Dietary Pattern Scores Research Articles

Sex differences and dietary patterns in the association of air pollutants and hypertension

BackgroundHypertension is one of the major public health problems in China. Limited evidence exists regarding sex differences in the association between hypertension and air pollutants, as well as the impact of dietary factors on the relationship between air pollutants and hypertension. The aim of this study was to investigate the sex-specific effects of dietary patterns on the association between fine particulate matter (PM2.5), ozone(O3) and hypertension in adults residing in Jiangsu Province of China.MethodsA total of 3189 adults from the 2015 China Adult Chronic Disease and Nutrition Surveillance in Jiangsu Province were included in this study. PM2.5 and O3 concentrations were estimated using satellite space-time models and assigned to each participant. Dietary patterns were determined by reduced rank regression (RRR), and multivariate logistic regression was used to assess the associations of the obtained dietary patterns with air pollutants and hypertension risk.ResultsAfter adjusting for confounding variables, we found that males were more sensitive to long-term exposure to PM2.5 (Odds ratio (OR) = 1.42 95%CI:1.08,1.87), and females were more sensitive to long-term exposure to O3 (OR = 1.61 95%CI:1.15,2.23). Traditional southern pattern identified through RRR exhibited a protective effect against hypertension in males (OR = 0.73 95%CI: 0.56,1.00). The results of the interaction between dietary pattern score and PM2.5 revealed that adherence to traditional southern pattern was significantly associated with a decreased risk of hypertension in males (P < 0.05), while no significant association was observed among females.ConclusionsOur findings suggested that sex differences existed in the association between dietary patterns, air pollutants and hypertension. Furthermore, we found that adherence to traditional southern pattern may mitigate the risk of long-term PM2.5 exposure-induced hypertension in males.

The association of major dietary patterns with odds and severity of anxiety disorders: a case–control study

ABSTRACT Background: In the present study, we explored the association between major dietary patterns, odds, and severity of anxiety disorders, which has not been clarified to date. Methods: This case–control study was conducted on 85 patients who were group-matched by gender with 170 healthy subjects. Dietary intakes were evaluated applying a 147-item validated food frequency questionnaire (FFQ). Anthropometric data collection was accomplished based on precise clinical assessments. Major dietary patterns were identified using principal component analysis (PCA). Multivariate odds ratios (OR) with 95% confidence intervals (CI) were used to investigate the association of the identified dietary patterns with anxiety disorders. Multiple linear regression analysis was used to evaluate the association between the GAD-7 score and major dietary pattern scores. Results: Three major dietary patterns were derived through PCA labeled as ‘healthy’, ‘Western’, and ‘Mixed’. Those in the top tertile of the healthy dietary pattern were less likely to have anxiety disorders (OR = 0.26; 95%CI: 0.10, 0.66), while no significant relationship was found between Western and mixed dietary patterns and the odds of anxiety disorders. The severity of anxiety disorders, assessed by the GAD-7 score, was reduced by higher adherence to healthy dietary pattern (P = 0.003), and increased by greater adherence to mixed (P = 0.002) and Western (P = 0.001) dietary patterns. Conclusion: We provided evidence demonstrating an inverse association of healthy dietary pattern with odds, and severity of anxiety disorders. Also, higher adherence to Western and mixed dietary patterns resulted in greater GAD-7 scores.

The association between paleolithic diet pattern scores and psychological disorders in Iranian adults

ABSTRACT Background There is evidence indicating that the transition from traditional Paleolithic lifestyle to contemporary lifestyle plays a significant impact in the occurrence and widespread of psychological problems. This study aimed to examine the associations between the Paleolithic diet (PD) and the Paleolithic-like lifestyle and the likelihood of psychological issues in adults. Materials and methods A cross-sectional study was conducted on 7165 participants who were enrolled in the Yazd Health Study (YaHS) and Yazd Nutrition Study (TAMYZ). To evaluate the participants’ food intake, a reliable 178-item semi-quantitative food frequency questionnaire (FFQ) was utilized. The PD score was computed using the food intakes of subjects received from FFQ. The study utilized the authorized Iranian version of the Depression, Anxiety, and Stress Scale (DASS 21) to evaluate psychological illnesses and stress levels. Results The mean ± SD of PD and Paleolithic-like lifestyle scores were 38.93 ± 5.27 and 48.48 ± 5.61, respectively. Based on the findings of the present study, after adjusting for potential confounders, it seems that increasing adherence to PD alone or in combination with lifestyle factors significantly reduces the risk of anxiety (OR = 0.68, 95% CI 0.49–0.96; P-trend = 0.044 and OR = 0.68, 95% CI 0.48–0.96; P-trend = 0.047, respectively). However, significant effects on the risk of depression and stress were not observed. Conclusions Our research indicates that adhering to a Paleolithic diet, either alone or in conjunction with lifestyle factors, significantly reduces the risk of anxiety in the general population.

