Short-term effects of lifestyle intervention in the reversion to normoglycemia in people with prediabetes

Liu, Yuxiang; Guo, Haijian; Wang, Qing; Chen, Jianshuang; Yang, Xuan; Xu, Jingkun; Liu, Yu; Sun, Kaicheng; Gao, Qian; Sun, Zilin; Wang, Bei

doi:10.1016/j.pcd.2021.12.009

Cited by 9 publications

(10 citation statements)

References 28 publications

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“…Study characteristics and descriptions of the interventions and main findings of eligible studies are summarised quantitatively in Table 1 , and qualitatively reviewed in the appendix (pp 14-23). The majority of the eligible studies were published in the last decade, 2012-2022, (90%), and conducted in lower-middle (56%) 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 or upper-middle-income (44%) 23 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 countries. No eligible study was found in low-income countries.…”

Section: Resultsmentioning

confidence: 99%

“…No eligible study was found in low-income countries. By continent, the vast majority of studies (84%) were performed in Asia (15 in India, 25 , 27 , 28 , 29 , 32 , 33 , 35 , 36 , 41 , 42 , 44 , 46 , 47 , 48 , 50 12 in China, 53 , 54 , 55 , 56 , 57 , 58 , 60 , 61 , 63 , 66 , 67 , 68 five in Iran, 31 , 37 , 40 , 43 , 45 two in Thailand, 51 , 65 Vietnam, 30 , 49 Bangladesh, 24 , 32 and Sri Lanka, 26 , 32 and one in Jordan, 69 Pakistan, 39 and Mongolia 38 ), followed (14%) by America (three in Brasil, 52 , 64 , 70 two in Colombia, 23 , 62 and one in Cuba 59 ), and only one study (2%) in Africa (Egypt 34 ). To define at-risk populations, most studies selected participants with impaired glucose/prediabetes (52%) or presenting a combination of cardiometabolic risks (34%).…”

Section: Resultsmentioning

confidence: 99%

“…No intervention components related to financial incentives were identified. As per eligibility criteria, all interventions were evaluated using an RCT design with 74% of studies using individually randomisation 23 , 26 , 27 , 28 , 29 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 47 , 50 , 52 , 53 , 54 , 55 , 56 , 59 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 and 26% clustered randomisation. 24 , 25 , 30 , 31 , 45 , 46 , 48 , 49 , 51 , 57 , 58 , 60 When appraising the risk of bias using RCT-specific tools, 54% of studies were ranked as having medium risk, 23 , 26 , 28 , 29 , 33 , 35 , 36 , 37 , 39 , 42 , 43 , 45 , 46 , ...…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

The effectiveness of lifestyle interventions on type 2 diabetes and gestational diabetes incidence and cardiometabolic outcomes: A systematic review and meta-analysis of evidence from low- and middle-income countries

et al. 2022

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

The effectiveness of lifestyle interventions on type 2 diabetes and gestational diabetes incidence and cardiometabolic outcomes: A systematic review and meta-analysis of evidence from low- and middle-income countries

et al. 2022

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“…Finally, it is important to characterize glycemic and IR status in HF patients without previously known diabetes as it seems possible to reduce the incidence of diabetes in this population. A recent paper showed that compared with a strategy of general health education, a lifestyle intervention strategy can reverse glucose levels to normoglycemia in individuals with prediabetes [ 48 ]. In the HFrEF population included in the DAPA-HF trial, dapagliflozin treatment induced a 32% reduction in diabetes incidence and this effect was mainly driven by participants with prediabetes at baseline (HbA 1c 5.7–6.4%) [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

Prediabetes and insulin resistance in a population of patients with heart failure and reduced or preserved ejection fraction but without diabetes, overweight or hypertension

