ObjectiveA potential psychological harm of screening is unexpected diagnosis—labelling. We need to know the frequency and severity of this harm to make informed decisions about screening. We asked ...whether current evidence allows an estimate of any psychological harm of labelling. As case studies, we used two conditions for which screening is common: prostate cancer (PCa) and abdominal aortic aneurysm (AAA).DesignSystematic review with narrative synthesis.Data sources and eligibility criteriaWe searched the English language literature in PubMed, PsychINFO and Cumulative Index of Nursing and Allied Health Literature (CINAHL) for research of any design published between 1 January 2002 and 23 January 2017 that provided valid data about the psychological state of people recently diagnosed with early stage PCa or AAA. Two authors independently used explicit criteria to review and critically appraise all studies for bias, applicability and the extent to which it provided evidence about the frequency and severity of harm from labelling.Results35 quantitative studies (30 of PCa and 5 of AAA) met our criteria, 17 (48.6%) of which showed possible or definite psychological harm from labelling. None of these studies, however, had either appropriate measures or relevant comparisons to estimate the frequency and severity of psychological harm. Four PCa and three AAA qualitative studies all showed clear evidence of at least moderate psychological harm from labelling. Seven population-based studies found increased suicide in patients recently diagnosed with PCa.ConclusionsAlthough qualitative and population-based studies show that at least moderate psychological harm due to screening for PCa and AAA does occur, the current quantitative evidence is insufficient to allow a more precise estimation of frequency and severity. More sensitive measures and improved research designs are needed to fully characterise this harm. In the meantime, clinicians and recommendation panels should be aware of the occurrence of this harm.
Eating disorders - anorexia nervosa, bulimia nervosa, and binge eating disorder - affect numerous Europeans. This narrative review summarizes European studies on their prevalence, incidence, ...comorbidity, course, consequences, and risk factors published in 2015 and the first half of 2016.
Anorexia nervosa is reported by <1-4%, bulimia nervosa <1-2%, binge eating disorder <1-4%, and subthreshold eating disorders by 2-3% of women in Europe. Of men, 0.3-0.7% report eating disorders. Incidences of anorexia appear stable, whereas bulimia may be declining. Although the numbers of individuals receiving treatment have increased, only about one-third is detected by healthcare. Over 70% of individuals with eating disorders report comorbid disorders: anxiety disorders (>50%), mood disorders (>40%), self-harm (>20%), and substance use (>10%) are common. The long-term course of anorexia nervosa is favorable for most, but a substantial minority of eating disorder patients experience longstanding symptoms and somatic problems. The risk of suicide is elevated. Parental psychiatric disorders, prenatal maternal stress, various family factors, childhood overweight, and body dissatisfaction in adolescence increase the risk of eating disorders.
Eating disorders are relatively common disorders that are often overlooked, although they are associated with high comorbidity and serious health consequences.
Background: Weighted hula-hoops have gained popularity, but whether they indeed reshape the trunk or have beneficial metabolic effects in overweight subjects is unknown. Objectives: To determine ...effects of hula-hooping and walking matched for energy expenditure on android fat %, trunk muscle mass, and metabolic parameters in a randomized cross-over study. Design: We recruited 55 overweight nondiabetic subjects, who were randomized to hula-hooping (HULA) for 6 weeks using a 1.5-kg weighted hula-hoop followed by walking (WALK) for another 6 weeks or vice versa. The increments in energy expenditure were similar by HULA and WALK. Body composition (dual-energy X-ray absorptiometry) and metabolic parameters were measured at baseline and after HULA and WALK. The primary endpoint was the change in fat % in the android region. Results: A total of 53subjects (waist 92 ± 1 cm, body mass index 28 ± 1 kg/m 2 ) completed the study. Body weight changed similarly (–0.6 ± 0.2 vs. –0.5 ± 0.2 kg, nonsignificant; HULA vs. WALK). During the intervention the subjects hula-hooped on average 12.8 ± 0.5 min/day and walked 9,986 ± 376 steps/day. The % fat in the android region decreased significantly by HULA but not by WALK (between-group change p < 0.001). Trunk muscle mass increased more by HULA than by WALK (p < 0.05). Waist circumference decreased more by HULA than by WALK (–3.1 ± 0.3 cm vs. –0.7 ± 0.4 cm, p < 0.001; HULA vs. WALK). WALK but not HULA significantly lowered systolic blood pressure and increased HDL cholesterol while HULA significantly decreased LDL cholesterol. Conclusions: Hula-hooping with a weighted hula-hoop can be used to decrease abdominal fat % and increase trunk muscle mass in overweight subjects. Its LDL lowering effect resembles that described for resistance training.