Correlation of dietary inflammation index and dietary pattern with mild cognitive impairment in patients with type 2 diabetes

ObjectiveWe aimed to determine the dietary patterns associated with mild cognitive impairment (MCI) in type 2 diabetes (T2DM) and the correlation of dietary inflammatory index (DII) with MCI. MethodsThe Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. A semi-quantitative food frequency questionnaire was used to collect dietary data and calculate DII. Dietary patterns were determined by reduced-rank regression (RRR), grouping dietary pattern scores and DII into quartiles, with logistic regression for correlation analysis. Dose–response relationships between dietary pattern scores, DII and diabetic MCI were explored using restricted cubic splines (RCS). A mediation analysis was performed to investigate whether DII mediates the association between dietary patterns and MCI. ResultsIn the “Mediterranean-style dietary pattern”, the multivariable-adjusted odds ratio of having MCI was 0.37 (95% CI: 0.20–0.68; p for trend=0.002) in the highest versus lowest quartiles of the dietary score. In the “high-meat and low-vegetable pattern”, the multivariable-adjusted odds ratio of having MCI was 6.84 (95% CI: 3.58–13.10; p for trend<0.001) in the highest versus lowest quartiles of the dietary score. In the “Western-style dietary pattern”, the multivariable-adjusted odds ratio of having MCI was 2.48 (95% CI: 1.38–4.46; p for trend=0.001). The multivariable-adjusted odds ratio of having MCI was 3.99 (95% CI: 2.14–7.42; p for trend<0.001) in the highest versus lowest quartiles of DII.There is a non-linear dose–response relationship between the “high-meat and low-vegetable pattern” score and the prevalence of MCI, as well as the DII and the prevalence of MCI. The DII partially mediated the impact of the “Mediterranean-style dietary pattern” and the “high-meat and low-vegetable pattern” on MCI. ConclusionIn T2DM patients, greater adherence to the “Mediterranean-style dietary pattern” is associated with a lower probability of having MCI. However, excessive consumption of meat, especially red meat and processed meat, combined with a lack of vegetable intake, is associated with a higher probability of having MCI. Greater adherence to the “Western-style dietary pattern” is associated with a higher probability of having MCI. In addition, a pro-inflammatory diet is associated with a higher probability of having MCI, and DII partially mediates the impact of dietary patterns on MCI.

A Dietary Pattern With More Fruits and Vegetables in Children of Mothers Who Immigrated to the United States From Latin America Is Associated With Healthful Nutrient Intake and Weight Status

