Sarcopenia augments the risk of excess weight on COVID-19 hospitalization: A prospective study using the Lifelines COVID-19 cohort

OBJECTIVE

We investigated the associations of sarcopenia alone, overweight or obesity, and sarcopenic overweight or obesity with COVID-19 hospitalization.

METHODS

Participants from the Lifelines COVID-19 cohort who were infected with COVID-19 were included in this study. Sarcopenia was defined as a relative deviation of muscle mass of ≤ -1.0 SD from the sex-specific mean 24-h urinary creatinine excretion. Overweight or obesity was defined as a body mass index ≥ 25 kg/m2. Sarcopenic overweight or obesity was defined as the presence of overweight or obesity and low muscle mass. COVID-19 hospitalization was self-reported. Logistic regression models were used to analyze the associations of sarcopenia alone, overweight or obesity, and sarcopenic overweight or obesity with COVID-19 hospitalization.

RESULTS

Of the 3594 participants infected with COVID-19 and recruited in this study, 173 had been admitted to the hospital. Compared with the reference group, individuals with overweight or obesity and sarcopenic overweight or obesity were 1.78-times and 2.09-times more likely to have been hospitalized for COVID-19, respectively, whereas sarcopenia alone did not increase the risk of COVID-19 hospitalization.

CONCLUSIONS

In this middle-aged population, sarcopenic overweight or obesity elevated the risk of hospitalization for COVID-19 in those infected with COVID-19 more than overweight or obesity alone. These data support the relevance of sarcopenic overweight or obesity as a risk factor beyond the geriatric setting and should be considered in risk stratification in future public health and vaccination campaigns.

Types of fish consumption differ across socioeconomic strata and impact differently on plasma fish-based omega-3 fatty acids: a cross-sectional study

PURPOSE

We investigated the associations of socioeconomic position (SEP) with total and type of fish intake in a large general population and validated whether types of fish intake were differently associated with plasma EPA and DHA in a subset of the population.

METHODS

From the Lifelines Cohort Study, 94,246 participants aged 44 ± 13 years old were included to test the association of two SEP indicators, i.e., education level and household income level, with dietary intakes of total, oily, lean, fried, and other types of fish. In a subset of 575 participants (mean age: 50 ± 13 years), EPA and DHA levels were measured in plasma phospholipids and triglycerides. Dietary fish intake was assessed using Food Frequency Questionnaire. Linear regressions were applied and adjusted for relevant covariates.

RESULTS

Compared to the high education level, lower education levels were negatively associated with total, oily, lean, and other fish intake (p < 0.001 for all), and positively associated with fried fish intake (β (SE): 0.04 (0.04), p < 0.001 for middle education; 0.07 (0.04), p < 0.001 for low education), independently of relevant covariates. Similar results were observed for income levels. In the subset population, total and oily fish intakes were positively associated with plasma EPA and DHA (p < 0.02 for all). Lean and other fish intakes were positively associated with only DHA (p < 0.008 for all), but not EPA, while fried fish was not associated with either EPA or DHA in plasma (p > 0.1 for all).

CONCLUSION

Lower SEP was associated with a lower total intake of fish, and of oily and lean fish, but with higher intake of fried fish. Fried fish was not associated with the fish-based EPA and DHA in plasma. Hence, SEP-related differences in fish consumption are both quantitative and qualitative.

Socio-economic gradients in diagnosed and undiagnosed Type 2 diabetes and its related health complications

BACKGROUND AND AIMS

Diagnosed and undiagnosed Type 2 Diabetes (T2D) remains a challenge in high-income countries. In addition, the presence of T2D can cause further disease burden because of its high susceptibility to complications. Nevertheless, there is limited evidence of socio-economic gradients in undiagnosed T2D and its complications in a large population cohort. We investigated this using the Dutch Lifelines Cohort Study (Lifelines).

METHODS AND RESULTS

Within Lifelines, baseline data of 102 163 adults aged 30 and above were collected from 2007 to 2013. The associations of Socio-Economic Status (SES), indicated by monthly household income, with the prevalence of T2D status and the number of T2D complications were assessed using multinomial Poisson and linear regressions with adjustments for age and sex. The prevalence of diagnosed and undiagnosed T2D was, respectively, 3.0% and 3.0% in the low SES group compared to 1.1% and 1.8% in the high SES group. Individuals with lower SES were at higher risk of having undiagnosed T2D (relative risk ratio (rrr) [95% CI]: 1.63 [1.47-1.81] for low SES and 1.16 [1.05-1.29] for middle SES) and diagnosed T2D, compared with those with high SES. Lower SES was positively associated with the number of T2D complications (low SES vs. high SES (ref); B [95% CI]: 0.15 [0.13-0.16]).

CONCLUSION

Complementing the known socio-economic gradients in diagnosed T2D, we document socio-economic gradients in undiagnosed T2D and T2D complications in a single, large general representative population. Furthermore, individuals with low SES with diagnosed or undiagnosed T2D were more susceptible to T2D complications.

Effects of Education and Income on Incident Type 2 Diabetes and Cardiovascular Diseases: a Dutch Prospective Study

BACKGROUND

Education and income, as two primary socioeconomic indicators, are often used interchangeably in health research. However, there is a lack of clear distinction between these two indicators concerning their associations with health.

OBJECTIVE

This study aimed to investigate the separate and combined effects of education and income in relation to incident type 2 diabetes and cardiovascular diseases in the general population.

DESIGN AND PARTICIPANTS

Participants aged between 30 and 65 years from the prospective Dutch Lifelines cohort study were included. Two sub-cohorts were subsequently created, including 83,759 and 91,083 participants for a type 2 diabetes cohort and a cardiovascular diseases cohort, respectively.

MAIN MEASURES

Education and income level were assessed by self-report questionnaires. The outcomes were incident type 2 diabetes and cardiovascular diseases (defined as the earliest non-fatal cardiovascular event).

KEY RESULTS

A total of 1228 new cases of type 2 diabetes (incidence 1.5%) and 3286 (incidence 3.6%) new cases of cardiovascular diseases were identified, after a median follow-up of 43 and 44 months, respectively. Low education and low income (<1000 euro/month) were both positively associated with a higher risk of incident type 2 diabetes (OR 1.24 [95%CI 1.04-1.48] and OR 1.71 [95%CI 1.30-2.26], respectively); and with a higher risk of incident cardiovascular diseases (OR 1.15 [95%CI 1.04-1.28] and OR 1.24 [95%CI 1.02-1.52], respectively); independent of age, sex, lifestyle factors, BMI, clinical biomarkers, comorbid conditions at baseline, and each other. Results from the combined associations of education and income showed that within each education group, a higher income was associated with better health; and similarly, a higher education was associated with better health within each income group, except for the low-income group.

CONCLUSIONS

Education and income were both independently associated with incident type 2 diabetes and cardiovascular diseases. The combined associations of these two socioeconomic indicators revealed that within each education or income level, substantial health disparities existed across strata of the other socioeconomic indicator. Education and income are two equally important socioeconomic indicators in health, and should be considered simultaneously in health research and policymaking.

The fish paradox: people with low socio-economic status are not consuming the right type of fish

Background

Fish intake is included in several national food-based dietary guidelines as a component of healthy diet because of its rich source of beneficial omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). However, heterogeneity among types of fish intake is rarely studied. We investigated the associations of socio-economic status (SES) with total and types of fish intake and validated whether types of fish intake was associated with plasma EPA and DHA.

Methods

From the Lifelines cohort study, 94 246 participants aged 44 ± 13 years old were included to test the association of two SES indicators, i.e., education level and income level, with dietary intakes of total, fatty, lean, fried, and other types of fish. Plasma EPA and DHA were measured in a minor subset of 575 participants (mean age: 50 ± 13 years old). Total and types of fish intake was assessed using Food Frequency Questionnaire. Linear regressions were applied, adjusted for relevant covariates.

Results

After adjusting for covariates, middle and low education were negatively associated with total, fatty, lean, and other fish intake (p < 0.001 for all), and positively associated with fried fish intake (β (SE): 0.04 (0.04), p < 0.001 for middle education; 0.07 (0.04), p < 0.001 for high education), with high education as the reference group. Similar results were observed for income level. In the subset population, total and fatty fish were positively associated with plasma EPA and DHA (p < 0.02 for all). Lean and other fish intake were positively associated with only DHA (p < 0.008 for all), but not EPA, while fried fish was not associated with either EPA or DHA in plasma (p > 0.1 for all).

