
go back to reference Sugiyama T, Yanagisawa-Sugita A, Tanaka H, Ihana-Sugiyama N, Imai K, Ohsugi M, et al. Different incidences of diabetic retinopathy requiring treatment since diagnosis according to the course of diabetes diagnosis: a retrospective cohort study. Sci Rep. 2023;13(1):10527.CrossRefPubMedPubMedCentral Sugiyama T, Yanagisawa-Sugita A, Tanaka H, Ihana-Sugiyama N, Imai K, Ohsugi M, et al. Different incidences of diabetic retinopathy requiring treatment since diagnosis according to the course of diabetes diagnosis: a retrospective cohort study. Sci Rep. 2023;13(1):10527.CrossRefPubMedPubMedCentral
4.
go back to reference Hodge AM, English DR, O’Dea K, Giles GG. Dietary patterns and diabetes incidence in the Melbourne Collaborative Cohort Study. Am J Epidemiol. 2007;165(6):603–10.CrossRefPubMed Hodge AM, English DR, O’Dea K, Giles GG. Dietary patterns and diabetes incidence in the Melbourne Collaborative Cohort Study. Am J Epidemiol. 2007;165(6):603–10.CrossRefPubMed
5.
go back to reference Jannasch F, Kröger J, Schulze MB. Dietary patterns and type 2 diabetes: a systematic literature review and meta-analysis of prospective studies. J Nutr. 2017;147(6):1174–82.CrossRefPubMed Jannasch F, Kröger J, Schulze MB. Dietary patterns and type 2 diabetes: a systematic literature review and meta-analysis of prospective studies. J Nutr. 2017;147(6):1174–82.CrossRefPubMed
6.
go back to reference Sami W, Ansari T, Butt NS, Ab Hamid MR. Effect of diet on type 2 diabetes mellitus: a review. Int J Health Sci. 2017;11(2):65. Sami W, Ansari T, Butt NS, Ab Hamid MR. Effect of diet on type 2 diabetes mellitus: a review. Int J Health Sci. 2017;11(2):65.
7.
go back to reference Miller V, Micha R, Choi E, Karageorgou D, Webb P, Mozaffarian D. Evaluation of the quality of evidence of the association of foods and nutrients with cardiovascular disease and diabetes: a systematic review. JAMA Netw open. 2022;5(2):e2146705–e.CrossRefPubMedPubMedCentral Miller V, Micha R, Choi E, Karageorgou D, Webb P, Mozaffarian D. Evaluation of the quality of evidence of the association of foods and nutrients with cardiovascular disease and diabetes: a systematic review. JAMA Netw open. 2022;5(2):e2146705–e.CrossRefPubMedPubMedCentral
8.
go back to reference Salehi-Sahlabadi A, Teymoori F, Jabbari M, Momeni A, Mokari-Yamchi A, Sohouli M, et al. Dietary polyphenols and the odds of non-alcoholic fatty liver disease: a case-control study. Clin Nutr ESPEN. 2021;41:429–35.CrossRefPubMed Salehi-Sahlabadi A, Teymoori F, Jabbari M, Momeni A, Mokari-Yamchi A, Sohouli M, et al. Dietary polyphenols and the odds of non-alcoholic fatty liver disease: a case-control study. Clin Nutr ESPEN. 2021;41:429–35.CrossRefPubMed
9.
go back to reference Salehi-Abargouei A, Esmaillzadeh A, Azadbakht L, Keshteli AH, Feizi A, Feinle-Bisset C, et al. Nutrient patterns and their relation to general and abdominal obesity in Iranian adults: findings from the SEPAHAN study. Eur J Nutr. 2016;55:505–18.CrossRefPubMed Salehi-Abargouei A, Esmaillzadeh A, Azadbakht L, Keshteli AH, Feizi A, Feinle-Bisset C, et al. Nutrient patterns and their relation to general and abdominal obesity in Iranian adults: findings from the SEPAHAN study. Eur J Nutr. 2016;55:505–18.CrossRefPubMed
10.
go back to reference Panjeshahin A, Salehi-Abargouei A, Ghadiri-Anari A, Rasouli A, Hosseinzadeh M. The Association between nutrient patterns and polycystic ovary syndrome: a case-control study. J Nutr Food Secur. 2022. Panjeshahin A, Salehi-Abargouei A, Ghadiri-Anari A, Rasouli A, Hosseinzadeh M. The Association between nutrient patterns and polycystic ovary syndrome: a case-control study. J Nutr Food Secur. 2022.
