Recent advances in precision nutrition and cardiometabolic diseases.

A growing body of research on nutrition omics has led to recent advances in cardiovascular disease epidemiology and prevention. Within the PREDIMED trial, significant associations between diet-related metabolites and cardiovascular disease were identified, which were subsequently replicated in independent cohorts. Some notable metabolites identified include plasma levels of ceramides, acyl-carnitines, branched-chain amino acids, tryptophan, urea cycle pathways, and the lipidome. These metabolites and their associated pathways have been associated with incidence of both cardiovascular disease and type 2 diabetes. Future directions in precision nutrition research include: a) developing more robust multimetabolomic scores to predict long-term risk of cardiovascular disease and mortality; b) incorporating more diverse populations and a broader range of dietary patterns; and c) conducting more translational research to bridge the gap between precision nutrition studies and clinical applications.

Adherence to the EAT-Lancet sustainable diet and ultra-processed food consumption: findings from a nationwide population-based study in Brazil.

OBJECTIVE: To evaluate the association between ultra-processed food consumption and adherence to the EAT-Lancet diet in a representative sample of the Brazilian population. DESIGN: The study used data from the Brazilian National Dietary Survey 2017-2018 and employed linear regression models to evaluate the association between ultra-processed food consumption and adherence to the EAT-Lancet diet, as measured by the Nova food system and Planetary Health Diet Index (PHDI), respectively. SETTING: Nationally representative sample of the Brazilian population. PARTICIPANTS: The study included 46 164 Brazilians ≥ 10 years old. RESULTS: The average PHDI total score was 45·9 points (95 % CI 45·6, 46·1). The ultra-processed food consumption was, with dose-response, inversely associated with the adherence to the EAT-Lancet diet. The PHDI total score was 5·38 points lower (95 % CI -6·01, -4·75) in individuals in the highest quintile of consumption of ultra-processed foods, as compared to those in the first quintile. The PHDI score was also inversely associated with the share of processed culinary ingredients and processed foods and positively associated with the share of unprocessed or minimally processed foods. CONCLUSIONS: Our study showed an inverse relationship between the consumption of ultra-processed foods and the adherence to a healthy and sustainable diet.

Socio-demographic differences in the dietary inflammatory index from National Health and Nutrition Examination Survey 2005-2018: a comparison of multiple imputation versus complete case analysis.

OBJECTIVE: Studies using the dietary inflammatory index often perform complete case analyses (CCA) to handle missing data, which may reduce the sample size and increase the risk of bias. Furthermore, population-level socio-economic differences in the energy-adjusted dietary inflammatory index (E-DII) have not been recently studied. Therefore, we aimed to describe socio-demographic differences in E-DII scores among American adults and compare the results using two statistical approaches for handling missing data, i.e. CCA and multiple imputation (MI). DESIGN: Cross-sectional analysis. E-DII scores were computed using a 24-hour dietary recall. Linear regression was used to compare the E-DII scores by age, sex, race/ethnicity, education and income using both CCA and MI. SETTING: USA. PARTICIPANTS: This study included 34 547 non-Hispanic White, non-Hispanic Black and Hispanic adults aged ≥ 20 years from the 2005-2018 National Health and Nutrition Examination Survey. RESULTS: The MI and CCA subpopulations comprised 34 547 and 23 955 participants, respectively. Overall, 57 % of the American adults reported 24-hour dietary intakes associated with inflammation. Both methods showed similar patterns wherein 24-hour dietary intakes associated with high inflammation were commonly reported among males, younger adults, non-Hispanic Black adults and those with lower education or income. Differences in point estimates between CCA and MI were mostly modest at ≤ 20 %. CONCLUSIONS: The two approaches for handling missing data produced comparable point estimates and 95 % CI. Differences in the E-DII scores by age, sex, race/ethnicity, education and income suggest that socio-economic disparities in health may be partially explained by the inflammatory potential of diet.