Conclusions

Lower SES was associated with higher intake of fried fish, which did not seem to be associated with the fish-based EPA and DHA in plasma. Both nutrition education and food price policy could be implemented to increase the awareness and shape people's choice on types of fish.

Key messages

• People with low socio-economic status are consuming the type of fish that is not associated with fish-based omega-3 fatty acids, so nutrition education focusing on avoidance of fried fish is needed.

• Food subsidy programs promoting intake and increasing affordability of healthier fish are needed to improve the nutritional awareness and status of our population.

Lifestyle patterns and incident type 2 diabetes in the Dutch lifelines cohort study

•

Lifestyle factors clustered in behavioral patterns within the population.

•

Different lifestyle patterns were differentially associated with risk of developing type 2 diabetes.

•

A lifestyle pattern may be a proxy for an underlying variable that is relevant for the prevention of type 2 diabetes.

We aimed to identify the underlying subgroups of the population characterized by distinct lifestyle patterns, and to investigate the associations between lifestyle patterns and risk of incident type 2 diabetes. Using data from the Dutch Lifelines cohort study, latent class analysis was performed to derive lifestyle patterns on five lifestyle factors, i.e., smoking, diet quality, TV watching time, physical activity level, and risk drinking. Associations between lifestyle patterns and incident type 2 diabetes were estimated. Among 61,869 participants analyzed, we identified 900 cases of type 2 diabetes during follow-up (205,696 person-years; incidence rate 4.38 per 1000 person-years). Five lifestyle pattern groups were identified. Using the “healthy lifestyle group” as reference, the “unhealthy lifestyle group” had the highest risk for type 2 diabetes (HR 1.51 [95%CI 1.24, 1.85]), followed by the “poor diet and low physical activity group” (HR 1.26 [95%CI 1.03, 1.55]). The “risk drinker group” and the “couch potato group” (characterized by excessive TV watching) showed no significantly elevated risk. These models were adjusted for age, sex, total energy intake, education, BMI, family history of diabetes, and blood glucose level at baseline. Our study shows that lifestyle factors tended to cluster in unique behavioral patterns within the heterogeneous population. These lifestyle patterns were differentially associated with incident type 2 diabetes. Our findings support the relevance of considering lifestyle patterns in type 2 diabetes prevention. Tailored prevention strategies that target multiple lifestyle risk factors for different lifestyle pattern groups may optimize the effectiveness of diabetes prevention at the population level.

Ultra-processed foods and risk of all-cause mortality in renal transplant recipients

BACKGROUND

Renal transplant recipients (RTRs) have a 6-fold higher risk of mortality than age- and sex-matched controls. Whether high consumption of ultra-processed foods is associated with survival in RTRs is unknown.

OBJECTIVES

We aimed to study the association between high consumption of ultra-processed foods and all-cause mortality in stable RTRs.

METHODS

We conducted a prospective cohort study in adult RTRs with a stable graft. Dietary intake was assessed using a validated 177-item FFQ. Food items were categorized according to the NOVA classification system and the proportion ultra-processed foods comprised of total food weight per day was calculated.

RESULTS

We included 632 stable RTRs (mean ± SD age: 53.0 ± 12.7 y, 57% men). Mean ± SD consumption of ultra-processed foods was 721 ± 341 g/d (28% of total weight of food intake), whereas the intake of unprocessed and minimally processed foods, processed culinary ingredients, and processed foods accounted for 57%, 1%, and 14%, respectively. During median follow-up of 5.4 y [IQR: 4.9-6.0 y], 129 (20%) RTRs died. In Cox regression analyses, ultra-processed foods were associated with all-cause mortality (HR per doubling of percentage of total weight: 2.13; 95% CI: 1.46, 3.10; P < 0.001), independently of potential confounders. This association was independent from the quality of the overall dietary pattern, expressed by the Mediterranean Diet Score (MDS) or Dietary Approaches to Stop Hypertension (DASH) score. When analyzing ultra-processed foods by groups, only sugar-sweetened beverages (HR: 1.21; 95% CI: 1.05, 1.39; P = 0.007), desserts (HR: 1.24; 95% CI: 1.02, 1.49; P = 0.03), and processed meats (HR: 1.87; 95% CI: 1.22, 2.86; P = 0.004) were associated with all-cause mortality.

CONCLUSIONS

Consumption of ultra-processed foods, in particular sugar-sweetened beverages, desserts, and processed meats, is associated with a higher risk of all-cause mortality after renal transplantation, independently of low adherence to high-quality dietary patterns, such as the Mediterranean diet and the DASH diet.This trial was registered at clinicaltrials.gov as NCT02811835.

Ultraprocessed food consumption and kidney function decline in a population-based cohort in the Netherlands

BACKGROUND

Ultraprocessing makes food products more convenient, appealing, and profitable. Recent studies show that high ultraprocessed food (UPF) intake is associated with cardiometabolic diseases.

OBJECTIVES

The aim of this study is to investigate the association between UPF consumption and risks of kidney function decline in the general population.

METHODS

In a prospective, general population-based Lifelines cohort from Northern Netherlands, 78,346 participants free of chronic kidney disease (CKD) at baseline responded to a 110-item FFQ. We used a multivariable regression analysis to study the associations of the proportion (in grams/day) of UPFs in the total diet with a composite kidney outcome [incident CKD or a ≥30% estimated glomerular filtration rate (eGFR) decline relative to baseline] and annual change in eGFR.

RESULTS

On average, 37.7% of total food intake came from UPFs. After 3.6 ± 0.9 years of follow-up, 2470 participants (3.2%) reached the composite kidney outcome. Participants in the highest quartile of UPF consumption were associated with a higher risk of the composite kidney outcome (OR, 1.27; 95% CI, 1.09-1.47; P = 0.003) compared with those in the lowest quartile, regardless of their macro- or micronutrient intake or diet quality. Participants in the highest quartile had a more rapid eGFR decline (β, -0.17; 95% CI, -0.23 to -0.11; P < 0.001) compared with those in the lowest quartile. Associations were generally consistent across different subgroups.

CONCLUSIONS

Higher UPF consumption was associated with a higher risk of a composite kidney outcome (incident CKD or ≥30% eGFR decline) and a more rapid eGFR decline in the general population, independent of confounders and other dietary indices.

Using Structural Equation Modeling to Untangle Pathways of Risk Factors Associated with Incident Type 2 Diabetes: the Lifelines Cohort Study

Risk factors for type 2 diabetes are multifaceted and interrelated. Unraveling the complex pathways of modifiable risk factors related to incident type 2 diabetes will help prioritize prevention targets. The current analysis extended a previously proposed conceptual model by Bardenheier et al. (Diabetes Care, 36(9), 2655–2662, 2013) on prediabetes with a cross-sectional design. The model described the pathways of four aspects of modifiable risk factors in relation to incident type 2 diabetes, including socioeconomic status (income and education); lifestyle behaviors (diet quality, physical activity, TV watching, smoking, risk drinking, and unhealthy sleep duration); clinical markers (HDL-cholesterol, triglycerides, BMI, and waist circumference); and blood pressure. We performed structural equation modeling to test this conceptual model using a prospective population-based sample of 68,649 participants (35–80 years) from the Lifelines cohort study. During a median follow-up of 41 months, 1124 new cases of type 2 diabetes were identified (incidence 1.6%). The best-fitting model indicated that among all modifiable risk factors included, waist circumference had the biggest direct effect on type 2 diabetes (standardized β-coefficient 0.214), followed by HDL-cholesterol (standardized β-coefficient − 0.134). Less TV watching and more physical activity were found to play an important role in improving clinical markers that were directly associated with type 2 diabetes. Education had the biggest positive effects on all lifestyle behaviors except for unhealthy sleep duration. Our analysis provides evidence to support that structural equation modeling enables a holistic assessment of the interplay of type 2 diabetes risk factors, which not only allows the estimation of their total effects but also prioritization of prevention targets. Regarding the current guideline for diabetes prevention, waist management in addition to BMI control (clinical level), as well as less TV watching in addition to more physical activity (behavioral level), may provide additional public health benefits. Better education would be the main societal goal for the prevention of type 2 diabetes.

Ultra-processed food and incident type 2 diabetes: studying the underlying consumption patterns to unravel the health effects of this heterogeneous food category in the prospective Lifelines cohort

BACKGROUND

The overall consumption of ultra-processed food (UPF) has previously been associated with type 2 diabetes. However, due to the substantial heterogeneity of this food category, in terms of their nutritional composition and product type, it remains unclear whether previous results apply to all underlying consumption patterns of UPF.

