Association between Dietary Quality and Prediabetes based on the Diet Balance Index

He, Dingliu; Qiao, Yanan; Xiong, Suting; Liu, Siyuan; Ke, Chaofu; Shen, Yueping

doi:10.1038/s41598-020-60153-9

Cited by 33 publications

(34 citation statements)

References 27 publications

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“…With the increment of HBS, LBS and DQD, the degree of excessive dietary intake, insufficient dietary intake and dietary imbalance raise likewise. A score of 0 shows an optimal diet (no problem); a score that is less than 20% of the total score shows a good diet (almost no problem); a score that is between 20% and 40% of the total score shows an acceptable diet (low level); a score that is between 40% and 60% of the total score shows a poor diet (moderate level); a score greater than 60% of the total score shows the terrible diet (high level) [17,18,25].…”

Section: Dietary Balance Index For Pregnancymentioning

confidence: 99%

“…The higher bound score (HBS) was calculated by adding all the positive scores, indicating the extent of excessive dietary intake; the lower bound score (LBS) was obtained by adding the absolute values of negative scores, indicating inadequate dietary intake; the diet quality distance (DQD) was defined as the sum of the LBS and HBS to evaluate the degree of overall dietary balance [17,18]. In our study, the lower and upper bound of HBS, LBS and DQD were: 0-34, 0-82, 0-90, respectively.…”

Section: Dietary Balance Index For Pregnancymentioning

confidence: 99%

“…The DBI was designed as a continuous scoring system that can reflect the degree of dietary insufficiency, dietary excess, and dietary imbalance, which was closely connected with the occurrence and development of non-communicable diseases [16]. DBI has been modified several times since its release to facilitate more reasonable assessments, and its applicability in dietary quality assessment has been widely verified in different populations [16][17][18]. Wang et al developed a DBI for pregnancy (DBI-P) to assess the dietary quality among pregnant women, however, its finding was compromised by crosssectional study design and consistent scoring criteria for various gestations [19,20].…”

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confidence: 99%

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Association between maternal dietary quality and gestational diabetes mellitus based on the Diet Balance Index for Pregnancy

Wang¹,

Wang²,

Luo³

et al. 2021

Preprint

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Background: Maternal diet is critical to the development of gestational diabetes mellitus (GDM), but sparse studies have applied the Chinese Dietary Balance Index for Pregnancy (DBI-P) to assess the maternal dietary quality and its relationship with GDM. We aimed to examine the maternal dietary quality and its relationship with GDM risk using the newly developed DBI-P. Methods: We included 1122 pregnant women from the Tongji Birth Cohort (TJBC) in Wuhan, China. The semi-quantitative food frequency questionnaire (FFQ) was used to obtain the dietary information during pregnancy. The newly developed DBI-P, including DBI-P components and DBI-P dietary patterns, was applied to comprehensively evaluate the maternal dietary quality. GDM was diagnosed by the 75-g, 2-h oral glucose tolerance test at 24-28 weeks gestation. We used a generalized linear regression model to examine the relationship between DBI-P components and blood glucose levels, and a logistic regression model to examine the relationship between dietary patterns and GDM. Results: A total of 179 participants (16.0%) were diagnosed with GDM. There is a widespread phenomenon of dietary imbalance among pregnant women in Wuhan. With per score increase in nuts and eggs, fasting blood glucose increase by 0.03 mmol/l (95% CI: 0.01, 0.05) and 0.01 mmol/l (95 %CI: 0.01, 0.03), respectively, while per score increase in fruits, 1-h post-load blood glucose decreased by 0.05 mmol/l (95% CI: -0.10, -0.01). Besides, compared with pattern E characterized by higher intake of total energy, total fat, fruits, and cooking oil, pattern B (OR: 0.51, 95% CI: 0.26, 0.99) and pattern C (OR: 0.27, 95% CI: 0.09, 0.81) were associated with a lower GDM risk. The associations between dietary patterns and GDM risk may be partly attributed to the intakes of dietary total fat, carbohydrate, cholesterol, eggs, and cooking oil. Conclusions: Unfavorable dietary quality during pregnancy is associated with a higher risk of GDM. The newly established DBI-P can provide an easy-to-implement tool to assess maternal dietary quality. These findings will provide new insights for the exploration of preferable dietary evaluation methods and prevention and control of GDM.