Dietary and lifestyle insulinemic potentials, plasma metabolome, and risk of diverticulitis: a prospective cohort study.

BACKGROUND: Diet and lifestyle factors have been linked to developing diverticulitis. However, it remains largely unknown whether the associations are mediated by metabolic disturbance, such as hyperinsulinemia and corresponding metabolomic perturbations. OBJECTIVES: We investigated associations of the insulinemic potential of diet, lifestyle (diet, physical activity, body weight), and metabolomic patterns with the risk of incident diverticulitis. METHODS: We conducted a prospective cohort study including participants in 3 nationwide cohorts of United States health professionals. The risk of incident diverticulitis was estimated according to quintiles of the empirical dietary index for hyperinsulinemia (EDIH) and empirical lifestyle index for hyperinsulinemia (ELIH). In a subset of participants with metabolomic measurements, we developed metabolomic dietary index for hyperinsulinemia (MDIH) and metabolomic lifestyle index for hyperinsulinemia (MLIH), metabolite profile scores correlating with EDIH and ELIH, respectively, and tested their associations with subsequent risk of diverticulitis. We also examined whether the associations of EDIH and ELIH with diverticulitis were mediated by the metabolite profile scores. RESULTS: Among 184,508 participants [median age, 51 (interquartile range, 46-56) y], we documented 9123 incident diverticulitis cases over 3,419,945 person-years. Compared with those in the lowest quintile, participants with the most hyperinsulinemic diets and lifestyles (highest quintiles of EDIH and ELIH) had a hazard ratio for the risk of diverticulitis of 1.22 [95% confidence interval (CI): 1.13, 1.31] and 1.69 (95% CI: 1.57, 1.81), respectively. Similarly, the metabolite profile scores were significantly associated with the diverticulitis risk with odds ratio of 1.96 for MDIH (95% CI: 1.47, 2.60) and 1.93 for MLIH (95% CI: 1.48, 2.51) when comparing extreme quintiles. The explainable proportions of EDIH- and ELIH-related diverticulitis risk by MDIH and MLIH were 70% (95% CI: 6%, 99%) and 57% (95% CI: 23%, 86%), respectively (P < 0.0001 for both). CONCLUSIONS: Participants with dietary and lifestyle patterns corresponding to higher insulinemic potential had an increased risk of diverticulitis, which might be mediated by metabolomic profiles.

Validity and Reliability of a Questionnaire Assessing Changes in Dietary Behaviors Among School Children Amid the COVID-19 Pandemic in Jordan.

OBJECTIVE: This study aimed to develop and validate a questionnaire to assess changes in dietary behaviors among school children in Jordan during the COVID-19 pandemic. METHODS: A cross-sectional study used a convenience sample of 253 school-aged children from public schools across Jordan. The dietary and lifestyle behavior inventory (DLBI) was developed, incorporating cultural and regional dietary preferences. The questionnaire's validity and reliability were assessed using the content validity index (CVI) and Cronbach's alpha for internal consistency. Exploratory factor analysis (EFA) was conducted to evaluate the underlying factor structure. RESULTS: The DLBI demonstrated excellent content validity with a scale content validity index (S-CVI) of 0.997 and a high level of agreement among expert reviewers (total agreement = 116). Reliability analysis showed high internal consistency for dietary behavior scales, with Cronbach's alpha values exceeding 0.9 for fruit (0.869) and vegetable (0.916) consumption scales. Factor analysis revealed strong associations between dietary behavior variables, with factor loadings ranging from 0.688 to 0.889. The study identified significant reductions in physical activity levels among children, with an average Cronbach's alpha of 0.835 for physical activity-related items. The average time to complete the questionnaire was 15 minutes (SD = 5 minutes), with a completion rate of 45.6%. CONCLUSIONS: The validated DLBI is a robust tool for assessing changes in dietary behaviors among school-aged children in Jordan during the COVID-19 pandemic. The findings highlight significant dietary patterns and physical activity shifts, emphasizing the need for targeted nutritional interventions.

