Plant-based Pattern Research Articles

The association between dietary patterns before pregnancy and gestational diabetes mellitus: a matched case-control study in China.

We aimed to explore the relationship between dietary patterns and gestational diabetes mellitus (GDM) during pre-pregnancy six months using principal component analysis (PCA) and the geometric framework for nutrition (GFN). We conducted a case-control study that included 210 GDM pregnant women and 210 controls. The dietary intake of all participants was assessed by a validated semi-quantitative food frequency questionnaire (FFQ). Major dietary patterns were extracted by PCA. A conditional logistic regression model was used to determine whether specific dietary patterns are associated with the risk of GDM. Meanwhile, the relationship between dietary patterns and GDM was visualized using GFN. Four major dietary patterns were identified: "protein-rich pattern," "plant-based pattern," "oil-pickles-desserts pattern," and "cereals-nuts pattern." After adjustment for confounders, the "plant-based pattern" was associated with decreased risk of GDM (Q4 vs. Q1: OR = 0.01, 95% CI: 0.00-0.08), whereas no significant association was found in other dietary patterns. Moreover, there was no dietary intake of ice cream cones and deep-fried dough sticks for the population, which would produce fewer patients with GDM. Deep-fried dough sticks had statistically significant differences in the case and control groups (p < 0.001), while ice cream cones had the opposite result. The "plant-based pattern" may reduce the risk of GDM. Besides, although the "cereals-nuts pattern" had no association with GDM risk, avoiding the intake of deep-fried dough sticks could decrease GDM risk.

Dietary pattern and risk of hyperuricemia: an updated systematic review and meta-analysis of observational studies.

The associations of posteriori dietary patterns with the risk of hyperuricemia (HUA) are contradictory. Several fair-quality observational studies with inconsistent results have been published following a prior review. Herein, we carried out an updated systematic review and meta-analysis to quantitatively analyze the aforementioned relationships. Our analysis protocol has been registered with PROSPEPO (Number: CRD42022376745). English publications were searched in Embase, PubMed, and Web of Science from inception to January 1, 2024. Summary odds ratio (OR) and 95% confidence intervals (CIs) were calculated by a random-effects model. We also conducted subgroup, sensitivity, and meta-regression analyses and publication bias assessments. Thirteen studies with a total of 163,192 participants were included in the current meta-analysis. Our finding revealed that the plant-based pattern was linked with a 17% decreased risk of HUA (OR = 0.83, 95%CI = 0.72-0.94, I2 = 72.9%, n = 10). There was no evidence of publication bias in the present analysis. The results of subgroup analyses were generally consistent with the main findings. In meta-regression analyses, no evidence of heterogeneity was detected in the subgroups. Furthermore, our analyses indicated that the animal-based food pattern (OR = 1.36, 95%CI = 1.25-1.47, I2 = 26.7%, n = 11) and sweet food pattern (OR = 1.24, 95%CI = 1.06-1.46, I2 = 0, n = 2) was related to an increased risk of HUA. The plant-based pattern is inversely correlated with HUA risk, whereas animal-based food patterns and sweet food patterns are positively correlated with HUA risk.

Geographical Distribution of Dietary Patterns and Their Association with T2DM in Chinese Adults Aged 45 y and Above: A Nationwide Cross-Sectional Study.

This study aimed to investigate the geographical distribution of dietary patterns and their association with T2DM among Chinese adults aged 45 years and above. Data was from the China Adults Chronic Diseases and Nutrition Surveillance (2015). Dietary intake for each participant was determined through a combination of 3-day 24-h dietary recall interviews and food frequency questionnaires. Principal component analysis was used to extract dietary patterns and spatial analysis was employed to investigate the geographic distribution of them. T2DM was diagnosed using criteria of ADA 2018, and binary logistic regression was employed to examine the relationship between dietary patterns and T2DM. A total of 36,648 participants were included in the study; 10.9% of them were diagnosed as T2DM. Three dietary patterns were identified with the name of plant-based pattern, animal-based pattern, and oriental traditional pattern, which were represented located in northern, northwest, and southern regions, respectively. After adjusting for potential confounders, participants in the highest quartile of the plant-based pattern were associated with lower T2DM odds (OR = 0.82, 95% CI: 0.74, 0.90) when comparing with the lowest quartile. However, participants inclined to higher quartiles of animal-based pattern had a higher risk of T2DM (OR = 1.15, 95% CI: 1.04, 1.27) compared with those in the lower quartiles. No significant association was found between the oriental traditional pattern and T2DM (OR = 1.03, 95% CI: 0.93, 1.14). Dietary patterns of Chinese population revealed geographical disparities, with plant-based dietary pattern showing protective effects and animal-based pattern carrying high risks for T2DM. Regional dietary variations and food environment are paramount in T2DM prevention and management.

