The downward spiral of mental disorders and educational attainment: a systematic review on early school leaving.

BACKGROUND: Most psychiatric disorders present symptom patterns that cause severe impairment on the emotional, cognitive and social level. Thus, adolescents who suffer from a mental disorder risk finding themselves in a downward spiral caused by the reciprocal association of psychological symptoms and negative school experiences that may culminate in early school leaving. In addition to previous collective work that mainly focused on school refusing behaviour among children and was presented as an expert's opinion, the following systematic review fills the knowledge gap by providing a structured overview of the bidirectional association between mental health and secondary school dropout based on a sound methodology and with a particular focus on mediating factors. METHODS: Four electronic databases were searched from January 1990 until June 2014. Selected references were assessed for study details, main results, mediating factors and methodological limitations. Standardized risk of bias assessment was conducted. RESULTS: Mood and anxiety disorders seemed to have a less consequential direct effect on early school leaving than substance use and disruptive behaviour disorders. The association between externalizing disorders and educational attainment was even stronger when the disorder occurred early in life. On the other hand, internalizing disorders were reported to develop as a consequence of school dropout. Only few studies had addressed gender differences, with discrepant results. Socio-economic background, academic achievement and family support were identified as significant mediating factors of the association between mental disorders and subsequent educational attainment. CONCLUSIONS: Findings suggested a strong association between mental health and education, in both directions. However, most studies focused on mediating factors that could not be targeted by intervention programs

Modélisation de l'endurance humaine (de l'espace à l'individu)

Deux types de modèles ont été élaborés au XXe siècle pour estimer la performance sportive. Les modèles empiriques ont été créés à partir de records du monde alors que les modèles bioénergétiques à partir de paramètres bioénergétiques individuels. Notre première étude a pour but de comparer ces modèles dans la prévision de la performance au voisinage de la vitesse associée à la consommation maximale d'oxygène (vVO2max). Connaissant la grande inter-variabilité du temps limite à vVO2max et la relation exitant entre cette variable et les paramètres bioénergétiques, nous supposons que les modèles prenant en compte des composantes aérobies et anaérobies estiment plus précisément le temps limite à vVO2max que les modèles empiriques...Two types of models were established over the twentieth centrury to estimate sport performance. Empirical models were set out from world records while bioenergetic models were set out from individudal bioenergetic parameters. The aim of the first study was to compare these models in predicting performance around the velocity associated to the maximal oxygen uptake (vVO2max). As performance is highly varible and is related to bioenergetic parameters we therefore assumed that the models taking into account acrobic and anaerobic characteristics would more accurate in predicting time to fatigue around vVO2max...NICE-STAPS (060882236) / SudocPARIS5-BU Saints-Pères (751062109) / SudocSudocFranceF

Sleep duration and multimorbidity in Luxembourg: Results from the European Health Examination Survey in Luxembourg, 2013-2015

Objectives We estimated the prevalence of short sleep duration and multimorbidity in Luxembourg, and assessed whether sleep duration was associated with multimorbidity after adjusting for sociodemographic and behavioural characteristics. Design Cross-sectional study. Participants Data from 1508 Luxembourg residents (48% men and 52% women) aged 25 to 64 years came from the European Health Examination Survey 2013-2015. Outcome measures Short sleep duration and multimorbidity. Results Participants reported sleeping 6.95 hours/night during work days, nearly 1 hour less than during non-work days (7.86 hours/night). Nearly half of participants reported having been diagnosed with ≥2 chronic conditions/diseases. Short sleep duration was associated with the number of chronic conditions (OR 4.65, 95% CI 1.48 to 14.51; OR 7.30, 95% CI 2.35 to 22.58; OR 6.79, 95% CI 2.15 to 21.41 for 1, 2 and ≥3 chronic conditions/diseases, respectively), independently of socioeconomic and behavioural characteristics. Conclusions Health promotion programmes should aim at improving and promoting healthy lifestyles among the general population to improve sleep habits as well as decrease multimorbidity in middle-aged adults

Depression burden in luxembourg: Individual risk factors, geographic variations and the role of migration, 2013–2015 European Health Examination Survey