Consumption of processed meat but not red meat is associated with the incidence of hypertension: ELSA-Brasil cohort.

OBJECTIVES: To verify the association between the consumption of red and processed meats and the incidence of hypertension in participants of the Longitudinal Study of Adult Health. METHODS: This was a cohort with data from the baseline (2008-2010) and second wave (2012-2014) with 8,089 public workers of both sexes and different racial groups, with mean age of 49 ± 8 years (35-74 years old). Meat consumption (g/d) was estimated using a food frequency questionnaire and was divided into consumption tertiles. Hypertension was defined as systolic blood pressure ≥140 mm Hg and/or diastolic ≥90 mm Hg and/or antihypertensive medication. Cox proportional hazards models were used to estimate adjusted Hazard Ration (HRs) and 95% confidence interval (CI) for incident hypertension. RESULTS: A total of 1186 incident cases of hypertension were identified. Even adjusting for confounders, such as urinary Na/K (sodium/potassium) ratio and BMI (body mass index), participants in the second (HR:1.19; 95% CI 1.03-1.30) and third (HR:1.30; 95% CI:1.11-1.53) tertile of processed meat consumption had a higher risk of developing hypertension than those in the first tertile. We did not find a significant association between red meat consumption and hypertension. CONCLUSIONS: The increased risk of developing hypertension is associated with moderate and high consumption of processed meats but not with consumption of red meat.

Meat products in human nutrition and health - About hazards and risks.

Meat processing has a long history and involves a wide and ever-increasing range of chemical and physical processes, resulting in a heterogeneous food category with a wide variability in nutritional value. Despite the known benefits of meat consumption, observational epidemiological studies have shown associations between consumption of red and processed meat - but not white meat - and several non-communicable diseases, with higher relative risks for processed meat compared to unprocessed red meat. This has led global and regional nutrition and health organisations to recommend reducing consumption of unprocessed red meat and avoiding processed meat. A plethora of potentially implicated hazardous compounds present in meat or formed during processing or gastrointestinal digestion have been reported in the literature. However, our mechanistic understanding of the impact of meat consumption on human health is still very incomplete and is complicated by the simultaneous occurrence of multiple hazards and interactions with other food compounds and host factors. This narrative review briefly discusses hazards, risks and their assessment in the context of dietary guidelines. It is argued that more mechanistic studies of the interactive effects of meat products with other foods and food compounds in different dietary contexts are needed to refine and increase the evidence base for dietary guidelines. Importantly, the great diversity in the composition and degree of processing of processed meats should be better understood in terms of their impact on human health in order to develop a more nuanced approach to dietary guidelines for this food category.

Cross-Sectional Assessment of Nutritional Status, Dietary Intake, and Physical Activity Levels in Children (6-9 Years) in Valencia (Spain) Using Nutrimetry.

The aims of this research were to evaluate the current nutritional status, dietary intake, and level of physical activity and assess the need for intervention. This was a cross-sectional study with 2724 participating children aged 6-9 years old. Nutritional status was assessed using nutrimetry, dietary intake with a 3-day food-recall questionnaire and physical activity with an ad hoc questionnaire. The nutricode with the highest prevalence was healthy weight/normal stature, with 51.3% of the sample. For the BMI for age Z-score, those in the overweight/obesity category represented 37.5% of the sample, while the thinness category included 7.6%. Intake of calories, proteins, sugar, lipids, SFA, MUFA, and cholesterol were significantly higher than recommended. The thinness groups consumed a significantly higher amount of excess calories while the overweight/obesity groups had the lowest mean excess calorie intake. Children in the thinness category presented the highest rates at both ends of the spectrum for sedentary activities. This study showed the high prevalence of malnutrition in schoolchildren. The results for the risk of thinness and overweight/obesity according to individual nutrient intake should be carefully interpreted. Lifestyle is a fundamental aspect to consider when combating malnutrition, especially at the level of dietary and physical activity habits, to combine various methods of intervention to improve nutritional status.

