Findings from observational studies have suggested a possible association between dietary inflammatory index (DII) and risk of gestational diabetes mellitus (GDM) and preeclampsia (PE). However, the results of these studies were inconclusive. A systematic review and meta-analysis was carried out to illuminate this association. Systematic literature search was conducted in PubMed, Web of Science, Cochrane Library, EMBASE, Scopus and other databases from inception until January 2023. The qualities of included studies were assessed using the Newcastle–Ottawa scale. Nine studies (seven cohort, two case–control) were included in the meta-analysis, including 11 423 participants from five different countries. The meta-analysis indicated that a 1-unit increase in the DII score, representing pro-inflammatory diet, was associated with 13 % higher risk of GDM (OR = 1·13; 95 % CI 1·02, 1·25, I2 = 68·4 %, P = 0·004) and 24 % higher risk of PE (OR = 1·24; 95 % CI 1·14, 1·35, I2 = 52·0 %, P = 0·125). Subgroup analysis found that this association was evident among studies with Chinese populations (OR = 1·16; 95 % CI 1·06, 1·28) and studies with mid pregnancy (OR = 1·20; 95 % CI 1·07, 1·34). The findings indicate that pro-inflammatory diet can increase the risk of GDM and PE. Considering some limitations in this study, more studies are needed to verify this association.

Prebiotic fibre represents a promising and efficacious treatment to manage pre-diabetes, acting via complementary pathways involving the gut microbiome and viscosity-related properties. In this study, we evaluated the effect of using a diverse prebiotic fibre supplement on glycaemic, lipid and inflammatory biomarkers in patients with pre-diabetes. Sixty-six patients diagnosed with pre-diabetes (yet not receiving glucose-lowering medications) were randomised into treatment (thirty-three) and placebo (thirty-three) interventions. Participants in the treatment arm consumed 20 g/d of a diverse prebiotic fibre supplement, and participants in the placebo arm consumed 2 g/d of cellulose for 24 weeks. A total of fifty-one and forty-eight participants completed the week 16 and week 24 visits, respectively. The intervention was well tolerated, with a high average adherence rate across groups. Our results extend upon previous work, showing a significant change in glycated haemoglobin (HbA1c) in the treatment group but only in participants with lower baseline HbA1c levels (< 6 % HbA1c) (P = 0·05; treatment –0·17 ± 0·27 v. placebo 0·07 ± 0·29, mean ± sd). Within the whole cohort, we showed significant improvements in insulin sensitivity (P = 0·03; treatment 1·62 ± 5·79 v. placebo –0·77 ± 2·11) and C-reactive protein (PFWE = 0·03; treatment –2·02 ± 6·42 v. placebo 0·94 ± 2·28) in the treatment group compared with the placebo. Together, our results support the use of a diverse prebiotic fibre supplement for physiologically relevant biomarkers in pre-diabetes.

Previous studies on the association between fruit juice consumption and type 2 diabetes remain controversial, which might be due to heterogeneity in the polygenic risk score (PRS) for type 2 diabetes. We examined the association between fruit juice and type 2 diabetes by PRS for type 2 diabetes. We investigated whether fruit juice influences type 2 diabetes risk differently among individuals with varying genetic risks. Data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study, a cross-sectional study of 13 769 Japanese individuals was used for our analysis. The primary exposure was the frequency of fruit juice, categorised as do not drink, less than 1 cup per day or more than 1 cup per day. We selected PGS002379, a PRS for type 2 diabetes developed using East Asian populations. The primary outcome was physician-diagnosed type 2 diabetes, reported by participants. The consumption of fruit juice was significantly inversely associated with type 2 diabetes in the group with a high PRS for type 2 diabetes (OR: 0·78, 95 % CI: 0·65, 0·93 for < 1 cup/d and OR: 0·54, 95 % CI: 0·30, 0·96 for > 1/d), but this association was not observed in the low PRS group. Fruit juice consumption was inversely associated with type 2 diabetes, especially in genetically high-risk populations for type 2 diabetes.

