Healthy Diet Score Research Articles

Associations between perinatal biomarkers of maternal dairy fat intake and child cognitive development: results from the EDEN mother-child cohort.

Offspring's optimal neurodevelopment depends on maternal dietary lipids supply during the perinatal period. Dairy products are an important source of fat in Western diets. This study aimed at examining the associations between maternal dairy fat intake during pregnancy, evaluated through biomarkers in perinatal biofluids (C15:0 and C17:0) and child's cognitive outcomes. Participants (N up to 1200) were French mother-child pairs from the EDEN cohort study. Biomarkers were assessed in the following biofluids: maternal red blood cells (RBC) membrane at 24 weeks' gestation, cord RBC membrane, and colostrum. Cognitive outcomes were language abilities scores at ages 2 and 3 years and overall cognitive development scores at ages 3 and 5-6 years. Associations were assessed using multiple linear regression models adjusted for factors related to family socioeconomic context, maternal lifestyle, and healthy diet score. Interaction of any breastfeeding duration on the associations with dairy fat biomarkers in colostrum was studied. Positive associations were observed between levels of C17:0 in cord RBC and C15:0 in maternal RBC with language abilities. In children breastfed for at least 6 months, C15:0 level in colostrum was positively associated with language abilities at age 3 years and overall cognitive development at ages 3 and 5-6 years whereas C17:0 level was only associated with overall cognitive development at age 3 years. Our results suggest that maternal higher intake of dairy fat during perinatal period could be potentially associated with offspring's better cognitive development. These pioneering results call for external validation to challenge their causality.

Associations of various healthy dietary patterns with biological age acceleration and the mediating role of gut microbiota: results from the China Multi-Ethnic Cohort study.

To investigate the associations between dietary patterns and biological aging, identify the most recommended dietary pattern for coping with biological aging and explore the potential mediating role of gut microbiota in less-developed ethnic minority regions (LEMRs). This prospective cohort study included 8288 participants aged 30-79 years from the China Multi-Ethnic Cohort study (CMEC). Anthropometric measurements and clinical biomarkers were utilized to construct biological age based on Klemera and Doubal's method (KDM-BA) and KDM-BA acceleration (KDM-AA). Dietary information was obtained through the baseline food frequency questionnaire (FFQ). Six dietary patterns were constructed: plant-based diet index (PDI), healthful plant-based diet index (hPDI), unhealthful plant-based diet index (uPDI), healthy diet score (HDS), Dietary Approaches to Stop Hypertension (DASH), and alternative Mediterranean diets (aMED). Follow-up adjusted for baseline analysis were employed to assess the associations between dietary patterns and KDM-AA. Additionally, quantile G-computation was utilized to evaluate the significant beneficial and harmful food groups. In the subsample of 764 participants with gut microbiota data obtained through 16S rRNA gene sequencing, we used causal mediation model to explore the mediating role of gut microbiota in the associations between dietary patterns and KDM-AA. The results showed that all dietary patterns were associated with KDM-AA. Transitioning from non-compliance to compliance, DASH exhibited the strongest negative association with KDM-AA [β = -0.91, 95%CI (-1.19, -0.63)]. The component analyses revealed that tea and soybean products were the significant beneficial food groups, while salt, preserved vegetables, red and processed meats were identified as the major harmful food groups. In mediation analysis, the decreased abundance of Synergistetes phylum and Pyramidobacter genus possibly mediated the negative associations between plant-based diets and KDM-AA (5.61%-9.19%). Overall, healthy dietary patterns, especially DASH, are negatively associated with biological aging in LEMRs. The Synergistetes and Pyramidobacter may mediate the associations between plant-based diets and biological aging. Developing appropriate strategies may promote healthy aging in LEMRs.

Association between the Korean Healthy Diet Score and Metabolic Syndrome: Effectiveness and Optimal Cutoff of the Korean Healthy Diet Score.