BackgroundChildren from families who immigrated to the United States may consume a lower-quality diet compared with their US-born peers. However, specific features of their dietary patterns, which could be a focus for improving diet quality, are not well-studied. ObjectiveThe aim of this study was to examine dietary patterns that distinguish interpersonal variability in dietary intake and explore the association of dietary patterns with nutrient intake and weight status. DesignThis study was a cross-sectional analysis of baseline data from the Live Well randomized controlled trial collected between 2009 and 2010. Participants/settingStudy participants included 313 children (3-12 years) whose mothers immigrated to the United States from Latin America and resided in Somerville, Massachusetts. Main outcome measuresDietary patterns (derived using principal component analysis); nutrient intake (derived from dietary data collected using the Block Food Screener); and weight status (categorized using body mass index z score based on measured height and weight). Statistical analyses performedNutrient intake levels were compared across quartiles for dietary patterns using analysis of covariance. Multivariable logistic or linear regression models were used to determine the associations between dietary pattern scores and odds of overweight or obesity or z scores. ResultsTwo dietary patterns emerged: “fruits and vegetables” and “meat and sweets.” Highest adherence to the fruits and vegetables pattern was associated with more healthful nutrient intake and lower odds of having overweight or obesity (odds ratio 0.37; 95% CI 0.16 to 0.98), but not body mass index z score (β = –.07; 95% CI –.51 to 0.36) compared with the lowest adherence. Adherence to the meat and sweets pattern was associated with less healthful nutrient intake but not with the odds of experiencing overweight or obesity (odds ratio 0.48; 95% CI 0.16 to 1.46). ConclusionsA healthful dietary pattern in children of families who immigrated to the United States from Latin America may include a variety of fruits and vegetables. Longitudinal studies should be conducted to further assess the role of dietary intake patterns on the health of these children.

Dietary patterns and dietary phytochemical index are associated with major depression disorder in females: A case–control study

Background and aimsPrevious research has linked dietary patterns to depressive disorders, however, there are limited data on the association between the consumption of diets rich in phytochemicals and these disorders. This study aimed to investigate the association between dietary patterns and dietary phytochemical index (DPI) and major depression disorder (MDD) in Iranian females. MethodsThis case–control study was performed on 261 Iranian women (18–65 years, 87 cases, and 174 controls). Food intakes were assessed using a validated semi-quantitative food frequency questionnaire (FFQ). Depression was evaluated by a psychiatrist according to DSM IV criteria. We used factor analysis to extract dietary patterns and binary logistic regression to assess the relationship between dietary pattern scores and depression. ResultsTwo major dietary patterns were identified: healthy and unhealthy patterns. After controlling for these variables, participants in the highest tertile of the healthy dietary pattern had significantly lower OR for major depression (OR=0.371; 95% CI: 0.168–0.819, p=.014). The second tertile of the unhealthy dietary pattern, compared with the lowest tertile had a higher OR for major depression (OR=3.162; 95% CI: 1.451–6.889, p=0.004). Also, women in the lowest tertile of DPI had a higher risk of major depression (OR 2.668; 95% CI 1.297, 5.491, p=.008) compared with those in the highest tertile. ConclusionsWe found that adherence to a healthy dietary pattern and high intakes of phytochemicals is associated with reduced risk, while an unhealthy dietary pattern is associated with an elevated risk of major depression.

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.

Healthy and Unhealthy Dietary Patterns of Depressive Symptoms in Middle-Aged Women.

Depressive symptoms are a common menopausal feature in middle-aged women and are associated with dietary factors. This study aimed to determine the association between dietary patterns and depressive symptoms in 2190 Korean women aged 45-69 years. Depressive symptoms were screened using the Beck Depression Inventory-II (BDI-II), and food intake was examined using a food frequency questionnaire. Dietary patterns were derived from principal components analysis and identified two dietary patterns: a "healthy" dietary pattern (high intake of whole-grain rice, legumes, vegetables, fruits, and fish) and an "unhealthy" dietary pattern (high intake of noodles, dumplings, sweets, red meat, soda, and coffee). After adjusting for all confounding factors, those with the highest healthy dietary pattern scores had a 0.56-fold lower risk of depressive symptoms than those with the lowest score (Odds Ratio (OR) = 0.56, 95% confidence interval (CI): 0.37-0.84, p for trend = 0.006). Conversely, those with the highest unhealthy pattern scores had a 1.85-fold higher risk of depressive symptoms than that of those in the lowest quartile (OR = 1.85, 95% CI: 1.30-2.63, p for trend = 0.002). In middle-aged women, a dietary pattern of high intake of fiber-rich whole-grain rice, fruits, vegetables, and legumes may help prevent and manage depressive symptoms.