Gestational diabetes is treated with medical nutrition therapy, delivered by healthcare professionals; however, the optimal diet for affected women is unknown. Randomised controlled trials, such as the DiGest (Dietary Intervention in Gestational Diabetes) trial, will address this knowledge gap, but the acceptability of whole-diet interventions in pregnancy is unclear. Whole-diet approaches reduce bias but require high levels of participant commitment and long intervention periods to generate meaningful clinical outcomes. We aimed to assess healthcare professionals’ views on the acceptability of the DiGest dietbox intervention for women with gestational diabetes and to identify any barriers to adherence which could be addressed to support good recruitment and retention to the DiGest trial. Female healthcare professionals (n 16) were randomly allocated to receive a DiGest dietbox containing 1200 or 2000 kcal/d including at least one weeks’ food. A semi-structured interview was conducted to explore participants’ experience of the intervention. Interviews were audio-recorded, transcribed verbatim and analysed thematically using NVivo software. Based on the findings of qualitative interviews, modifications were made to the dietboxes. Participants found the dietboxes convenient and enjoyed the variety and taste of the meals. Factors which facilitated adherence included participants having a good understanding of study aims and sufficient organisational skills to facilitate weekly meal planning in advance. Barriers to adherence included peer pressure during social occasions and feelings of deprivation or hunger (affecting both standard and reduced calorie groups). Healthcare professionals considered random allocation to a whole-diet replacement intervention to be acceptable and feasible in a clinical environment and offered benefits to participants including convenience.

Evidence regarding the association between dietary choline intake and mortality in individuals with diabetes remains limited. This study aimed to evaluate the relationship between dietary choline intake and all-cause, CVD and cancer-related mortality among adults with diabetes. A total of 4712 participants with diabetes were included from the National Health and Nutrition Examination Survey 2007–2018 cycles. Dietary choline intake was estimated using two 24-h dietary recalls, and mortality outcomes were ascertained via linkage to National Death Index records through 31 December 2019. Cox proportional hazards models and Kaplan-Meier analyses were employed to assess the associations between choline intake and mortality. Restricted cubic spline models were used to examine potential non-linear relationships, and threshold analyses were conducted to identify inflection points. Over a median follow-up of 6·42 years, 805 deaths were documented, including 267 from CVD and 126 from cancer. A U-shaped association was observed between dietary choline intake and all-cause mortality (Pfor non-linearity < 0·0001). Compared with the lowest quartile, multivariable-adjusted hazard ratios for all-cause mortality were 0·64 (95 % CI 0·47, 0·88) for the second quartile, 0·59 (0·43, 0·82) for the third and 0·69 (0·43, 1·09) for the highest quartile. No significant associations were found between choline intake and either CVD or cancer mortality. These findings indicate a U-shaped relationship between dietary choline intake and all-cause mortality in individuals with diabetes, with intakes between 286·77 and 538·86 mg/d associated with the lowest risk – providing potential implications for dietary guidance in diabetes management.

Type 2 diabetes (T2D) incidence has been steadily increasing over the past few decades. Several studies have evaluated the effect of plant-based, vegetarian or vegan diets on the risk of T2D, although their potential benefits need to be confirmed and characterised. We performed a literature search up to 10 July 2025, using the terms/keywords related to plant-based index (PDI), vegetarian/vegan diets and T2D. We included observational non-experimental studies evaluating adherence to such diets in adult subjects assessing T2D risk. We specifically considered overall PDI and related healthy PDI (hPDI) and unhealthy PDI (uPDI), assessing intake of different food groups. We included 36 studies published between 1999 and 2025. We found an inverse association between adherence to vegetarian/plant-based dietary patterns and T2D risk. This association was stronger, though statistically imprecise, for the vegan diet (RR = 0·65, 95 % CI 0·42, 1·00) and for lacto-ovo-vegetarian diet (RR = 0·68, 0·57, 0·82). For studies using plant-based indices, the RR were 0·82 (0·69, 0·82), 0·76 (0·69, 0·82) and 1·13 (0·98, 1·30) for overall PDI, hPDI and uPDI, respectively. In the dose–response meta-analysis, overall PDI and hPDI showed an inverse and almost linear association with T2D risk. Conversely, adherence to uPDI directly correlated with T2D risk. Overall, adherence to vegan/vegetarian diets may reduce T2D risk, while an unhealthy plant-based diet appears to linearly increase disease risk, indicating caution in the consumption of such unhealthy foods even if of plant origin. The beneficial association between vegetarian and healthy plant-based diets may have major public health implications.