Although the prevalence of metabolic syndrome has increased among Koreans, the specific health benefits of the Korean Healthy Diet score remain unexplored. This study aimed to evaluate the association between the Korean Healthy Diet score and metabolic syndrome and to identify the optimal cutoff of the Korean Healthy Diet score for reducing metabolic syndrome prevalence. This cross-sectional study used data from 11,403 participants of the seventh and eighth Korea National Health and Nutrition Examination Survey. The Korean Healthy Diet score was calculated based on adherence to 13 dietary components. A logistic regression analysis was used to determine the association between the Korean Healthy Diet score and metabolic syndrome, as well as to identify the optimal cutoff values for the Korean Healthy Diet score. The average Korean Healthy Diet score was significantly lower in participants with metabolic syndrome than in those without metabolic syndrome (5.03 vs. 5.14, p = 0.016). A one-point increase in the Korean Healthy Diet score was associated with a reduction in metabolic syndrome prevalence (odds ratio: 0.95, 95% confidence interval: 0.91-0.98). The optimal cutoff for the Korean Healthy Diet score was identified as >7 points, particularly showing significantly decreased prevalence of hypertriglyceridemia and low high-density lipoprotein cholesterol. The Korean Healthy Diet score was inversely associated with metabolic syndrome prevalence, and the identified optimal cutoff values can serve as a practical tool for public health interventions aimed at reducing the risk of metabolic syndrome.

The impact of perception bias for cardiovascular disease risk on physical activity and dietary habits

ObjectiveCardiovascular disease (CVD) remains a significant public health challenge in China. Accurate perception of individual CVD risk is crucial for timely intervention and preventive strategies. This study aims to determine the alignment between CVD risk perception levels and objectively calculated CVD risk levels, then investigate the disparity in physical activity and healthy diet habits among distinct CVD risk perception categories. MethodsFrom March to August 2022, a cross-sectional survey was conducted in Zhejiang Province using convenience sampling. Participants aged between 20 and 80 years, without prior diagnosis of CVD were included. CVD risk perception was evaluated with the Chinese version of the Attitude and Beliefs about Cardiovascular Disease Risk Questionnaire (ABCD-C), while objective CVD risk was assessed through the Prediction for Atherosclerotic Cardiovascular Disease Risk (China-PAR) model. Participants’ demographic information, self-reported physical activity, and healthy diet score were also collected. ResultsA total of 739 participants were included in the final analysis. Less than a third of participants (29.3%) accurately perceived their CVD risk, while 64.5% over-perceived it and 6.2% under-perceived it. Notably, half of the individuals (50.0%) with high CVD risk under-perceived their actual risk. Compared to the accurate perception group, individuals aged 60-80 years old (OR = 6.569), currently drinking (OR = 3.059), and with hypertension (OR = 2.352) were more likely to under-perceive their CVD risk. Meanwhile, participants aged 40-<60 years old (OR = 2.462) and employed (OR = 2.352) were more likely to over-perceive their risk. The proportion of individuals engaging in physical activity was lowest in the under-perception group, although the difference among the three groups was not statistically significant (χ2=2.556, P=0.278). In addition, the proportion of individuals practicing healthy diet habits was also lowest in the under-perception group, and a significant statistical difference was observed among the three groups (χ2=10.310, P=0.006). ConclusionOnly a small proportion of participants accurately perceived their CVD risk, especially among those with high actual CVD risk. Individuals in the under-perceived CVD risk group exhibited the lowest rates of physical activity engagement and healthy diet adherence. Healthcare professionals should prioritize implementing personalized CVD risk communication strategies tailored to specific subgroups to enhance the accuracy of risk perception.

Development of a Concise Healthy Diet Score for Cardiovascular Disease among Japanese; The Japan Collaborative Cohort Study.

Several diet quality indicators have been developed primarily for cardiovascular disease (CVD) prevention in Western countries. However, those previous indicators are complicated and less feasible in clinical and health-promoting settings. Therefore, we aimed to develop a concise dietary risk score for CVD prevention in Japanese. Using the self-administered food frequency questionnaire with 35 food items, we developed a concise healthy diet score (cHDS) ranging from 0 to 5 points. We examined the association of cHDS with risks of all-cause and cause-specific mortality among 23,115 men and 35,557 women who were free of CVD and cancer. During 19.2 years of median follow-up, 6,291 men and 5,365 women died. In men, the multivariable hazard ratios (95% confidence intervals) for the highest cHDS (5 points) compared to the lowest (0-1 points) were 0.74 (0.60-0.91, P-trend=0.008) for CVD and 0.86 (0.77-0.95, P-trend=0.05) for all causes. No significant associations were found for stroke, coronary heart disease, and other causes in men. The corresponding hazard ratio in women was 0.65 (0.52-0.81, P-trend＜0.001) for CVD, 0.63 (0.45-0.88, P-trend＜0.001) for stroke, 0.48 (0.30-0.78, P-trend=0.008) for coronary heart disease, 0.67 (0.54-0.84, P-trend＜0.001) for other causes, and 0.75 (0.66-0.85, P-trend＜0.001) for all causes. We developed a concise diet quality score named cHDS in the Japanese population and found the inverse association of cHDS with mortality from CVD and all causes for both men and women.

