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Polyunsaturated fatty acid intake and incidence of type 2 diabetes in adults: a dose response meta-analysis of cohort studies

Abstract

Background

To evaluate the association and dose–response relationship between polyunsaturated fatty acid (PUFA) intake and incidence of type 2 diabetes (T2D) in adults.

Methods

PubMed, Embase, Cochrane Library, and Web of Science databases were searched for cohort studies that examined the association between PUFA and T2D incidence published up to September 6, 2021. Relative risk (RR) or hazard ratio (HR) was used as the effect indicator, each effect size was expressed by 95% confidence interval (CI). The presence of heterogeneity of effect size between studies was assessed by the Q-test and I2 statistics. If I2 ≥ 50%, the random-effects model was applied, otherwise the fixed effects model was used. Sensitivity analysis was performed for all models. Potential publication bias was assessed. We conducted linear and nonlinear dose–response meta-analyses, calculated summary relative risk (SRR).

Results

Twenty-five articles were selected including 54,000 patients in this study. Our estimates observed no linear associations between total PUFA and the incidence of T2D. However, the summary dose–response curve of T2D risk increased in a nonlinear pattern with the consumption of omega-3 PUFA (Pnonlinearity < 0.001) and docosahexaenoic acid (DHA) (Pnonlinearity = 0.040). Our subgroup analysis showed that total PUFA intake was associated with increased incidence of T2D in Europe (RR: 1.040, 95% CI 1.009 to 1.072), and Australia (RR: 1.188, 95% CI 1.113 to 1.269). However, total PUFA intake was associated with decreased T2D incidence in Asia (RR: 0.897, 95% CI 0.860 to 0.936). Subgroup analysis based on PUFA types showed that DHA intake was associated with decreased T2D incidence (RR: 1.164, 95% CI 1.048 to 1.294) while linoleic acid (LA) decreased T2D incidence (RR: 0.956, 95% CI 0.930 to 0.983). Regarding the sex subgroup, women’s intake of total PUFA would increase the risk of T2D (RR: 1.049, 95% CI 1.019 to 1.079) while total PUFA intake decreased the risk of T2D in men (RR: 0.955, 95% CI 0.913 to 0.999).

Conclusion

For specific PUFA, dose–response curves show nonlinear significant associations between PUFA intakes and T2D. It may be necessary to pay attention to the effects of PUFA and type of intake on T2D.

Trial registration Not applicable

Background

Type 2 diabetes (T2D) accounts for 90–95% of all diabetes cases and is a complex metabolic disorder characterized by insufficient insulin secretion and hyperglycemia caused by insulin resistance (IR) [1, 2]. It is estimated that the global prevalence of T2D will increase from 171 million people in 2000 to 366 million people in 2030 [3], which will have a devastating effect on overall health [4]. T2D increases the risk for diabetes-related complications, including cardiovascular disease, nephropathy, retinopathy, microangiopathy [5], and premature death [6], and thus contributes to high healthcare costs [7]. Thereby, it may be necessary to understand the factors associated with T2D incidence for preventing and reducing adverse outcomes of T2D.

Epidemiological and clinical trial evidence demonstrates that diet plays a major role in preventing or developing T2D [4, 8, 9]. Currently, a diet low in total and animal fats and high in plant fats was recommended to prevent T2D [7]. A previous study showed that a diet rich in unsaturated fatty acid (UFA), such as the Mediterranean dietary pattern, may prevent the development of T2D [10]. Polyunsaturated fatty acid (PUFA) is a classification of UFA that contains two or more double bonds [11], which has been recommended to prevent T2D by the American Diabetes Association [12]. Evidence from a review demonstrates that PUFA has a protective effect on T2D development [13]. Omega-3 PUFA has been shown to decrease the production of inflammatory mediators, decreasing the development of T2D [14]. Omega-6 PUFA, but not omega-3 PUFA was reported to improve insulin sensitivity in a meta-analysis [15]. Specific PUFA may differ in their health effects, the association between the type of PUFA intake and the incidence of T2D merit further evaluation. Besides, from China Health and Nutrition Survey, low and moderate marine omega-3 PUFA consumption was associated with higher T2D risk whereas high marine omega-3 PUFA consumption was not associated with T2D risk [16]. Whether there is a relationship between PUFA intake at different doses and the incidence of T2D and what kind of relationship also needs to be clarified.

Herein, the objective of this study was to evaluate the association and the dose–response relationship of T2D and PUFA intake. In addition, a subgroup analysis concerning gender, geographic locations, duration of follow-up, and PUFA classifications was performed in this study to further explore the association between PUFA intake and the incidence of T2D in adults.