Major dietary patterns and dietary inflammatory index in relation to dyslipidemia using cross-sectional results from the RaNCD cohort study

Dyslipidemia can increase the risk of heart attack and stroke due to the restriction of blood flow through the blood vessels. Dietary modification is an appropriate approach to reducing this phenomenon. This cross-sectional study aimed to evaluate major dietary patterns and the dietary inflammatory index (DII) in relation to dyslipidemia. 5954 participants in the Ravansar non-communicable diseases (RaNCD) cohort study were eligible for this study. Dyslipidemia was diagnosed based on the lipid profile under consideration of the RaNCD physician. Dietary patterns were assessed by principal component analysis. The three identified dietary patterns included (1) plant-based pattern; (2) high protein and sugar pattern; and (3) energy-dense dense pattern. DII was also calculated based on the dietary information from a validated semi-quantitative food frequency questionnaire (FFQ). We found that higher adherence to DII was significantly associated with increased odds of dyslipidemia after adjusting for age, sex, and physical activity (OR: 1.24; CI 95% 1.09–1.42). Additionally, higher adherence to the high protein and sugar diet and an energy-dense diet was significantly associated with higher odds for dyslipidemia (OR: 1.31; CI 95% 1.16–1.49) and (OR: 1.28; CI 95% 1.12–1.46). Nevertheless, according to our results, following plant-based diet had no association with dyslipidemia in both crude and adjusted models. Our findings revealed that greater adherence to DII, a high-protein, high-sugar diet, and an energy-dense diet can have undesirable effects on dyslipidemia.

Association between plant-based or animal-based dietary pattern and plasma glucose during oral glucose tolerance test among Chinese women with gestational diabetes mellitus: a prospective cohort study

ObjectiveThis study explored whether plant-based and animal-based dietary patterns are associated with plasma glucose levels during oral glucose tolerance test in women with gestational diabetes mellitus (GDM).DesignA prospective cohort study...

A Study of Dietary Patterns Derived by Cluster Analysis and Their Association With Metabolic Dysfunction-Associated Steatotic Liver Disease Severity Among Hispanic Patients.

Diet is a modifiable metabolic dysfunction-associated steatotic liver disease (MASLD) risk factor, but few studies have been conducted among Hispanic patients, despite the fact that MASLD prevalence and severity are highest among this ethnic subgroup. We aimed to identify prevalent dietary patterns among Hispanic patients using cluster analysis and to investigate associations with MASLD severity. This cross-sectional analysis included 421 Harris County MASLD Cohort participants who self-reported Hispanic ethnicity and completed baseline food frequency questionnaires. All included patients had MASLD, diagnosed per standard clinical criteria. K-means analysis was used to identify clusters of patients sharing similar dietary habits. Multivariable adjusted logistic regression was used to estimate associations of dietary clusters with aminotransferases among the overall sample and with histologic steatosis, metabolic dysfunction-associated steatohepatitis, and fibrosis among a subsample of patients who underwent liver biopsy within 6 months of their baseline food frequency questionnaire (n = 186). We identified 2 clusters: a plant-food/prudent and a fast-food/meat pattern. The fast-food/meat pattern was associated with 2.47-fold increased odds (95% confidence interval 1.31-4.65) of more severe steatosis than the plant-food/prudent pattern after adjusting for demographics, metabolic score, physical activity, and alcohol ( q = 0.0159). No significant association was observed between diet and aminotransferases, metabolic dysfunction-associated steatohepatitis, or fibrosis. Given the importance of sociocultural influences on diet, it is important to understand dietary patterns prevalent among Hispanic patients with MASLD. Using cluster analysis, we identified 1 plant-based pattern vs 1 distinct fast-food/meat-based pattern associated with detrimental effects among our population. This information is an important starting point for tailoring dietary interventions for Hispanic patients with MASLD.