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Section: Dietary Balance Index For Pregnancymentioning

confidence: 99%

Section: Dietary Balance Index For Pregnancymentioning

confidence: 99%

mentioning

confidence: 99%

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Association between maternal dietary quality and gestational diabetes mellitus based on the Diet Balance Index for Pregnancy

Wang¹,

Wang²,

Luo³

et al. 2021

Preprint

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“…The Chinese DBI-16 is a method of evaluating dietary structure and quality (17) . The DBI-16 evaluation of intake quality for different foods is based on The DBI-16 is further divided into 12 food subgroups used to calculate the dietary variety score (18) .…”

Section: Chinese Dietary Balance Index (Dbi)-16mentioning

confidence: 99%

Dietary quality is associated with reduced risk of diabetes among adults in Northern China: a cross-sectional study

Tan

Song

et al. 2020

Br J Nutr

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In this study, we analysed the prevalence of diabetes in Inner Mongolia and explored the relationship between dietary patterns and diabetes using the Chinese Dietary Balance Index-16 (DBI-16). This study was a surveillance survey of Chronic Disease and Nutrition Monitoring among Chinese Adults in Inner Mongolia in 2015. Dietary data were collected using the 24-h dietary recall and weighing method over 3 consecutive days. Dietary quality was evaluated via the DBI-16. A generalized linear model was used to examine the associations between the DBI-16 and dietary patterns. The relationship between dietary patterns and diabetes was analysed using logistic regression. In Inner Mongolia, the diabetes prevalence was 8.5%, and the estimated standardized prevalence was 6.0%. Four major dietary patterns were identified: ‘meat/dairy products’, ‘traditional northern’, ‘high cereal/tuber’ and ‘high-salt/alcohol’. Generalized linear models showed that the ‘meat/dairy products’ pattern was relatively balanced (βLBS = −1.993, βHBS = −0.206, βDQD = −2.199; all P<0.05) and was associated with a lower diabetes risk (odds ratio [OR]: 0.565; 95% confidence interval [CI]: 0.338–0.945; P<0.05) after adjusting for potential confounders. The other three dietary patterns (i.e., ‘traditional northern’, ‘high cereal/tuber’ and ‘high-salt/alcohol’) exhibited relatively unbalanced dietary quality and were unassociated with diabetes risk. Diabetes prevalence in Inner Mongolia was moderate. The dietary quality of the ‘meat/dairy products’ pattern was relatively balanced and was correlated with a decreased risk of diabetes prevalence, suggesting that dietary quality may help decrease the diabetes prevalence and provide a suggestion for local dietary guidelines.

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“…They were characterized by low intake of fruits, vegetables, legumes, milk, nuts, and high intake of meat products, salt, alcohol, which has been associated with T2DM and other chronic diseases [ 16 – 20 ]. However, these studies have focused on the significant role of the overall diet quality in predicting T2DM, including diet quality from only one point in time [ 14 , 15 , 21 , 22 ]. Assessing the overall diet quality at baseline implies ignoring the variation of food consumption, and consequently, may not capture the long-term cumulative effects of diet quality changes on T2DM.…”

Section: Introductionmentioning

confidence: 99%

Association of fourteen years diet quality trajectories and type 2 diabetes mellitus with related biomarkers

Wabo

Nkondjock

Onwuka

et al. 2021

Aging

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Diet quality fluctuates throughout one’s adulthood, yet it remains unclear how long-term diet quality changes are related to type 2 diabetes mellitus (T2DM) and its biomarkers. We aimed to examine the association of long-term diet quality with T2DM and its biomarkers. Diet quality was assessed by the revised DBI-07, in which diet quality distance levels (DQD) represented the overall diet quality. Participants were clustered into classes sharing similar DQD levels using latent class mixed model. We used Cox regression and random effect linear regression to assess DQD trajectories’ association with T2DM and its biomarkers. Three DQD trajectories were derived: moderate to gradual decrease, high to moderate, high stable DQD level representing 2.14%, 6.18% and, 91.68% of the population. Compared to class 1, class 2 and 3 were associated with an increased risk of T2DM [HR=4.40; 95%CI: 2.02-9.59]; [HR=3.68; 95% CI: 2.11-6.43]. When class 3 was used as a reference, class 1 was also associated with an increased risk of TDM [HR=2.71; 95%CI: 1.55-4.73]. Our findings suggest that a long-term unhealthy diet is associated with an increased risk of T2DM. Gradually reducing DQD level may not make a difference, which establishes the importance of promoting healthy eating habits at early adulthood.

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Association between Dietary Quality and Prediabetes based on the Diet Balance Index

Cited by 33 publications

References 27 publications

Association between maternal dietary quality and gestational diabetes mellitus based on the Diet Balance Index for Pregnancy

Association between maternal dietary quality and gestational diabetes mellitus based on the Diet Balance Index for Pregnancy

Dietary quality is associated with reduced risk of diabetes among adults in Northern China: a cross-sectional study

Association of fourteen years diet quality trajectories and type 2 diabetes mellitus with related biomarkers

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