METHODS

Of 70,421 participants (35-70 years, 58.6% women) from the Lifelines cohort study, dietary intake was assessed with a food frequency questionnaire. UPF was identified according to the NOVA classification. Principal component analysis (PCA) was performed to derive UPF consumption patterns. The associations of UPF and adherence to UPF consumption patterns with incidence of type 2 diabetes were studied with logistic regression analyses adjusted for age, sex, diet quality, energy intake, alcohol intake, physical activity, TV watching time, smoking status, and educational level.

RESULTS

During a median follow-up of 41 months, a 10% increment in UPF consumption was associated with a 25% higher risk of developing type 2 diabetes (1128 cases; OR 1.25 [95% CI 1.16, 1.34]). PCA revealed four habitual UPF consumption patterns. A pattern high in cold savory snacks (OR 1.16 [95% CI 1.09, 1.22]) and a pattern high in warm savory snacks (OR 1.15 [95% CI 1.08, 1.21]) were associated with an increased risk of incident type 2 diabetes; a pattern high in traditional Dutch cuisine was not associated with type 2 diabetes incidence (OR 1.05 [95% CI 0.97, 1.14]), while a pattern high in sweet snacks and pastries was inversely associated with type 2 diabetes incidence (OR 0.82 [95% CI 0.76, 0.89]).

CONCLUSIONS

The heterogeneity of UPF as a general food category is reflected by the discrepancy in associations between four distinct UPF consumption patterns and incident type 2 diabetes. For better public health prevention, research is encouraged to further clarify how different UPF consumption patterns are related to type 2 diabetes.

Separate and combined effects of individual and neighbourhood socio-economic disadvantage on health-related lifestyle risk factors: a multilevel analysis

BACKGROUND

Socio-economic disadvantage at both individual and neighbourhood levels has been found to be associated with single lifestyle risk factors. However, it is unknown to what extent their combined effects contribute to a broad lifestyle profile. We aimed to (i) investigate the associations of individual socio-economic disadvantage (ISED) and neighbourhood socio-economic disadvantage (NSED) in relation to an extended score of health-related lifestyle risk factors (lifestyle risk index); and to (ii) investigate whether NSED modified the association between ISED and the lifestyle risk index.

METHODS

Of 77 244 participants [median age (IQR): 46 (40-53) years] from the Lifelines cohort study in the northern Netherlands, we calculated a lifestyle risk index by scoring the lifestyle risk factors including smoking status, alcohol consumption, diet quality, physical activity, TV-watching time and sleep time. A higher lifestyle risk index was indicative of an unhealthier lifestyle. Composite scores of ISED and NSED based on a variety of socio-economic indicators were calculated separately. Linear mixed-effect models were used to examine the association of ISED and NSED with the lifestyle risk index and to investigate whether NSED modified the association between ISED and the lifestyle risk index by including an interaction term between ISED and NSED.

RESULTS

Both ISED and NSED were associated with an unhealthier lifestyle, because ISED and NSED were both positively associated with the lifestyle risk index {highest quartile [Q4] ISED beta-coefficient [95% confidence interval (CI)]: 0.64 [0.62-0.66], P < 0.001; highest quintile [Q5] NSED beta-coefficient [95% CI]: 0.17 [0.14-0.21], P < 0.001} after adjustment for age, sex and body mass index. In addition, a positive interaction was found between NSED and ISED on the lifestyle risk index (beta-coefficient 0.016, 95% CI: 0.011-0.021, Pinteraction < 0.001), which indicated that NSED modified the association between ISED and the lifestyle risk index; i.e. the gradient of the associations across all ISED quartiles (Q4 vs Q1) was steeper among participants residing in the most disadvantaged neighbourhoods compared with those who resided in the less disadvantaged neighbourhoods.

CONCLUSIONS

Our findings suggest that public health initiatives addressing lifestyle-related socio-economic health differences should not only target individuals, but also consider neighbourhood factors.

Socio-economic disparities in self-reported, tested, and diagnosed COVID-19 status

Backgrounds

Studies in clinical settings showed a potential relationship between Socio-Economic Status (SES) and lifestyle factors with COVID-19, but it is still unknown whether this holds in the general population. In this study we investigated the associations of SES with self-reported, tested, and diagnosed COVID-19 status in the general population.

Methods

Participants were 49,474 men and women (46 ± 12 yrs) residing in the Northern Netherlands from the Lifelines cohort study. SES indicators and lifestyle factors (i.e., smoking status, physical activity, alcohol intake, diet quality, sleep time, and TV watching time) were assessed by questionnaire from the Lifelines Biobank. Self-reported, tested, and diagnosed COVID-19 status were obtained from the Lifelines COVID-19 questionnaire.

Results

There were 4,711 participants who self-reported having had a COVID-19 infection, 2,883 participants tested for COVID-19, and 123 positive cases diagnosed in this study population. After adjustment for age, sex, lifestyle factors, BMI, and ethnicity, we found that participants with low education or low income were less likely to self-report a COVID-19 infection (OR [95%CI]: low education 0.78 [0.71-0.86]; low income 0.86 [0.79-0.93]), and be tested for COVID-19 (OR [95%CI]: low education 0.58 [0.52-0.66]; low income 0.86 [0.78-0.95]) compared with high education or high income groups, respectively.

Conclusions

Our findings suggest that the low SES group was the most vulnerable population to COVID-19 infection and self-reported and tested COVID-19 status in the general population was better predicted by SES than by lifestyle factors.

Key messages

This study innovatively included a broader range of COVID-19 status, including self-reported and tested COVID-19 status, to better understand COVID-19 related socio-economic factors. This study added evidence to the socio-economically patterned COVID-19 status in a general population instead of in clinical settings.

Diet quality and incident chronic kidney disease in the general population: The Lifelines Cohort Study

RATIONALE & AIMS

Healthy dietary patterns have been associated with a lower risk of chronic kidney disease (CKD). We aimed to investigate the association of a fully food-based diet quality score assessed by the Lifelines Diet Score (LLDS) with either incident CKD or eGFR decline in the general population.

METHODS

For this study, data from a prospective general population-based Lifelines cohort in the Northern Netherlands was used. Diet was assessed with a 110-item food frequency questionnaire at baseline. The LLDS, based on international evidence for diet-disease relations at the food group level, was calculated to assess diet quality. For the analysis, the score was divided into tertiles. Logistic regression was performed to evaluate the association of the LLDS at baseline with either incident CKD (eGFR <60 mL/min/1.73 m²) or a ≥20% eGFR decline at the second study visit, adjusted for relevant confounders.

RESULTS

A total of 78 346 participants free of CKD at baseline were included. During a mean (SD) follow-up of 3.6 ± 0.9 years, 2071 (2.6%) participants developed CKD and 7611 (9.7%) had a ≥20% eGFR decline. Participants in the highest tertile of LLDS had a lower risk of incident CKD (fully adjusted OR 0.83, [95% CI: 0.72-0.96]) and ≥20% eGFR decline (fully adjusted OR 0.80, [95% CI: 0.75-0.86]), compared with those in the lowest tertile. Similar dose-response associations were observed in continuous LLDS.

CONCLUSIONS

Higher adherence to a high-quality diet was associated with a lower risk of incident CKD or ≥20% eGFR decline in the general population.

Regional variation in type 2 diabetes: evidence from 137 820 adults on the role of neighbourhood body mass index

BACKGROUND

Body mass index (BMI) is a key covariate in the study of type 2 diabetes, but can also be theorized as a contextual effect. The purpose of this study was to explore the extent to which variation in individual risk factors and neighbourhood BMI explain the variation in type 2 diabetes prevalence across neighbourhoods and municipalities.

METHODS

Cross-sectional data were collected from 137 820 adults aged ≥18 years from 3296 neighbourhoods in 296 municipalities in the Northern Netherlands. The odds of type 2 diabetes was assessed using a multilevel model. Median odds ratios were calculated and choropleth maps were created to visually assess neighbourhood variation in type 2 diabetes prevalence.

RESULTS

The overall prevalence of type 2 diabetes was 4%, ranging from 0 to ≥10 and 0-7% across neighbourhoods and municipalities, respectively. Of the regional variation, 67.0 and 71.6% is explained through variation of individual risk factors at the neighbourhood and municipality level, respectively. Analysis on the smallest spatial scale, i.e. the neighbourhood, best captured the regional variance. Statistically significant interaction between individual and neighbourhood BMI was found (OR = 1.06; 95% CI = 1.03-1.08, P for interaction < 0.001), adjusted for the individual risk profile.