Identification of dietary components in association with abdominal aortic calcification.

The precise impact of dietary components on vascular health remains incompletely understood. To identify the dietary components and their associations with abdominal aortic calcification (AAC), the data from NHANES was employed in this cross-sectional study. The LASSO method and logistic regression were utilized to identify dietary components that exhibited the strongest association with AAC. Grouped WQS regression analysis was employed to evaluate the combined effects of dietary components on AAC. Furthermore, principal component analysis was employed to identify the primary dietary patterns in the study population. The present analysis included 1862 participants, from whom information on 35 dietary macro- and micronutrient components was obtained through 24-hour dietary recall interviews. The assessment of AAC was performed utilizing dual-energy X-ray absorptiometry. The LASSO method identified 10 dietary components that were associated with AAC. Total protein, total fiber, vitamin A, and β-cryptoxanthin exhibited a negative association with AAC. Compared to the first quartile, the adjusted odds ratios (95% CIs) for the highest quartile were 0.59 (0.38, 0.93), 0.63 (0.42, 0.93), 0.59 (0.41, 0.84), and 0.68 (0.48, 0.94), respectively. Grouped WQS regression demonstrated a positive association between the lipid group and AAC (aOR: 1.29; 95% CI: 1.12, 1.50), while the proteins and phytochemical group exhibited a negative association with AAC (aOR: 0.69; 95% CI: 0.58, 0.82). For the dietary pattern analysis, high adherence to the plant-based pattern (aOR: 0.62; 95% CI: 0.44, 0.88) was associated with a lower risk of AAC, whereas the caffeine and theobromine pattern (aOR: 1.73; 95% CI: 1.25, 2.41) was associated with a higher risk of AAC. The findings of this study indicate that adopting a dietary pattern characterized by high levels of protein and plant-based foods, as well as reduced levels of fat, may offers potential advantages for the prevention of AAC.

Adolescent dietary patterns in relation to later prostate cancer risk and mortality in the NIH-AARP Diet and Health Study.

Although adolescent diet has been proposed to contribute to prostate cancer (PCa) development, no studies have investigated the relation between adolescent dietary patterns and PCa risk or mortality. Using data from 164,079 men in the NIH-AARP Diet and Health Study, we performed factor analysis to identify dietary patterns at ages 12-13 years and then used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of total (n = 17,861), non-advanced (n = 15,499), advanced (n = 2362), and fatal PCa (n = 832). Although not entirely consistent across analyses, a higher adolescent plant-based pattern (characterised by vegetables, fruits, and dark bread) score was associated with slightly reduced risks of total (fully adjusted HRQ5vs.Q1 = 0.93, 95% CI: 0.89-0.98, p trend=0.003) and non-advanced PCa (HR = 0.91, 95% CI: 0.87-0.96, p trend<0.001), whereas no associations were observed for advanced or fatal PCa, or for Western modern (characterised by sweets, processed meat, beef, cheese, and pizza) or Western traditional (characterised gravy, eggs, potatoes and white bread) patterns. We found evidence to support a modest, protective role for a plant-based dietary pattern during adolescence on PCa risk. If confirmed in future studies, our findings may help to inform the development of new, primary prevention strategies for PCa.

Food purchase behaviour in a Finnish population: patterns, carbon footprints and expenditures.

