The association between meal-based diet quality index-international (DQI-I) with obesity in adults

Dietary patterns derived by Gaussian graphical models and metabolic profiles among overweight and obese individuals

BACKGROUND

The increasing prevalence of metabolic syndrome (MetS) and its associated risk factors highlights the critical need to understand dietary patterns that influence health outcomes, particularly among overweight and obese individuals. Identifying dietary networks provides valuable insights into the complex interactions between food groups within typical dietary patterns. This study aimed to derive dietary networks using Gaussian graphical models (GGM) and evaluate their associations with the risk of MetS components in a sample of the Iranian population.

METHODS

This cross-sectional study involved 647 participants who were overweight or obese. The study included assessments of body composition and anthropometric measurements. Dietary fatty acid consumption was evaluated using a validated Food Frequency Questionnaire (FFQ) containing 168 items. Additionally, biochemical parameters, including serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), fasting serum glucose (FSG), and insulin levels, were measured using enzymatic methods. GGM was utilized to explore the networks of participants' dietary intake, and the association between these networks and risk factors related to MetS was assessed using logistic regression.

RESULTS

GGM analysis identified six major networks of dietary intake, where 28 food items were allocated into six dietary networks of vegetable, grain, fruit, snack, fish/dairy, and fat/oil dietary networks, with raw vegetables, grain, fresh fruit, snack, margarine, and red meat were central to the networks respectively. In the vegetable network, TC was significantly lower in the higher tertiles of this network, and HDL was higher in the third tertile compared with the first tertile in sex, age, and fully adjusted models. In the grain network, lower SBP, DBP, TG, LDL, and higher HDL were shown in the higher tertile (P < 0.05).

CONCLUSION

This study showed that vegetables and grains are associated with decreased risk of MetS components, including reduced blood pressure and cholesterol. Therefore, these results emphasize that dietary networks can be valuable for analyzing nutritional habits and consumption trends.

Effect of Vitamin D Supplementation According to Daily Dietary Levels on Biochemical Parameters in 25-Hydroxyvitamin D Deficiency of Women with Obesity

Objectives

This study examined how vitamin D supplementation based on daily dietary intake affects biomarkers in obese women with 25-hydroxyvitamin D deficiency.

Materials and Methods

Group D (n= 14) used vitamin D supplements daily for 2 months, and Group C (n= 16) did not receive supplements. Three blood samples were collected from the volunteers during the initial phase of the study. In this study, blood was collected from the volunteers: first measurement (M1), second measurement (M2), and third measurement (M3).

Results

Compared with Group C, Group D had lower high-density lipoprotein (HDL) levels at M2 and fasting serum glucose (FSG) levels at M3 (p < 0.05), and lower HDL levels at M2 and FSG levels in normal-weight individuals at M3 (p < 0.05). In addition, 25-hydroxyvitamin D levels were higher in normal-weight women than in obese women according to M3 (p= 0.043). There was a higher negative correlation between HDL-C in M1 and FSG in Group D (r= -0.710, p= 0.004). 25-hydroxyvitamin D was moderately positively correlated with dietary vitamin D in M2 in Group D (r= 0.559, p= 0.038). Significant positive correlations were observed between iodine intake and triiodothyronine (T3) levels, whereas no significant difference was observed between thyroid-stimulating hormone and T3 levels.

Conclusion

Vitamin D intake improves HDL levels in normal-weight individuals and causes an effect on FSG to be at the desired low level, whereas in individuals with obesity, although serum 25-hydroxyvitamin D levels increased in the last measurement, no effect was observed. Women with normal vitamin D levels have higher serum 25-hydroxyvitamin D levels than those who are obese.

The association between dietary quality index- international and metabolic risk factors in RaNCD cohort study

BACKGROUND

Non-communicable diseases (NCDs) are the leading cause of death around the world. The Dietary Quality Index-International (DQI-I) is one of the indicators that shows changes in diet and its association with NCDs. The aim of this study is to measure the association between the DQI-I and major metabolic risk factors.

METHODS

This study is a cross-sectional study based on data collected in the first phase of the prospective cohort study on Ravansar non-communicable diseases (RaNCD). To perform clinical and biochemical tests such as lipid profile, blood glucose and liver enzymes, blood samples were collected using standard vacutainer blood collection techniques. Information from the food frequency questionnaire containing 118 food items was used to score each person's DQI-I. Binary logistic regression was used to determine the association between the DQI-I tertile and the metabolic risk factors. Linear regression was also used for the association between subgroups of DQI-I score and the metabolic risk factors.

RESULTS

The total number of subjects in this study was 7,115, with a mean age of 47.14 ± 8.29 years. Dietary quality was generally poor, with 37.03% in the lowest tertile. Men had better dietary quality than women. Anthropometric measures, blood pressure, triglycerides and blood glucose were lower in the lowest tertile of dietary quality. A one-unit increase in the total DQI-I resulted in a 0.19 decrease in total cholesterol. Higher dietary quality was associated with a 22% increased risk of high triglycerides, a 19% increased risk of low high-density density lipoprotein, a 5% decreased risk of elevated low-density lipoprotein, a 42% increased risk of high blood pressure, and a 99% increased risk of high fasting blood glucose. Higher dietary quality was also associated with a 33% increased risk of overweight/obesity.

CONCLUSION

The study found that participants had poor dietary quality, with some favorable metabolic outcomes in the lowest tertile, but concerning associations in the highest tertile, including increased risk for high triglycerides, blood pressure, and obesity. The complex associations suggest that balanced, multifaceted interventions are needed.