CONCLUSION

The results suggest a more cautious interpretation of neighbourhood effects in type 2 diabetes is warranted, and reveals the need for further investigation into risk-prone groups to guide the design of community-level interventions to halt the rise in type 2 diabetes prevalence.

FC 081ULTRA-PROCESSED FOOD CONSUMPTION AND RISK OF INCIDENT CHRONIC KIDNEY DISEASE: THE LIFELINES COHORT

Background and Aims

Ultra-processed foods (UPF), that are widespread in Western-style diet, are risk factors for the development of cardiovascular disease, diabetes, obesity, hypertension, and all-cause mortality. The role of UPF in kidney function decline, however, is still unknown. The aim of this study was to investigate the associations of UPF consumption with incident CKD and estimated glomerular filtration rate (eGFR) decline. Additionally, we considered the heterogeneity of UPF by identifying different patterns of UPF consumption.

Method

The study was performed in a prospective general population-based cohort in the Northern Netherlands. A total of 78 346 participants who were free of CKD at baseline were included in this study. The dietary information was assessed at baseline using a 110-item food frequency questionnaire. The proportion (in weight) of UPF in the total diet was calculated and UPF consumption patterns were identified by principle component analysis (PCA). Multivariable logistic regression analyses were used to evaluated the associations of the proportion of UPF consumption and UPF patterns, respectively, with risk of incident CKD and a ≥20% eGFR decline.

Results

Average UPF consumption was 37.7% of total food intake in grams. After a mean (SD) follow-up of 7.9±1.1 years, 2 072 participants developed CKD and 7 611 had a ≥20% eGFR decline. The consumption of UPF was independently associated with a higher risk of incident CKD (OR for an absolute increment of 10 % of UPF in the diet 1.07 [95% CI 1.01-1.13], P=0.026) and with a higher risk of ≥20% eGFR decline (OR10% increment 1.07 [95% CI 1.05-1.10], P&lt;0.001). PCA revealed four habitual UPF consumption patterns. The “warm savory snack” pattern was associated with both incident CKD (OR 1.13 [1.04-1.23], P=0.003) and a ≥20% eGFR decline (OR 1.08 [1.05-1.11], P&lt;0.001). The “sweet snack” pattern was associated with eGFR decline (OR 1.06 [1.03-1.09], P&lt;0.001) only, whereas the “Dutch traditional” and the “cold snack” were not associated with CKD or eGFR decline.

Conclusion

A higher UPF consumption was associated with higher risks of incident CKD and eGFR decline in the general population. Different UPF consumption patterns were identified, with different impact on renal risk. The “warm savory snack” pattern and the “sweet snack” pattern were associated with kidney function decline. Our findings suggest that UPF need to be considered in designing future dietary strategies for CKD prevention.

Blood lipids-related dietary patterns derived from reduced rank regression are associated with incident type 2 diabetes

BACKGROUND & AIMS

Blood lipids play a critical role in the pathogenesis of type 2 diabetes, and they are closely related to dietary factors. However, the associations between blood lipids-related dietary patterns and risk of type 2 diabetes are controversial and not fully clear. In this study, we aimed to derive dietary patterns that explained variation in blood lipids and to investigate their associations with incident type 2 diabetes.

METHODS

The analysis was based on 39,000 women and 25,777 men participating in the Lifelines cohort study (aged 18-65 years, mean 43.2 years for women and 43.5 years for men). Dietary intake was measured using a 110-item semi-quantitative food frequency questionnaire. Reduced rank regression was used to derive dietary patterns with blood lipids (HDL-cholesterol, LDL-cholesterol, triglycerides, total cholesterol, and total cholesterol:HDL-cholesterol ratio) as response variables for women and men separately. The first dietary pattern identified for each sex was selected because they explained the largest variance in blood lipids. The associations between the identified dietary patterns and incident type 2 diabetes were subsequently investigated using multivariate logistic regression models. All analyses were performed separately for women and men.

RESULTS

During an average follow-up of 43 months, 479 new cases (incidence 0.74%) of type 2 diabetes were identified. Using reduced rank regression, we identified two sex-specific blood lipids-associated dietary patterns characterized by high intake of sugary beverages, added sugar, and low intake of vegetables, fruits, tea, and nuts/seeds. These two sex-specific dietary patterns were similar in food groups but differed in factor loadings. High dietary pattern scores were associated with increased risk of type 2 diabetes after adjustment for age, total energy intake, body mass index, waist-hip ratio, and blood pressure (ORs for the fifth quintile [Q5] using the first quintile [Q1] as reference, 1.87 [95% CI 1.23, 2.83] for women [P-trend < 0.001], and 1.72 [95% CI 1.11, 2.66] for men [P-trend = 0.018]). The associations were attenuated but remained significant after further adjustment for lifestyle and socio-economic factors.

CONCLUSIONS

Dietary patterns associated with adverse blood lipids are associated with incidence of type 2 diabetes. The present study provides new insights in optimizing blood lipids for the prevention of type 2 diabetes through dietary approaches.

Metabolic syndrome-related dietary pattern and risk of mortality in kidney transplant recipients

BACKGROUND AND AIMS

Presence of the metabolic syndrome (MetS) importantly contributes to excess mortality in kidney transplant recipients (KTRs). However, it is unclear which dietary factors drive the adverse role of MetS in KTRs. We aimed to define a dietary pattern that maximally explained the variation in MetS components, and to investigate the association between this MetS-related dietary pattern (MetS-DP) and all-cause mortality in KTRs.

METHODS AND RESULTS

We included 429 adult KTRs who had a functioning graft ⩾1 year. A MetS-DP was constructed using habitual dietary intake derived from a 177-item food frequency questionnaire. We used reduced rank regression (RRR), and defined the six components of MetS (waist circumference, systolic blood pressure, diastolic blood pressure, serum triglycerides, HbA1c, and HDL cholesterol) as response variables and 48 food groups as predictor variables. We evaluated the association between the MetS-DP and all-cause mortality using multivariable Cox regression analysis. The MetS-DP was characterized by high intakes of processed meat and desserts, and low intakes of vegetables, tea, rice, fruits, milk, and meat substitutes. During a mean follow-up of 5.3 ± 1.2 years, 63 KTRs (14.7%) died. Compared to the lowest tertile of the Mets-DP score, those with the greatest adherence had a more than 3-fold higher risk of all-cause mortality (hazard ratio [HR] = 3.63; 95% confidence interval [CI], 1.70-7.74, P < 0.001), independent of potential confounders.

CONCLUSIONS

We identified a MetS-related dietary pattern which was independently associated with all-cause mortality in KTRs. The association between this dietary pattern and all-cause mortality was mediated by MetS. Clinical trial reg. no. NCT02811835.

Association between socioeconomic status and self-reported, tested and diagnosed COVID-19 status during the first wave in the Northern Netherlands: a general population-based cohort from 49 474 adults

OBJECTIVES

Studies in clinical settings showed a potential relationship between socioeconomic status (SES) and lifestyle factors with COVID-19, but it is still unknown whether this holds in the general population. In this study, we investigated the associations of SES with self-reported, tested and diagnosed COVID-19 status in the general population.

DESIGN, SETTING, PARTICIPANTS AND OUTCOME MEASURES

Participants were 49 474 men and women (46±12 years) residing in the Northern Netherlands from the Lifelines cohort study. SES indicators and lifestyle factors (i.e., smoking status, physical activity, alcohol intake, diet quality, sleep time and TV watching time) were assessed by questionnaire from the Lifelines Biobank. Self-reported, tested and diagnosed COVID-19 status was obtained from the Lifelines COVID-19 questionnaire.

RESULTS

There were 4711 participants who self-reported having had a COVID-19 infection, 2883 participants tested for COVID-19, and 123 positive cases were diagnosed in this study population. After adjustment for age, sex, lifestyle factors, body mass index and ethnicity, we found that participants with low education or low income were less likely to self-report a COVID-19 infection (OR [95% CI]: low education 0.78 [0.71 to 0.86]; low income 0.86 [0.79 to 0.93]) and be tested for COVID-19 (OR [95% CI]: low education 0.58 [0.52 to 0.66]; low income 0.86 [0.78 to 0.95]) compared with high education or high income groups, respectively.

CONCLUSION

Our findings suggest that the low SES group was the most vulnerable population to self-reported and tested COVID-19 status in the general population.

Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort

PURPOSE

The Lifelines COVID-19 cohort was set up to assess the psychological and societal impacts of the COVID-19 pandemic and investigate potential risk factors for COVID-19 within the Lifelines prospective population cohort.

PARTICIPANTS

Participants were recruited from the 140 000 eligible participants of Lifelines and the Lifelines NEXT birth cohort, who are all residents of the three northern provinces of the Netherlands. Participants filled out detailed questionnaires about their physical and mental health and experiences on a weekly basis starting in late March 2020, and the cohort consists of everyone who filled in at least one questionnaire in the first 8 weeks of the project. FINDINGS TO DATE: >71 000 unique participants responded to the questionnaires at least once during the first 8 weeks, with >22 000 participants responding to seven questionnaires. Compiled questionnaire results are continuously updated and shared with the public through the Corona Barometer website. Early results included a clear signal that younger people living alone were experiencing greater levels of loneliness due to lockdown, and subsequent results showed the easing of anxiety as lockdown was eased in June 2020.

FUTURE PLANS

Questionnaires were sent on a (bi)weekly basis starting in March 2020 and on a monthly basis starting July 2020, with plans for new questionnaire rounds to continue through 2020 and early 2021. Questionnaire frequency can be increased again for subsequent waves of infections. Cohort data will be used to address how the COVID-19 pandemic developed in the northern provinces of the Netherlands, which environmental and genetic risk factors predict disease susceptibility and severity and the psychological and societal impacts of the crisis. Cohort data are linked to the extensive health, lifestyle and sociodemographic data held for these participants by Lifelines, a 30-year project that started in 2006, and to data about participants held in national databases.

Prevalence of sarcopenic obesity and sarcopenic overweight in the general population: The lifelines cohort study

BACKGROUND & AIMS

Sarcopenic obesity (SO) is defined by a relatively low muscle mass in combination with obesity. Sarcopenic obesity was first noted as a health risk in geriatric populations but has recently been recognized as a scientific and clinical priority that may extend beyond geriatric settings. Obesity is generally preceded by overweight, so the prevalence and health risks of sarcopenia in those with overweight (SOW) is of interest for preventive purposes. The aim of this study, therefore, was to assess the prevalence and determinants of SO and SOW in a general population.

METHODS

Participants (n = 119,494), aged 18-90 years were included from the Dutch Lifelines cohort study. Muscle mass was assessed by 24-h urine creatinine excretion and stratified for gender for analysis, and obesity was defined as a Body Mass Index (BMI) ≥30 kg/m² and overweight ≥25 kg/m². Multivariate logistic regression models were applied to assess the relevant determinants of SO and SOW.

RESULTS

Respectively for men and women the prevalence of SO was 0.9% and 1.4%, and prevalence of SOW 6.5% and 6.0%. In subjects with sarcopenia, BMI was ≥25 kg/m² in 45.5% and ≥30 kg/m² in 6.1%. Overall females had a higher prevalence of SOW and SO in all age groups except for SOW in males between ages 40-59. Also, age was a significant determinant of SO and SOW, with a rise in prevalence as of age 50. Of all subjects with SO and SOW, respectively 82.5% and 80.4% were below the age of 70. Compared to those with no morbidities, the odds ratio of SO and SOW among participants with >3 comorbidities was 2.71 (95% CI: 1.62-4.54) and 1.33 (95% CI: 1.07-1.65) among males and 1.14 (95% CI: 0.79-1.65) and 1.28 (95% CI: 1.06-1.54) among females, independent of other determinants. Overall, an inverse association was found between SOW and SO and physical activity and macronutrient intake.

CONCLUSION

The results support the need for more awareness of SO beyond the field of geriatrics, in particular in subjects with comorbidities. SOW is more prevalent than SO and may provide opportunities for preventive strategies for the general population.

Nutritional Status and Diet in Elderly with Low and High Socioeconomic Status

Background

Socioeconomic status (SES) patterned health disparities have been related to differences in dietary intake, especially in the elderly. Still, it is not known to what extent these differences culminate in vitamin deficiencies, as most studies have assessed nutrient intake, instead of measuring nutritional biomarkers. Hence, we aimed to objectively assess nutritional status in elderly with low and high SES and to investigate whether potential differences therein were mediated by diet.

Methods

1605 individuals (60-75 years) were selected from the LifeLines Cohort Study to create two gender-matched groups with different SES. Nutritional status was assessed by measuring folic acid, vitamin B6, B12, D, A, E and K in the collected samples. SES-groups were defined according to highest completed education as high and low, and dietary quality was assessed the Lifelines Diet Score. Multiple linear regression and logistic regression were first used for the association between SES and vitamin status; and mediation analysis was used to explore the relationship of SES, diet and vitamin status.

Results

The overall prevalence of vitamin deficiency ranged from 4.1% (vitamin B6) to 19.5% (folic acid). The low SES group had significantly poorer status (p ≤ 0.04) of most vitamins, including the B vitamins (i.e., folic acid, B12 and B6) as well as multivitamin deficiencies (p ≤ 0.02). Low SES was independently associated with decreased folic acid, vitamin B6, vitamin B12, and vitamin A serum concentrations (p ≤ 0.03 for all). Diet quality was found to partially mediate the association between SES, and folic acid (39.1%), vitamin B6 (37.1%) and vitamin B12 (37.2%)(P ≤ 0.03).

Conclusions

Low SES is a risk factor for suboptimal nutritional status. The association between SES and nutritional status can be partially explained by diet quality, suggesting that policy makers can mitigate socioeconomic inequality in nutritional status by improving diet quality among elderly.

Key messages

Revealed that low SES was a risk factor for a suboptimal nutritional status among the elderly and a possible self-reinforcing trap has formed which causes low SES and hidden hunger to persist. Highlighted the importance of diet quality in socioeconomically patterned health disparities and indicating the need for SES-tailored public health strategies.

Associations of ultra-processed food and its consumption patterns with incident type 2 diabetes

Background

To study the associations of the consumption of ultra-processed food (UPF) and its underlying habitual consumption patterns with incident type 2 diabetes (T2D) in a large population-based cohort.

Methods

In 70 421 participants (35-70 years, 58.6% women) from the Lifelines cohort study, dietary intake was assessed with a food frequency questionnaire. Principal component analysis (PCA) was performed to derive UPF consumption patterns. UPF was related to incident diabetes with adjustments for confounders, including overall diet quality.

Results

During a median follow-up of 41 months, the intake of UPF was associated with higher risk of type 2 diabetes (1128 cases, OR for a 10% increment in UPF intake 1.33 [95% CI 1.26, 1.41]), and remained significant after adjustment for confounders. PCA revealed four habitual UPF consumption patterns. A pattern high in cold savory snacks (OR 1.16 [95% CI 1.09, 1.22]) and a pattern high in warm savory snacks (OR 1.15 [95% CI 1.08, 1.21]) were associated with an increased diabetes risk; a pattern high in traditional Dutch cuisine was not associated with diabetes risk (OR 1.05 [95% CI 0.97, 1.14]); while a pattern high in sweet snacks and pastries was inversely associated with diabetes risk (OR 0.82 [95% CI 0.76, 0.89]). There was a clear inverse association between diabetes risk at baseline and the sweet snacks and pastries pattern (β = -0.104 [95% CI -0.113, -0.094]).

Conclusions

A higher consumption of UPF was associated with higher risk of type 2 diabetes. For consumption patterns, this association was most pronounced for the patterns that were high in savory snacks. Our findings emphasize that in addition to promoting the consumption of healthy food products, discouraging the consumption of UPF, specifically savory snacks, should be considered as part of future diabetes prevention strategies.

Key messages

Ultra-processed foods intake was associated with increased risk of type 2 diabetes. Consumption patterns of ultra-processed foods should be the focus for future policies.

Health disparities by neighborhood socioeconomic status and the role of spatial spillovers

Background

The contextual determinants of population health disparities across neighborhoods with similar socioeconomic characteristics are not well understood. We aimed to estimate subjective and objective population health measures within and between neighborhoods with similar socioeconomic status (NSES) scores, and the (in)direct potential of a spillover effect of NSES of adjacent neighborhoods.

Methods

Based on whole-population neighborhood data we determined the percentage of inhabitants with good/very good self-assessed health (SAH) and with at least one chronic disease (CD) in 11,521 neighborhoods with on average 1,470 inhabitants. Neighborhoods were classified by the quintile of a composite NSES score. Spatial lag of X models was applied by including neighborhood cross-sectional units on population density, the percentage of inhabitants aged 65 and over, and the NSES of adjacent neighborhoods by constructing a spatial weights matrix.