11.
go back to reference Salehi-Sahlabadi A, Teymoori F, Ahmadirad H, Mokhtari E, Azadi M, Seraj SS, et al. Nutrient patterns and non-alcoholic fatty liver disease in Iranian Adul: a case-control study. Front Nutr. 2022;9:977403.CrossRefPubMedPubMedCentral Salehi-Sahlabadi A, Teymoori F, Ahmadirad H, Mokhtari E, Azadi M, Seraj SS, et al. Nutrient patterns and non-alcoholic fatty liver disease in Iranian Adul: a case-control study. Front Nutr. 2022;9:977403.CrossRefPubMedPubMedCentral
12.
go back to reference Fereidani SS, Eini-Zinab H, Heidari Z, Jalali S, Sedaghat F, Rashidkhani B. Nutrient patterns and risk of breast cancer among Iranian women: a case-control study. Asian Pac J cancer Prevention: APJCP. 2018;19(9):2619. Fereidani SS, Eini-Zinab H, Heidari Z, Jalali S, Sedaghat F, Rashidkhani B. Nutrient patterns and risk of breast cancer among Iranian women: a case-control study. Asian Pac J cancer Prevention: APJCP. 2018;19(9):2619.
13.
go back to reference Narmcheshm S, Sasanfar B, Hadji M, Zendehdel K, Toorang F, Azadbakht L. Patterns of nutrient intake in relation to gastric cancer: a case control study. Nutr Cancer. 2022;74(3):830–9.CrossRefPubMed Narmcheshm S, Sasanfar B, Hadji M, Zendehdel K, Toorang F, Azadbakht L. Patterns of nutrient intake in relation to gastric cancer: a case control study. Nutr Cancer. 2022;74(3):830–9.CrossRefPubMed
14.
go back to reference Khayyatzadeh SS, Moohebati M, Mazidi M, Avan A, Tayefi M, Parizadeh SMR, et al. Nutrient patterns and their relationship to metabolic syndrome in Iranian adults. Eur J Clin Invest. 2016;46(10):840–52.CrossRefPubMed Khayyatzadeh SS, Moohebati M, Mazidi M, Avan A, Tayefi M, Parizadeh SMR, et al. Nutrient patterns and their relationship to metabolic syndrome in Iranian adults. Eur J Clin Invest. 2016;46(10):840–52.CrossRefPubMed
15.
go back to reference Teymoori F, Mokhtari E, Salehi P, Hosseini-Esfahani F, Mirmiran P, Azizi F. A nutrient pattern characterized by vitamin A, C, B6, potassium, and fructose is associated with reduced risk of insulin-related disorders: a prospective study among participants of Tehran lipid and glucose study. Diabetol Metab Syndr. 2021;13(1):12.CrossRefPubMedPubMedCentral Teymoori F, Mokhtari E, Salehi P, Hosseini-Esfahani F, Mirmiran P, Azizi F. A nutrient pattern characterized by vitamin A, C, B6, potassium, and fructose is associated with reduced risk of insulin-related disorders: a prospective study among participants of Tehran lipid and glucose study. Diabetol Metab Syndr. 2021;13(1):12.CrossRefPubMedPubMedCentral
16.
go back to reference Esmaillzadeh A, Azadbakht L. Major dietary patterns in relation to general obesity and central adiposity among Iranian women. J Nutr. 2008;138(2):358–63.CrossRefPubMed Esmaillzadeh A, Azadbakht L. Major dietary patterns in relation to general obesity and central adiposity among Iranian women. J Nutr. 2008;138(2):358–63.CrossRefPubMed
17.
go back to reference Wang J, Thornton JC, Bari S, Williamson B, Gallagher D, Heymsfield SB, et al. Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003;77(2):379–84.CrossRefPubMed Wang J, Thornton JC, Bari S, Williamson B, Gallagher D, Heymsfield SB, et al. Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003;77(2):379–84.CrossRefPubMed
19.
go back to reference Mandalazi E, Drake I, Wirfält E, Orho-Melander M, Sonestedt E. A high diet quality based on dietary recommendations is not associated with lower incidence of type 2 diabetes in the Malmö Diet and Cancer Cohort. Int J Mol Sci. 2016;17(6):901.CrossRefPubMedPubMedCentral Mandalazi E, Drake I, Wirfält E, Orho-Melander M, Sonestedt E. A high diet quality based on dietary recommendations is not associated with lower incidence of type 2 diabetes in the Malmö Diet and Cancer Cohort. Int J Mol Sci. 2016;17(6):901.CrossRefPubMedPubMedCentral
20.