Methods

Search strategy

Published data for this meta-analysis were identified by search and selection in PubMed, Embase, Cochrane Library, and Web of Science databases from inception to September 6, 2021. Search strategy keywords included “Acids, Unsaturated Fatty” OR “Unsaturated Fatty Acids” OR “Unsaturated Fatty Acid” OR “Acid, Unsaturated Fatty” OR “Fatty Acid, Unsaturated” OR “Polyunsaturated Fatty Acids” OR “Acids, Polyunsaturated Fatty” OR “Fatty Acids, Polyunsaturated” OR “Polyunsaturated Fatty Acid” OR “Acid, Polyunsaturated Fatty” OR “Fatty Acid, Polyunsaturated” OR “Fatty Acid” OR “Fatty Acids, Esterified” OR “Esterified Fatty Acids” OR “Esterified Fatty Acid” OR “Acid, Esterified Fatty” AND “T2DM” OR “type 2 diabetes mellitus” OR “type 2 diabetes” OR “T2D”. The detailed search strategy from PubMed is listed in Additional file 1.

Eligibility criteria

Studies were included if they met the following criteria: (1) individuals who consume PUFA; (2) individuals ≥ 18 years old; (3) cohort studies that reported the association between intake of PUFA and the incidence of T2D (The T2D diagnosis was self-reported diabetes or fasting glucose); (4) studies reported a hazard ratio (HR) or relative risk (RR) with a 95% confidence interval (CI); (5) studied published in English; (6) latest research results of the same author.

Exclusion criteria were as follows: (1) animal experiments; (2) randomized controlled trials (RCTs); (3) reviews and meta-analyses, conference articles, and letters.

Data extraction

Data extraction was independently performed by Mingyuan Hu and Zhengmei Fang. If a discrepancy existed, a third party (Tao Zhang) would participate in the extraction of data. The extracted information included the last name of the first author, year of publication, the country where the study was conducted, duration of follow-up, number of participants, sex, age, the total number of participants, T2D assessment, exposure, PUFA intake per category, adjusted risk estimates expressed as HR, or RR with 95% CIs and adjustment factors.

Risk of bias assessment

The Risk of bias in non-randomized studies of interventions (ROBINS-I) assessment tool [17] was used to evaluate the methodological quality of the included studies. The scale includes seven aspects: bias due to confounding, bias due to selection of participants, bias due to exposure assessment, bias due to misclassification during follow-up, bias due to missing data, bias due to measurement of results, and bias due to selective reporting of results. The overall risk of bias of each paper was categorized into “Low”, “Moderate”, and “Serious”.

Statistical analysis

RR or HR was used as the effect indicator, each effect size was expressed by 95% CIs. The presence of heterogeneity of effect size between studies was assessed by the Q-test and I2 statistics. If I2 ≥ 50%, the random-effects model was applied, otherwise the fixed effects model was used. Models were stratified by sex, geographic location (United States, Europe, Australia, Asia), duration of follow-up (< 10 years and ≥ 10 years), and exposures of PUFA types [PUFA, omega-3, omega-6, alpha-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), EPA in combination with DHA, linoleic acid (LA), arachidonic acid (AA)] to perform the subgroup analysis. Sensitivity analysis was performed to test whether each single study could influence the stability of the results. Potential publication bias was assessed by Begg’s test. When publication bias occurred, the “cut-and-fill method” was adopted to adjust publication bias.

A linear and nonlinear trend of the dose–response relation was estimated. Each study’s specific slope (linear trend) and its standard error were calculated from the RR /HR of PUFA intake and relevant natural logarithms. Then meta-regression and restricted maximum likelihood (REML) of random effects were used to estimate the synthetically study-specific slope. The nonlinear dose–response relationship between PUFA intake and the incidence of T2D was evaluated using binary random-effects meta-regression and REML estimation. The method of restricted cubic splines with three knots at percentiles 10%, 50%, and 90% of the distribution was adopted using the generalized least-square model to synthesize the research results of two specific trends. We tested for potential nonlinearity using quadratic splines.

All analyses were performed using Stata 15.1 software (Stata Corporation, College Station, TX, USA). And P < 0.05 was considered to be statistically significant.

Results

Literature search and study characteristics

A total of 7617 articles were identified through databases searching, of which 6282 were duplicated articles. After title/abstract review, 54 records were selected. Finally, 25 articles [16, 18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41] including 54,000 patients met the established inclusion criteria and were enrolled in this study. The literature search strategy of included studies is depicted in Fig. 1. There were 10 studies from the USA, 7 studies from Europe, 6 studies from Asia, and 2 studies from Australia. The characteristics of these studies are presented in Table 1. And the risk of bias assessment of included studies is shown in Table 2.

