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Wang R, Liu Y, Thabane L, Olier I, Li L, Ortega-Martorell S, Lip GYH, Li G. Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study. Nutr J 2024; 23:15. [PMID: 38302934 PMCID: PMC10835921 DOI: 10.1186/s12937-024-00925-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 01/30/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND The association between dietary iron intake and the risk of type 2 diabetes mellitus (T2DM) remains inconsistent. In this study, we aimed to investigate the relationship between trajectories of dietary iron intake and risk of T2DM. METHODS This study comprised a total of 61,115 participants without a prior T2DM from the UK Biobank database. We used the group-based trajectory model (GBTM) to identify different dietary iron intake trajectories. Cox proportional hazards models were used to evaluate the relationship between trajectories of dietary iron intake and risk of T2DM. RESULTS During a mean follow-up of 4.8 years, a total of 677 T2DM events were observed. Four trajectory groups of dietary iron intake were characterized by the GBTM: trajectory group 1 (with a mean dietary iron intake of 10.9 mg/day), 2 (12.3 mg/day), 3 (14.1 mg/day) and 4 (17.6 mg/day). Trajectory group 3 was significantly associated with a 38% decreased risk of T2DM when compared with trajectory group 1 (hazard ratio [HR] = 0.62, 95% confidence interval [CI]: 0.49-0.79), while group 4 was significantly related with a 30% risk reduction (HR = 0.70, 95% CI: 0.54-0.91). Significant effect modifications by obesity (p = 0.04) and history of cardiovascular disease (p < 0.01) were found to the relationship between trajectories of dietary iron intake and the risk of T2DM. CONCLUSIONS We found that trajectories of dietary iron intake were significantly associated with the risk of T2DM, where the lowest T2DM risk was observed in trajectory group 3 with a mean iron intake of 14.1 mg/day. These findings may highlight the importance of adequate dietary iron intake to the T2DM prevention from a public health perspective. Further studies to assess the relationship between dietary iron intake and risk of T2DM are needed, as well as intervention studies to mitigate the risks of T2DM associated with dietary iron changes.
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Affiliation(s)
- Ruoting Wang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, 510317, China
| | - Yingxin Liu
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, 510317, China
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L8, Canada
| | - Ivan Olier
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, UK
| | - Likang Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, 510317, China
| | - Sandra Ortega-Martorell
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, UK
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Danish Center for Health Services Research, Aalborg University, Aalborg, Denmark
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, 510317, China.
- Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L8, Canada.
- Father Sean O'Sullivan Research Centre, St Joseph's Healthcare Hamilton, 50 Charlton Ave E, Hamilton, ON, L8N 4A6, Canada.
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Wei Q, Zhou J, Li H, Wang L, Wu Y, Ma A, Guan X. Medication adherence with fixed-dose versus free-equivalent combination therapies: Systematic review and meta-analysis. Front Pharmacol 2023; 14:1156081. [PMID: 37033611 PMCID: PMC10074603 DOI: 10.3389/fphar.2023.1156081] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
Objective: We conducted a large-scale meta-analysis and subgroup analysis to compare the effect of fixed-dose combination (FDC) therapy with that of free-equivalent combination (FEC) therapy on medication adherence. Methods: Studies published in Web of Science, PubMed, Cochrane Library, ScienceDirect, and Embase up to May 2022 were identified according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The primary assessed outcomes were the medication possession ratio (MPR) and proportion of days covered (PDC). We investigated the probability of being adherent to the prescribed treatment (MPR or PDC ≥80%) or the average estimate of these two parameters. Studies reporting such results were included in this meta-analysis. The summary measures were reported as the risk ratio (RR) and the weighted mean difference (MD) with 95% of confidence interval (CI) using the random-effects model of DerSimonian and Laird. The quality of the cohort studies was assessed using the Newcastle-Ottawa scale. Results: Of the 1,814 screened studies, 61 met the predefined inclusion criteria. The meta-analysis of the results showed that compared to FEC, FDC significantly improved the medication compliance of patients by 1.29 times (95% CI:1.23-1.35, p < 0.00001). I2 of 99% represent high heterogeneity across studies. The mean difference in medication adherence between FDC and FEC was 0.10 (95% CI: 0.06-0.14, p < 0.00001) with an I2 estimate of 100%. Subgroup analyses were performed for studies that reported adherence outcomes according to disease type, period of evaluation and compliance indicators. A sensitivity analysis was conducted to exclude the results of low-quality studies, as well as studies in which there was ambiguity in the method of calculating the estimator. Conclusion: Analysis of the assessed parameters for the intention-to-treat and subgroup populations suggests that FDC can improve adherence to treatment and its advantages over FEC may increase over time. Further research is needed to better understand how medical conditions affect the impact of reduced pill burden on adherence, particularly in diseases other than cardiovascular disease and type 2 diabetes mellitus.
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Affiliation(s)
- Qiran Wei
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Jiting Zhou
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Hongchao Li
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Luying Wang
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Yao Wu
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Aixia Ma
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
- *Correspondence: Aixia Ma, ; Xin Guan,
| | - Xin Guan
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China
- Center for Pharmacoeconomics and Outcomes Research of China Pharmaceutical University, Nanjing, Jiangsu, China
- *Correspondence: Aixia Ma, ; Xin Guan,
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