PURE Healthy Diet Score, Genetic Susceptibility, and New-Onset CKD

PURE Healthy Diet Score, Genetic Susceptibility, and New-Onset CKD

Longitudinally changed diet quality scores and their association with type 2 diabetes mellitus and cardiovascular diseases in the EPIC-Potsdam study

Association analyses between longitudinal changes in diet quality scores (DQIs) and cardiometabolic risk remain scarce. Hence, we aimed to investigate how changes in two DQIs are associated with incident type 2 diabetes (T2D), myocardial infarction (MI) and stroke in the EPIC-Potsdam study. Changes in the Mediterranean Pyramid Score (MedPyr) and Healthy Diet Score (HDS) over 7 years from baseline (1994–1998) to follow-up 3 (2001–2005) were investigated in 23,548 middle-aged participants. Adjusted Cox Proportional Hazards Regression models were applied to investigate associations between changes in MedPyr and HDS and chronic disease incidence. More than 60% of the participants increased both DQIs more than 5%. Within a median follow-up time of 5 years 568 cases of T2D, 171 of MI, 189 of stroke were verified. An increased compared to stable MedPyr was associated with lower T2D risk (HR 0.74; 95% CI 0.59–0.92), while a decreased MedPyr was associated with higher stroke risk (HR 1.67; 95% CI 1.02–2.72). A decreased compared to stable HDS was associated with higher stroke risk (HR 1.80; 95% CI 1.02–3.20). The findings contribute further evidence on advantages of changing dietary intake towards a Mediterranean Diet. Although baseline HDS adherence was associated with T2D and stroke risk, longitudinal changes in HDS were only significantly associated with stroke risk.

Dietary Patterns of Pregnant Women and Their Association with Diet Quality Measures: A Comparative Analysis.

Healthy dietary patterns during pregnancy are crucial for ensuring maternal and foetal health outcomes. Numerous methodologies exist for assessing the diet of pregnant women, including dietary patterns and various appraisal tools of diet quality. This study aimed to assess the dietary patterns and diet quality of pregnant women and to investigate the relationship between dietary patterns, diet quality estimators, and the adequacy of nutrient intake. EPIC FFQ was applied to a sample of 251 pregnant women, and questionnaires were interpreted with the FETA program. Dietary patterns were then determined by means of principal component analysis. Our results showed a substantial association between dietary patterns and total diet quality, as measured by the Diet Quality Index for Pregnancy (DQI-Pc), PURE Healthy Diet Score, and FIGO Diet Quality Score. We also found correlations between certain dietary patterns and particular nutrient intakes recommended by the European Food Safety Authority during pregnancy. The most deficient intake was registered for iron (86.1%), zinc (87.3%) and magnesium (79.3%), posing a threat to normal bone development, anaemia prophylaxis, and immune status. These results highlight the importance of assessing and understanding eating habits during pregnancy in order to achieve optimal outcomes for both the mother and the foetus.

Association of healthy diet score and adiposity with risk of colorectal cancer: findings from the UK Biobank prospective cohort study.