Defects in expression of genes of oxidative phosphorylation in mitochondria have been suggested to be a key pathophysiological feature in familial insulin resistance. We examined whether such defects ...can arise from lifestyle-related factors alone. Fourteen obesity-discordant (BMI difference 5.2 +/- 1.8 kg/m(2)) and 10 concordant (1.0 +/- 0.7 kg/m(2)) monozygotic (MZ) twin pairs aged 24-27 yr were identified among 658 MZ pairs in the population-based FinnTwin16 study. Whole body insulin sensitivity was measured using the euglycemic hyperinsulinemic clamp technique. Transcript profiles of mitochondrial genes were compared using microarray data of fat biopsies from discordant twins. Body composition of twins was determined using DEXA and maximal oxygen uptake (Vo(2max)) and working capacity (W(max)) using a bicycle ergometer exercise test with gas exchange analysis. The obese cotwins had lower insulin sensitivity than their nonobese counterparts (M value 6.1 +/- 2.0 vs. 9.2 +/- 3.2 mg x kg LBM(-1) x min(-1), P < 0.01). Transcript levels of genes involved in the oxidative phosphorylation pathway (GO:0006119) in adipose tissue were lower (P < 0.05) in the obese compared with the nonobese cotwins. The obese cotwins were also less fit, as measured by Vo(2max) (50.6 +/- 6.5 vs. 54.2 +/- 6.4 ml x kg LBM(-1) x min(-1), for obese vs. nonobese, P < 0.05), W(max) (3.9 +/- 0.5 vs. 4.4 +/- 0.7 W/kg LBM, P < 0.01) and also less active, by the Baecke leisure time physical activity index (2.8 +/- 0.5 vs. 3.3 +/- 0.6, P < 0.01). This implies that acquired poor physical fitness is associated with defective expression of the oxidative pathway components in adipose tissue mitochondria.
Aims/hypothesis
Metabolomics technologies have identified numerous blood biomarkers for type 2 diabetes risk in case−control studies of middle-aged and older individuals. We aimed to validate ...existing and identify novel metabolic biomarkers predictive of future diabetes in large cohorts of young adults.
Methods
NMR metabolomics was used to quantify 229 circulating metabolic measures in 11,896 individuals from four Finnish observational cohorts (baseline age 24–45 years). Associations between baseline metabolites and risk of developing diabetes during 8–15 years of follow-up (392 incident cases) were adjusted for sex, age, BMI and fasting glucose. Prospective metabolite associations were also tested with fasting glucose, 2 h glucose and HOMA-IR at follow-up.
Results
Out of 229 metabolic measures, 113 were associated with incident type 2 diabetes in meta-analysis of the four cohorts (ORs per 1 SD: 0.59–1.50;
p
< 0.0009). Among the strongest biomarkers of diabetes risk were branched-chain and aromatic amino acids (OR 1.31–1.33) and triacylglycerol within VLDL particles (OR 1.33–1.50), as well as linoleic
n
-6 fatty acid (OR 0.75) and non-esterified cholesterol in large HDL particles (OR 0.59). The metabolic biomarkers were more strongly associated with deterioration in post-load glucose and insulin resistance than with future fasting hyperglycaemia. A multi-metabolite score comprised of phenylalanine, non-esterified cholesterol in large HDL and the ratio of cholesteryl ester to total lipid in large VLDL was associated with future diabetes risk (OR 10.1 comparing individuals in upper vs lower fifth of the multi-metabolite score) in one of the cohorts (mean age 31 years).
Conclusions/interpretation
Metabolic biomarkers across multiple molecular pathways are already predictive of the long-term risk of diabetes in young adults. Comprehensive metabolic profiling may help to target preventive interventions for young asymptomatic individuals at increased risk.