21.
go back to reference Chikowore T, Pisa PT, Van Zyl T, Feskens EJ, Wentzel-Viljoen E, Conradie KR. Nutrient patterns associated with fasting glucose and glycated haemoglobin levels in a black South African population. Nutrients. 2017;9(1):9.CrossRefPubMedPubMedCentral Chikowore T, Pisa PT, Van Zyl T, Feskens EJ, Wentzel-Viljoen E, Conradie KR. Nutrient patterns associated with fasting glucose and glycated haemoglobin levels in a black South African population. Nutrients. 2017;9(1):9.CrossRefPubMedPubMedCentral
22.
go back to reference Iwasaki Y, Arisawa K, Katsuura-Kamano S, Uemura H, Tsukamoto M, Kadomatsu Y, et al. Associations of nutrient patterns with the prevalence of metabolic syndrome: results from the baseline data of the Japan multi-institutional collaborative cohort study. Nutrients. 2019;11(5):990.CrossRefPubMedPubMedCentral Iwasaki Y, Arisawa K, Katsuura-Kamano S, Uemura H, Tsukamoto M, Kadomatsu Y, et al. Associations of nutrient patterns with the prevalence of metabolic syndrome: results from the baseline data of the Japan multi-institutional collaborative cohort study. Nutrients. 2019;11(5):990.CrossRefPubMedPubMedCentral
23.
go back to reference Sadeghi O, Sadeghi A, Mozaffari-Khosravi H, Shokri A. The association between nutrient patterns and metabolic syndrome among Iranian adults: cross-sectional analysis of Shahedieh cohort study. Public Health Nutr. 2021;24(11):3379–88.CrossRefPubMed Sadeghi O, Sadeghi A, Mozaffari-Khosravi H, Shokri A. The association between nutrient patterns and metabolic syndrome among Iranian adults: cross-sectional analysis of Shahedieh cohort study. Public Health Nutr. 2021;24(11):3379–88.CrossRefPubMed
24.
go back to reference Mottaghian M, Salehi P, Teymoori F, Mirmiran P, Hosseini-Esfahani F, Azizi F. Nutrient patterns and cardiometabolic risk factors among Iranian adults: Tehran lipid and glucose study. BMC Public Health. 2020;20:1–12.CrossRef Mottaghian M, Salehi P, Teymoori F, Mirmiran P, Hosseini-Esfahani F, Azizi F. Nutrient patterns and cardiometabolic risk factors among Iranian adults: Tehran lipid and glucose study. BMC Public Health. 2020;20:1–12.CrossRef
25.
go back to reference Teymoori F, Mokhtari E, Salehi P, Hosseini-Esfahani F, Mirmiran P, Azizi F. A nutrient pattern characterized by vitamin A, C, B6, potassium, and fructose is associated with reduced risk of insulin-related disorders: a prospective study among participants of Tehran lipid and glucose study. Diabetol Metab Syndr. 2021;13(1):1–13.CrossRef Teymoori F, Mokhtari E, Salehi P, Hosseini-Esfahani F, Mirmiran P, Azizi F. A nutrient pattern characterized by vitamin A, C, B6, potassium, and fructose is associated with reduced risk of insulin-related disorders: a prospective study among participants of Tehran lipid and glucose study. Diabetol Metab Syndr. 2021;13(1):1–13.CrossRef
26.
go back to reference Halvorsen RE, Elvestad M, Molin M, Aune D. Fruit and vegetable consumption and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis of prospective studies. BMJ Nutr Prev Health. 2021;4(2):519.CrossRefPubMedPubMedCentral Halvorsen RE, Elvestad M, Molin M, Aune D. Fruit and vegetable consumption and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis of prospective studies. BMJ Nutr Prev Health. 2021;4(2):519.CrossRefPubMedPubMedCentral
27.