Individuals with type 2 diabetes are at increased risk for developing CVD. We assessed how dietary counselling on a high-quality, fibre-rich diet influenced cardiometabolic health of patients with type 2 diabetes. In this 6-month trial, 121 patients with type 2 diabetes (67 (sd 8·7) years, 68 % men, BMI 27·8 kg/m2) were assigned to dietary counselling (n 61) or standard care (n 60). Counselling included 4–7 individual sessions with a dietitian, aimed at increasing fibre intake to improve diet quality. The primary outcome was a composite risk score estimating 10-year CVD risk. Secondary outcomes included diet quality, assessed by the Dutch Healthy Eating Index-2015 (DHD15-index), HbA1c, LDL-cholesterol, blood pressure, body weight and medication use. Diet quality score at baseline was 115 (sd 26) and similar across groups. Over 6 months, DHD15-index scores improved by 4·5 points (95 % CI: −0·2, 9·1) in the intervention group v. control, but not significant. The change in 10-year CVD risk across the 6 months of the trial (primary outcome) did not differ between groups −0·1 %, 95 % CI: −0·2, 0·1. Changes over time in HbA1c (–1·1 mmol/mol, 95 % CI: −4·4, 2·3), LDL-cholesterol (0·0 mmol/l, 95 % CI: −0·2, 0·3), blood pressure (–1 mmHg, 95 % CI: −6, 4), body weight (–0·1 kg, 95 % CI: −1·2, 1·1) or medication use did not differ between groups. Dietary counselling for 6 months slightly improved adherence to a high-quality, fibre-rich diet in patients with type 2 diabetes but did not significantly impact cardiometabolic health or medication use.

This study systematically evaluates the effects of probiotic interventions on gut microbiota and clinical outcomes in diabetic patients to determine the optimal target population and conditions for effective use, with an emphasis on precision treatment. A comprehensive search was performed across PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Internet (CNKI), and Wanfang databases until April 2024. Randomized controlled trials (RCTs) assessing probiotics as adjunctive therapy for diabetes were included. The control group received standard care, and the intervention group received probiotics alongside standard care. Data were managed with Endnote and Excel, and analyses were conducted using Revman 5.3 and Stata 16. Twelve RCTs involving 1113 participants were included. Probiotics significantly increased fecal Lactobacillus (standardized mean difference (SMD) 1.42, P < 0.0001, I2 = 95 %) and Bifidobacterium levels (SMD 1.27, P < 0.0001, I2; = 90 %) and reduced fasting plasma glucose (SMD −0.35, P = 0.004). Subgroup analysis showed that shorter intervention durations (≤ 3 months) improved FPG, HbA1c, and Bifidobacterium levels, while younger patients (≤ 60 years) experienced the most significant improvements in Bifidobacterium levels. In conclusion, probiotics improve gut microbiota and clinical outcomes in diabetic patients, with intervention duration and patient age as key factors influencing treatment effectiveness.