Binge eating disorder (BED) is associated with high levels of obesity and psychological suffering, but little is known about 1) the distribution of features of BED in the general population and 2) ...their consequences for weight development and psychological distress in young adulthood. We investigated the prevalence of features of BED and their association with body mass index (BMI) and psychological distress among men (n = 2423) and women (n = 2825) from the longitudinal community-based FinnTwin16 cohort (born 1975–1979). Seven eating-related cognitions and behaviors similar to the defining features of BED were extracted from the Eating Disorder Inventory-2 and were assessed at a mean age of 24. BMI and psychological distress, measured with the General Health Questionnaire, were assessed at ages 24 and 34. We assessed prevalence of the features and their association with BMI and psychological distress cross-sectionally and prospectively. More than half of our participants reported at least one feature of BED; clustering of several features in one individual was less common, particularly among men. The most frequently reported feature was ‘stuffing oneself with food’, whereas the least common was ‘eating or drinking in secrecy’. All individual features of BED and their clustering particularly were associated with higher BMI and more psychological distress cross-sectionally. Prospectively, the clustering of features of BED predicted increase in psychological distress but not additional weight gain when baseline BMI was accounted for. In summary, although some features of BED were common, the clustering of several features in one individual was not. The features were cumulatively associated with BMI and psychological distress and predicted further increase in psychological distress over ten years of follow-up.
Binge eating disorder (BED) is a clinical eating disorder that is strongly and bidirectionally related to overweight and obesity. Little is known about how subclinical features of BED relate to ...weight development in adolescence and young adulthood.
Women (n = 2825) and men (n = 2423) from the community-based longitudinal FinnTwin16 cohort participated. Seven eating-related cognitions and behaviors similar to the defining features of BED were extracted from the Eating Disorder Inventory-2 and were assessed at a mean age of 24. We used linear mixed models to assess the association of features of BED with BMI trajectories across four waves of data collection (mean ages 16, 17, 18, and 24).
The number of features of BED at wave 4 (age 24) was significantly associated with BMI from age 16 years onwards. Those reporting more features of BED had gained more weight throughout adolescence and into their twenties.
Features of BED in young adulthood were preceded by steeper BMI trajectories in adolescence. A higher number of features were consistently associated with higher BMI and more weight gain.
•We studied in a community sample how features of binge eating disorder (BED) relate to weight development in adolescence and early adulthood.•Features of BED in early adulthood were preceded by steeper weight trajectories in adolescence.•The more BED features the individuals reported as young adults, the steeper were their adolescent BMI trajectories.
Objective
We aimed to assess the lifetime prevalence, 10‐year incidence, and peak periods of onset for eating disorders as defined by the Fifth Diagnostic and Statistical Manual of Mental Disorders ...(DSM‐5) among adolescents and young adults born in the 1980s in Finland.
Method
Virtually all Finnish twins born in 1983–1987 (n = 5,600) were followed prospectively from the age of 12 years. A subsample of participants (n = 1,347) was interviewed using a semi‐structured diagnostic interview in their early twenties.
Results
The prevalence of lifetime DSM‐5 eating disorders was 17.9% for females and 2.4% for males (pooled across genders, 10.5%). The estimated lifetime prevalences for females and males, respectively, were 6.2 and 0.3% for anorexia nervosa (AN), 2.4 and 0.16% for bulimia nervosa (BN), 0.6 and 0.3% for binge‐eating disorder (BED), 4.5 and 0.16% for other specified feeding or eating disorder (OSFED), and 4.5 and 1.6% for unspecified feeding or eating disorder (UFED). Among females, the prevalence of OSFED subcategories was as follows: atypical AN 2.1%, purging disorder 1.3%, BED of low frequency/limited duration 0.7%, and BN of low frequency/limited duration 0.4%. The 10‐year incidence rate of eating disorders was 1,700 per 100,000 person‐years among females (peak age of onset 16–19 years) and 220 per 100,000 person‐years among males.
Discussion
Eating disorders are a common public health concern among youth and young adults, affecting one in six females and one in 40 males. Adequate screening efforts, prevention, and interventions are urgently needed.
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