go back to reference Mollahosseini M, Daneshzad E, Rahimi MH, Yekaninejad MS, Maghbooli Z, Mirzaei K. The association between fruit and vegetable intake and liver enzymes (aspartate and alanine transaminases) in Tehran, Iran. Ethiop J Health Sci. 2017;27(4):401–10.CrossRefPubMedPubMedCentral Mollahosseini M, Daneshzad E, Rahimi MH, Yekaninejad MS, Maghbooli Z, Mirzaei K. The association between fruit and vegetable intake and liver enzymes (aspartate and alanine transaminases) in Tehran, Iran. Ethiop J Health Sci. 2017;27(4):401–10.CrossRefPubMedPubMedCentral
28.
go back to reference Plaz Torres MC, Bodini G, Furnari M, Marabotto E, Zentilin P, Giannini EG. Nuts and non-alcoholic fatty liver disease: are nuts safe for patients with fatty liver disease? Nutrients. 2020;12(11):3363.CrossRefPubMedPubMedCentral Plaz Torres MC, Bodini G, Furnari M, Marabotto E, Zentilin P, Giannini EG. Nuts and non-alcoholic fatty liver disease: are nuts safe for patients with fatty liver disease? Nutrients. 2020;12(11):3363.CrossRefPubMedPubMedCentral
29.
go back to reference Lee M, Lim M, Kim J. Fruit and vegetable consumption and the metabolic syndrome: a systematic review and dose–response meta-analysis. Br J Nutr. 2019;122(7):723–33.CrossRefPubMed Lee M, Lim M, Kim J. Fruit and vegetable consumption and the metabolic syndrome: a systematic review and dose–response meta-analysis. Br J Nutr. 2019;122(7):723–33.CrossRefPubMed
30.
go back to reference Muley A, Fernandez R, Ellwood L, Muley P, Shah M. Effect of tree nuts on glycemic outcomes in adults with type 2 diabetes mellitus: a systematic review. JBI Evid Synthesis. 2021;19(5):966–1002.CrossRef Muley A, Fernandez R, Ellwood L, Muley P, Shah M. Effect of tree nuts on glycemic outcomes in adults with type 2 diabetes mellitus: a systematic review. JBI Evid Synthesis. 2021;19(5):966–1002.CrossRef
31.
go back to reference Beigrezaei S, Ghiasvand R, Feizi A, Iraj B. Relationship between dietary patterns and incidence of type 2 diabetes. Int J Prev Med. 2019;10. Beigrezaei S, Ghiasvand R, Feizi A, Iraj B. Relationship between dietary patterns and incidence of type 2 diabetes. Int J Prev Med. 2019;10.
32.
33.
go back to reference Iqbal S, Naseem I. Role of vitamin A in type 2 diabetes mellitus biology: effects of intervention therapy in a deficient state. Nutrition. 2015;31(7–8):901–7.CrossRefPubMed Iqbal S, Naseem I. Role of vitamin A in type 2 diabetes mellitus biology: effects of intervention therapy in a deficient state. Nutrition. 2015;31(7–8):901–7.CrossRefPubMed
34.
go back to reference Viguiliouk E, Stewart SE, Jayalath VH, Ng AP, Mirrahimi A, De Souza RJ, et al. Effect of replacing animal protein with plant protein on glycemic control in diabetes: a systematic review and meta-analysis of randomized controlled trials. Nutrients. 2015;7(12):9804–24.CrossRefPubMedPubMedCentral Viguiliouk E, Stewart SE, Jayalath VH, Ng AP, Mirrahimi A, De Souza RJ, et al. Effect of replacing animal protein with plant protein on glycemic control in diabetes: a systematic review and meta-analysis of randomized controlled trials. Nutrients. 2015;7(12):9804–24.CrossRefPubMedPubMedCentral
35.
go back to reference Wang PY, Fang JC, Gao ZH, Zhang C, Xie SY. Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: a meta-analysis. J Diabetes Invest. 2016;7(1):56–69.CrossRef Wang PY, Fang JC, Gao ZH, Zhang C, Xie SY. Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: a meta-analysis. J Diabetes Invest. 2016;7(1):56–69.CrossRef
36.