Fig. 1
figure 1

The literature search strategy of included studies

Table 1 Characteristics of included studies
Table 2 Risk of bias in non-randomized studies of interventions quality assessment

PUFA intake and incidence of T2D

A total of 25 articles were included to assess the association between PUFA intake and the incidence of T2D. The heterogeneity test showed that I2 = 68.2%, so the random-effect model was used for analysis. The result demonstrated that total PUFA intake could not be considered to be associated with the development of T2D (RR: 1.012, 95% CI 0.992 to 1.032, P = 0.246) (Table 3).

Table 3 Overall results and sensitivity analysis

Based on sex subgroup, consumption of total PUFA would increase the incidence of T2D among women (I2 = 77.1%, RR: 1.049, 95% CI 1.019 to 1.079, P = 0.001), while decreasing the incidence of T2D among men (I2 = 62.2%, RR: 0.955, 95% CI 0.913 to 0.999, P = 0.044) (Table 3).

When concerning geographic location, total PUFA intake was associated with increased incidence of T2D in Europe (I2 = 54.8%, RR: 1.040, 95% CI 1.009 to 1.072, P = 0.012), and Australia (I2 = 0.0%, RR: 1.188, 95% CI 1.113 to 1.269, P < 0.001). However, total PUFA intake decreased the incidence of T2D in Asia (I2 = 45.4%, RR: 0.897, 95% CI 0.860 to 0.936, P < 0.001) (Table 3).

Subgroup analysis based on the duration of follow-up indicated that there was no association between total PUFA intake and T2D when the duration of follow-up was < 10 years (I2 = 38.4%, RR: 0.999, 95% CI 0.968 to 1.031, P = 0.942), and ≥ 10 years (I2 = 79.2%, RR: 1.016, 95% CI 0.991 to 1.042, P = 0.200) (Table 3).

Subgroup analysis based on PUFA types indicated that no association with T2D incidence for omega-3 PUFA (I2 = 69.0%, RR: 1.028, 95% CI 0.987 to 1.070, P = 0.183), omega-6 PUFA (I2 = 60.7%, RR: 0.985, 95% CI 0.942 to 1.030, P = 0.511), ALA (I2 = 59.2%, RR: 1.003, 95% CI 0.966 to 1.041, P = 0.887), EPA (I2 = 64.9%, RR: 1.078, 95% CI 0.965 to 1.203, P = 0.183), and AA (I2 = 92.5%, RR: 1.286, 95% CI 0.964 to 1.716, P = 0.087). Consumption of DHA was associated with T2D incidence (I2 = 61.4%, RR: 1.164, 95% CI 1.048 to 1.294, P = 0.005). However, lower T2D incidence was observed with LA intake (I2 = 40.4%, RR: 0.956, 95% CI 0.930 to 0.983, P = 0.001) (Table 3).

Dose–response relationship between PUFA and incidence of T2D

We observed no linear associations between PUFA and the incidence of T2D. Thus, we summarized the non-linear dose–response of different types of PUFA to the incidence of T2D. The dose–response relationship showed an increasing nonlinear trend as the accumulated omega-3 PUFA intake increased (Pnonlinearity < 0.001) (Fig. 2a) while there were no significant nonlinear associations between total PUFA, omega-6 PUFA, ALA, LA intakes and T2D incidence. When EPA intake was between 110 and 150 mg/d, an increasing nonlinear trend of T2D incidence was observed (Pnonlinearity = 0.023), after which the curve decreased slightly, remaining close to no association (Fig. 2b). The T2D risk was highest when DHA intake was 200–300 mg/d, and the dose–response association was statistically significant (Pnonlinearity = 0.040) (Fig. 2c).

Fig. 2
figure 2

Diagram of nonlinear dose response association between PUFA and incidence of T2D; a omega-3 PUFA; b EPA; c DHA. a Pnonlinearity < 0.001; b Pnonlinearity = 0.023; c Pnonlinearity = 0.040

Sensitivity analysis and publication bias

Our sensitivity analysis suggested the stability of the result, indicating our findings are robust (Table 3). Begg’s test result showed that there was a publication bias in this study, so the “cut-and-fill method” was adopted to adjust the bias and effect size. The combined prevalence of the random effect model before the “cut-and-fill method” was 1.012 (95% CI 0.992 to 1.032). The estimated number of missing studies was 7. Then, all the studies were re-meta-analyzed after the studies with missing estimates were included. After the “cut-and-fill method”, the combined prevalence of the random effect model was 0.903 (95% CI 0.785 to 1.038) (Fig. 3).

