The association between the food environment and adherence to healthy diet quality: the Maastricht Study.

OBJECTIVE: The purpose of this study is to determine if healthier neighbourhood food environments are associated with healthier diet quality. DESIGN: This was a cross-sectional study using linear regression models to analyse data from the Maastricht Study. Diet quality was assessed using data collected with a FFQ to calculate the Dutch Healthy Diet (DHD). A buffer zone encompassing a 1000 m radius was created around each participant home address. The Food Environment Healthiness Index (FEHI) was calculated using a Kernel density analysis within the buffers of available food outlets. The association between the FEHI and the DHD score was analysed and adjusted for socio-economic variables. SETTING: The region of Maastricht including the surrounding food retailers in the Netherlands. PARTICIPANTS: 7367 subjects aged 40-75 years in the south of the Netherlands. RESULTS: No relationship was identified between either the FEHI (B = 0·62; 95 % CI = -2·54, 3·78) or individual food outlets, such as fast food (B = -0·07; 95 % CI = -0·20, 0·07) and diet quality. Similar null findings using the FEHI were identified at the 500 m (B = 0·95; 95 % CI = -0·85, 2·75) and 1500 m (B = 1·57; 95 % CI = -3·30, 6·44) buffer. There was also no association between the food environment and individual items of the DHD including fruits, vegetables and sugar-sweetened beverages. CONCLUSION: The food environment in the Maastricht area appeared marginally unhealthy, but the differences in the food environment were not related to the quality of food that participants reported as intake.

Lower heart rate variability, an index of worse autonomic function, is associated with worse beta cell response to a glycemic load in vivo-The Maastricht Study.

OBJECTIVE: We investigated, using population-based data, whether worse autonomic function, estimated from lower 24-hour heart rate variability (HRV), was associated with beta cell function, assessed from beta cell response during an oral glucose tolerance test (OGTT). RESEARCH DESIGN AND METHODS: We used cross-sectional data from The Maastricht Study, a population-based cohort study (N = 2,007; age, mean ± SD:60 ± 8 years; 52% men; and 24% with type 2 diabetes). We used linear regression analyses with adjustment for potential confounders (demographic, cardiovascular, and lifestyle factors) to study the associations of time- and frequency-domain HRV (composite scores) with overall beta cell response (estimated from a composite score calculated from: C-peptidogenic index, overall insulin secretion, beta cell glucose sensitivity, beta cell potentiation factor, and beta cell rate sensitivity). In addition, we tested for interaction by sex and glucose metabolism status. RESULTS: After full adjustment, lower time- and frequency-domain HRV was significantly associated with lower overall beta cell response composite score (standardized beta, -0.055 [-0.098; -0.011] and - 0.051 [-0.095; -0.007], respectively). These associations were not modified by sex and there was no consistent pattern of interaction by glucose metabolism status. CONCLUSION: The present etiological study found that worse autonomic function, estimated from lower HRV, was associated with worse beta cell function, estimated from a composite score in a population-based sample which covered the entire spectrum of glucose metabolism. Hence, autonomic dysfunction may contribute to beta cell dysfunction and, ultimately, to the alteration of glucose metabolism status from normal glucose metabolism to prediabetes and type 2 diabetes.

Selection bias in follow-up studies of stem cell transplantation survivors: an experience within the Maastricht Observational study of late effects after Stem cell trAnsplantation (MOSA).

Hematopoietic stem cell transplantation is an important treatment for many malignant hematological and non-hematological diseases. Survivors of hematopoietic stem cell transplantation (HCT) are at risk of long-term health problems and reduced quality of life related to previous treatments. Many studies about these long-term effects have been conducted over the last decades. However, selection bias is a concern in long-term follow-up studies and little is known about the non-participating group. As part of the Maastricht Observational study of late effects after Stem cell trAnsplantation (MOSA), investigating long-term health effects by extensively phenotyping HCT survivors, we conducted a survey to characterise the non-participating group. This survey mostly focused on quality of life and physical complaints. The survey responders were generally older than the MOSA group, had more history of relapsed disease, and described their general health as bad or mediocre significantly more often than the MOSA group. Also, more deaths occurred in the group of non-participants between the start of study inclusion in 2015 and analysis of the survey results in 2021. This study suggests that a selection of higher functioning HCT survivors with a relatively better quality of life participated in this long-term follow-up study of stem cell transplantation survivors. These results could also impact the results of other long-term follow-up studies in cancer survivors, knowing that possibly an unhealthier population is missed in these studies and some long-term negative effects of treatments might be underestimated.Trial registration number: NL-48599.

Homocysteine levels associate with subtle changes in leukocyte DNA methylation: an epigenome-wide analysis.

AIM: Homocysteine (Hcy) is a sensitive marker of one-carbon metabolism. Higher Hcy levels have been associated with global DNA hypomethylation. We investigated the association between plasma Hcy and epigenome-wide DNA methylation in leukocytes. METHODS: Methylation was measured using Illumina 450 k arrays in 2035 individuals from six cohorts. Hcy-associated differentially methylated positions and regions were identified using meta-analysis. RESULTS: Three differentially methylated positions cg21607669 (SLC27A1), cg26382848 (AJUBA) and cg10701000 (KCNMA1) at chromosome 19, 14 and 10, respectively, were significantly associated with Hcy. In addition, we identified 68 Hcy-associated differentially methylated regions, the most significant of which was a 1.8-kb spanning domain (TNXB/ATF6B) at chromosome 6. CONCLUSION: We identified novel epigenetic loci associated with Hcy levels, of which specific role needs to be further validated.