Results

Substantial population health disparities in SAH and CD both between neighborhoods with different and similar NSES scores were observed, with the largest SAH variance in the lowest NSES group. These differences were only partially explained by neighborhood characteristics. Neighborhoods adjacent to higher SES neighborhoods showed a higher SAH and a lower prevalence of CD, adjusted for other explanatory variables. When NSES in the first decile would be increased to the NSES of the quintile median, the direct effect on SAH would increase by 5.6% in the lowest NSES group. Spillovers would lead to an additional increase of 1.7% in all NSES groups.

Conclusions

Population health differs substantially among neighborhoods with similar socioeconomic characteristics, which can partially be explained by a socioeconomic spillover effect. The mechanisms behind these spillovers need further study, but may already provide interesting leads to policy design aimed at improving population health outcomes of deprived neighborhoods.

Key messages

Neighborhood population health is partially affected by a SES spillover effect. This study provides interesting leads to policy design aimed at improving health outcomes of deprived neighborhoods.

Using Structural Equation Modelling to Untangle Pathways of Factors Associated with Type 2 Diabetes

Background

Risk factors for type 2 diabetes (T2D) are multi-facet and interrelated. We aimed to apply structural equation modelling to examine and quantify pathways of modifiable risk factors related to incident type 2 diabetes.

Methods

Analysis was based on 68 649 participants (35-80 years, without diabetes at baseline) from the Lifelines cohort study. We proposed a conceptual model that illustrates the pathways of risk factors related to incident type 2 diabetes: socio-economic status (income and education) → lifestyle behaviors (diet quality, physical activity, TV watching, and smoking) → clinical markers (blood lipids and obesity status) → incident type 2 diabetes. Structural equation modeling was performed to test this proposed model.

Results

After a median follow-up of 41 months, 1124 new cases of type 2 diabetes were identified. The best-fitting model indicated that among all modifiable risk factors included, waist circumference had the biggest direct effect on type 2 diabetes (β: 0.213 ), followed by HDL-cholesterol (β: -0.141). Less TV watching and more physical activity were found to play an important role in improving clinical markers that were directly associated with type 2 diabetes. Education had the biggest direct effects on all lifestyle behaviors.

Conclusions

Using this innovative approach, our analysis provides a more nuanced assessment of the interplay of type 2 diabetes risk factors, compared to traditional risk estimates. Our results indicated that reducing large waist circumference may be prioritized as the main target for the prevention of type 2 diabetes, and lifestyle interventions are urgently warranted with additional support for those with a low education.

Key messages

Our study elucidated the multiple causal pathways to type 2 diabetes in a prospective setting. Our results identified the most critical targets for future prevention strategies for type 2 diabetes.

Vitamin Status and Diet in Elderly with Low and High Socioeconomic Status: The Lifelines-MINUTHE Study

Socioeconomic health inequalities are an important global public health problem. However, it is not well known to what extent socioeconomic inequalities culminate in impaired vitamin status and whether this is mediated by diet. We, therefore, aimed to assess vitamin status in a population already at increased risk of micronutrient deficiency, i.e., elderly with high and low socioeconomic status (SES), and to investigate whether potential differences therein were mediated by diet quality. Vitamin status in 1605 individuals (60–75 years) from the Lifelines- Micronutrients and Health inequalities in Elderly (MINUTHE) Study was assessed by measuring folic acid and the vitamins B6, B12, D, A, E, and K. Multinomial logistic and linear regression analyses were applied to test the associations between SES and vitamin status. Mediation analysis was used to explore the interrelationship between SES, diet quality, and vitamin status. Low SES was associated with poorer status of vitamin B6, vitamin B12, and, notably, folic acid. Moreover, multivitamin deficiencies were more prevalent in the low SES group. Diet quality was found to mediate the associations of SES with folic acid (for 39.1%), vitamin B6 (for 37.1%), and vitamin B12 (for 37.2%). We conclude that low SES is a risk factor for a spectrum of vitamin deficiencies. Diet quality can partially explain the socioeconomic differences in vitamin status, suggesting that policymakers can mitigate socioeconomic inequality in nutritional status through improving diet quality.

P1653METABOLIC SYNDROME-RELATED DIETARY PATTERN AND RISK FOR MORTALITY IN RENAL TRANSPLANT RECIPIENTS

Background and Aims

The metabolic syndrome (MetS) is an important risk factor for premature mortality in renal transplant recipients (RTR). Diet plays an important role in MetS development. Although an unhealthy diet may affect the long term outcome in RTR, no specific dietary patterns have been established that are linked with MetS in RTR. Reduced rank regression (RRR) has emerged as a method that identifies linear functions of predictor variables (food groups) that explain maximized variation in the response variables (biomarkers). We aim to identify a MetS-related dietary pattern (MetS-DP) in RTR, and to test its association with all-cause mortality.

Method

We included 432 adult RTR who had a functioning graft ≥1 year and were free of diabetes at baseline. The MetS-DP was constructed at baseline using dietary information derived from a 177-item food frequency questionnaire by reduced rank regression (RRR). In the RRR model, six components of MetS were used as response variable (age- and sex- adjusted waist circumference, systolic blood pressure, diastolic blood pressure, serum triglycerides, HbA1c, and HDL cholesterol), and 48 food groups were made as predictor variables. Using Cox proportional regression, we evaluated the association between the Met-DP score and all-cause mortality in RTR.

Results

The MetS-DP was characterized by a high intake of fat processed meat and desserts, and a low intake of vegetables, tea, rice, fruits, milk and vegetarian products. During a mean follow-up of 5.2 ±1.2 year, 64 RTRs (14.8%) died. Multivariate analysis showed that RTR in the highest tertile of MetS-DP score had a higher risk of all-cause mortality (hazard ratio [HR]=2.38; 95% confidence interval [CI],1.16-4.91, P=0.018) compared to the lowest tertile, independent of potential confounders.

Conclusion

The results suggest that the MetS-DP is significantly associated with all-cause mortality in RTR. Dietary measures may be useful to prevent MetS and reduce mortality in RTR.

Dietary Patterns Based on Estimated Glomerular Filtration Rate and Kidney Function Decline in the General Population: The Lifelines Cohort Study

No specific dietary patterns have been established that are linked with loss of kidney function. We aimed to identify an estimated glomerular filtration rate-based dietary pattern (eGFR-DP) and to evaluate its association with eGFR decline and chronic kidney disease (CKD) incidence in the general population. We included 78,335 participants from the Lifelines cohort in the Northern Netherlands. All participants had an eGFR >60 mL/min/1.73 m² at baseline and completed a second visit five years later. The eGFR-DP was constructed at baseline using a 110-item food frequency questionnaire by reduced rank regression, stratified by sex. Logistic regression was performed to evaluated the association between the eGFR-DP score and either a ≥20% eGFR decline or incident CKD. Among women, eGFR-DP were characterized by high consumption of egg, cheese, and legumes and low consumption of sweets, white meat, and commercially prepared dishes. In men, eGFR-DP were characterized by high consumption of cheese, bread, milk, fruits, vegetables, and beer and low consumption of white and red meat. A higher eGFR-DP score was associated with a lower risk of a ≥20% eGFR decline (OR 4th vs. 1st quartile, women: 0.79 [95% CI: 0.73-0.87]; men: 0.67 [0.59-0.76]). The association between the eGFR-DP score and CKD incidence was lost upon adjustment for baseline eGFR. Our results provide support for dietary interventions to prevent kidney function decline in the general population.

Duality of Tocopherol Isoforms and Novel Associations with Vitamins Involved in One-Carbon Metabolism: Results from an Elderly Sample of the LifeLines Cohort Study

Whether the affinity of serum vitamin E with total lipids hampers the appropriate assessment of its association with age-related risk factors has not been investigated in epidemiological studies. We aimed to compare linear regression-derived coefficients of the association of non-indexed and total lipids-indexed vitamin E isoforms with clinical and laboratory characteristics pertaining to the lipid, metabolic syndrome, and one-carbon metabolism biological domains. We studied 1429 elderly subjects (non-vitamin supplement users, 60-75 years old, with low and high socioeconomic status) from the population-based LifeLines Cohort and Biobank Study. We found that the associations of tocopherol isoforms with lipids were inverted in total lipids-indexed analyses, which may be indicative of overcorrection. Irrespective of the methods of standardization, we consistently found positive associations of α-tocopherol with vitamins of the one-carbon metabolism pathway and inverse associations with characteristics related to glucose metabolism. The associations of γ-tocopherol were often opposite to those of α-tocopherol. These data suggest that tocopherol isoforms and one-carbon metabolism are related, with beneficial and adverse associations for α-tocopherol and γ-tocopherol, respectively. Whether tocopherol isoforms, or their interplay, truly affect the one-carbon metabolism pathway remains to be further studied.

