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Unhealthy population diets contribute to the burden of non-communicable diseases. Policies targeting food environments (FE policies) may improve population diets. This review of systematic reviews aims to summarise recent evidence of the effectiveness of FE policies in improving diets. We searched PubMed for systematic reviews published from January 2010 onwards. Eligible FE policies included: nutrition and food labelling, provision of foods in public institutions or specific settings, price, marketing, nutrition quality and portion size, and availability of foods in retail and food service establishments. A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR 2) instrument was used to assess review quality. Reviews of critically low quality were excluded. Results were narratively reported in text and tables. The search identified 1102 records after removing duplicates. Following screening and quality assessment we included 12 systematic reviews. Two reviews focused on nutrition and food labelling, two on provision of foods in school settings, four on price, none on marketing policies, three on nutrition quality and portion size and one on the availability of foods in retail and food service establishments. Pricing policies (tax/subsidy) appear effective in altering intake and purchase of targeted foods and beverages. FE policies targeting the availability of foods in retail and food establishments, food provision in school settings, product reformulation and the size of portions/packages or items of tableware also appear effective. Overall, policies targeting food environments appear effective in improving population diets. However, there is a need for further high-quality evidence.

OBJECTIVE: IGF-I has an almost 50% amino acid sequence homology with insulin and elicits nearly the same hypoglycemic response. Studies showed that low and high IGF-I levels are related to impaired glucose tolerance and to a higher risk of type 2 diabetes. The aim of the current study was to evaluate the association between IGF-I level and insulin resistance in a Danish general population. RESEARCH DESIGN AND METHODS: Included were 3,354 adults, aged 19–72 years, from the cross-sectional Health2006 study. The homeostasis model assessment of insulin resistance (HOMA-IR) was used as the index to estimate insulin resistance. Serum IGF-I levels were determined by an immunoassay and grouped into quintiles (Q1–Q5). Linear or multinomial logistic regression analyses were performed. RESULTS: In the study population, 520 subjects (15.5%) had increased HOMA-IR values above 2.5. After adjustment for age, sex, physical activity, and waist-to-height ratio, a U-shaped association between IGF-I and HOMA-IR was found. Low IGF-I (Q1: odds ratio [OR] 1.65 [95% CI 1.16–2.34], P < 0.01) as well as high IGF-I (Q5: 1.96 [1.38–2.79], P < 0.01) levels were related to a higher odds of increased HOMA-IR values compared with subjects with intermediate (Q3) IGF-I levels. These associations remained statistically significant after the exclusion of subjects with type 2 diabetes and by using the updated computer HOMA2-IR model. CONCLUSIONS: Low- and high-normal IGF-I levels are both related to insulin resistance. The biological mechanism of this complex phenomenon has to be elucidated in more detail for future risk stratification.

Exploring boundaries and meanings of public value, the authors seek to identify some of the impediments to progress in the study of public values. The study of public values is often hamstrung by more general problems in the study of values. The authors begin by identifying analytical problems in the study of values and public values. Then they take stock of the public values universe. To identify public value concepts, relevant literature is reviewed and interpreted. Finally, the analytical questions posed in the first section are addressed, focusing specifically on issues related to the hierarchy, causality, and proximity of public values.

Bruun Lassen has performed a CACE analysis, which compares mortality among actual participants of the intervention group with a hypothesized group of participants in the control group in the Inter99 study [1]. Bruun Lassen has however missed an important information in our method section: in the Inter99 study, there was an oversampling of middle-aged persons in the intervention group and the proportion of older persons aged 55 or 60 years was considerably higher in the control group (31%) compared to participants in the intervention group (24%); thus, it was expected that there would be more deaths in the control group. [...]the CACE analyses performed by the Bruun Lassen et al. are not meaningful. Randomized controlled trials using modified ITT analyses are increasingly being published, but we strongly believe that the ITT principle without modifications, without any “What if…?,” should continue to be the gold standard of evidence in all RCTs.

Aims: Little is known about the prevalence and characteristics of functional somatic syndromes (FSS) such as irritable bowel syndrome (IBS), fibromyalgia (FM), chronic fatigue syndrome (CFS), whiplash associated disorders (WAD), multiple chemical sensitivity (MCS), and bodily distress syndrome (BDS) in the general population when they are investigated simultaneously. Method: This cross-sectional study is based on the Danish Study of Functional Disorders (DanFunD) cohort consisting of 9656 adults from the general population. FSS and BDS were identified by questionnaires and characterized by age, sex, vocational training, physical health and comorbidity with physical and psychiatric disease. Results: In total, 16.3% (95% CI: 15.6–17.1) of the participants fulfilled the criteria for at least one FSS, ranging from 1.7% for WAD to 8.6% for CFS, and 16.1% (95% CI: 15.4–16.9) fulfilled the criteria for BDS. Cases had a high risk of poor self-perceived health, limitations in daily activities, and a high psychiatric comorbidity, all increasing with the number of syndromes in each individual. However, the associations differed across the various FSS. Mutual overlaps of IBS, FM and CFS were greater than could be expected by chance. Conclusions: FSS and BDS are prevalent in the adult Danish population, and cases have high risk of poor self-perceived health, limitation in daily activities, and psychiatric comorbidity. These associations were particularly strong for cases with multiple FSS and multi-organ BDS.