Ultraprocessed food consumption and risk of gallstone disease: analysis of 3 prospective cohorts.

BACKGROUND: Majority of dietary intake in United States adults comes from ultraprocessed foods (UPFs), which have been linked to several adverse health outcomes. Gallstone disease is highly prevalent and constitutes a significant burden to the United States health system but remains understudied. OBJECTIVES: This study aimed to investigate the association between UPF consumption and incident gallstone disease risk. METHODS: In this analysis, 44,149 males in the Health Professionals' Follow-up Study (HPFS: 1986-2022), 71,145 females in the Nurses' Health Study (NHS: 1986-2021), and 90,932 females in the NHS II (1991-2021) were prospectively followed. Dietary intake was quadrennially assessed with semiquantitative food frequency questionnaires and used to identify UPFs. The primary outcome was defined as cholecystectomy. Cox proportional hazards model was used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). RESULTS: Baseline median age was 54 y in HPFS, 53 y in NHS, and 36 y in NHS II. We identified 32,374 incident gallstone disease cases over 5,077,059 person-years. Participants in the highest UPF quintile had a higher incidence of gallstone disease than those in the lowest quintile (aHR: 1.29; 95% CI: 1.24, 1.36; P < 0.001). Incremental risk of incident gallstone disease was 2.8% per daily serving (95% CI: 2.4%, 3.2%; P < 0.001). This risk was driven by sugar-sweetened beverages and artificially sweetened beverages on UPF subgroup analyses. The proportion of risk mediated by obesity was 12.8% (95% CI: 7.7%, 20.5%; P < 0.001) in HPFS, 14.3% (95% CI: 10.4%, 19.4%; P < 0.001) in NHS, and 39.4% (95% CI: 31.2%, 48.1%; P < 0.001) in NHS II. The partial population attributable risk was estimated at 15.9% (95% CI: 13.4%, 18.3%). CONCLUSIONS: UPF consumption is associated with a higher risk of gallstone disease, particularly consumption of sugar-sweetened beverages and artificially sweetened beverages. A substantial proportion of this risk is potentially mediated by obesity in younger females.

Adherence to a planetary health diet, genetic susceptibility, and incident cardiovascular disease: a prospective cohort study from the UK Biobank.

BACKGROUND: The influence of adherence to a planetary health diet (PHD) proposed by the EAT-Lancet Commission on cardiovascular disease (CVD) is inconclusive. Besides, whether genetic susceptibility to CVD can modify the association of PHD with CVD remains unknown. OBJECTIVE: We aimed to investigate the association between adherence to PHD and CVD, and to evaluate the interaction between PHD and genetic predisposition to CVD. METHODS: This study included 114,165 participants who completed at least two 24-h dietary recalls and were initially free of CVD from the UK Biobank. PHD score was calculated to assess adherence to PHD. Genetic risk was evaluated using the polygenic risk score. Incidence of total CVD, ischemic heart disease (IHD), atrial fibrillation (AF), heart failure (HF), and stroke were identified via electronic health records. Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: During a median follow-up of 9.9 y, 10,071 (8.8%) incident CVD cases were documented. Compared with participants with the lowest adherence to PHD, HRs (95% CIs) for total CVD, IHD, AF, HF, and stroke among those with the highest adherence were 0.79 (0.74, 0.84), 0.73 (0.67, 0.79), 0.90 (0.82, 0.99), 0.69 (0.59, 0.82), and 0.88 (0.75, 1.04), respectively. No significant interaction between the genetic risk of CVD and PHD was observed. Participants with high genetic risk and low PHD score, as compared with those with low genetic risk and high PHD score, had a 48% (95% CI: 40%, 56%) higher risk of CVD. The population-attributable risk (95% CI) of CVD for poor adherence to PHD ranged from 8.79% (5.36%, 12.51%) to 14.00% (9.00%, 18.88%). CONCLUSIONS: These findings suggest that higher adherence to PHD was associated with lower risk of total CVD, IHD, AF, and HF in populations across all genetic risk categories.