Cheese and Healthy Diet: Associations With Incident Cardio-Metabolic Diseases and All-Cause Mortality in the General Population

Background: Many countries have established Food-Based Dietary Guidelines (FBDG). For some foods, such as cheese, there is no consensus on whether or not to include them in these guidelines. Cheese may, however, be an excellent source of vitamin K2, which is a macronutrient with demonstrated positive results on cardiovascular-related outcomes.

Aim: First, we assessed the role of cheese within the recently developed Lifelines Diet Score (LLDS), a score based on the Dutch FBDG 2015 in relation to incident cardio-metabolic diseases and all-cause mortality. Secondly, we assessed the association of cheese intake with desphospho-uncarboxylated matrix Gla protein (dp-ucMGP), a marker for functional vitamin K2 status, in a subset of the population.

Methods: From the Lifelines cohort study, 122,653 adult participants were included to test the association between de LLDS and health outcomes. In a subset of 1,059 participants aged 60–75 years, dp-ucMGP levels were measured. Dietary intake was assessed using a 110-item Food Frequency Questionnaire. Logistic regression were applied, adjusted for relevant confounders.

Results: Median cheese intake was 23.5 [12.6–40.6] g/day. We found a positive correlation between cheese intake and the LLDS (Spearman's rho = 0.024, p < 0.001). The LLDS in quintiles was associated with T2DM [OR (95% CI) Q5 (healthy diet) vs. Q1 (poor diet) = 0.54 (0.43–0.67)] and all-cause mortality [Q5 vs. Q1 = 0.62 (0.50–0.76)]. Inclusion of cheese did not alter these associations. Additionally, we found no significant association of total cheese intake with plasma dp-ucMGP levels.

Conclusion: In this population-based cohort study, the inclusion of cheese in the LLDS did not change the inverse associations with incident cardio-metabolic diseases and all-cause mortality. Furthermore, we found no significant association of total cheese intake with plasma dp-ucMGP. The results suggest that cheese is a neutral food group that fits a healthy diet.

Ethnicity and socioeconomic status are related to dietary patterns at age 5 in the Amsterdam born children and their development (ABCD) cohort

BACKGROUND

Health inequalities are already present at young age and tend to vary with ethnicity and socioeconomic status (SES). Diet is a major determinant of overweight, and studying dietary patterns as a whole in relation to overweight rather than single nutrients or foods has been suggested. We derived dietary patterns at age 5 and determined whether ethnicity and SES were both related to these dietary patterns.

METHODS

We analysed 2769 validated Food Frequency Questionnaires filled in by mothers of children (5.7 ± 0.5y) in the Amsterdam Born Children and their Development (ABCD) cohort. Food items were reduced to 41 food groups. Energy adjusted intake per food group (g/d) was used to derive dietary patterns using Principal Component Analysis and children were given a pattern score for each dietary pattern. We defined 5 ethnic groups (Dutch, Surinamese, Turkish, Moroccan, other ethnicities) and 3 SES groups (low, middle, high, based on maternal education). Multivariate ANOVA, with adjustment for age, gender and maternal age, was used to test potential associations between ethnicity or SES and dietary pattern scores. Post-hoc analyses with Bonferroni adjustment were used to examine differences between groups.

RESULTS

Principal Component Analysis identified 4 dietary patterns: a snacking, full-fat, meat and healthy dietary pattern, explaining 21% of the variation in dietary intake. Ethnicity was related to the dietary pattern scores (p < 0.01): non-Dutch children scored high on snacking and healthy pattern, whereas Turkish children scored high on full-fat and Surinamese children on the meat pattern. SES was related to the snacking, full-fat and meat patterns (p < 0.01): low SES children scored high on the snacking and meat pattern and low on the full-fat pattern.

CONCLUSIONS

This study indicates that both ethnicity and SES are relevant for dietary patterns at age 5 and may enable more specific nutrition education to specific ethnic and low socioeconomic status target groups.

Comparable Dietary Patterns Describe Dietary Behavior across Ethnic Groups in the Netherlands, but Different Elements in the Diet Are Associated with Glycated Hemoglobin and Fasting Glucose Concentrations

BACKGROUND

Ethnic minority populations in Western societies suffer from a disproportionate burden of type 2 diabetes (T2D). Insight into the role of dietary patterns in T2D may assist public health nutrition efforts in addressing these health disparities.

OBJECTIVE

We explored the association between dietary patterns and biomarkers of T2D in 5 ethnic groups living in Amsterdam, Netherlands.

METHODS

A total of 3776 men and women aged 18-70 y of Dutch, South Asian Surinamese, African-Surinamese, Turkish, and Moroccan origin from the HELIUS (HEalthy LIfe in an Urban Setting) study were included. Diet was assessed by using a food-frequency questionnaire, and dietary patterns were derived separately per ethnic group. First, food group-based dietary patterns were derived by using principal components analysis and the association with glycated hemoglobin (HbA1c) and plasma fasting glucose was assessed by using multivariable linear regression. Second, biomarker-driven dietary patterns based on HbA1c and fasting glucose concentrations were derived by applying reduced rank regression.

RESULTS

Two comparable food group-based dietary patterns were identified in each ethnic group: a "meat and snack" pattern and a "vegetable" pattern. The meat-and-snack pattern derived within the Dutch origin population was significantly associated with HbA1c (β = 0.09; 95% CI: 0.00, 0.19) and fasting glucose (β = 0.18; 95% CI: 0.09, 0.26) concentrations. A biomarker-derived pattern characterized by red and processed meat was observed among Dutch-origin participants; however, among ethnic minority groups, this pattern was characterized by other foods including ethnicity-specific foods (e.g., roti, couscous).

CONCLUSIONS

Although similar food group dietary patterns were derived within 5 ethnic groups, the association of the meat-and-snack pattern with fasting glucose concentrations differed by ethnicity. Taken together with the finding of ethnic differences in biomarker-driven dietary patterns, our results imply that addressing T2D risk in multiethnic populations requires ethnicity-specific approaches.

Socio-economic status and ethnicity are independently associated with dietary patterns: the HELIUS-Dietary Patterns study

Background

Differences in dietary patterns between ethnic groups have often been observed. These differences may partially be a reflection of differences in socio-economic status (SES) or may be the result of differences in the direction and strength of the association between SES and diet.

Objective

We aimed to examine ethnic differences in dietary patterns and the role of socio-economic indicators on dietary patterns within a multi-ethnic population.

Design

Cross-sectional multi-ethnic population-based study.

Setting

Amsterdam, the Netherlands.

Subjects

Principal component analysis was used to identify dietary patterns among Dutch (n=1,254), South Asian Surinamese (n=425), and African Surinamese (n=784) participants. Levels of education and occupation were used to indicate SES. Linear regression analysis was used to examine the association between ethnicity and dietary pattern scores first and then between socio-economic indicators and dietary patterns within and between ethnic groups.

Results

‘Noodle/rice dishes and white meat’, ‘red meat, snacks, and sweets’ and ‘vegetables, fruit and nuts’ patterns were identified. Compared to the Dutch origin participants, Surinamese more closely adhered to the ‘noodle/rice dishes and white meat’ pattern which was characterized by foods consumed in a ‘traditional Surinamese diet’. Closer adherence to the other two patterns was observed among Dutch compared to Surinamese origin participants. Ethnic differences in dietary patterns persisted within strata of education and occupation. Surinamese showed greater adherence to a ‘traditional’ pattern independent of SES. Among Dutch participants, a clear socio-economic gradient in all dietary patterns was observed. Such a gradient was only present among Surinamese dietary oatterns to the ‘vegetables, fruit and nuts’ pattern.

Conclusions

We found a selective change in the adherence to dietary patterns among Surinamese origin participants, presumably a move towards more vegetables and fruits with higher SES but continued fidelity to the traditional diet.