Son

Toan

Thang

et al. 2022

Cardiovasc Diabetol

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Background The relationships between glucose abnormalities, insulin resistance (IR) and heart failure (HF) are unclear, especially regarding to the HF type, i.e., HF with reduced (HFrEF) or preserved (HFpEF) ejection fraction. Overweight, diabetes and hypertension are potential contributors to IR in persons with HF. This study aimed to evaluate the prevalence of prediabetes and IR in a population of Vietnamese patients with HFrEF or HFpEF but no overweight, diabetes or hypertension, in comparison with healthy controls, and the relation between prediabetes or IR and HF severity. Methods We conducted a prospective cross-sectional observational study in 190 non-overweight normotensive HF patients (114 with HFrEF and 76 with HFpEF, 92.6% were ischemic HF, mean age was 70.1 years, mean BMI 19.7 kg/m2) without diabetes (neither known diabetes nor newly diagnosed by OGTT) and 95 healthy individuals (controls). Prediabetes was defined using 2006 WHO criteria. Glucose and insulin levels were measured fasting and 2 h after glucose challenge. IR was assessed using HOMA-IR and several other indexes. Results Compared to controls, HF patients had a higher prevalence of prediabetes (63.2% vs 22.1%) and IR (according to HOMA-IR, 55.3% vs 26.3%), higher HOMA-IR, insulin/glucose ratio after glucose and FIRI, and lower ISIT0 and ISIT120 (< 0.0001 for all comparisons), with no difference for body weight, waist circumference, blood pressure and lipid parameters. Prediabetes was more prevalent (69.3% vs 53.9%, p = 0.03) and HOMA-IR was higher (p < 0.0001) in patients with HFrEF than with HFpEF. Among both HFrEF and HFpEF patients, those with prediabetes or IR had a more severe HF (higher NYHA functional class and NT-proBNP levels, lower ejection fraction; p = 0.04–< 0.0001) than their normoglycemic or non-insulinresistant counterparts, with no difference for blood pressure and lipid parameters. Conclusion In non-diabetic non-overweight normotensive patients with HF, the prevalence of prediabetes is higher with some trend to more severe IR in those with HFrEF than in those with HFpEF. Both prediabetes and IR are associated with a more severe HF. The present data support HF as a culprit for IR. Intervention strategies should be proposed to HF patients with prediabetes aiming to reduce the risk of incident diabetes. Studies should be designed to test whether such strategies may translate into an improvement of further HF-related outcomes.

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“…The global prevalence of Pre-DM is increasing quickly [3,4], and it is estimated that 587 million individuals will live with Pre-DM by 2045 [5], with an annual progression rate of 5-10% to T2DM [6]. Previous studies show that lifestyle modifications (i.e., diet and physical activity) can prevent or even revert the Pre-DM progression [6,7].…”

Section: Introductionmentioning

confidence: 99%

Dietary pattern scores in relation to pre-diabetes regression to normal glycemia or progression to type 2 diabetes: a 9-year follow-up

et al. 2023

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Background We aimed to assess potential associations of habitual dietary pattern scores in relation to the risk of pre-diabetes (Pre-DM) progression to type 2 diabetes mellitus (T2DM) or the chance of returning to normal glycemia. Methods This cohort study included 334 Pre-DM individuals (mean age of 49.4 years, and 51.5% men) who participated in the third phase of the Tehran Lipid and Glucose Study (2006–2008) and followed up for a median of 9 years. A validated food frequency questionnaire at baseline assessed usual intakes of the participants. Major dietary patterns were identified using principal component analysis. The DASH score and Mediterranean diet score (MDS) were also calculated. Multinomial logistic regression analysis was used to estimate the odds ratios (95% confidence intervals (CIs)) of developing T2DM and returning to normal glycemia in relation to dietary pattern scores. Results During the study follow-up, 39.8% progressed to T2DM, and 39.8% returned to normal glycemia. Three following major dietary patterns, including Western-style (with a higher load of red meats, hydrogenated fats, sodium, and total fat intakes), healthy pattern (with a higher load of whole grains, vegetables, and dairy products), and processed-foods pattern (with a higher load of processed-meats, fast-foods, salty snakes, and sweets and candies) were identified. The Western-style dietary pattern increased the risk of progressing to T2DM by 38% (OR = 1.38; 95% CI = 1.00 to 1.89, P = 0.050). Other dietary pattern scores were not related to regression or progression from Pre-DM. Conclusion The Western-style dietary pattern (characterized by higher load of red meats, hydrogenated fats, sodium intake, and high-GI foods) may accelerate the progression of Pre-DM to T2DM.

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Short-term effects of lifestyle intervention in the reversion to normoglycemia in people with prediabetes

Cited by 9 publications

References 28 publications

The effectiveness of lifestyle interventions on type 2 diabetes and gestational diabetes incidence and cardiometabolic outcomes: A systematic review and meta-analysis of evidence from low- and middle-income countries

The effectiveness of lifestyle interventions on type 2 diabetes and gestational diabetes incidence and cardiometabolic outcomes: A systematic review and meta-analysis of evidence from low- and middle-income countries

Prediabetes and insulin resistance in a population of patients with heart failure and reduced or preserved ejection fraction but without diabetes, overweight or hypertension

Dietary pattern scores in relation to pre-diabetes regression to normal glycemia or progression to type 2 diabetes: a 9-year follow-up

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