Systemic inflammation may contribute to the initiation and progression of type 2 diabetes mellitus (T2DM) through diet and lifestyle. We examined the association of dietary inflammation score (DIS), lifestyle inflammation score (LIS) and dietary and lifestyle inflammation score (DLIS) with T2DM and cardiometabolic risk factors among Iranian adults. In this study, we identified and recruited 619 patients with T2DM and 2113 without T2DM from 35 to 75 years old men and women in the baseline phase of the Sabzevar Persian Cohort Study. Using a validated 115-item semi-quantitative FFQ, we calculated a 19-component DIS and a 3-component LIS weighted by circulating inflammation biomarkers. The DIS, LIS and DLIS associations with diabetes were assessed by multivariable logistic regression analysis. The average age of the participants was 48·29 (sd 8·53) (without T2DM: 47·66 (sd 8·42); with T2DM: 50·44 (sd 8·57)). Individuals in the highest compared with the lowest tertiles of DLIS (OR: 3·40; 95 % CI 2·65, 4·35; Ptrend < 0·001), DIS (OR: 3·41; 95 % CI 2·66, 4·38; Ptrend < 0·001) and LIS (OR: 1·15; 95 % CI 0·90, 1·46; Ptrend = 0·521) had an increased risk of T2DM. For those in the highest relative to the lowest joint DIS and LIS tertiles, the results were OR: 3·37; 95 % CI 2·13, 5·32; Pinteraction < 0·001. No significant associations were found between DLIS and cardiometabolic risk factors, including blood pressure, liver enzymes and glycaemic and lipid profiles, except for waist circumference (P < 0·001) and waist-to-hip ratio (P = 0·010). A higher DIS and DLIS score was associated with a higher risk of T2DM, while the LIS score was not associated with T2DM risk.

There is a lack of information from Middle Eastern countries regarding diet–disease associations. We examined dietary glycaemic and insulinemic potential in relation to risk of incident diabetes among a large group of Iranian adults. The present study was carried out using data from Yazd Health Study-Taghzieh Mardom Yazd, a prospective cohort study on adults aged 20–70 years in Yazd Greater Area, Iran. This study was initiated in 2014–2016 (baseline examination), and data are collected prospectively at one 5-year intervals. Data on demographic characteristics, dietary intakes and potential confounders were gathered by interview. During the follow-up phase of the study, diabetes incidence was confirmed by laboratory tests and physician diagnoses. This study included a total of 6178 participants in the cross-sectional analysis and 5105 subjects in the prospective phase. Examining the cross-sectional phase, we failed to find any significant association between dietary glycaemic index (GI) and glycaemic load (GL) as well as dietary insulin index (DII) or dietary insulin load (DIL) and prevalence of diabetes. No significant relationship was also seen between DII/DIL and risk of T2DM in the prospective phase; however, in the stratified analysis by BMI status, there was an inverse significant association between DII and risk of type 2 diabetes mellitus (hazard ratio for T3 v. T1: 0·19; 95 % CI: 0·04, 0·92; P = 0·03) in non-obese (BMI ≥ 25 kg/m2) and overweight (BMI < 25 kg/m2) participants. No significant association was found between dietary GI/ dietary GL/ DII/ or DIL with risk of T2DM. More research, particularly with a longer follow-up duration, is needed to confirm these findings.

The study aim was to determine the prevalence of food addiction (FA) in individuals with type 2 diabetes and to assess the association between FA and type 2 diabetes. MEDLINE, EMBASE, Web of Sciences, Latin American and Caribbean Literature in Health Sciences, ScienceDirect, Scopus and PsycINFO were searched until November 2024. This study was registered with PROSPERO (CRD42023465903). Cross-sectional studies, case–control, cohorts and clinical trials that were carried out with individuals with type 2 diabetes, regardless of age and sex, were included. The complete data extracted included the prevalence, OR and/or risk ratio of FA, the number of individuals evaluated, age, sex, weight, presence of co-morbidities, age of participants and FA symptoms. A pooled prevalence of FA of 30 % (95 % CI (18, 44) with estimated predictive interval (0; 85); I2 = 99·51; 12 studies; 15 947 participants) was identified. For the associations between FA and type 2 diabetes, we found a grouped crude OR value of 2·35 (95 % CI (1·71, 2·98)). The pooled OR adjusted for age and sex was 2·60 (95 % CI (1·77, 3·42)). Finally, the OR adjusted for age, sex and BMI was 2·01 (95 % CI (1·39, 2·64)). The results of the meta-analyses showed a high prevalence of FA in individuals with type 2 diabetes and that the associations between these two conditions remained even after adjustment for age, sex and BMI, although with a high heterogeneity among individual estimates.