Assessment of dietary patterns in celiac disease patients using factor analysis method and their relationship with dietary intakes and body mass index

Background/ObjectivesCeliac disease (CD) is a systemic and autoimmune enteropathy of the gastrointestinal tract with malabsorption characteristics. The only effective treatment for CD is adhere strictly to a gluten-free diet (GFD) throughout life. We evaluated the dietary patterns in celiac disease patients and their association with dietary intakes and anthropometric measurements in Iran.Subjects/MethodsThis is a case-control study on 182 participants who were referred to the Khuzestan Celiac Association, Iran. Nutritional information was collected using a validated 147-item semi-quantitative food frequency questionnaire (FFQ). The software Stata (StataCorp, Version 14.0) was used to analyze the data. Principal component analysis (PCA) was used to obtain participants’ dietary patterns.ResultsA significant relationship was observed between age and body mass index (BMI) across quartiles of the healthy dietary pattern score (P < 0.001, P = 0.001, and P = 0.001, respectively), indicating that as age and BMI increased, participants demonstrated greater adherence to the healthy dietary pattern. Individuals with the highest adherence to the healthy dietary pattern had the lowest odds ratio for celiac disease (CD) (Q1: reference; Q2: 1.96, 95% CI: 0.84–4.55; Q3: 0.61, 95% CI: 0.27–1.42; Q4: 0.10, 95% CI: 0.03–0.33, P trend < 0.001), and this association remained significant after adjusting for BMI (adjusted P trend = 0.003) and energy intake (adjusted P trend < 0.001). Moreover, there was a significant association between the lowest odds ratio for CD and the highest adherence to the unhealthy dietary pattern after adjustment for energy intake (Q1: reference; Q2: 0.38, 95% CI: 0.13–1.12; Q3: 0.21, 95% CI: 0.06–0.71; Q4: 0.07, 95% CI: 0.02–0.29, adjusted P trend < 0.001). Additionally, a significant association was observed between the odds ratio for CD and the mixed dietary pattern score (Q1: reference; Q2: 6.01, 95% CI: 2.29–15.72; Q3: 2.47, 95% CI: 0.93–6.55; Q4: 4.84, 95% CI: 1.84–12.66, P trend = 0.02), and this association remained significant after adjustment for energy intake (adjusted P trend < 0.001).ConclusionsThe findings of the present study indicate that individuals who adhere to healthy dietary patterns have a lower incidence of celiac disease.

Sex-specific impact of dietary patterns on liver cancer incidence: updated results from two population-based cohort studies in China.

The associations between dietary patterns and liver cancer risk have received much attention, but evidence among the Chinese population is scarce. This study aims to update the results of two cohort studies and provide the sex-specific associations in the Chinese population. This study was based on two cohorts from the Shanghai Men's Health Study (SMHS) and the Shanghai Women's Health Study (SWHS). Diet information was collected by validated food frequency questionnaires. Dietary patterns were derived by factor analysis. Cox regression model was utilized to estimate the hazard ratio (HR) and 95% confidence interval (CI) for associations between dietary patterns and liver cancer risk. During median follow-up years of 11.2 (male) and 17.1 (female) years, 427 males and 252 females were identified as incident primary liver cancer cases. In males, vegetable-based dietary pattern was inversely associated with liver cancer (HRQ4-Q1: 0.67, 95%CI 0.51-0.88, Ptrend < 0.001). Interaction analysis indicated that in males lower vegetable-based dietary pattern score and older age/medical history of chronic hepatitis combined increase the hazard of liver cancer more than the sum of them, with a 114% and 1061% higher risk, respectively. In females, the fruit-based dietary pattern was associated with a reduced risk of liver cancer (HRQ4-Q1: 0.63, 95%CI 0.42-0.95, Ptrend = 0.03). In both males and females, null associations were observed between the meat-based dietary pattern and the risk of liver cancer. A vegetable-based dietary pattern in males and a fruit-based dietary pattern in females tended to have a protective role on liver cancer risk. This study provided updated information that might be applied to guide public health action for the primary prevention of liver cancer.