To explore the joint association of dietary patterns and adiposity with colorectal cancer (CRC), and whether adiposity mediates the relationship between dietary patterns and CRC risk, which could provide deeper insights into the underlying pathogenesis of CRC. The data of 307,023 participants recruited between 2006 and 2010 were extracted from the UK Biobank study. Healthy diet scores were calculated based on self-reported dietary data at baseline, and participants were categorized into three groups, namely, low, intermediate, and high diet score groups. Cox regression models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the effects of the healthy diet score on CRC incidence, adjusting for various covariates. Furthermore, the mediation roles of obesity and central obesity between the healthy diet score and CRC risk were assessed using a counterfactual causal analysis based on Cox regression model. Additionally, joint association between dietary patterns and adiposity on CRC risks was assessed on the additive and multiplicative scales. Over a median 6.2-year follow-up, 3,276 participants developed CRC. After adjusting for sociodemographic and lifestyle factors, a lower risk of CRC incidence was found for participants with intermediate (HR = 0.83, 95% CI: 0.72 to 0.95) and high diet scores (HR = 0.73, 95% CI: 0.62 to 0.87) compared to those with low diet scores. When compared with the low diet score group, obesity accounted for 4.13% and 7.93% of the total CRC effect in the intermediate and high diet score groups, respectively, while central obesity contributed to 3.68% and 10.02% of the total CRC risk in the intermediate and high diet score groups, respectively. The mediating effect of adiposity on CRC risk was significant in men but not in women. Concurrent unhealthy diet and adiposity multiplied CRC risk. Adiposity-mediated effects were limited in the link between dietary patterns and CRC incidence, implying that solely addressing adiposity may not sufficiently reduce CRC risk. Interventions, such as improving dietary quality in people with adiposity or promoting weight control in those with unhealthy eating habits, may provide an effective strategy to reduce CRC risk.

Abstract 2172: Associations between plant- and animal-based dietary patterns and aggressive prostate cancer in the North Carolina-Louisiana prostate cancer project (PCaP)

Abstract Objective: Results of studies examining the association between a plant-based diet or animal food intake and prostate cancer have been mixed. Few studies have focused on aggressive prostate cancer in a racially diverse population. We examined the association between healthy and unhealthy plant-based and animal-based diet scores and aggressive prostate cancer in the North Carolina-Louisiana Prostate Cancer Project, a case-only study of Black and White men in the United States. Methods: Eighteen food groups were created and classified as healthy plant foods, unhealthy plant foods, or animal foods using dietary data collected from an interviewer-administered modified version of the National Cancer Institute Diet History Questionnaire among 909 Black and 991 White men with a histologically confirmed diagnosis of prostate cancer. High aggressive prostate cancer (n=332) was defined as Gleason sum ≥8; or PSA&amp;gt; 20ng/ml; or Gleason sum ≥7 and clinical stage T3-T4, and the comparison group was all other prostate cancer cases (n=1,568). Logistic regression was used to determine the odds ratio (OR) and 95% confidence intervals (95% CI) for high aggressive prostate cancer by tertiles of dietary pattern scores. Results: A decreased odds of aggressive prostate cancer was observed among men in the upper compared to the bottom tertile for healthy plant-based diet score (OR: 0.82, 95% CI: 0.58, 1.15) and unhealthy plant-based diet score (OR: 0.89, 95%CI: 0.63, 1.25) while an increased odds was observed comparing extreme tertiles of the animal-based diet score (OR: 1.17. 95% CI: 0.84-1.65) after adjustment for multiple covariates, though confidence intervals were imprecise and not statistically significant. Associations tended to be stronger among White men than among Black men; e.g., for the animal-based diet score, ORs (95% CIs) were 1.41 (0.86, 2.37) and 1.02 (0.63, 1.66) for White and Black men, respectively. Conclusions: Consuming a plant-based dietary pattern may be associated with lower odds of aggressive prostate cancer while an animal-based dietary pattern may be associated with higher odds, though associations were weak and not statistically significant. Keywords: Healthy plant-based diet, unhealthy plant-based diet, animal-based diet, aggressive prostate cancer, racial disparities Conflict of interest: None Funding: PCaP is carried out as a collaborative study supported by the Department of Defense contract DAMD 17-03-2-0052. This research was made possible in part by Grant Numbers R01-CA259415 from NIH-NCI and T32-GM081740 from NIH-NIGMS. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIGMS or NIH. Citation Format: Jessica Sainyo, Susan E. Steck, Longgang Zhao, L. Joseph Su, Lenore Arab, David Turner, Ebonee N. Butler, Jeannette T. Bensen, Elizabeth T.H. Fontham, James L. Mohler. Associations between plant- and animal-based dietary patterns and aggressive prostate cancer in the North Carolina-Louisiana prostate cancer project (PCaP) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2172.