Fig. 3
figure 3

Begg’s funnel plot of publication bias; a unadjusted; b adjusted. a RR = 1.012, 95% CI 0.992 to 1.032; b RR = 0.903, 95% CI 0.785 to 1.038

Discussion

The prevalence of T2D is rising sharply in nearly all nations in the world [42], which highlights the need for widespread preventive treatment. Of all the major guidelines, diet is the cornerstone of prevention and treatment [43]. Nevertheless, the association between PUFA and T2D incidence is inconclusive [5]. Thus, in this study, we estimated the associations and the dose–response relationship between the dose of PUFA intake and T2D development. We found that omega-3 PUFA and DHA intakes had nonlinear dose–response relationships with T2D incidence. Moreover, subgroup analysis suggested total PUFA intake was associated with increased incidence of T2D in Europe and Australia whereas it was associated with a decreased incidence in Asia. Regarding the type of PUFA, DHA intake was associated with an elevated T2D incidence, while LA was associated with a decreased incidence of T2D. Additionally, consumption of total PUFA would increase the incidence of T2D in women while decreasing the incidence of T2D in men. However, there was no linear association between PUFA intake and the incidence of T2D.

Omega fatty acids are PUFA with an acid end containing the functional carboxylic acid group and a methyl end, also known as the omega end. In omega-3 and omega-6 fatty acids, the first site of desaturation is located after the third and the sixth carbon from the omega end, respectively [44]. Omega-3 fatty acids are found in salmon, mackerel, and other cold-water fish, as well as flaxseed, walnuts, and canola oil [45]. DHA and EPA are long-chain omega-3 fatty acids that are present in fish oils, seafood, algae, and fortified foods, while ALA is derived from plant sources [37]. Our nonlinear dose–response meta-analysis indicated a significant association of increased T2D incidence with increasing omega-3 PUFA intake. A study [16] evaluating the current level of omega-3 PUFA intake and risk of T2D in China has found that intake of marine omega-3 PUFA was dose-dependently associated with higher T2D risk for both men and women. Dow et al. [22] found high omega-3 PUFA consumption was associated with T2D even after adjustment for confounders. The association between omega-3 PUFA and T2D risk may be due to the effects of mega-3 PUFA on blood glucose and insulin sensitivity. A high intake of omega-3 PUFA has been found to increase blood glucose and decrease insulin sensitivity [46]. In our dose–response analysis, further examination of the source of omega-3 PUFA revealed that a higher DHA intake was significantly associated with T2D incidence and the risk was highest when DHA intake reached 200–300 mg/d. Kaushik et al. examined the association between dietary omega-3 PUFA and incidence of T2D in 3 prospective cohorts of women and men [25], finding an increased risk of T2D with the intake of long-chain omega-3 PUFA (EPA and DHA) especially with higher intakes (200 mg/d). The result of our dose–response analysis indicates that the potentially detrimental effect of DHA or omega-3 PUFA intake threshold should be focused on and further studied.

LA is the predominant omega-6 PUFA [47] and accounts for 80–90% of total dietary PUFA, which was associated with a reduction in the incidence of T2D in this study. The protective effect of LA on insulin homeostasis has been well characterized [48]. In a consortium of 20 studies across ten countries, biomarker levels of LA were inversely associated with incident T2D; dietary PUFA (mostly LA) improved blood sugar, IR, and insulin secretion compared with carbohydrates, saturated fats, and even monounsaturated fats at some endpoints [49]. In the European Prospective Investigation into Cancer and Nutrition study, Forouhi et al. provided evidence of strong and significant inverse associations between T2D and LA; the risk decreased by 20% for every 1-standard deviation increased LA [50]. Based on U.S. data, Zong et al. provided additional evidence that LA intake was inversely associated with the risk of T2D [37]. Experimental evidence supports the biological plausibility of beneficial effects of omega-6 LA, on several mechanisms associated with insulin sensitivity and the development of T2D [51]. The incorporation of unsaturated fats improves cell membrane fluidity and function, such as glucose transporter (GLUT) translocation, insulin receptor binding and affinity, cell signal transduction, and ion permeability, which together improve insulin sensitivity [52].

We observed geographic differences regarding the association of T2D incidence and PUFA intake. An inverse association between long-chain omega-3 PUFA and T2D incidence was observed in the Asian population [7]. The protective association of omega-3 PUFA consumption with T2D was reported by the Japan Public Health Center-based Prospective Study in men and the Shanghai Women’s Health Study [33, 39]. Chen et al. and Wallin et al. concluded omega-3 PUFA intakes were related to lower T2D risk only in Asian but not North American or European populations [4, 53]. In Caucasians, cohort studies suggested an elevating T2D risk with the increase of fish and omega-3 PUFA intakes [20, 25]. The discrepancy in findings may be partly because an Asian population has different metabolic and lifestyle characteristics with T2D compared with the United States or European populations [54]. Western dietary patterns are characterized by high intake of sugar, red meat, and fried foods; The dietary pattern of Asians, especially The Chinese and Japanese, is also known as the prudent dietary pattern, which includes a high intake of fruits, vegetables, fish and tofu [36, 55]. These findings have important public health implications. The influence of genetic and gene–diet interactions on T2D in different populations needs to be further explored to understand the relationship between PUFA intake and T2D incidence.