Dietary patterns derived by reduced rank regression are associated with lipid disorders among Korean adults: a cross-sectional analysis

BackgroundLipid disorders are a potent risk factor for cardiovascular diseases. Moreover, the intake of dietary fatty acids has been closely related to blood lipid levels. Therefore, this cross-sectional study examined the associations between dietary patterns related to fatty acid intake and lipid disorders in Korean adults.MethodsFrom the 2013–2019 Korea National Health and Nutrition Examination Surveys data, 8399 men and 11404 women (aged ≥ 19 years) were selected. Reduced rank regression was employed to identify dietary patterns from 26 food groups, aiming to explain the maximum variation in the intake of saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA), omega-3 fatty acids, and the PUFA/SFA ratio. Associations of quintiles (Q) of dietary pattern scores with lipid disorders were examined using multiple logistic regression stratified by sex.ResultsThree dietary patterns were identified: dietary pattern 1 showed positive factor loadings for vegetable oils, seasonings, legumes, nuts, and fish; dietary pattern 2 was high in consumption of red meat, bread and snacks, and milk and dairy products; and dietary pattern 3 was rich in fish and milk and dairy products. In men, dietary pattern 3 was inversely associated with elevated triglycerides (Q5 vs. Q1: odds ratio [OR] = 0.82, 95% confidence interval [CI] = 0.69–0.97, P-trend = 0.008). In women, dietary pattern 2 was positively associated with elevated total cholesterol (OR = 1.31, 95% CI = 1.12–1.52, P-trend < 0.001) but inversely associated with low HDL-cholesterol (OR = 0.70, 95% CI = 0.59–0.83, P-trend < 0.001).ConclusionIn this study, dietary patterns explaining the intake of various types of fatty acids were differentially associated with lipid disorders in Korean adults. Dietary pattern characterized by higher intakes of red meat, bread and snacks and milk and dairy products were positively associated with elevated total cholesterol, whereas dietary pattern rich in fish consumption showed an inverse association with elevated triglycerides. These findings could be instrumental in developing dietary guidelines and strategies for preventing and managing lipid disorders in this population.

Towards consistency in dietary pattern scoring: standardising scoring workflows for healthy dietary patterns using 24-h recall and two variations of a food frequency questionnair.

Healthy dietary patterns such as the Mediterranean diet (MeDi), Dietary Approaches to Stop Hypertension (DASH) and the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) have been evaluated for their potential association with health outcomes. However, the lack of standardisation in scoring methodologies can hinder reproducibility and meaningful cross-study comparisons. Here we provide a reproducible workflow for generating the MeDi, DASH and MIND dietary pattern scores from frequently used dietary assessment tools including the 24-h recall tool and two variations of FFQ. Subjective aspects of the scoring process are highlighted and have led to a recommended reporting checklist. This checklist enables standardised reporting with sufficient detail to enhance the reproducibility and comparability of their outcomes. In addition to these aims, valuable insights in the strengths and limitations of each assessment tool for scoring the MeDi, DASH and MIND diet can be utilised by researchers and clinicians to determine which dietary assessment tool best meets their needs.

Associations between diet quality and dietary patterns and gestational diabetes mellitus in a low-risk cohort of pregnant women in Australia: a cross-sectional study.

Evidence of associations between the Mediterranean Diet Score (MDS) and Dietary Approaches to Stop Hypertension (DASH) score and gestational diabetes mellitus (GDM) in pregnant women is limited. This study examined changes in MDS and DASH and dietary patterns in Australian pregnant women between early and late pregnancy and their associations with GDM. The data from n = 284 participants were analysed. Diet quality indices and empirical dietary patterns were determined in early (15 ± 3 weeks gestation) and late pregnancy (35 ± 2 weeks gestation). Paired t-tests were used to examine changes in scores for diet quality indices and dietary patterns from early to late pregnancy. Logistic regression analysis was used to examine associations between GDM, diet quality indices and dietary patterns. Three major dietary patterns were identified at early pregnancy. The first and second dietary patterns included unhealthier and healthier food groups, respectively, and the third comprised mixed food groups. Although diet quality scores did not change over time, consumption of the first dietary pattern increased (p = 0.01), and consumption of the second dietary pattern decreased by late pregnancy in women without GDM (p < 0.001). No associations between DASH score, MDS and GDM were found; however an inverse association was observed between the first dietary pattern and GDM in late pregnancy (p = 0.023). Longitudinal studies are needed to examine diet quality and dietary patterns at early and late pregnancy to inform the development of tailored dietary advice for GDM.