Abstract P421: Smoking Timing, Healthy Diet, and Risk of Incident CKD Among Smokers: A Cohort Study in UK Biobank

Introduction: While smoking is a recognized risk factor for chronic kidney disease (CKD), the relationship between the smoking timing and CKD remains largely unstudied. Hypothesis: We assessed the hypothesis that there is an association between the smoking timing and the risk of CKD. Method: A total of 32,776 participants with complete data on the time from waking to the first cigarette and free of prevalent CKD from UK Biobank were included in this prospective study. The Cox proportional hazard model was used to investigate the associations between smoking timing and risk of CKD. The potential interactions of smoking timing with risk factors in relation to CKD risk were assessed on both multiplicative and additive scales. Results: During a median follow-up of 12 years, 940 incident CKD cases were reported. Shorter time from waking to the first cigarette was significantly associated with a higher risk of incident CKD ( P -trend=0.012). The adjusted hazard ratio (HR) associated with smoking timing was 1.28 (95% CI: 0.92-1.80) for 61-120 minutes, 1.48 (95% CI: 1.11-1.96) for 30-60 minutes, 1.36 (95% CI: 1.01-1.88) for 5-15 minutes, and 1.70 (95% CI: 1.22-2.37) for &lt;5 minutes, respectively. Those who smoke within 5 minutes of waking had a 70% increased risk of CKD incident compared to those who delayed for over 120 minutes. Furthermore, there was a significant positive additive interaction between the timing of smoking and a healthy diet score ( P for additive interaction=0.01). Conclusion: Our findings indicate a significant association between the shorter time from waking to the first cigarette and a higher CKD risk; and the associations are exacerbated in the presence of an unhealthy diet.

Abstract P401: Association of Healthy Lifestyle Score With Metabolic Syndrome in Hong Kong Chinese Women: An Age-Matched Nested Case-Control Study

Introduction: Limited studies explored the combined effect of lifestyles on metabolic syndrome (MetS), especially in Hong Kong Chinese people. Hypothesis: We assessed the hypothesis that a combination of seven lifestyles, expressed as a healthy lifestyle score (HLS), was inversely associated with MetS. Methods: A nested case-control study was conducted in a cohort named Migraine Exposures and Cardiovascular Health in Hong Kong Chinese Women (MECH-HK). We recruited 4,221 women aged ≥30 years at baseline (2019-2021) and followed up with 3,435 subjects at the second-round survey until September 2023. The MetS was diagnosed based on the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) (2005 version). Women who developed MetS between baseline and second-round survey and had no hypertension, diabetes, hyperlipemia, myocardial infarction, stroke, or cancers at baseline were selected as cases. Age-matched controls were selected using a 1:1 ratio. Seven lifestyles were included in the HLS, each was assigned 0 or 1 point. The 1-point criteria were: smoking (never smoker), physical activity (vigorous physical activity ≥75 min/week), sleep (Pittsburgh Sleep Quality Index ≤5), stress (Perceived Stress Scale-10 ≤13), fatigue (≤ the median of a 10-point Likert scale), diet (≥ the median of a healthy diet score), and alcohol (&lt;20g/day). The overall score ranged from 0 to 7, where a higher score indicated better health. Leave-one-out test was performed by excluding the seven items from the HLS one at a time. A weighted HLS was generated based on the coefficient of each component in multivariable analysis. Results: A total of 123 MetS patients (aged 56.6±7.5 years) and 123 controls (aged 56.9±7.8 years) were included. The number of MetS cases and total subjects for the lowest (0-2 points), middle (3-4 points), and highest (5-7 points) HLS groups were 40/64 (62.5%), 51/107 (47.7%), and 32/75 (42.7%), respectively. Compared to the lowest HLS group, the ORs (95% CIs) for the highest HLS group in univariable and multivariable analysis were 0.45 (0.23, 0.88) (P=0.021) and 0.46 (0.23, 0.94) (P=0.032), respectively. Among the seven components, smoking was the strongest contributor, followed by physical activity and diet. The results were consistent in the leave-one-out test and weighted HLS. Conclusions: Higher HLS was associated with lower MetS risk in Hong Kong Chinese women. The combined healthy lifestyles could benefit the prevention of MetS.

Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults

Understanding the interplay between sleep duration, dietary habits, and the risk of developing type 2 diabetes (T2D) is crucial for public health and diabetes prevention strategies. To investigate the associations of type of diet and duration of sleep with the development of T2D. Data derived from the UK Biobank baseline investigation (2006-2010) were analyzed for this cohort study between May 1 and September 30, 2023. The association between sleep duration and healthy dietary patterns with the risk of T2D was investigated during a median (IQR) follow-up of 12.5 (11.8-13.2) years (end of follow-up, September 30, 2021). For the analysis, 247 867 participants were categorized into 4 sleep duration groups: normal (7-8 hours per day), mild short (6 hours per day), moderate short (5 hours per day), and extreme short (3-4 hours per day). Their dietary habits were evaluated based on population-specific consumption of red meat, processed meat, fruits, vegetables, and fish, resulting in a healthy diet score ranging from 0 (unhealthiest) to 5 (healthiest). Cox proportional hazards regression analysis was used to calculate hazard ratios (HRs) and 95% CIs for the development of T2D across various sleep duration groups and healthy diet scores. The cohort comprised 247 867 participants with a mean [SD] age of 55.9 [8.1] years, of whom 52.3% were female. During the follow-up, 3.2% of participants were diagnosed with T2D based on hospital registry data. Cox regression analysis, adjusted for confounding variables, indicated a significant increase in the risk of T2D among participants with 5 hours or less of daily sleep. Individuals sleeping 5 hours per day exhibited a 1.16 adjusted HR (95% CI, 1.05-1.28), and individuals sleeping 3 to 4 hours per day exhibited a 1.41 adjusted HR (95% CI, 1.19-1.68) compared with individuals with normal sleep duration. Furthermore, individuals with the healthiest dietary patterns had a reduced risk of T2D (HR, 0.75 [95% CI, 0.63-0.88]). The association between short sleep duration and increased risk of T2D persisted even for individuals following a healthy diet, but there was no multiplicative interaction between sleep duration and healthy diet score. In this cohort study involving UK residents, habitual short sleep duration was associated with increased risk of developing T2D. This association persisted even among participants who maintained a healthy diet. To validate these findings, further longitudinal studies are needed, incorporating repeated measures of sleep (including objective assessments) and dietary habits.

Towards objective measurements of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort

BackgroundLow-quality, non-diverse diet is a main risk factor for premature death. Accurate measurement of habitual diet is challenging and there is a need for validated objective methods. Blood metabolite patterns reflect direct or enzymatically diet-induced metabolites. Here, we aimed to evaluate associations between blood metabolite patterns and a priori and data-driven food intake patterns.Methods1, 895 participants in the Northern Sweden Health and Disease Study, a population-based prospective cohort study, were included. Fasting plasma samples were analyzed with 1H Nuclear Magnetic Resonance. Food intake data from a 64-item validated food frequency questionnaire were summarized into a priori Healthy Diet Score (HDS), relative Mediterranean Diet Score (rMDS) and a set of plant-based diet indices (PDI) as well as data driven clusters from latent class analyses (LCA). Orthogonal projections to latent structures (OPLS) were used to explore clustering patterns of metabolites and their relation to reported dietary intake patterns.ResultsAge, sex, body mass index, education and year of study participation had significant influence on OPLS metabolite models. OPLS models for healthful PDI and LCA-clusters were not significant, whereas for HDS, rMDS, PDI and unhealthful PDI significant models were obtained (CV-ANOVA p < 0.001). Still, model statistics were weak and the ability of the models to correctly classify participants into highest and lowest quartiles of rMDS, PDI and unhealthful PDI was poor (50%/78%, 42%/75% and 59%/70%, respectively).ConclusionAssociations between blood metabolite patterns and a priori as well as data-driven food intake patterns were poor. NMR metabolomics may not be sufficiently sensitive to small metabolites that distinguish between complex dietary intake patterns, like lipids.

The Impact of Education Level on Individual Lifestyle Behaviors among Dietetics Students and Professionals.