We found that the consumption of total PUFA was associated with the risk of an increasing T2D in women while the consumption of total PUFA was associated with the risk of a decreasing incidence of T2D in men. However, there was no linear association between PUFA intake and the incidence of T2D. In a cohort of Australian women from the Australian Longitudinal Study of Women’s Health, total omega-3 PUFA, ALA, and total omega-6 PUFA intakes were positively associated with the incidence of T2D among women [18]. A cross-sectional study in China demonstrated that higher omega n-6 PUFA status may be protective against the risk of T2D in men [56]. In a prospective cohort comprising only 2189 middle-aged and older Finnish men, Yary et al. found that omega-6 PUFA was inversely associated with T2D in men but not in women [57]. Males and females differ in their levels of diabetes risk, which may attribute to the clear sex-specific disparities in dietary intake habits, which lead to varying PUFA profiles [58]. Sex differences may also be attributed to differences in the distribution and function of different adipose tissue depots in men and women [59].

This study is a detailed assessment of PUFA intake and T2D, including different classifications of PUFA, sex, duration of follow-up. The large sample size of the included studies makes this study more powerful to examine the associations between PUFA intake and T2D than any individual study. Besides, we further examined the linear and nonlinear association of PUFA intake and T2D incidence. However, potential limitations to this study should also be considered. Heterogeneity and potential publication bias may influence the result of this meta-analysis. The extent to which PUFA from different sources affects T2D development remains unknown. In our study, it is not clear whether the source of PUFA intake is food or supplements, and the relationship between source of PUFA and T2D needs to be elucidated in the future.

Conclusions

In this study, omega-3 PUFA and DHA intakes had nonlinear dose–response associations with T2D incidence. PUFA was likely to have different effects on T2D incidence. In addition, regional and sex differences in the relationship between T2D and PUFA were also observed.

Abbreviations

T2D:

Type 2 diabetes

PUFA:

Polyunsaturated fatty acid

RR:

Relative risk

HR:

Hazard ratio

CI:

Confidence interval

DHA:

Docosahexaenoic acid

LA:

Linoleic acid

IR:

Insulin resistance

UFA:

Unsaturated fatty acid

RCTs:

Randomized controlled trials

ROBINS-I:

Risk of bias in non-randomized studies of interventions

ALA:

Alpha-linolenic acid

EPA:

Eicosapentaenoic acid

AA:

Arachidonic acid

REML:

Restricted maximum likelihood

References

  1. E Almanza-Aguilera Á Hernáez D Corella A Sanllorente E Ros O Portolés 2020 Cancer signaling transcriptome is upregulated in type 2 diabetes mellitus J Clin Med 10 85

    Article  PubMed Central  Google Scholar 

  2. X Zhong Z Chen Q Chen W Zhao Z Chen 2019 Novel site-specific fatty chain-modified GLP-1 receptor agonist with potent antidiabetic effects Molecules 24 779

    Article  PubMed Central  Google Scholar 

  3. P Golpour M Nourbakhsh M Mazaherioun L Janani M Nourbakhsh P Yaghmaei 2020 Improvement of NRF2 gene expression and antioxidant status in patients with type 2 diabetes mellitus after supplementation with omega-3 polyunsaturated fatty acids: a double-blind randomised placebo-controlled clinical trial Diabetes Res Clin Pract 162 108120

    Article  CAS  PubMed  Google Scholar 

  4. C Chen Y Yang X Yu S Hu S Shao 2017 Association between omega-3 fatty acids consumption and the risk of type 2 diabetes: a meta-analysis of cohort studies J Diabetes Investig 8 4 480 488

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. A Angi F Chiarelli 2020 Obesity and diabetes: a sword of damocles for future generations Biomedicines 8 478

    Article  CAS  PubMed Central  Google Scholar 

  6. Collaborators GBDCoD 2017 Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016 Lancet (Lond, Engl) 390 1151 1210

    Article  Google Scholar 

  7. M Neuenschwander J Barbaresko CR Pischke N Iser J Beckhaus L Schwingshackl 2020 Intake of dietary fats and fatty acids and the incidence of type 2 diabetes: a systematic review and dose-response meta-analysis of prospective observational studies PLoS Med 17 e1003347

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. M McMacken S Shah 2017 A plant-based diet for the prevention and treatment of type 2 diabetes J Geriatr Cardiol 14 342 354

    CAS  PubMed  PubMed Central  Google Scholar 

  9. VH Telle-Hansen L Gaundal MCW Myhrstad 2019 Polyunsaturated fatty acids and glycemic control in type 2 diabetes Nutrients 11 1067

    Article  CAS  PubMed Central  Google Scholar 

  10. HE Billingsley S Carbone CJ Lavie 2018 Dietary fats and chronic noncommunicable diseases Nutrients 10 1385

    Article  PubMed Central  Google Scholar 

  11. JR Silva B Burger CMC Kühl T Candreva MBP Anjos Dos HG Rodrigues 2018 Wound healing and omega-6 fatty acids: from inflammation to repair Mediators Inflamm 2018 2503950

