Healthy eating index-2015 and bone mineral density among adult Iranian women

Bone mineral density and muscle mass associated with healthy eating index in postmenopausal women; results from RaNCD cohort study

BACKGROUND

The Healthy Eating Index 2015 (HEI-2015) is a tool for checking the quality of diet. This index is used to examine how well people's dietary behavior fits certain criteria for achieving a healthy diet in Dietary Guidelines for Americans 2015-2020. We look at the possible association between the HEI-2015 and bone mineral density (BMD) and muscle strength in postmenopausal women.

METHODS

This research included 1012 postmenopausal women from the recruitment phase of the Ravansar Noncommunicable Diseases (RaNCD) cohort study in Kermanshah-Iran. A standardized and repeatable food-frequency questionnaire (FFQ) that contains 118 items was used to quantify dietary consumption. Anthropometric indices measured via Bio-Impedance Analyzer BIA (Inbody 770, Inbody Co, Seoul, Korea).

RESULT

The mean age of postmenopausal women was (56.41 ± 5.31) years. Participants in the highest quartile had a more daily energy intake compared to the lowest quartile (2329.89 ± 837.59), (P < 0.001). Women in the upper quartiles had greater Skeletal Muscle Mass (SMM) than those in the lower quartiles (21.61 ± 2.80 vs 20.52 ± 3.13; p = 0.0002). The linear model didn't show a significant relationship between HEI score and greater BMD (β = 0.0014, P = 0.169).

CONCLUSION

A diet of high quality followed by a high HEL-2015 score was shown to be strongly connected to increased BMD and muscle mass in Kurdish postmenopausal women.

The relation between dietary quality and healthy eating index with bone mineral density in osteoporosis: a case-control study

BACKGROUND

In this study, we aimed to illustrate the association between the Healthy Eating Index (HEI) and Dietary Quality Index (DQI) with bone mineral density (BMD) among postmenopausal Iranian women with osteoporosis compared to the healthy control.

METHODS

In the current case-control study, 131 postmenopausal women with osteoporosis and 131 healthy postmenopausal women participated. Dual-energy X-ray absorptiometry was used to assess the lumbar vertebrae and femoral neck BMD. The subjects completed a validated food frequency questionnaire (FFQ), and then HEI and DQI were calculated based on the FFQ data. Crude and adjusted multivariable logistic regression was used to assess the relation between HEI and DQI with the odds of the femoral and lumbar BMD.

RESULTS

According to the results, participants in the last tertile of HEI were more likely to have higher femoral and lumbar BMD in the crude model (odds ratio (OR) = 0.38; 95% confidence interval (CI): 0.20-0.71 and OR = 0.20; 95% CI: 0.10-0.40, respectively) and also in the adjusted model (OR = 0.40; 95% CI: 0.20-0.78 and OR = 0.20; 95% CI: 0.10-0.41, respectively). Also, in terms of DQI-I, participants in the last tertile were more likely to have higher femoral and lumbar BMD in the crude model (OR = 0.23; 95% CI: 0.12-0.45 and OR = 0.29; 95% CI: 0.15-0.55, respectively) and also in the adjusted model (OR = 0.29; 95% CI: 0.14-0.58 and OR = 0.34; 95% CI: 0.17-0.67, respectively).

CONCLUSIONS

The results of the current study supported the hypothesis that high-quality diets with healthy patterns can be clinically effective in maintaining bone health. Thus, recommendations regarding the consumption of nutrient-rich food groups in a healthy diet can serve as a practical non-pharmacological strategy against osteoporosis.

Healthy eating index and bone health markers in adults with metabolically healthy and unhealthy obese phenotypes

Background

The Healthy Eating Index (HEI) estimates the diet quality, and low HEI scores are associated with adverse bone outcomes. However, the relationship between HEI scores and bone health in individuals who are obese but otherwise healthy or obese with comorbidities remains unclear.

Objective

We aimed to evaluate the association of HEI scores with bone mineral density (BMD), bone regulating hormones and bone turnover markers in individuals with metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) phenotypes.

Methods

This was a cross-sectional analysis of 122 adults who were overweight or obese. A questionnaire was completed to obtain demographic data. Body composition and BMD were assessed by a Dual Energy X-Ray Absorptiometry (DXA) exam. The HEI scores and dietary components were calculated using a 24-h dietary recall. Blood samples were collected for the analysis of serum 25-hydroxyvitamin D (s25OHD), total osteocalcin (OC), parathyroid hormone (PTH), and C-terminal telopeptide (CTx) concentrations. The MHO and MUO phenotypes were classified according to the absence or presence of metabolic abnormalities.

Results

The sample mean age was 37.91 ± 12.66 years, 50.8% were men, mean body mass index (BMI) was 30.01 ± 4.63 kg/m2, and 45.9% were classified as the MUO phenotype. The mean HEI scores were 54.42 ± 16.25 and 61.48% had low-diet quality. HEI scores were positively associated with s25OHD in the MUO phenotype group (β = 0.194, 95%CI = 0.038-0.350, p = 0.016). Certain dietary score components, such as fruits, seafood and plant protein, added sugars, whole grains, and fatty acids were also associated with bone health markers. However, HEI scores were not associated with BMD measures, neither with other bone regulating hormones and turnover markers.

Conclusion

There was a positive association between HEI scores and s25OHD in adults who were overweight or obese with MUO phenotype. Additionally, the adequate consumption of specific food groups may benefit bone mass and metabolism. These results emphasize the importance of lifestyle interventions encouraging healthy eating habits to prevent s25OHD deficiency, poor bone health, and cardiometabolic complications.