Dietary patterns and the risk of tuberculosis-drug-induced liver injury: a cohort study.

Nutrition is associated with tuberculosis drug-induced liver injury (TBLI). How dietary patterns relate to tuberculosis drug-induced liver injury is still unknown. The objective of this study is to explore the relation between dietary patterns and the risk of tuberculosis drug-induced liver injury. This cohort study was conducted at two hospitals in Shandong Province, China, between 2011 and 2013. A total of 605 tuberculosis patients were included in the final analysis. The blood aspartate aminotransferase or alanine aminotransferase level was monitored through the 6-month tuberculosis treatment. The semi-quantitative food frequency questionnaires were used to survey dietary intake in the second month of the tuberculosis treatment. The China Healthy Diet Index (CHDI), which was previously validated in the Chinese population, was used as an a priori dietary pattern. A posteriori dietary patterns were extracted by principal component analysis (PCA). The CHDI was negatively associated with the risk of liver injury [adjusted odds ratio (aOR) per standard deviation (SD) (95% CI): 0.61 (0.40-0.94)] and liver dysfunction [aOR per SD (95% CI): 0.47 (0.35-0.64)] in the multivariate logistic model. A positive association between "Organ meat, poultry, and vegetable oil" dietary pattern scores (extracted by PCA) and the risk of liver injury [aOR (95% CI): 3.02 (1.42-6.41)] and liver dysfunction [aOR (95% CI): 1.83 (1.09-3.05)] was observed. In conclusion, a high CHDI score was a protective factor for tuberculosis drug-induced liver injury, while the "Organ meat, poultry, and vegetable oil" dietary pattern, which was rich in organ meat, poultry, and vegetable oil and low in vegetables, was an independent risk factor for tuberculosis drug-induced liver injury.

Cross-sectional and longitudinal associations between empirically derived dietary patterns and frailty among older men: The Concord Health and Ageing in Men Project.

Diet may be associated with frailty. We aimed to evaluate the associations between empirically derived dietary patterns and frailty in older men. Prospective cohort study. The Concord Health and Ageing in Men Project, Sydney, Australia. 785 community-dwelling older Australian men aged 75 years and older. Men underwent dietary assessment using a validated dietitian-administered diet history questionnaire. Factor analysis identified three dietary patterns. Multinomial logistic regression was conducted between frailty and dietary patterns for cross-sectional analyses and longitudinal analyses over a 3-year follow-up. Frailty was defined by the Fried frailty phenotype. Of the 785 men, pre-frailty was prevalent in 47.1% (n = 370), and frailty in 8.3% (n = 65). In fully adjusted cross-sectional analyses, the top tertile and a higher 'vegetables-legumes-seafood' dietary pattern score were associated with reduced prevalence of frailty (OR 0.34 [95% CI: 0.12, 0.93, P = .036]) and OR 0.50 [95% CI: 0.30, 0.83, P = .007] respectively). The top tertile of the 'discretionary-starchy vegetables-processed meats' dietary pattern was also associated cross-sectionally with increased prevalence of pre-frailty (OR 1.75 [95% CI: 1.08, 2.83, P = .022]). Of the 296 robust men in fully adjusted longitudinal analyses, the incidence of pre-frailty was 52.4% (n = 155), and frailty was 5.4% (n = 16) over a 3-year follow-up. The middle tertile of the 'vegetables-legumes-seafood' dietary pattern had a non-significant trend towards reduced incident pre-frailty (OR 0.52 [95% CI: 0.27, 1.00, P = .050]). Consumption of a 'vegetables-legumes-seafood' dietary pattern appears to be less favoured by frail older men.

Dietary patterns and socioeconomic, demographic, and health-related behaviors during pregnancy. A cross-sectional study.