    Article  PubMed  PubMed Central  Google Scholar 

  12. TJ Brown J Brainard F Song X Wang A Abdelhamid L Hooper 2019 Omega-3, omega-6, and total dietary polyunsaturated fat for prevention and treatment of type 2 diabetes mellitus: systematic review and meta-analysis of randomised controlled trials BMJ 366 l4697

    Article  PubMed  PubMed Central  Google Scholar 

  13. GD Carrasquilla H Jakupović TO Kilpeläinen 2019 Dietary fat and the genetic risk of type 2 diabetes Curr Diab Rep 19 109

    Article  CAS  PubMed  Google Scholar 

  14. E Tortosa-Caparrós D Navas-Carrillo F Marín E Orenes-Piñero 2017 Anti-inflammatory effects of omega 3 and omega 6 polyunsaturated fatty acids in cardiovascular disease and metabolic syndrome Crit Rev Food Sci Nutr 57 3421 3429

    Article  PubMed  Google Scholar 

  15. U Schwab L Lauritzen T Tholstrup T Haldorssoni U Riserus M Uusitupa 2014 Effect of the amount and type of dietary fat on cardiometabolic risk factors and risk of developing type 2 diabetes, cardiovascular diseases, and cancer: a systematic review Food Nutr Res 58 25145

    Article  Google Scholar 

  16. Y Zhang P Zhuang L Mao X Chen J Wang L Cheng 2019 Current level of fish and omega-3 fatty acid intakes and risk of Type 2 diabetes in China J Nutr Biochem 74 108249

    Article  CAS  PubMed  Google Scholar 

  17. JA Sterne MA Hernán BC Reeves J Savović ND Berkman M Viswanathan 2016 ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions BMJ 355 i4919

    Article  PubMed  PubMed Central  Google Scholar 

  18. A Alhazmi E Stojanovski M McEvoy ML Garg 2014 Macronutrient intake and type 2 diabetes risk in middle-aged Australian women. Results from the Australian Longitudinal Study on Women's Health Public Health Nutr 17 1587 1594

    Article  PubMed  Google Scholar 

  19. DP Brostow AO Odegaard WP Koh S Duval MD Gross JM Yuan 2011 Omega-3 fatty acids and incident type 2 diabetes: the Singapore Chinese Health Study Am J Clin Nutr 94 520 526

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. L Djoussé JM Gaziano JE Buring IM Lee 2011 Dietary omega-3 fatty acids and fish consumption and risk of type 2 diabetes Am J Clin Nutr 93 143 150

    Article  PubMed  Google Scholar 

  21. L Djoussé ML Biggs RN Lemaitre IB King X Song JH Ix 2011 Plasma omega-3 fatty acids and incident diabetes in older adults Am J Clin Nutr 94 527 533

    Article  PubMed  PubMed Central  Google Scholar 

  22. C Dow M Mangin B Balkau A Affret MC Boutron-Ruault F Clavel-Chapelon 2016 Fatty acid consumption and incident type 2 diabetes: an 18-year follow-up in the female E3N (Etude Epidémiologique auprès des femmes de la Mutuelle Générale de l'Education Nationale) prospective cohort study Br J Nutr 116 1807 1815

    Article  CAS  Google Scholar 

  23. U Ericson S Hellstrand L Brunkwall CA Schulz E Sonestedt P Wallström 2015 Food sources of fat may clarify the inconsistent role of dietary fat intake for incidence of type 2 diabetes Am J Clin Nutr 101 1065 1080

    Article  CAS  PubMed  Google Scholar 

  24. M Guasch-Ferré N Becerra-Tomás M Ruiz-Canela D Corella H Schröder R Estruch 2017 Total and subtypes of dietary fat intake and risk of type 2 diabetes mellitus in the Prevención con Dieta Mediterránea (PREDIMED) study Am J Clin Nutr 105 723 735

    Article  PubMed  Google Scholar 

  25. M Kaushik D Mozaffarian D Spiegelman JE Manson WC Willett FB Hu 2009 Long-chain omega-3 fatty acids, fish intake, and the risk of type 2 diabetes mellitus Am J Clin Nutr 90 613 620

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. J Kröger V Zietemann C Enzenbach C Weikert EH Jansen F Döring 2011 Erythrocyte membrane phospholipid fatty acids, desaturase activity, and dietary fatty acids in relation to risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study Am J Clin Nutr 93 127 142

    Article  PubMed  Google Scholar 

  27. KA Meyer LH Kushi DR Jacobs Jr AR Folsom 2001 Dietary fat and incidence of type 2 diabetes in older Iowa women Diabetes Care 24 1528 1535