International diet quality index and revised diet quality index relationship with non-alcoholic fatty liver disease: a case-control study

BACKGROUND/OBJECTIVES

Recent studies show the potential role of dietary quality and quantity in predicting the risk of chronic diseases, such as liver disease, therefore, in the present study, we aimed to assess the association of diet quality index International (DQI-I) and diet quality index revised (DQI-R) and their main components with the odds of non-alcoholic fatty liver disease (NAFLD) in adult populations.

METHODS

The current case-control study was conducted on 225 patients with NAFLD and 450 controls. Dietary intake was assessed using a validated 168-item food frequency questionnaire, and DQI-I and DQI-R were calculated in participants. Multi-variable logistic regression was used to examine the association of DQI-I and DQI-R and their components with the odds of NAFLD.

RESULTS

The mean (SD) age and BMI of participants (53% men) were 38.1 (8.8) years and 26.8 (4.3) kg/m2, respectively. In the final model, each one SD increment in the DQI-I score was associated with decreased odds of NAFLD (OR = 0.63; 95%CI = 0.40-0.98) (P = 0.040). Also, of DQI-I components, high adequacy score was related to lower odds of NAFLD (OR = 0.16; 95%CI = 0.06-0.40) (P < 0.001). Also, our findings showed that participants in the highest tertile of DQI-R score had lower odds of NAFLD compared to the lowest tertile of DQI-R (OR = 0.24; 95%CI = 0.10-0.53) (P < 0.001). Furthermore, of DQI-R components, high moderation score are linked to a lower risk of NAFLD (OR = 0.17;95%CI = 0.07-0.43) (P < 0.001).

CONCLUSION

Our findings suggested that greater adherence to diet with a higher score of DQI-I and DQI-R may be associated with lower odds of NAFLD.

The association between Diet Quality Index-International score and risk of diminished ovarian reserve: a case-control study

Introduction

Although limited evidence exists on the beneficial reproductive effects of diet quality indices, the association is still largely unknown. We aimed to investigate the association between Diet Quality Index-International (DQI-I) and antral follicle count (AFC) and serum antimullerian hormone (AMH) as precise and sensitive markers of ovarian reserve and to assess the risk of diminished ovarian reserve (DOR) in women seeking fertility treatments.

Methods

In a case-control study, 370 women (120 women with DOR and 250 women with normal ovarian reserve as controls), matched by age and body mass index (BMI), were recruited. Dietary intake was obtained using a validated 80-item semi-quantitative food frequency questionnaire (FFQ). The quality of diets was assessed using DQI-I, which included four major dietary components: variety (0-20 points), adequacy (0-40 points), moderation (0-30 points), and overall balance (0-10 points). DQI-I score was categorized by quartiles based on the distribution of controls. AFC, serum AMH and anthropometric indices were measured. Logistic regression models were used to estimate multivariable odds ratio (OR) of DOR across quartiles of DQI-I score.

Results

Increased adherence to DQI-I was associated with higher AFC in women with DOR. After adjusting for potential confounders, the odds of DOR decreased with increasing DQI-I score (0.39; 95% CI: 0.18-0.86).

Conclusion

Greater adherence to DQI-I, as a food and nutrient-based quality index, may decrease the risk of DOR and improve the ovarian reserve in women already diagnosed with DOR. Our findings, though, need to be verified through prospective studies and clinical trials.

Dietary quality index and the risk of breast cancer: a case-control study

BACKGROUND

Diet quality is a significant determinant in the etiology of breast cancer (BrCa), but further studies are required to explore this relationship. Therefore, we tried to assess if diet quality, assessed using the Diet Quality Index-International (DQI-I), was related to BrCa among the Iranian population.

METHODS

In the present case-control research, 134 women with a recent diagnosis of BrCa and 267 without BrCa were selected as case and control groups. Individual food intake data from a food frequency questionnaire was used to compute DQI-I. Also, the multivariable logistic regression models were utilized to evaluate the association between DQI-I and BrCa odds .

RESULTS

We found a significant association between the last tertile of DQI-I and BrCa odds in the fully adjusted model (odds ratio (OR) = 0.30; 95% confidence interval (CI): 0.15-0.56). The subgroup analysis based on menopausal status also showed a significant decrease in BrCa odds in pre-and post-menopausal women (pre-menopausal: OR = 0.27; 95% CI: 0.10-0.70 - post-menopausal status: OR = 0.35; 95% CI: 0.13-0.92).

CONCLUSIONS

Our findings indicated that a higher DQI-I score was related to a lower chance of BrCa. According to our research, a healthy diet pattern is crucial for BrCa prevention.

Holistic Framework to Contextualize Dietary Quality Assessment: A Critical Review

Numerous dietary quality indices exist to help quantify overall dietary intake and behaviors associated with positive health outcomes. Most indices focus solely on biomedical factors and nutrient or food intake, and exclude the influence of important social and environmental factors associated with dietary intake. Using the Diet Quality Index- International as one sample index to illustrate our proposed holistic conceptual framework, this critical review seeks to elucidate potential adaptations to dietary quality assessment by considering-in parallel-biomedical, environmental, and social factors. Considering these factors would add context to dietary quality assessment, influencing post-assessment recommendations for use across various populations and circumstances. Additionally, individual and population-level evidence-based practices could be informed by contextual social and environmental factors that influence dietary quality to provide more relevant, reasonable, and beneficial nutritional recommendations.