Associations of sugary beverage consumption with chronic obstructive pulmonary disease, asthma, and asthma-chronic obstructive pulmonary disease overlap syndrome: a prospective cohort study.

BACKGROUND: The associations between specific types of sugary beverages and major chronic respiratory diseases remain relatively unexplored. OBJECTIVES: This study aimed to investigate the associations of sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs), and natural juices (NJs) with chronic obstructive pulmonary disease (COPD), asthma, and asthma-chronic obstructive pulmonary disease overlap syndrome (ACOS). METHODS: This prospective cohort study included 210,339 participants from the UK Biobank. Sugary beverage intake was measured in units (glasses/cans/cartons/250 mL) through 24-h dietary questionnaires. Logistic regression and Cox proportional hazards models were used to analyze the prevalence and incidence, respectively. Quantile G-computation was used to estimate the joint associations and relative contributions of the 3 types of sugary beverages. RESULTS: Over a median follow-up of 11.6 y, 3491 participants developed COPD, 4645 asthma, and 523 ACOS. In prevalence analysis, certain categories of SSB and NJ consumption were associated with increased asthma prevalence, while high ASB consumption (>2 units/d) was linked to higher risks of all 3 outcomes. In incidence analysis, high SSB consumption (>2 units/d) was associated with incident COPD (hazard ratio [HR]: 1.53; 95% confidence interval [CI]: 1.19, 1.98) and asthma (HR: 1.22; 95% CI: 0.98, 1.52). Dose‒response relationships were observed for ASB consumption with all 3 outcomes (continuous HR: 1.98; 95% CI: 1.36, 2.87, for COPD; continuous HR: 1.65; 95% CI: 1.24, 2.20, for asthma; and continuous HR: 2.84; 95% CI: 1.20, 6.72, for ACOS). Moderate NJ consumption (>0-1 unit/d) was inversely associated with COPD (HR: 0.89; 95% CI: 0.82, 0.97), particularly grapefruit and orange juice. Joint exposure to these beverages (per unit increase) was associated with COPD (HR: 1.15; 95% CI: 1.02, 1.29) and asthma (HR: 1.16; 95% CI: 1.06, 1.27), with ASBs having greater positive weights than SSBs. CONCLUSIONS: Consumption of SSBs and ASBs was associated with increased risks of COPD, asthma, and potentially ACOS, whereas moderate NJ consumption was associated with reduced risk of COPD, depending on the juice type.

The relationship between dietary intake of live microbes and insulin resistance among healthy adults in the US: a cross-sectional study from NHANES 2003-2020.

Dietary intake of live microbes may benefit human health, but less is known about the role in insulin resistance. This study was developed with the goal of evaluating potential relationships between IR and dietary live microbes. The National Health and Nutrition Examination Survey (NHANES) dataset was leveraged to collect data from 6,333 subjects 18 + years of age. The Sanders system for the classification of dietary live microbe intake (containing Low (< 104 CFU/g), Medium (104-107 CFU/g), or High (> 107 CFU/g) levels of live microbes) was then used to separate these patients into three groups (low, medium, or high). Fasting blood glucose and insulin levels were used to approximate IR based on the homeostasis model of insulin resistance (HOMA-IR). Weighted linear regressions were used to assess the relationship between IR and live microbe intake. After fully adjusting for confounding factors, subjects in the groups exhibiting medium and high levels of live microbe intake exhibited HOMA-IR scores that were below those of subjects in the low group. The relationship between live microbe intake and HOMA-IR scores was also potentially impacted by ethnicity. In summary, a negative correlation was detected between dietary live microbe intake and HOMA-IR values.