To identify food purchase patterns and to assess their carbon footprint and expenditure. Cross-sectional. Purchase patterns were identified by factor analysis from the annual purchases of 3435 product groups. The associations between purchase patterns and the total purchases' carbon footprints (based on life-cycle assessment) and expenditure were analysed using linear regression and adjusted for nutritional energy content of the purchases. Loyalty card holders (n 22 860) of the largest food retailer in Finland. Eight patterns explained 55 % of the variation in food purchases. The Animal-based pattern made the greatest contribution to the annual carbon footprint, followed by the Easy-cooking, and Ready-to-eat patterns. High-energy, Traditional and Plant-based patterns made the smallest contribution to the carbon footprint of the purchases. Animal-based, Ready-to-eat, Plant-based and High-energy patterns made the greatest contribution, whereas the Traditional and Easy-cooking patterns made the smallest contribution to food expenditure. Carbon footprint per euros spent increased with stronger adherence to the Traditional, Animal-based and Easy-cooking patterns. The Animal-based, Ready-to-eat and High-energy patterns were associated with relatively high expenditure on food, suggesting no economic barrier to a potential shift towards a plant-based diet for consumers adherent to those patterns. Strong adherence to the Traditional pattern resulted in a low energy-adjusted carbon footprint but high carbon footprint per euro. This suggests a preference for cheap nutritional energy rather than environment-conscious purchase behaviour. Whether a shift towards a plant-based pattern would be affordable for those with more traditional and cheaper purchase patterns requires more research.

Abstract 733: Adolescent dietary patterns in relation to later prostate cancer risk and mortality in the NIH-AARP diet and health study

Abstract Background: Although adolescent diet has been proposed to contribute to prostate cancer (PCa) development, no studies have investigated the relation between adolescent dietary patterns and PCa risk or mortality. Method: Using data from the NIH-AARP Diet and Health Study, we performed factor analysis to identify dietary patterns at ages 12-13 years. We further used Cox proportional hazards regression to examine hazard ratios (HRs) and 95% confidence intervals (CIs) of total, non-advanced, advanced, and fatal PCa. Results: During 1,878,681 person-years of follow-up, 17,861 men were diagnosed with PCa, including 15,499 non-advanced, 2,362 advanced, and 832 fatal cancers. Three adolescent dietary patterns were identified: a Western modern pattern characterized by greater intake of sweets, processed meat, beef, cheese, and pizza; a plant-based pattern characterized by greater intake of vegetables, fruits, and dark bread; and a Western traditional pattern characterized by greater intake of gravy, bacon, and chicken, eggs, potatoes, green beans, legumes, and white bread. Although not entirely consistent across analyses, a higher adolescent plant-based pattern score was associated with reduced risks of total PCa (fully-adjusted HRQ5vs.Q1=0.93, 95% CI: 0.89-0.98, p-trend=0.003) and non-advanced PCa (HR=0.91, 95% CI: 0.87-0.96, p-trend&amp;lt;0.001), whereas no associations were observed for Western modern or Western traditional patterns. Conclusions: In the first study, to our knowledge, to investigate adolescent dietary patterns and PCa risk, we found some evidence to support a protective role for a plant-based diet during adolescence on PCa risk. Our findings may inform the development of new, primary prevention strategies for PCa. Citation Format: Tuo Lan, Yikyung Park, Graham A. Colditz, Jingxia Liu, Molin Wang, Kana Wu, Edward Giovannucci, Siobhan Sutcliffe. Adolescent dietary patterns in relation to later prostate cancer risk and mortality in the NIH-AARP diet and health study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 733.

Cross-sectional study of association between dietary pattern and cognitive performance in people aged 50 and above years in Shanghai

Objective: To investigate the association between dietary pattern and cognitive performance in local residents aged ≥50 years in Shanghai. Methods: Data were obtained from the second round of Study of Global Ageing and Adult Health (SAGE) survey in Shanghai. Dietary patterns were surveyed by factor analysis. Cognitive tests were conducted to assess subjects' cognitive performance, including verbal recall, verbal fluency and digit test. Multiple linear regression analysis was used to evaluate the relationship between dietary patterns and cognition performance. Results: A total of 4 132 subjects with complete dietary and cognitive performance test data were included. Factor analysis was used to obtain three dietary patterns: including plant-based pattern, high animal-food pattern, high salt-oil pattern. After controlling for gender, age, education level and other factors, it was found that plant-based pattern (β=0.26,95%CI: 0.17-0.36) and high animal-food pattern (β=0.18, 95%CI:0.06-0.29) were positively associated with total cognitive test score while high salt-oil pattern (β=-0.28, 95%CI:-0.85--0.07) was negatively associated with verbal fluency test score. Conclusion: A dietary pattern with high intake of plant food and appropriate intake of animal food might be associated with better cognitive function of residents aged ≥50 years.