Red meat and processed meat intake has been linked to increased risk of type 2 diabetes; however, evidence from Asia is limited and inconsistent. We prospectively examined the association of intake of total meat and its subtype with type 2 diabetes in a Japanese working population. Participants were 2709 workers aged 18–78 years who reported no history of diabetes when they responded to a health survey for the first time between 2012 and 2019. Dietary intake was assessed using a validated self-administered diet history questionnaire. The incidence of type 2 diabetes was assessed via annual health checkups from baseline through March 2023. Type 2 diabetes was defined as fasting blood glucose ≥ 126 mg/dl, casual blood glucose ≥ 200 mg/dl, HbA1c ≥ 6·5 %, self-report of diabetes or current use of anti-diabetic drugs. Hazard ratios according to tertile of meat intake were estimated using Cox proportional hazards regression. During 16 119 person-years of follow-up, 135 (5·0 %) workers developed type 2 diabetes. Intakes of total meat, red meat, processed meat and poultry were not associated with risk of type 2 diabetes. After adjustment for covariates, hazard ratios for the highest v. lowest tertile of meat intake were 1·01 (95 % CI 0·63, 1·62) for total meat, 1·02 (95 % CI 0·66, 1·58) for red meat, 0·99 (95 % CI 0·65, 1·49) for processed meat and 1·13 (95 % CI 0·71, 1·80) for poultry. Our findings suggest that meat intake is not associated with the risk of type 2 diabetes among Japanese workers.

This study aimed to investigate the intake of dairy products during pregnancy in women with gestational diabetes mellitus (GDM) and its impacts on neonatal birth weight and pregnancy outcomes. A total of 386 women with GDM during the second trimester pregnancy participated in this prospective cohort study. We evaluated dairy products intake through the FFQ. Pregnancy outcomes were obtained from the delivery data. Participants were divided into insufficient and sufficient intake of milk and dairy products groups (< 300 g/d and ≥ 300 g/d, respectively). The average intake of dairy products during the second trimester pregnancy in women with GDM was 317·8 ± 179·5 g/d, and the total energy intake was 1635·4 ± 708·7 kcal/d. However, 76·68 % of them did not meet the recommended total energy intake of women with GDM. After adjusting for confounding factors, women with GDM who consumed ≥ 300 g/d of dairy products had an average reduction in birth weight of 93·1 g compared with women who consumed < 300 g/d of dairy products (95 % CI −171·343, −14·927). Women with GDM in sufficient intake group was also associated with lower risk of macrosomia (95 % CI 0·043, 0·695) and caesarean section (95 % CI 0·387, 0·933) and not related to low birth weight infant (95 % CI 0·617, 14·502) and preterm birth (95 % CI 0·186, 1·510) when compared with participants in insufficient intake group. Under the premise of insufficient total energy intake, the intake of dairy products during the second trimester pregnancy in women with GDM might be related to the decrease of neonatal birth weight.