    Article  CAS  PubMed  Google Scholar 

  28. J Salmerón A Ascherio EB Rimm GA Colditz D Spiegelman DJ Jenkins 1997 Dietary fiber, glycemic load, and risk of NIDDM in men Diabetes Care 20 545 550

    Article  PubMed  Google Scholar 

  29. J Salmerón FB Hu JE Manson MJ Stampfer GA Colditz EB Rimm 2001 Dietary fat intake and risk of type 2 diabetes in women Am J Clin Nutr 73 1019 1026

    Article  PubMed  Google Scholar 

  30. Y Song JE Manson JE Buring S Liu 2004 A prospective study of red meat consumption and type 2 diabetes in middle-aged and elderly women: the women's health study Diabetes Care 27 2108 2115

    Article  CAS  PubMed  Google Scholar 

  31. RM Dam van WC Willett EB Rimm MJ Stampfer FB Hu 2002 Dietary fat and meat intake in relation to risk of type 2 diabetes in men Diabetes Care 25 417 424

    Article  PubMed  Google Scholar 

  32. GJ Woudenbergh van AJ Ballegooijen van A Kuijsten EJ Sijbrands FJ Rooij van JM Geleijnse 2009 Eating fish and risk of type 2 diabetes: a population-based, prospective follow-up study Diabetes Care 32 2021 2026

    Article  PubMed  PubMed Central  Google Scholar 

  33. R Villegas YB Xiang T Elasy HL Li G Yang H Cai 2011 Fish, shellfish, and long-chain n-3 fatty acid consumption and risk of incident type 2 diabetes in middle-aged Chinese men and women Am J Clin Nutr 94 543 551

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. JK Virtanen J Mursu S Voutilainen M Uusitupa TP Tuomainen 2014 Serum omega-3 polyunsaturated fatty acids and risk of incident type 2 diabetes in men: the Kuopio Ischemic Heart Disease Risk Factor study Diabetes Care 37 189 196

    Article  CAS  PubMed  Google Scholar 

  35. Q Wang F Imamura W Ma M Wang RN Lemaitre IB King 2015 Circulating and dietary trans fatty acids and incident type 2 diabetes in older adults: the Cardiovascular Health Study Diabetes Care 38 1099 1107

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. JS Zheng JS Lin HL Dong FF Zeng D Li Y Song 2019 Association of erythrocyte n-3 polyunsaturated fatty acids with incident type 2 diabetes in a Chinese population Clin Nutr 38 2195 2201

    Article  CAS  PubMed  Google Scholar 

  37. G Zong G Liu WC Willett AJ Wanders M Alssema PL Zock 2019 Associations between linoleic acid intake and incident type 2 diabetes among U.S. men and women Diabetes Care 42 1406 1413

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. AM Hodge DR English K O'Dea AJ Sinclair M Makrides RA Gibson 2007 Plasma phospholipid and dietary fatty acids as predictors of type 2 diabetes: interpreting the role of linoleic acid Am J Clin Nutr 86 189 197

    Article  CAS  PubMed  Google Scholar 

  39. A Nanri T Mizoue M Noda Y Takahashi Y Matsushita K Poudel-Tandukar 2011 Fish intake and type 2 diabetes in Japanese men and women: the Japan Public Health Center-based Prospective Study Am J Clin Nutr 94 884 891

    Article  CAS  PubMed  Google Scholar 

  40. P Mirmiran S Esfandyari SK Moghadam Z Bahadoran F Azizi 2018 Fatty acid quality and quantity of diet and risk of type 2 diabetes in adults: Tehran Lipid and Glucose Study J Diabetes Complicat 32 655 659

    Article  Google Scholar 

  41. J Øyen AL Brantsæter OJ Nøstbakken KI Birkeland M Haugen L Madsen 2021 Intakes of fish and long-chain n-3 polyunsaturated fatty acid supplements during pregnancy and subsequent risk of type 2 diabetes in a large prospective cohort study of Norwegian women Diabetes Care 44 2337 2345

    Article  PubMed Central  Google Scholar 

  42. NCD Risk Factor Collaboration (NCD-RisC) 2016 Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants Lancet (Lond, Engl) 387 1513 1530

    Article  Google Scholar 

  43. AB Evert JL Boucher M Cypress SA Dunbar MJ Franz EJ Mayer-Davis 2013 Nutrition therapy recommendations for the management of adults with diabetes Diabetes Care 36 3821 3842

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. AP Simopoulos 2002 The importance of the ratio of omega-6/omega-3 essential fatty acids Biomed Pharmacother 56 365 379

    Article  CAS  PubMed  Google Scholar 

  45. N Siriwardhana NS Kalupahana N Moustaid-Moussa 2012 Health benefits of n-3 polyunsaturated fatty acids: eicosapentaenoic acid and docosahexaenoic acid Adv Food Nutr Res 65 211 222