Longitudinal association of maternal dietary patterns with antenatal depression: Evidence from the Chinese Pregnant Women Cohort Study

BackgroundLimited evidence to show the longitudinal associations between maternal dietary patterns and antenatal depression (AD) from cohort studies across the entire gestation period. MethodsData came from the Chinese Pregnant Women Cohort Study. The qualitative food frequency questionnaire (Q-FFQ) and Edinburgh Postnatal Depression Scale (EPDS) were used to collect diet and depression data. Dietary patterns were derived by using factor analysis. Generalized estimating equation models were used to analyze the association between diet and AD. ResultsA total of 4139 participants finishing 3-wave of follow-up were finally included. Four constant diets were identified, namely plant-based, animal-protein, vitamin-rich and oily-fatty patterns. The prevalence of depression was 23.89%, 21.12% and 22.42% for the first, second and third trimesters. There were reverse associations of plant-based pattern (OR:0.85, 95%CI:0.75–0.97), animal-protein pattern (OR:0.85, 95%CI:0.74–0.99) and vitamin-rich pattern (OR:0.58, 95%CI:0.50–0.67) with AD, while a positive association between oily-fatty pattern and AD (OR:1.47, 95%CI:1.29–1.68). Except for the plant-based pattern, other patterns had linear trend relationships with AD (Ptrend < 0.05). Moreover, a 1-SD increase in vitamin-rich pattern scores was associated with a 20% lower AD risk (OR:0.80, 95%CI:0.76–0.84), while a 1-SD increase in oily-fatty pattern scores was associated with a 19% higher risk (OR:1.19, 95%CI:1.13–1.24). Interactions between dietary patterns and lifestyle habits were observed. LimitationsThe self-reported Q-FFQ and EPDS may cause recall bias. ConclusionsThere are longitudinal associations between maternal dietary patterns and antenatal depression. Our findings are expected to provide evidence for a dietary therapy strategy to improve or prevent depression during pregnancy.

Dietary Patterns as Characterized by Food Processing Levels and Their Association with the Health Outcomes of Rural Women in East Africa.

Overweight and obesity are rapidly rising in Sub-Saharan Africa including in rural areas. However, most studies focus on urban centers, and have attributed this epidemic to the consumption of processed foods without their clear characterization. This study investigated food intake patterns defined by food processing levels and their association with overweight/obesity in rural areas. Four 24-h dietary recalls, anthropometric measurements, and socio-demographic characteristics were collected from 1152 women in Kenya, Tanzania, and Uganda. The PCA method was used to extract patterns characterized by food processing levels. The association between patterns and overweight/obesity was ascertained with regression models. The overweight/obesity rate was 47%, 42%, 26%, and 38% in Kenya, Tanzania, Uganda, and East Africa (as pooled data), respectively. Several patterns were identified, yet a “plant-based pattern” largely characterized by unprocessed and minimally processed foods and a “purchase pattern” mainly distinguished by highly processed foods were dominant. The “plant-based pattern” was inversely or not associated with overweight/obesity, while the “purchase pattern” had a positive association or no association. A clear distinction on processed foods as healthy and unhealthy should be made based on their nutrient provision to avoid their mischaracterization as unhealthy. Policies to reverse consumption of unhealthy processed foods while promoting healthy ones should be pursued.

Healthful and unhealthful plant-based dietary patterns and their role on 10-year transition to metabolically unhealthy status in obese participants of the ATTICA prospective (2002–2012) study