Eating duration and shift work can both influence metabolic regulation, but their joint associations with diabetes are unknown. We aimed to examine the independent and joint associations of eating duration and shift work with diabetes in a cross-sectional study using a nationally representative sample of US workers. We included 14852 eligible participants from the National Health and Nutrition Examination Survey, 2005–2010 and 2017–2020. Eating duration was calculated based on first and last eating occasions from 24-h dietary recalls. Long eating duration (LED: ≥ 13 h) v. short eating duration (SED: < 13 h) was defined based on the median. Workers were classified as engaging in shift work (SW, n 5140) v. non-shift work (NSW, n 8945) based on self-report. Logistic regressions were used to examine the associations of LED and SW with diabetes, independently and jointly with stratification by age. LED was associated with higher odds of diabetes among workers aged < 45 years (OR, 1·51; 95 % CI, 1·05–2·19) but not among workers aged ≥ 45 years (OR, 0·98; 95 % CI, 0·79–1·20). SW was associated with higher odds of diabetes among both younger (OR, 1·28; 95 % CI, 0·88–1·85) and older workers (OR, 1·28; 95 % CI, 1·04–1·58). There was suggestive evidence that workers with both LED and SW had higher odds of diabetes compared with those with SED and NSW, but the association was stronger among younger (OR, 1·40; 95 % CI, 0·85–2·28) than older workers (OR, 1·28; 95 % CI, 0·99–1·66). LED and SW were independently associated with increased odds of diabetes with suggestive evidence on their joint associations, but associations varied by workers’ age.

The objective of this study was to evaluate the impact of incorporating group-based nutritional education into usual care on adherence to nutritional counselling among outpatients with type 2 diabetes (T2DM). This parallel-group, randomised controlled superiority trial was conducted with outpatients diagnosed with T2DM and poor glycaemic control. The control group received individual usual care, while the intervention group received usual care plus group-based nutritional education, which included three sessions: ‘Let’s Go Shopping,’ ‘Healthy Plate’ and ‘Hunger and Satiety.’ Baseline and four-month follow-up assessments were conducted, and outcome measures included adherence to nutritional counselling, glycaemic control, weight and physical activity. A total of 213 participants were included: 61·9 % were women, aged 60 years (interquartile range (IQR) = 53–65), 67·6 % with low socio-economic status, 67·3 % had obesity and the glycated Hb (HbA1c) was 9·3 % (IQR = 8·3–10·2 %). The intervention did not result in superior glycaemic control; however, short-term reductions in HbA1c were observed across all participants (–0·3 % (IQR = –0·7–0·3 %)). The intervention group demonstrated an increase in physical activity levels between visits (262 metabolic equivalent tasks (IQR = 99–257); P = 0·038), but no significant difference between the groups. Participants in the intervention group adhered to 67 % of combinations, compared with 50 % in the control group (P = 0·012), and adherence to the diabetes plate method was significantly higher in this group (75·9 % v. 62·2 %; P = 0·05). In conclusion, no significant between-group differences in glycaemic control were found, although both groups improved HbA1c short-term. Group-based nutritional education increased dietary adherence, particularly to the diabetes plate method and physical activity. Long-term effects on metabolic outcomes warrant further study.

Previous animal studies found beneficial effects of choline and betaine on maternal glucose metabolism during pregnancy, but few human studies explored the association between choline or betaine intake and incident gestational diabetes mellitus (GDM). We aimed to explore the correlation of dietary choline or betaine intake with GDM risk among Chinese pregnant women. A total of 168 pregnant women with GDM cases and 375 healthy controls were enrolled at the Seventh People’s Hospital in Shanghai during their GDM screening at 24–28 gestational weeks. A validated semi-quantitative FFQ was used to estimate choline and betaine consumption through face-to-face interviews. An unconditional logistic regression model was adopted to examine OR and 95 % CI. Compared with the controls, those women with GDM incidence were likely to have higher pre-pregnancy BMI, be older, have more parities and have higher plasma TAG and lower plasma HDL-cholesterol. No significant correlation was observed between the consumption of choline or betaine and incident GDM (adjusted OR (95 % CI), 0·77 (0·41, 1·43) for choline; 0·80 (0·42, 1·52) for betaine). However, there was a significant interaction between betaine intake and parity on the risk of GDM (Pfor interaction = 0·01). Among those women with no parity history, there was a significantly inverse correlation between betaine intake and GDM risk (adjusted OR (95 % CI), 0·25 (0·06, 0·81)). These findings indicated that higher dietary betaine intake during pregnancy might be considered a protective factor for GDM among Chinese women with no parity history.