The identification and understanding of dietary factors and other characteristics that influence gestational weight gain can contribute to the formulation of strategies to promote healthy eating habits before and during pregnancy. To investigate the association between dietary patterns, sociodemographic and obstetric characteristics, and health-related behaviors in pregnant women. A cross-sectional study was conducted on women undergoing prenatal care in the Unified Health System of Colombo, Paraná, Brazil, from February 2018 to September 2019. A weekly food frequency questionnaire was administered, and dietary patterns were identified through factor analysis. Median regression models were constructed to identify the associations between dietary pattern scores and variables. Complete data were obtained from 495 pregnant women. Three dietary patterns were identified: 1) "healthy," with higher factor loadings for the weekly consumption of raw vegetables, cooked vegetables, and fresh fruits; 2) "Western," including soft drinks or artificial juice, candies, milk, and dairy products, and processed cold meat; and 3) "traditional," beans and meat. Pregnant women aged 30 years or older (coefficient [Coef.] 0.86, 95% confidence interval [CI] 0.38-1.33) with moderate/intense physical activity (Coef. 0.32, 95% CI 0.02-0.62) had higher adherence to the "healthy" pattern. Adolescents and smokers adhered more to the "traditional" pattern (Coef. 0.17, 95% CI 0.01-0.33). Age, smoking status, and physical activity were associated with dietary patterns in pregnant women.

Association of Cantonese dietary patterns with mortality risk in older Chinese: a 16-year follow-up of a Guangzhou Biobank cohort study.

Background: Evidence about the associations between Cantonese dietary patterns and mortality is scarce. We examined the prospective association of the dietary pattern with all-cause, cancer and cardiovascular disease (CVD) mortality in older Chinese. Methods: We included 19 598 participants of a Guangzhou Biobank cohort study aged 50+ years, who were recruited from 2003 to 2006 and followed up until July, 2022. The diet was assessed by using a 300-item validated food frequency questionnaire. The food items were collapsed into 27 food groups. Factor analysis (FA) was used to identify dietary patterns. Multivariable Cox regression produced hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. Results: During 305 410 person-years, 4966 deaths including 1971 CVD, 1565 cancer and 1436 other-causes occurred. Four dietary patterns were identified by FA. No association of the vegetable-based dietary pattern with all-cause, CVD and cancer mortality was found. Compared with the lowest quartile of the healthy Cantonese dietary pattern score, the highest quartile showed lower risks of all-cause (HR 0.86, 95% CI 0.80-0.94) and CVD mortality (HR 0.84, 95% CI 0.72-0.97). The highest quartile of the nut and fruit dietary pattern showed lower risks of all-cause (HR 0.92, 95% CI 0.85-0.99) and CVD mortality (HR 0.82, 95% CI 0.72-0.93), while the unhealthy western dietary pattern was associated with a higher risk of all-cause (HR 1.10, 95% CI 1.01-1.19) and cerebrovascular disease mortality (HR 1.28, 95% CI 1.03-1.58). Conclusion: We have first identified four dietary patterns based on the Cantonese cuisine and found that healthy Cantonese and nut and fruit dietary patterns were associated with lower risks of all-cause and CVD mortality, whereas the unhealthy western dietary pattern was associated with a higher risk of all-cause and cerebrovascular disease mortality.

Empirically derived dietary patterns in relation to periodontitis and number of teeth among Norwegian adults.

To explore dietary patterns in relation to periodontitis and number of teeth. A cross-sectional study. We used data from the seventh survey of the Tromsø Study in Norway, 2015-2016. Three periodontitis groups were compared: (i) no periodontitis/slow bone loss; (ii) moderate bone loss; and (iii) rapid bone loss. Number of teeth was categorised as 25-28, 20-24 and ≤ 19. Dietary patterns were identified by principal component analysis. Multiple logistic regression was applied to examine associations between tertiles of dietary pattern scores and periodontitis, and between these same tertiles and number of teeth. 1487 participants (55·5 % women) aged 40-79 years who were free of major chronic diseases, attended an oral health examination and completed a FFQ. Four dietary patterns were identified, which explained 24 % of the total variability in food intake: fruit and vegetables, Westernised, meat/fish and potatoes, and refined grain and dessert. The fruit and vegetables pattern was inversely associated with periodontitis characterised by rapid bone loss when compared with no periodontitis/slow bone loss (OR tertile 3 v. 1 0·49, 95 % CI: 0·25, 0·98). Participants who were in the highest tertile of the refined grain and dessert pattern (tertile 3 v. 1) had 2·38- and 3·52-fold increased odds of having ≤ 19 than 20-24 and 25-28 teeth, respectively. Out of four identified dietary patterns, only the fruit and vegetables pattern was negatively associated with advanced periodontitis. A more apparent positive association was observed between the refined grain and dessert pattern and having fewer teeth (≤ nineteen teeth).