Abstract Background/Introduction Plant-based diets have been widely promoted for their protective role on cardiometabolic health. However, in the recent literature it is highly suggested that the quality of plant-based diets varies. Purpose The association between plant-based diet indices and 10-year transition to metabolically unhealthy status in metabolically healthy obese (MHO) individuals was assessed. Methods A prospective study was conducted during 2001–2012 studying n=1,514 males and n=1,528 females (aged &amp;gt;18 years old) free of CVD. Healthy metabolic status was defines as absence of all NCEP ATP III (2005) metabolic syndrome components (excluding waist circumference). Follow-up CVD assessment (2011–2012) was achieved in n=2,020 participants (n=317 cases). Overall, healthful and unhealthful plant-based dietary indices (PDI, hPDI and uPDI) were created through a standard procedure; hPDI was principally characterized by increased consumption of fruits/vegetables, whole grains, nuts, legumes, oils, tea/coffee while uPDI was related with increased intake of juices, sweetened beverages, refined grains, potatoes and sweets. Results MHO prevalence reached 4.8% (n=146) (4.9% in men and 4.7% in women, p=0.198). 28.2% of obese participants presented a metabolically benign status. Within the decade, almost half of MHO participants resulted as metabolically unhealthy obese (45% in men and 54% in women, p=0.04). Ranking from 1st to 3rd PDI tertile, transition to metabolically unhealthy status was for men, 63%, 48% and 22% (p&amp;lt;0.001) and for women 67%, 58% and 34% (p&amp;lt;0.001). Multiadjusted analysis revealed significant inverse associations between PDI and 10-year transition to metabolically unhealthy status for men [Hazard Ratio (HR) (3rd vs. 1st tertile)=0.63 95% Confidence Interval (95% CI) (0.41, 0.95)] yet –borderline significantly– for women [HR (3rd vs. 1st PDI tertile) = 0.82 95% CI (0.67, 1.09)]. When the indices for quality of plant-based patterns were used (hPDI and uPDI), only participants assigned to the higher level of adherence to healthful plant-based pattern retained their metabolically healthy profile with this relation being stronger in women; [HR (3rd vs. 1st hPDI tertile) = 0.55 95% CI (0.37, 0.84), for women] and [HR (3rd vs. 1st hPDI tertile) = 0.79 95% CI (0.64, 1.03), for men]. Similarly, the aggravating effect of high adherence to less healthful plant-based food choices was higher for women [HR (3rd vs. 1st uPDI tertile) = 1.68 95% CI (1.23, 1.99)]. Conclusions Higher adherence to plant-based diet was associated with substantially higher likelihood for an obese individual to long-term retain its healthy metabolic status. Most importantly, the healthy or unhealthy food choices within this pattern seemed to determine cardiometabolic status with stronger remarks in women. Funding Acknowledgement Type of funding source: Other. Main funding source(s): This work was supported by a research grant from Hellenic Atherosclerosis Society. The ATTICA study is supported by research grants from the Hellenic Cardiology Society [HCS2002] and the Hellenic Atherosclerosis Society [HAS2003].

Dietary patterns in relation to gestational depression and sleep disturbance in Chinese pregnant women.

To investigate the association of dietary patterns with gestational depression and sleep disturbance. Women in early pregnancy were recruited from the Chinese Pregnant Women Cohort Study (CPWCS) through July 25th, 2017 to November 26th, 2018, and eventually 7615 participants were included in this study. The qualitative food frequency questionnaire (Q-FFQ), Edinburgh Postnatal Depression Scale (EPDS), and the Pittsburgh Sleep Quality Index (PSQI) were used to assess dietary, depression and sleep quality during pregnancy, respectively. Dietary patterns were derived by factor analysis. Logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of each outcome according to quartiles of each dietary pattern. Five dietary patterns were identified. Participants with the highest quartile in plant-based pattern had a significantly lower likelihood of mental problems (OR: 95% CI for depression: 0.66, 0.55-0.79; sleep disturbance: 0.80, 0.68-0.93); Similar results were observed in vitamin-rich pattern (OR: 95% CI for depression: 0.46, 0.38-0.55; sleep disturbance: 0.76, 0.65-0.89); However, contrary results were found in high-fat pattern (OR: 95% CI for depression: 2.15, 1.25-1.85; sleep disturbance: 1.43, 1.22-1.67); In animal protein-rich pattern, participants with the highest quartile had a decreased likelihood of depression (OR: 0.80, 95% CI: 0.67-0.96). As for bean products pattern, participants with the highest quartile had an increased risk of depression (OR: 1.28, 95% CI:1.06-1.53). Interactions of dietary patterns and lifestyles on mental disorders were observed. Dietary patterns were associated with gestational depression and sleep disturbance. Relevant departments and maternal and child health personnel should conduct health education for pregnant women and guide them to eat properly.