Lifestyle and habits are acquired in the family environment and then shaped by the potential influence of the environment and received education. In recent years, there has been growing interest in understanding the relationship between sleep and dietary behaviors in various health professionals, including medical and dietetics professionals and students, as well as their self-perceived knowledge and attitudes. Despite the importance of this topic, there is a lack of research on the assessment of individual behaviors in dietetics students and professionals. The aim of this study was to assess the impact of education level on individual behaviors regarding nutrition, sleep, and physical activity in dietetics students and professionals. 71 dietetics students and professionals were enrolled in this study. Their overall knowledge, sleep, and nutritional behavior were assessed with a validated Questionnaire of Eating Behaviors at the beginning of their dietetics university education and then prospectively after a year. It was also compared to dieticians who already graduated. The analysis showed that the educational level did not correlate with sleep length or the physical activity level. However, the educational level was correlated with dietary knowledge and properly self-assessed by the participants. Significant differences were observed in both the prospective and comparative analyses. The educational level and knowledge were not correlated with eating behaviors. The self-assessment of nutritional behaviors also did not correlate with the objective assessment. Sleep length did not correlate with BMI, but it was inversely correlated with overall and healthy diet scores and knowledge levels. On the other hand, physical activity levels were positively correlated with healthy diet scores. Dietary education results in better nutritional knowledge; however, it does not significantly impact individual nutritional behaviors among dietetics students and professionals. Moreover, the inverse relationship between sleep length and nutritional knowledge and behaviors, as well as the positive relationship between physical activity level and dietary behaviors, shows that nutritional aspects of lifestyle are probably prioritized among dietetic students and professionals, with an acknowledgment of the role of physical activity and a neglect of sleep hygiene importance. Dietetics students should be advised to use their theoretical knowledge not only to guide their patients but also to implement it in their own lives.

Relationship between dietary characteristics and heel quantitative ultrasound parameters in postmenopausal women from the OsteoLaus cohort

The role of dietary patterns in the development of osteoporosis is unclear. The heel quantitative ultrasound (QUS) is a potential alternative to Dual X-Ray Absorptiometry. Nutrients, foods, dietary patterns and compliance to dietary guidelines were compared between the lowest and the highest tertiles of QUS parameters [Broadband Ultrasound Attenuation (BUA), Speed of Sound (SOS), Stiffness Index (SI)], using data from the OsteoLaus cohort. Participants in the highest tertiles of QUS parameters (385 for BUA, 397 for SOS, 386 for SI) were younger, of higher body weight, and had less major osteoporotic fractures. Women in the highest tertiles of SI and BUA consumed more fat (35.1 ± 0.4 vs 33.9 ± 0.4 and 34.9 ± 0.4 vs 33.8 ± 0.4 gr/day for SI and BUA, respectively, p < 0.05), and complied less frequently with dairy intake guidelines [odds ratio (95% confidence interval): 0.70 (0.53–0.92) and 0.72 (0.55–0.95) for SI and BUA, respectively, p < 0.05] than women in the lowest tertile. No differences were found regarding dietary patterns, healthy dietary scores, or compliance to dietary guidelines. Postmenopausal women in the highest QUS tertiles were younger, of higher weight and BMI, consumed more monounsaturated fatty acids and less dairy and calcium than women in the lowest tertiles. No differences were found between QUS tertiles regarding dietary patterns.

Joint association of serum urate and healthy diet with chronic obstructive pulmonary disease incidence: results from the UK Biobank study.

Background: The role of serum urate (SU) levels in the development of chronic obstructive pulmonary disease (COPD) remains a topic of debate, and it is unclear whether a healthy diet can mitigate the impact of SU on COPD risk. The objective of this study is to examine whether and to what extent a healthy diet can reduce the risk of COPD in relation to SU levels. Methods: The cohort analysis included 155 403 participants from the UK Biobank. SU levels were measured at the time of recruitment. A healthy diet score was calculated based on the consumption of vegetables, fruits, fish, processed meats, unprocessed red meat, whole grains, and refined grains. The Cox proportional hazards model was used to analyze the associations between SU levels, a healthy diet score, and the risk of COPD. Results: During a follow-up period of 1 409 969 person-years, 2918 incident cases of COPD were identified. Compared with the lowest SU level group, the hazard ratio (HR) and 95% confidence interval (CI) for COPD were 1.17 (1.03, 1.34) for participants with the highest SU level (hyperuricemia), indicating a positive association. Additionally, a dose-response relationship was observed between SU levels and the incidence of COPD (P-value for overall <0.0001). In the combined effect analysis, compared to individuals with high SU (hyperuricemia) + a low diet score (diet score <4), those with normal SU + a high diet score (diet score ≥4) had a HR (95% CI) of 0.75 (0.65, 0.87) for COPD. Conclusions: In summary, there is a positive association between SU levels and the risk of COPD. Furthermore, a healthier diet can mitigate the risk of COPD associated with high SU levels.