Development of a metric Healthy Eating Index-2015 and comparison with the Healthy Eating Index-2015 for the evaluation of dietary quality

Background

Diet quality indices can provide important information about relationships between diet and health independent of energy balance. The Healthy Eating Index-2015 (HEI-2015) is widely used and has been extensively evaluated. However, due to imperial units the HEI-2015 is difficult to apply in countries with metric systems. Our objective was to develop a metric version of the HEI-2015 and compare it to the original. The metric Healthy Eating Index-2015 (mHEI-2015) is intended to simplify the application of a dietary quality index in countries using the metric system.

Methods

We developed a metric database logic following the methodology of the HEI-2015, which allows the application to metric databases and was applied to Food Patterns Equivalents Database (FPED). The HEI-2015 was calculated for the National Health and Nutrition Examination Survey (NHANES) 2017-2018 and the scoring standards for each component of the mHEI-2015 was calibrated against it. For the assessment of agreement between indices, HEI-2015 and mHEI-2015 were calculated for NHANES 2015-2016 and a Bland–Altman plot was created.

Results

Healthy Eating Index-2015 and mHEI-2015 for the NHANES 2015-2016 averaged 52.5 ± 13.5 and 52.6 ± 13.2, respectively. The total scores as well as component scores of the indices were strongly correlated. The Bland–Altman plot revealed a high agreement of the total scores. An illustrated analysis of six different menu plans showed only minor differences between the HEI-2015 and mHEI-2015 component scores.

Conclusion

The mHEI-2015 allows for superior analysis of metric dietary data to better examine the relationship between chronic diseases and diet. The streamlined metric methodology enables straightforward application to metric food databases and thus the development of country-specific indices.

Association between dietary inflammatory index scores and the increased disease activity of rheumatoid arthritis: a cross-sectional study

Background

Diet plays an important role in regulating inflammation, which is a hallmark of rheumatoid arthritis (RA). Our aim was to investigate the association between the Dietary Inflammatory Index (DII) scores and RA activity.

Methods

This cross-sectional study was conducted on 184 patients with RA in rheumatology clinic in Kermanshah city, Iran, in 2020. RA was diagnosed according to the criteria of the 2010 American College of Rheumatology/ European League against Rheumatism. The overall inflammatory potential of the diet was extracted from a validated 168-item food frequency questioner (FFQ) using the DII. RA disease activity was assessed using Disease Activity Score 28 (DAS-28) scores. Logistic regression and one-way ANOVA/ ANCOVA were conducted.

Results

Individuals in the highest DII quartile had the significantly higher odds of positive C-reactive protein than those in the lowest quartile of the DII scores (OR 4.5, 95% CI 1.16 – 17.41, P = 0.029). A statistically significant downward linear trend in fat-free mass and weight were observed with increasing the DII quartiles (P = 0.003, P = 0.019, respectively). Patients in the highest DII quartile had higher DAS-28 scores than those in the first quartile (Mean difference: 1.16, 95% CI 0.51 – 1.81, P < 0.001) and second quartile of the DII scores (Mean difference: 1.0, 95% CI 0.34 – 1.65, P < 0.001).

Conclusion

Our results indicated that reducing inflammation through diet might be one of the therapeutic strategies to control and reduce the disease activity in RA patients.

The association between the Healthy Eating Index (HEI-2015) score and body composition among Iranian soccer players and referees: a cross-sectional study

For an optimal performance, soccer players and referees need to consume a high-quality diet. The Healthy Eating Index (HEI) is a tool that can estimate diet quality and has been shown to be associated with body composition. The aims of the present study were first to determine the HEI-2015 score of the diets consumed by athletes and second its association with different body composition parameters of athletes. We conducted a cross-sectional study on 198 soccer players and referees. Dietary intakes were recorded using a validated food frequency questionnaire (FFQ), and HEI scores were calculated. Body composition parameters were measured using the bioelectrical impedance analysis. The mean score for the HEI-2015 was 65⋅04. A multiple linear regression model showed significant associations of the HEI-2015 score with percent body fat (PBF), percent muscle mass (PMM), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) in male soccer players aged <18 years, body mass index (BMI) in male soccer players aged ≥18 years and BMI and waist-to-height ratio (WHtR) in male soccer referees after adjustment for covariates (P < 0⋅05). The mean overall score for the HEI-2015 shows that Iranian soccer players and referees have an acceptable quality of diet. We also found significant associations between the HEI-2015 score and different body composition parameters in male soccer players and referees but we did not find any significant association in female athletes (P > 0⋅05).

Is there a relationship between diet quality and bone health in elderly women? A cross-sectional study

OBJECTIVE

To evaluate whether there is a relationship between diet quality and bone health in a group of elderly Brazilian women.

METHODS

A cross-sectional study was performed with 105 elderly women. Participants were evaluated regarding diet quality (good, needing improvement, and poor) and its relationship with bone mineral density (BMD), bone-specific alkaline phosphatase (BSAP), and C-telopeptide (CTX).

RESULTS

Fifty eight participants (55.2%) presented a poor-quality diet and 47 (44.8%) required dietary improvements, while no subjects presented a good quality diet. The group requiring dietary improvements had lower CTX [0.35 (0.05;1.09) vs. 0.52 (0.10;1.45); p = 0.03)] and BSAP (38.7 ± 12.9 U/L vs. 46.10 ± 15.2 U/L; p < 0.01) levels than the poor-quality diet group. Groups did not differ in terms of BMD.

CONCLUSION

In this group of elderly Brazilian women, there was a relationship between diet quality and bone health, where worse diet quality was associated with higher levels of bone remodelling markers.