Dietary patterns within a population are more reproducible than those of individuals

Insight into the stability of dietary behavior over time is important, because only a single measurement of diet is often available to study the association between eating behavior and the occurrence of chronic diseases many years after baseline data collection. Little is known about changes in dietary patterns over time. The current study examined the (internal) stability and reproducibility of dietary patterns and the transition of individuals between patterns over time from 3 surveys within one study population by using cluster analysis. The dietary intake of participants in the Doetinchem Cohort Study in 6113, 4916, and 4520 adults in 1993-1997, 1998-2002, and 2003-2007, respectively, was measured using a validated food-frequency questionnaire. Stability and reproducibility of dietary patterns were studied by examining the optimal number of clusters per survey by comparing the contribution of food groups to total energy intake within the clusters over time and by studying transitions of individuals between clusters over time. A low-fiber bread pattern and a high-fiber bread pattern were identified in all 3 surveys. Over time, dietary patterns were comparable in terms of foods contributing most to total energy intake, suggesting good reproducibility. Nevertheless, only 41.8% of the participants were consistently assigned to the same dietary pattern for all 3 surveys. This implies that, over time, similar dietary patterns were found at the group level, but that ignoring individual transitions between dietary patterns during follow-up may lead to misclassification of a large proportion of the study population.

Sex differences in the association between serum ferritin and fasting glucose in type 2 diabetes among South Asian Surinamese, African Surinamese, and ethnic Dutch: the population-based SUNSET study

OBJECTIVE

Moderately elevated iron stores below the levels commonly associated with hemochromatosis have been implicated in the etiology of diabetes. Studies suggest that iron status (measured by serum ferritin) differs significantly according to sex, but inconsistent findings have been reported. Our aim is to test the association between serum ferritin and the prevalence of type 2 diabetes and fasting glucose concentrations in a population-based, multiethnic, cross-sectional study including men and women of African Surinamese, South Asian Surinamese, and ethnic Dutch origin.

RESEARCH DESIGN AND METHODS

We analyzed data on 508 ethnic Dutch, 597 African Surinamese, and 339 South Asian Surinamese aged 35-60 years. Type 2 diabetes was defined as a fasting plasma glucose level ≥7.0 mmol/L or a self-reported diagnosis.

RESULTS

Serum ferritin was positively associated with type 2 diabetes and fasting glucose, but differences in the associations according to sex were observed. Serum ferritin concentration was positively associated with type 2 diabetes among women in all ethnic groups (odds ratio [OR] ethnic Dutch: 1.07 [95% CI 1.01-1.13]; OR South Asian Surinamese: 1.05 [1.00-1.10]; OR African Surinamese: 1.05 [1.01-1.10]), but not among men. Serum ferritin was also more strongly associated with fasting glucose in women than in men. Moreover, the magnitude of sex differences in the association between serum ferritin and fasting glucose, but not type 2 diabetes, was more pronounced in the African Surinamese group than in the other ethnic groups (P for interaction ≤0.0001).

CONCLUSIONS

We found a positive association between serum ferritin and type 2 diabetes and fasting glucose in our multiethnic population, which appeared stronger among women than men. Further evaluation of the variation in sex differences between ethnic groups is warranted, particularly among the African Surinamese, to understand the mechanisms behind these sex differences.

Micronutrients and sickle cell disease, effects on growth, infection and vaso-occlusive crisis: a systematic review

Patients with Sickle cell disease (SCD) exhibit signs of poor growth, increased susceptibility to infection and recurrent episodes of painful vaso-occlusive crises. Micronutrient deficiencies may increase susceptibility to these outcomes. We conducted a systematic review to assess the strength of evidence for improved outcomes related to micronutrient interventions. Six randomized-controlled trials of moderate quality met the inclusion criteria. Zinc supplementation was associated with improved growth and decreased incidence of infection and is a promising intervention in the management of SCD patients. Omega-3 fatty acid supplementation was associated with limited reduction in vaso occlusive crises. This review identifies key knowledge gaps, which are important research priorities for nutritional interventions.

A prospective cohort study of dietary patterns of non-western migrants in the Netherlands in relation to risk factors for cardiovascular diseases: HELIUS-Dietary Patterns

Background

In Western countries the prevalence of cardiovascular disease (CVD) is often higher in non-Western migrants as compared to the host population. Diet is an important modifiable determinant of CVD. Increasingly, dietary patterns rather than single nutrients are the focus of research in an attempt to account for the complexity of nutrient interactions in foods. Research on dietary patterns in non-Western migrants is limited and may be hampered by a lack of validated instruments that can be used to assess the habitual diet of non-western migrants in large scale epidemiological studies. The ultimate aims of this study are to (1) understand whether differences in dietary patterns explain differences in CVD risk between ethnic groups, by developing and validating ethnic-specific Food Frequency Questionnaires (FFQs), and (2) to investigate the determinants of these dietary patterns. This paper outlines the design and methods used in the HELIUS-Dietary Patterns study and describes a systematic approach to overcome difficulties in the assessment and analysis of dietary intake data in ethnically diverse populations.

Methods/Design

The HELIUS-Dietary Patterns study is embedded in the HELIUS study, a Dutch multi-ethnic cohort study. After developing ethnic-specific FFQs, we will gather data on the habitual intake of 5000 participants (18-70 years old) of ethnic Dutch, Surinamese of African and of South Asian origin, Turkish or Moroccan origin. Dietary patterns will be derived using factor analysis, but we will also evaluate diet quality using hypothesis-driven approaches. The relation between dietary patterns and CVD risk factors will be analysed using multiple linear regression analysis. Potential underlying determinants of dietary patterns like migration history, acculturation, socio-economic factors and lifestyle, will be considered.

Discussion

This study will allow us to investigate the contribution of the dietary patterns on CVD risk factors in a multi-ethnic population. Inclusion of five ethnic groups residing in one setting makes this study highly innovative as confounding by local environment characteristics is limited. Heterogeneity in the study population will provide variance in dietary patterns which is a great advantage when studying the link between diet and disease.

Stunting associated with poor socioeconomic and maternal nutrition status and respiratory morbidity in Colombian schoolchildren

BACKGROUND

There are few recent reports on the prevalence and risk factors of stunting and thinness among schoolchildren in Latin America.

OBJECTIVE

To determine the prevalence and sociodemographic correlates of stunting and thinness among school-age children in Bogotá, Colombia, and to examine whether these nutritional indices are associated with the risk of respiratory and diarrheal morbidity symptoms, visits to the doctor, and school absenteeism during the school year in a prospective study.

METHODS

We obtained information on anthropometric and maternal sociodemographic characteristics of 3100 children 5 to 12 years of age who attended public primary schools in 2006 and who came from low- and middle-income households. Data on the incidence of common gastrointestinal and respiratory symptoms were collected prospectively on morbidity diaries throughout the year.

RESULTS

The prevalence rates of stunting and thinness were 9.9% and 8.7%, respectively. There were inverse, statistically significant trends in the prevalence of stunting by categories of child's birth and current weight; maternal education level, height, and body mass index (BMI); and household socioeconomic stratum. A strong positive association was found with maternal parity (p for trend < .0001). Thinness was positively associated with the child's and the mother's age and inversely associated with birthweight and maternal BMI. Stunting was associated with a 44% increase in the incidence of cough with fever during the school year (p = .04).

CONCLUSIONS

Child stunting in Bogotá is associated with poor socioeconomic and maternal nutritional status and predicts symptoms of respiratory infection.

Zinc supplementation in children is not associated with decreases in hemoglobin concentrations

Zinc supplementation has proven beneficial in the treatment of acute child diarrhea and appears to enhance linear growth. There is a theoretical risk of anemia in zinc-supplemented children due to inhibited iron transport via decreased copper absorption. Although many zinc supplementation trials have included hematological measures, the potential effect of zinc on these outcomes has not been quantitatively evaluated in a comprehensive review. We performed a systematic review of randomized trials that examined the effect of zinc supplementation on hemoglobin concentrations in apparently healthy children ages 0-15 y and conducted a random effects meta-analysis of weighted mean differences (WMD) of change in hemoglobin concentrations before and after supplementation. Twenty-one randomized, controlled trials representing 3869 participants were included in the meta-analysis. The duration of treatment ranged from 4 to 15 mo; doses were typically 10-20 mg/d. Zinc supplementation did not affect changes in hemoglobin concentrations (pooled WMD: 0.8 g/L; 95% CI: -0.6, 2.2; P = 0.27). There was no evidence for effect modification by age, zinc dosage, duration of treatment, type of control, baseline hemoglobin status, geographical or healthcare setting, or quality of the studies. These results suggest that zinc supplementation at doses typically used in randomized trials is a safe intervention with regards to hemoglobin concentrations. Some benefits might exist among children with severe anemia or zinc deficiency, which warrant further evaluation.