This study aimed to understand the potassium voltage-gated channel KQT-like subfamily, member 1 gene polymorphism in a rural elderly population in a county in Guangxi and to explore the possible relationship between its gene polymorphism and blood sugar. The 6 SNP loci of blood DNA samples from 4355 individuals were typed using the imLDRTM Multiple SNP Typing Kit from Shanghai Tianhao Biotechnology Co. The data combining epidemiological information (baseline questionnaire and physical examination results) and genotyping results were statistically analyzed using GMDR0.9 software and SPSS22.0 software. A total of 4355 elderly people aged 60 years and above were surveyed in this survey, and the total abnormal rate of glucose metabolism was 16·11 % (699/4355). Among them, male:female ratio was 1:1·48; the age group of 60–69 years old accounted for the highest proportion, with 2337 people, accounting for 53·66 % (2337/4355). The results of multivariate analysis showed that usually not doing farm work (OR 1·26; 95 % CI 1·06, 1·50), TAG ≥ 1·70 mmol/l (OR 1·19; 95 % CI 1·11, 1·27), hyperuricaemia (OR 1·034; 95 % CI 1·01, 1·66) and BMI ≥ 24 kg/m2 (OR 1·06; 95 % CI 1·03, 1·09) may be risk factors for abnormal glucose metabolism. Among all participants, rs151290 locus AA genotype, A allele carriers (AA+AC) were 0.70 times more likely (0.54 to 0.91) and 0.82 times more likely (0.70 to 0.97) to develop abnormal glucose metabolism than CC genotype carriers, respectively. Carriers of the T allele at the rs2237892 locus (CT+TT) were 0.85 times more likely to have abnormal glucose metabolism than carriers of the CC genotype (0.72 to 0.99); rs2237897 locus CT gene. The possibility of abnormal glucose metabolism in the carriers of CC genotype, TT genotype and T allele (CT + TT) is 0·79 times (0·67–0·94), 0·74 times (0·55–0·99) and 0·78 times (0·66, 0·92). The results of multifactor dimensionality reduction showed that the optimal interaction model was a three-factor model consisting of farm work, TAG and rs2237897. The best model dendrogram found that the interaction between TAG and rs2237897 had the strongest effect on fasting blood glucose in the elderly in rural areas, and they were mutually antagonistic. Environment–gene interaction is an important factor affecting abnormal glucose metabolism in the elderly of a county in Hechi City, Guangxi.

Prior research has suggested an inverse correlation between dried fruit intake and type 2 diabetes mellitus (T2DM), yet the causal link remains uncertain. This study seeks to investigate the potential causal impact of dried fruit intake on T2DM, covering cases both with and without various complications, as well as glycaemic traits, using a two-sample Mendelian randomisation (MR) approach. Using MR analysis with genome-wide association study summary statistics, the primary analysis investigated the causal relationship between dried fruit intake and T2DM, both with and without complications, as well as glycaemic traits, employing the inverse variance weighted method. Supplementary analyses were conducted using MR-Egger and the weighted median method. Heterogeneity and intercept tests were utilised to evaluate the robustness of the study outcomes. The results show a significant association between dried fruit intake and T2DM without complications, as well as fasting insulin. Sensitivity analyses confirmed the robustness of the results and the independence from multicollinearity. However, no association was found between dried fruit intake and T2DM with various complications or other glycaemic traits. The significant association between dried fruit intake and T2DM without complications and fasting insulin persisted even after adjusting for BMI. This study offers genetic evidence endorsing the protective effects of dried fruit intake against T2DM, specifically for cases without complications, and in regulating fasting insulin. These findings suggest that dried fruit intake might serve as a primary preventive strategy for T2DM.