go back to reference Cai X, Li X, Fan W, Yu W, Wang S, Li Z, et al. Potassium and obesity/metabolic syndrome: a systematic review and meta-analysis of the epidemiological evidence. Nutrients. 2016;8(4):183.CrossRefPubMedPubMedCentral Cai X, Li X, Fan W, Yu W, Wang S, Li Z, et al. Potassium and obesity/metabolic syndrome: a systematic review and meta-analysis of the epidemiological evidence. Nutrients. 2016;8(4):183.CrossRefPubMedPubMedCentral
37.
go back to reference van Dam RM, Rimm EB, Willett WC, Stampfer MJ, Hu FB. Dietary patterns and risk for type 2 diabetes mellitus in US men. Ann Intern Med. 2002;136(3):201–9.CrossRefPubMed van Dam RM, Rimm EB, Willett WC, Stampfer MJ, Hu FB. Dietary patterns and risk for type 2 diabetes mellitus in US men. Ann Intern Med. 2002;136(3):201–9.CrossRefPubMed
38.
go back to reference Fung TT, Schulze M, Manson JE, Willett WC, Hu FB. Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med. 2004;164(20):2235–40.CrossRefPubMed Fung TT, Schulze M, Manson JE, Willett WC, Hu FB. Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med. 2004;164(20):2235–40.CrossRefPubMed
39.
go back to reference Wheeler ML, Dunbar SA, Jaacks LM, Karmally W, Mayer-Davis EJ, Wylie-Rosett J, et al. Macronutrients, Food groups, and eating patterns in the management of diabetes: a systematic review of the literature, 2010. Diabetes Care. 2012;35(2):434–45.CrossRefPubMedPubMedCentral Wheeler ML, Dunbar SA, Jaacks LM, Karmally W, Mayer-Davis EJ, Wylie-Rosett J, et al. Macronutrients, Food groups, and eating patterns in the management of diabetes: a systematic review of the literature, 2010. Diabetes Care. 2012;35(2):434–45.CrossRefPubMedPubMedCentral
40.
go back to reference Dwibedi C, Mellergård E, Gyllensten AC, Nilsson K, Axelsson AS, Bäckman M, et al. Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes. Npj Digit Med. 2022;5(1):60.CrossRefPubMedPubMedCentral Dwibedi C, Mellergård E, Gyllensten AC, Nilsson K, Axelsson AS, Bäckman M, et al. Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes. Npj Digit Med. 2022;5(1):60.CrossRefPubMedPubMedCentral
41.
go back to reference Santulli G, Pascale V, Finelli R, Visco V, Giannotti R, Massari A, et al. We are what we eat: impact of food from short supply chain on metabolic syndrome. J Clin Med. 2019;8(12):2061.CrossRefPubMedPubMedCentral Santulli G, Pascale V, Finelli R, Visco V, Giannotti R, Massari A, et al. We are what we eat: impact of food from short supply chain on metabolic syndrome. J Clin Med. 2019;8(12):2061.CrossRefPubMedPubMedCentral
42.
go back to reference De Rosa M, Giannotti R, Pascale A, Finelli R, Ilario M, Ciccarelli M, et al. P6280 food of short supply chain impacts metabolism and cardiovascular risk. A survey in Southern Italy. Eur Heart J. 2018;39(suppl1):ehy566. P6280. De Rosa M, Giannotti R, Pascale A, Finelli R, Ilario M, Ciccarelli M, et al. P6280 food of short supply chain impacts metabolism and cardiovascular risk. A survey in Southern Italy. Eur Heart J. 2018;39(suppl1):ehy566. P6280.
Metadata
Title
Nutrient patterns and risk of diabetes mellitus type 2: a case-control study
Authors
Morteza haramshahi
Thoraya Mohamed Elhassan A-Elgadir
Hamid Mahmood Abdullah Daabo
Yahya Altinkaynak
Ahmed Hjazi
Archana Saxena
Mazin A.A. Najm
Abbas F. Almulla
Ali Alsaalamy
Mohammad Amin Kashani
Publication date
01-12-2024
Publisher
BioMed Central
Keyword
Type 2 Diabetes
Published in
BMC Endocrine Disorders / Issue 1/2024
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/s12902-024-01540-5

Other articles of this Issue 1/2024

BMC Endocrine Disorders 1/2024 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.