    Article  PubMed  Google Scholar 

  46. L Djoussé SC Hunt W Tang JH Eckfeldt MA Province RC Ellison 2006 Dietary linolenic acid and fasting glucose and insulin: the National Heart, Lung, and Blood Institute Family Heart Study Obesity (Silver Spring) 14 295 300

    Article  Google Scholar 

  47. XM Wang Y Gao JG Eriksson W Chen YS Chong KH Tan 2021 Metabolic signatures in the conversion from gestational diabetes mellitus to postpartum abnormal glucose metabolism: a pilot study in Asian women Sci Rep 11 16435

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Z Miao JS Lin Y Mao GD Chen FF Zeng HL Dong 2020 Erythrocyte n-6 polyunsaturated fatty acids, gut microbiota, and incident type 2 diabetes: a prospective cohort study Diabetes Care 43 2435 2443

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. JHY Wu M Marklund F Imamura N Tintle AV Ardisson Korat J Goede de 2017 Omega-6 fatty acid biomarkers and incident type 2 diabetes: pooled analysis of individual-level data for 39 740 adults from 20 prospective cohort studies Lancet Diabetes Endocrinol 5 965 974

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. NG Forouhi F Imamura SJ Sharp A Koulman MB Schulze J Zheng 2016 Association of plasma phospholipid n-3 and n-6 polyunsaturated fatty acids with type 2 diabetes: the EPIC-InterAct case-cohort study PLoS Med 13 e1002094

    Article  PubMed  PubMed Central  Google Scholar 

  51. KC Maki F Eren ME Cassens MR Dicklin MH Davidson 2018 ω-6 Polyunsaturated fatty acids and cardiometabolic health: current evidence, controversies, and research gaps Adv Nutr (Bethesda, Md) 9 688 700

    Google Scholar 

  52. P Hernández-Alonso L Camacho-Barcia M Bulló J Salas-Salvadó 2017 Nuts and dried fruits: an update of their beneficial effects on type 2 diabetes Nutrients 9 673

    Article  PubMed Central  Google Scholar 

  53. A Wallin D Giuseppe Di N Orsini PS Patel NG Forouhi A Wolk 2012 Fish consumption, dietary long-chain n-3 fatty acids, and risk of type 2 diabetes: systematic review and meta-analysis of prospective studies Diabetes Care 35 918 929

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. JC Chan V Malik W Jia T Kadowaki CS Yajnik KH Yoon 2009 Diabetes in Asia: epidemiology, risk factors, and pathophysiology JAMA 301 2129 2140

    Article  CAS  PubMed  Google Scholar 

  55. JY Lee NR Jun D Yoon C Shin I Baik 2015 Association between dietary patterns in the remote past and telomere length Eur J Clin Nutr 69 1048 1052

    Article  PubMed  Google Scholar 

  56. Y Li H Shen Y Li M Bi Y Bi X Che 2021 Sex-specific differences in the associations between omega-6 polyunsaturated fatty acids and type 2 diabetes in Chinese people Front Nutr 8 739850

    Article  PubMed  PubMed Central  Google Scholar 

  57. T Yary S Voutilainen TP Tuomainen A Ruusunen T Nurmi JK Virtanen 2016 Serum n-6 polyunsaturated fatty acids, Δ5- and Δ6-desaturase activities, and risk of incident type 2 diabetes in men: the Kuopio Ischaemic Heart Disease Risk Factor Study Am J Clin Nutr 103 1337 1343

    Article  CAS  PubMed  Google Scholar 

  58. BT Steffen LM Steffen R Tracy D Siscovick D Jacobs K Liu 2012 Ethnicity, plasma phospholipid fatty acid composition and inflammatory/endothelial activation biomarkers in the Multi-Ethnic Study of Atherosclerosis (MESA) Eur J Clin Nutr 66 600 605

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. B Tramunt S Smati N Grandgeorge F Lenfant JF Arnal A Montagner 2020 Sex differences in metabolic regulation and diabetes susceptibility Diabetologia 63 453 461

    Article  PubMed  Google Scholar 

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Acknowledgements

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Funding

This study was supported by Young and Middle-aged Research Fund of Wannan Medical College (WK201902). Natural Science Foundation of Anhui Province (Youth Project) (1808085QH283).

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MH and YC designed the study. MH wrote the manuscript. ZF and TZ collected, analyzed and interpreted the data. YC critically reviewed, edited and approved the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yan Chen.

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Hu, M., Fang, Z., Zhang, T. et al. Polyunsaturated fatty acid intake and incidence of type 2 diabetes in adults: a dose response meta-analysis of cohort studies. Diabetol Metab Syndr 14, 34 (2022). https://doi.org/10.1186/s13098-022-00804-1

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