Association between longitudinal dietary patterns and changes in obesity: a population-based cohort study.

Research on the trajectory of dietary patterns and changes in obesity has been inconclusive. This study described the dietary intake and adiposity trajectories of Chinese adults and assessed the association between dietary trajectories and changes in body mass index (BMI) and waist-to-hip ratio (WHR). We used data from 3, 643 adults who participated in the China Health and Nutrition Survey from 1997 to 2015. Detailed dietary data were collected by conducting three consecutive 24-h recalls. Multitrajectories of diet scores were identified by a group-based multitrajectory method. We described the change in BMI and WHR using group-based trajectory modeling. We assessed the associations between dietary trajectories and changes in people with obesity using a logistic regression model. Our study revealed four trajectories of low-carbohydrate (LCD) and low-fat diet (LFD) scores. Three adiposity trajectories were identified according to the baseline level and developmental trend of BMI and WHR. Compared with the reference group, which was characterized by sustained healthy dietary habits with healthy diet scores at baseline and sustained maintenance of healthy diet scores, the other three diet trajectories had a higher risk of falling into the adverse adiposity trajectory. Maintaining a healthy LCD and LFD can markedly decrease the risk of adiposity.

Healthy dietary patterns, genetic risk, and gastrointestinal cancer incident risk: a large-scale prospective cohort study

BackgroundDietary patterns have been associated with several cancers, especially gastrointestinal cancer (GIC). However, whether a healthy dietary pattern could modify the risk of GIC among people with different genetic backgrounds is not clear. ObjectiveThe objective of the study was to investigate how dietary patterns and genetic susceptibility contribute to the risk of GIC independently and jointly. MethodsThis large-scale prospective cohort study included 105,463 participants in UK Biobank who were aged 40–72 y and cancer-free at baseline. Dietary intake (Oxford WebQ) was used to calculate dietary pattern scores including dietary approach to stop hypertension (DASH) score and healthful plant-based diet index (hPDI). Genetic risk was quantified by a polygenic risk score (PRS) comprising 129 known GIC-associated loci. Cox proportional hazards regression was performed to estimate the associations of dietary patterns and PRS with GIC incidence after adjusting for potential confounders. ResultsOver a median follow-up of 11.70 y, 1,661 participants were diagnosed with GIC. DASH and hPDI were associated with 20% and 36% reductions, respectively, in GIC risk. Low PRS was associated with a 30 % decrease in GIC risk (HR: 0.70; 95% CI: 0.62, 0.79). Participants with healthy dietary scores at high-genetic risk had a lower GIC risk with HR of 0.77 (95% CI: 0.60, 0.98) for DASH and 0.66 (95% CI: 0.52, 0.84) for hPDI than those with unhealthy dietary score. Participants with both high-dietary score and low-genetic risk showed the lowest risk of GIC, with HR of 0.58 (95% CI: 0.45, 0.75) for DASH and 0.45 (95% CI: 0.34, 0.58) for hPDI. ConclusionsAdherence to DASH and hPDI were associated with a lower risk of some gastrointestinal cancers, and these 2 dietary patterns may partly compensate for genetic predispositions to cancer. Our results advance the development of precision medicine strategies that consider both dietary patterns and genetics to improve gastrointestinal health.

Healthy dietary patterns and the risk of individual chronic diseases in community-dwelling adults

It is unclear regarding associations of dietary patterns with a wide range of chronic diseases and which dietary score is more predictive of major chronic diseases. Using the UK Biobank, we examine associations of four individual healthy dietary scores with the risk of 48 individual chronic diseases. Higher Alternate Mediterranean Diet score is associated with a lower risk of 32 (all 8 cardiometabolic disorders, 3 out of 10 types of cancers, 7 out of 10 psychological/neurological disorders, 5 out of 6 digestive disorders, and 9 out of 14 other chronic diseases). Alternate Healthy Eating Index-2010 and Healthful Plant-based Diet Index are inversely associated with the risk of 29 and 23 individual chronic diseases, respectively. A higher Anti-Empirical Dietary Inflammatory Index is associated with a lower risk of 14 individual chronic diseases and a higher incidence of two diseases. Our findings support dietary guidelines for the prevention of most chronic diseases.