Empirical Dietary Inflammatory Pattern is positively associated with polycystic ovary syndrome: A case control study

Polycystic ovary syndrome (PCOS), as the most common endocrine disorder in women of reproductive age, is influenced by various factors. Because there is evidence linking inflammation with chronic diseases, we hypothesized that there is a relationship between an empirical dietary inflammatory pattern score (EDIP) with odds of PCOS among the adult population. This case control study was conducted on Tehranian women in Iran. A total of 494 participants (203 women with PCOS in the case group and 291 healthy people in the control group), aged 18 to 45 years, were recruited for the study. Demographic information, anthropometric indices, physical activity level, and dietary intake were collected by a trained nutritionist. EDIP score was calculated to estimate overall dietary inflammatory potential based on 18 food groups. Statistical analysis was performed with SPSS version 19. Based on the results, the mean age of participants in the case and control groups were 28.98 ± 5.43 and 30.15 ± 6.21 years, respectively. Individuals with PCOS had a significantly higher difference in EDIP score compared with healthy participants (2.03 ± 1.13 vs 1.70 ± 0.93, P < .001). Also, the odds ratio and 95% confidence interval for the risk of PCOS across quartiles of EDIP showed a significant direct relationship (P = .003). In conclusion, our study showed that there was a direct association between PCOS risk and EDIP score. Findings suggest that inflammatory index might be a potential mechanism linking diet and PCOS development.

Abundance of Prevotella copri in gut microbiota is inversely related to a healthy diet in patients with type 2 diabetes.

While the gut microbiota is known to be influenced by habitual food intake, this relationship is seldom explored in type 2 diabetes patients. This study aims to investigate the relationship between dietary patterns and gut microbial species abundance in 113 type 2 diabetes patients (mean age, 58 years; body mass index, 29.1; glycohemoglobin [HbA1c], 8.1%). We analyzed the gut microbiota using 16S amplicon sequencing, and all patients were categorized into either the Bacteroides enterotype (57.5%, n = 65) or the Prevotella enterotype (42.5%, n = 48) using the partitioning around medoids clustering algorithm, based on the most representative genera. Patients with the Bacteroides enterotype showed better glycemic control with a 2.71 odds of HbA1c ≤ 7.0% compared to the Prevotella enterotype (95% confidence interval, 1.02-7.87; P, 0.034). Dietary habits and the nutrient composition of all patients were assessed using a validated food frequency questionnaire. It was observed that the amounts of dietary fiber consumed were suboptimal, with an average intake of 16 g per day. Additionally, we extracted four dietary patterns through factor analysis: eating-out, high-sugar foods, fish-vegetable, and fermented foods patterns. Patients with the Bacteroides enterotype had higher scores for the fish-vegetable pattern compared to the Prevotella enterotype (0.17 ± 0.13 versus -0.23 ± 0.09; P, 0.010). We further investigated the relationship between the microbiota and the four dietary patterns and found that only the fish-vegetable dietary pattern scores were correlated with principal coordinate values. A lower pattern score was associated with the accumulated abundance of the 31 significant microbial features. Among these features, Prevotella copri was identified as the most significant by using a random forest model, with an area under the receiver operating characteristic of 0.93 (95% confidence interval, 0.88-0.98). To validate these results, we conducted a custom quantitative polymerase chain reaction assay. This assay confirmed the presence of P. copri (sensitivity, 0.96; specificity, 0.97) in our cohort, with a prevalence of 47.8%, and a mean relative abundance of 21.0% in subjects harboring P. copri. In summary, type 2 diabetes patients with the Prevotella enterotype demonstrated poorer glycemic control and deviations from a healthy dietary pattern. The abundance of P. copri, as a major contributing microbial feature, was associated with the severity in the deficiency in dietary fish and vegetables. Emphasis should be placed on promoting a healthy dietary pattern and understanding the microbial correlations.