Reliance on self-reports and estimated food composition data in nutrition research introduces significant bias that can only be addressed with biomarkers.

The chemical composition of foods is complex, variable, and dependent on many factors. This has a major impact on nutrition research as it foundationally affects our ability to adequately assess the actual intake of nutrients and other compounds. In spite of this, accurate data on nutrient intake are key for investigating the associations and causal relationships between intake, health, and disease risk at the service of developing evidence-based dietary guidance that enables improvements in population health. Here, we exemplify the importance of this challenge by investigating the impact of food content variability on nutrition research using three bioactives as model: flavan-3-ols, (-)-epicatechin, and nitrate. Our results show that common approaches aimed at addressing the high compositional variability of even the same foods impede the accurate assessment of nutrient intake generally. This suggests that the results of many nutrition studies using food composition data are potentially unreliable and carry greater limitations than commonly appreciated, consequently resulting in dietary recommendations with significant limitations and unreliable impact on public health. Thus, current challenges related to nutrient intake assessments need to be addressed and mitigated by the development of improved dietary assessment methods involving the use of nutritional biomarkers.

Studies about the health benefits of foods or nutrients are often inconsistent. One study may find a health benefit of a particular food and may recommend that people increase their consumption of this food to reduce their disease risk. Yet another study may find the opposite. Inconsistent study results fuel confusion and frustration, and reduce trust in research. Limitations in the studies' designs are likely to be blamed for the inconsistent findings. For example, many studies rely on participants to self-report their food intake and on databases of the nutritional content of food. But people may not accurately report their food intake. Foods vary in their nutritional content, even between two items of the same food such as two apples. And how individuals metabolize foods can further affect the nutrients they receive. Nutritional biomarkers are a potential alternative to measuring dietary intake of specific nutrients. Biomarkers are compounds the body produces when it metabolizes a specific nutrient. Measuring biomarkers therefore give scientists a more accurate and unbiased assessment of nutrient intake. Ottaviani et al. conducted a study to test the differences when estimating nutrient intake using nutritional biomarkers compared with more conventional tools. They analyzed data from a nutrition study that involved over 18,000 participants. The experiments used computer modelling to assess study results using self-reported food intake in combination with food composition database information, or measures of three biomarkers estimating the intake of flavan-3-ols, epicatechin, and nitrates. The models showed that self-reported intake and food database information often led to inaccurate results that did not align well with biomarker measurements. Measuring nutritional biomarkers provides a more accurate and unbiased assessment of nutritional intake. Using these measurements instead of traditional methods for measuring nutrient intake may help increase the reliability of nutrition research. Scientists must work to identify and confirm biomarkers of nutrients to facilitate this work. Using these more precise nutrient measurements in studies may result in more consistent results. It may also lead to more trustworthy recommendations for consumers.

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.

Higher Magnesium Depletion Score Increases the Risk of All-cause and Cardiovascular Mortality in Hypertension Participants.

The magnesium depletion score (MDS) is a novel index utilized for evaluating body magnesium status. The present study intended to explore the association of MDS with mortality among hypertension (HTN) participants. In this cohort study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) covering the years 2003 to 2018. MDS levels were categorized into three groups (lower: MDS = 0-1; middle: MDS = 2; higher: MDS = 3-5). Kaplan-Meier curves were employed to illustrate survival differences between groups with varying MDS levels. The relationship between MDS and mortality was assessed through weighted multivariate Cox regression models. Subgroup analyses, along with sensitivity analyses, were also conducted to further explore and validate the findings. This study encompassed 12,485 participants, recording 2537 all-cause deaths and 707 cardiovascular deaths. The Kaplan-Meier curves revealed that the higher MDS group had the highest rates of all-cause and cardiovascular death. (P < 0.001). Controlling for all confounding variables, participants belonging to the higher MDS group demonstrated a substantially elevated risk of mortality in comparison to the lower MDS group (all-cause mortality: hazard ratio (HR) = 1.31, 95% confidence interval (CI) 1.10-1.54; cardiovascular mortality: HR = 1.63, 95% CI 1.19-2.22). There were no interaction factors found in subgroup analyses that affected the relationship between MDS and mortality, except for cardiovascular disease. The findings were confirmed to be robust through further sensitivity analyses. Higher MDS levels independently predict an elevated risk of mortality among US adults with HTN. Therefore, MDS may serve as a cost-effective and widely available prognostic marker for HTN.

Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros.

We consider measurement error models for two variables observed repeatedly and subject to measurement error. One variable is continuous, while the other variable is a mixture of continuous and zero measurements. This second variable has two sources of zeros. The first source is episodic zeros, wherein some of the measurements for an individual may be zero and others positive. The second source is hard zeros, i.e., some individuals will always report zero. An example is the consumption of alcohol from alcoholic beverages: some individuals consume alcoholic beverages episodically, while others never consume alcoholic beverages. However, with a small number of repeat measurements from individuals, it is not possible to determine those who are episodic zeros and those who are hard zeros. We develop a new measurement error model for this problem, and use Bayesian methods to fit it. Simulations and data analyses are used to illustrate our methods. Extensions to parametric models and survival analysis are discussed briefly.

Association between magnesium deficiency score and sleep quality in adults: A population-based cross-sectional study.

BACKGROUND: The association between magnesium status and sleep quality is unclear. The aim of this study was to determine the relationship between renal reabsorption-related magnesium depletion score (MDS) and sleep quality. METHODS: This study was conducted through a cross-sectional survey of adults aged ≥20 years who participated in NHANES 2005-2014. We used weighted logistic regression to examine the association between MDS and sleep quality and performed trend tests to analyze for the presence of a dose-response relationship. Subgroup analyses were performed based on various sleep outcomes and covariates. RESULTS: A total of 20,585 participants were included in the study, with a mean age of 48.8 years and 50.7 % female. After adjusting for all covariates, we found a graded dose-response relationship between MDS and sleep trouble as well as sleep disorder. Further analyses revealed a significant positive association between MDS and sleep apnea (OR = 3.01; 95 % CI 1.37-6.62), but no association with restless legs, insomnia or insufficient sleep. In addition, subgroup analyses revealed that middle-aged, male, obese, low magnesium intake, and depressed patients were more prone to sleep trouble and sleep disorder; interestingly, MDS was positively associated with excessive sleep in subjects ≥60 years and without depression. CONCLUSIONS: Our study found a significant association between MDS and sleep quality, particularly sleep apnea, but adequate magnesium intake may be beneficial in mitigating this association. MDS may be associated with excessive sleep in older adults, but not with insufficient sleep or insomnia.

A plant-based diet index to study the relation between diet and disease risk among adults: a narrative review.

Plant-based diets (PBD) may offer various health benefits and contribute to a sustainable way of life, but, if not planned correctly, may also confer risks, e.g., by focusing on plant foods with low nutrient density, such as foods primarily consisting of refined carbohydrates. A plant-based diet index (PDI) differentiating between a healthful, unhealthful, and overall PBD, offers a promising approach to standardize and compare studies and integrate results. In this review we (1) summarize current evidence on the PDI and disease risk of relevance to public health, (2) discuss the methodology of the PDI and how it can be sensibly applied in further studies and (3) indicate areas with a lack of knowledge, such as vulnerable populations. In summary, our amalgamation shows, that adherence to a healthier plant-based diet is associated with an 8-68% lower risk for metabolic risk factors, diabetes, and cardiovascular disease, while adherence to an unhealthier plant-based diet is associated with a 10-63% higher risk. Although differences in calculation methods and underlying diet patterns between populations should be accounted for, the PDI can be a useful tool to assess adherence to different plant-based diet patterns and their association with health outcomes in cohort studies across cultures.