Abstract P515: Comparison of Dietary Measures Association With Incident Type 2 Diabetes: The Reasons for Geographic and Racial Differences in Stroke (regards) Study

Background: Previous studies have investigated the association of dietary patterns with risk of diabetes, but have not compared a priori and a posteriori dietary scores in the same diverse population. The objective of this study was to evaluate a priori and a posteriori dietary patterns associations with incident diabetes in the REGARDS study. Methods: This study included 8,875 Black and White adults with available dietary data, without diabetes (defined as fasting glucose&gt;=126 mg/dL, random glucose&gt;=200 mg/dL, or use of diabetes medications) at baseline (2003-2007), and with follow-up (2013-2016) status of diabetes. Dietary patterns were examined by quintile and included a posteriori Plant-based and Southern, as well as a priori scores of Mediterranean Diet Score, Dietary Approaches to Stop Hypertension (DASH) Diet Score, Dietary Inflammatory Index (DII) and Dietary Inflammation Score (DIS). Modified Poisson regression was used to obtain risk ratios for incident diabetes with models adjusted for total energy intake, demographics, and lifestyle factors. Results: The mean (SD) age at baseline was 63.2 (8.5) years, 27.1% were Black, 56.2% were female, and 11.7% had incident diabetes at follow-up. Adherence to the Southern dietary pattern was positively associated with incident diabetes for all models (figure). After adjustment for demographic factors, the highest quintiles of DII and DIS were associated with incident diabetes and the highest quintiles of DASH scores were protective of development of incident diabetes. Conclusion: The Southern dietary pattern derived in REGARDS showed the strongest association with incident diabetes of all the dietary scores and of the a priori scores the DIS showed the strongest association with incident diabetes. The lack of association in adjusted models with the Mediterranean Diet and Plant-based pattern show these scores to be less pertinent. The DIS demonstrates food based dietary inflammation as one of the potential pathways for incident diabetes.

Dietary Patterns and the Double Burden of Malnutrition in Mexican Adolescents: Results from ENSANUT-2006.

Mexico is facing the double burden of malnutrition, and adolescents are not an exception. Diet plays an important role, both in causing overweight and undernutrition. This study aimed to describe the dietary patterns (DPs) of Mexican adolescents and to examine its association with nutritional status using data from adolescents aged 12–19 years (n = 7380) from the National Survey of Health and Nutrition (ENSANUT-2006). Principal component analysis was used to derivate the DPs. Associations between DP and nutritional status were determined by prevalence ratio (PR). Four DPs were identified: nontraditional and breakfast-type, Western, plant-based, and protein-rich. The prevalence of overweight and obesity was higher in adolescents who scored high on the Western pattern (PR: 1.15, 95% CI: 1.08–1.21) or on the plant-based pattern (PR: 1.09, 95% CI: 1.03–1.17). The Western pattern was positively associated with anemia in girls (PR: 1.18, 95% CI: 1.03–1.35), while the nontraditional and breakfast-type pattern was inversely associated with anemia in adolescents aged 12–15 years (PR: 0.87, 95% CI: 0.76–0.99) and in girls (PR: 0.84, 95% CI: 0.75–0.97). The Western and plant-based patterns were simultaneously associated with overweight–obesity and at least one indicator of undernutrition. In the context of the double burden of malnutrition, dietary advice must consider malnutrition in all its forms.

Dietary patterns during pregnancy and risk of gestational diabetes: a prospective cohort study in Western China