We sought to examine whether neighborhood deprivation is associated with participation in a large population-based health check. Such analyses will help answer the question whether health checks, which are designed to meet the needs of residents in deprived neighborhoods, may increase participation and prove to be more effective in preventing disease. In Europe, no study has previously looked at the association between neighborhood deprivation and participation in a population-based health check. The study population comprised 12,768 persons invited for a health check including screening for ischemic heart disease and lifestyle counseling. The study population was randomly drawn from a population of 179,097 persons living in 73 neighborhoods in Denmark. Data on neighborhood deprivation (percentage with basic education, with low income and not in work) and individual socioeconomic position were retrieved from national administrative registers. Multilevel regression analyses with log links and binary distributions were conducted to obtain relative risks, intraclass correlation coefficients and proportional change in variance. Large differences between neighborhoods existed in both deprivation levels and neighborhood health check participation rate (mean 53%; range 35-84%). In multilevel analyses adjusted for age and sex, higher levels of all three indicators of neighborhood deprivation and a deprivation score were associated with lower participation in a dose-response fashion. Persons living in the most deprived neighborhoods had up to 37% decreased probability of participating compared to those living in the least deprived neighborhoods. Inclusion of individual socioeconomic position in the model attenuated the neighborhood deprivation coefficients, but all except for income deprivation remained statistically significant. Neighborhood deprivation was associated with participation in a population-based health check in a dose-response manner, in which increasing neighborhood deprivation was associated with decreasing participation. This suggests the need to develop preventive health checks tailored to deprived neighborhoods.

Aim: Heart failure is a serious complication of acute myocardial infarction leading to poor prognosis. We aimed at exploring time trends of heart failure and their impact on mortality among patients with an incident acute myocardial infarction. Methods: From the National Patient Danish Registry we collected data on all patients hospitalized with an incident of acute myocardial infarction during 2000–2009 and identified cases with in-hospital heart failure (presented on admission or developing heart failure during acute myocardial infarction hospitalization) or post-discharge heart failure (a hospitalization or outpatient visit following acute myocardial infarction discharge), and assessed in-hospital, 30-day and 1-year mortality. Results: Of the 78,814 patients included in the study, 10,248 (13.0%) developed in-hospital heart failure. The odds of in-hospital heart failure declined 0.9% per year (odds ratio=0.991, 95% confidence interval: 0.983–0.999). In-hospital heart failure was associated with 13% (odds ratio=1.13, 95% confidence interval: 1.06–1.20) and 14% (odds ratio=1.14, 95% confidence interval: 1.07–1.20) higher in-hospital and 30-day mortality, respectively. Of the 61,637 patients discharged alive without in-hospital heart failure, 5978 (9.7%) experienced post-discharge heart failure, 4116 (6.7%) were hospitalized and 1862 (3.0%) were diagnosed at outpatient clinics. The risk of heart failure requiring hospitalization declined 5.5% per year (hazard ratio=0.945, 95% confidence interval: 0.934–0.955) whereas the risk of heart failure diagnosed at outpatient clinics increased 13.4% per year (hazard ratio=1.134, 95% confidence interval: 1.115–1.153). Post-discharge heart failure was associated with 239% (hazard ratio=3.39, 95% confidence interval: 3.18–3.63) higher 1-year mortality. Conclusions: In-hospital and post-discharge heart failure requiring hospitalization decreased whereas post-discharge heart failure diagnosed at outpatient clinics increased among incident acute myocardial infarction patients during 2000–2009. The development of heart failure, especially after acute myocardial infarction discharge, indicates a poor prognosis.

Prevalence of functional somatic syndromes (FSS) in the general population varies with observed overlap between syndromes. However, studies including a range of FSS are sparse. We investigated prevalence and characteristics of various FSS and the unifying diagnostic construct bodily distress syndrome (BDS), and identified mutual overlap of the FSS and their overlap with BDS. We included a stratified subsample of 1590 adults from a randomly selected Danish general population sample (n = 7493). Telephonic diagnostic interviews performed by three trained physicians were used to identify individuals with FSS and BDS. Prevalence of overall FSS was 9.3%; 3.8% for irritable bowel, 2.2% for chronic widespread pain, 6.1% for chronic fatigue, 1.5% for whiplash associated disorders, and 0.9% for multiple chemical sensitivity. Prevalence of BDS was 10.7% where 2.0% had the multi-organ type. FSS were highly overlapping with low likelihood of having a “pure” type. Diagnostic agreement of FSS and BDS was 92.0%. Multi-syndromatic FSS and multi-organ BDS were associated with female sex, poor health, physical limitations, and comorbidity. FSS are highly prevalent and overlapping, and multi-syndromatic cases are most affected. BDS captured the majority of FSS and may improve clinical management, making the distinction between multi- and mono-syndromatic patients easier.

Background Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing, a cost effective approach is to use medium or low-coverage data (e.g., < 15 X ). However, SNP calling and allele frequency estimation in such studies is associated with substantial statistical uncertainty because of varying coverage and high error rates. Results We evaluate a new maximum likelihood method for estimating allele frequencies in low and medium coverage next-generation sequencing data. The method is based on integrating over uncertainty in the data for each individual rather than first calling genotypes. This method can be applied to directly test for associations in case/control studies. We use simulations to compare the likelihood method to methods based on genotype calling, and show that the likelihood method outperforms the genotype calling methods in terms of: (1) accuracy of allele frequency estimation, (2) accuracy of the estimation of the distribution of allele frequencies across neutrally evolving sites, and (3) statistical power in association mapping studies. Using real re-sequencing data from 200 individuals obtained from an exon-capture experiment, we show that the patterns observed in the simulations are also found in real data. Conclusions Overall, our results suggest that association mapping and estimation of allele frequencies should not be based on genotype calling in low to medium coverage data. Furthermore, if genotype calling methods are used, it is usually better not to filter genotypes based on the call confidence score.