BackgroundPrevious research has demonstrated the association between maternal dietary patterns and gestational diabetes (GDM), but evidence in Asian populations remains limited and inconsistent. This study investigated the association between dietary patterns during early pregnancy and the risk of GDM among pregnant women in Western China.MethodsA prospective cohort study was conducted among 1337 pregnant women in Western China. Dietary intakes were assessed at 15–20 weeks of gestation using a validated food frequency questionnaire. GDM was diagnosed by oral glucose tolerance tests at 24–28 weeks of gestation. Exploratory factor analysis was performed to derive dietary patterns, and logistic regression models were used to examine the association between dietary patterns and GDM.ResultsA total of 199 women (14.9%) developed GDM. Three dietary patterns were identified, namely, a plant-based pattern, a meat-based pattern and a high protein-low starch pattern. Notwithstanding a lack of association between dietary patterns and GDM risk in the whole cohort, there was a significant reduction in GDM risk among overweight women (BMI ≥24 kg/m2); the odds ratio being 0.29 (95% confidence interval 0.09 to 0.94) when comparing the highest versus the lowest score of the high protein-low starch pattern.ConclusionsThere was no significant association between early pregnancy dietary patterns and GDM risk later in pregnancy for women in Western China, but high protein-low starch diet was associated with lower risk for GDM among women who were overweight at pre-pregnancy.

Association between nutrient patterns and serum lipids in Chinese adult women: A cross-sectional study.

AimTo investigate the association between patterns of nutrient intake and serum lipids in Chinese women aged 18–80 years.MethodsIn the present study, cross‐sectional data were analysed from 2886 female participants aged 18–80 years from the China Health and Nutrition Survey wave 2009. Nutrient patterns were identified using factor analysis combined with cluster analysis based on the data of nutrient intake for three consecutive days. Multivariate linear regression models were used to estimate the association of nutrient patterns with serum lipids.ResultsFour nutrient patterns were identified in Chinese adult women, which were the plant‐based pattern, carbohydrate and animal fat pattern, plant fat and sodium pattern, and the animal‐based pattern. Participants following different patterns varied significantly in sociodemographic characteristics, lifestyle behaviours and food consumption. Compared with the plant‐based pattern, the carbohydrate and animal fat pattern was positively associated with low‐density lipoprotein cholesterol (β = 4.57, 95% CI: 0.29–8.85, P = 0.036) and total cholesterol (β = 4.89, 95% CI: 0.34–9.44, P = 0.035). The corresponding rises for the animal‐based pattern were 4.91 (95% CI: 0.99–8.82, P = 0.014) and 4.98 (95% CI: 0.82–9.15, P = 0.019), respectively.ConclusionsNutrient patterns with a high intake of animal fat and a low intake dietary fibre and with high intakes of animal fat, animal protein and cholesterol may increase the serum cholesterol in Chinese women.

Dietary patterns and retinal vascular calibre in children and adolescents with type 1 diabetes.

To examine the association between dietary patterns and retinal vascular calibre in children and adolescents with type 1 diabetes. A hospital-based cross-sectional study of 83 children and adolescents with type 1 diabetes was conducted over an 8-month period. Dietary patterns were extracted using principal components analysis from completed food frequency questionnaires. Retinal vascular calibre was measured by a trained grader using a standardized protocol and later summarized as central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE) using a semi-automated computer program. Three major dietary patterns were identified as follows: (1) processed foods, (2) plant-based foods and (3) vegetable/fish avoidance pattern. The processed pattern had high component loadings for processed meats and high fat takeaway foods. The plant-based pattern had high component loadings for a number of fruits including, but not limited to, pineapple, grapes oranges and mangos as well as a smaller number of vegetables, including beans and leeks. The vegetable and fish avoidance pattern had high inverse component loadings for canned and fresh fish as well as a number of vegetables including, but not limited to, pumpkin, green beans, broccoli, sweet potato and cabbage. Adjusted regression analysis revealed the 'vegetable/fish avoidance' dietary pattern was associated with a wider CRVE (ExpB=3.67, 95% CI=0.11/7.24, p=0.039). After multivariable adjustments, a vascular risk profile that included: older age, higher BMI, higher systolic blood pressure, greater gestational age, longer screen viewing time, lower maternal education level, lower physical activity levels and lower high-density lipoproteins concentrations were more likely to display narrower CRAE (ExpB=-2.43, 95% CI=-4.92/0.06, p=0.041). This study provides the first evidence for a diet-calibre relationship in children and adolescents with type 1 diabetes. This outcome has potential public health implications, as promotion of healthy eating patterns in children and adolescents might attenuate changes in microvasculature that have been related to an increased risk of microvascular disease, such as retinopathy, in adulthood. Additional studies are warranted to explore and validate this novel finding.