Background Depression is a complex mental disorder that affects an increasing proportion of the worldwide population. This study aims to estimate the prevalence of depressive symptoms in Luxembourg, associated risk factors and geographic variations. Additionally, it aims to assess whether first and second generation immigrants are at higher risk for depressive symptoms compared to non-immigrants. Methods Representative cross-sectional data from 1499 residents of Luxembourg, aged 25–64 years, were collected from the Luxembourg European Health Survey (EHES-LUX). Depressive symptoms were defined as a score of ≥5 on the Patient Health Questionnaire for depression (PHQ-9) (i.e. mild, moderate or severe). Standard and Bayesian regression models were used to examine associations between depressive symptoms, immigration status and geographic distribution across Luxembourg. Results The prevalence of depressive symptoms was 21.55% (15.54% mild, 3.54% moderate, and 2.49% moderately severe to severe). The odds of having depressive symptoms was higher among second generation immigrants compared to non-immigrants (OR: 1.58, 95% CI: 1.04, 2.41), independent of socioeconomic and behavioral characteristics. Healthier diet, higher social support and good health perception were protective towards experiencing depressive symptoms. One of the highest likelihoods of reporting depressive symptoms was observed in the South-West of the country with a positive effect at 80% credible region [CR] (1.42 [0.92, 2.73]). Limitations The participation rate was low (26.7%). The cross-sectional nature of the study does not allow us to establish causality. Conclusions Depression constitutes an important public health challenge in Luxembourg due to the impact on the overall health of the population. Social programs of health promotion should be developed to improve mental wellbeing in immigrants, especially those of second generation

Study design and characteristics of the Luxembourg European Health Examination Survey (EHES-LUX)

Background: The European Health Examination Survey in Luxembourg (EHES-LUX) is a population based survey performed from 2013 to 2015 with the aim to establish baseline information on the general health status of the Luxembourg population aged 25 to 64 years. The paper introduces the study design, recruitment method and representativeness of the sample, and summarizes the sociodemographic characteristics of participants and the prevalence of major health outcomes. Methods: EHES-LUX is based on a random sample representative of the population of Luxembourg based on gender, age and district of residence. The sample size of the study was determined to provide accurate prevalence estimates for major chronic conditions. During two visits, data were collected from participants through a questionnaire (personal data, health status and health care), medical examinations (anthropometric measures, electrocardiogram and spirometry) and biological analysis (blood, urine and hair). Means and frequencies were used to describe the general characteristics of the population and a one-way ANOVA to test the representativeness of the sample and the comparability of participants and non-participants. Results: A total of 1529 individuals participated in this study (participation rate of 24.1%). Differences between participants and non-participants based on gender, age and district of residence were corrected by sampling weights. The mean age (±SD) of participants was 44.9 (±10.1) years, of which 52.8% were women. Based on clinical measurements, nearly 20% of participants were obese and more than one in three participants were overweight. From measurements (respectively from self-report), 22.0% (respectively 12.2%) were hypertensive, 49.3% (respectively 22.5%) had hypercholesterolemia, 3.5% (respectively 3.7%) had diabetes and 7.6% (respectively 6.0%) had depressive symptoms. Conclusions: This nationwide epidemiological study on the general health status of Luxembourg residents provides updated prevalence estimates on a range of major health conditions. This information can be used by health authorities to evaluate policies and public health initiatives. At European level, prevalence data obtained by this study following the EHES-Reference Committee (EHES-RC) recommendations, will be comparable between European countries participating in this program

Public health burden of pre-diabetes and diabetes in Luxembourg: Finding from the 2013-2015 European Health Examination Survey

Objective The aim of this study was to determine the burden and risk factors of prediabetes and diabetes in the general adult population of Luxembourg. Design Cross-sectional survey between 2013 and 2015. Setting Data were collected as part of the European Health Examination Survey in Luxembourg (EHES-LUX). Participants 1451 individuals were recruited in a random sample of the 25-64-year-old population of Luxembourg. Outcomes Diabetes was defined by a glycaemic biomarker (fasting plasma glucose (FPG) ≥7.0 mmol/L), self-reported medication and medical diagnosis; prediabetes by a glycaemic biomarker (FPG 5.6-6.9 mmol/L), no self-reported medication and no medical diagnosis. Undiagnosed diabetes was defined only from the glycaemic biomarker; the difference between total and undiagnosed diabetes was defined as diagnosed diabetes. Odds of diabetes and prediabetes as well as associated risk factors were estimated. Results The weighted prevalence of prediabetes and diabetes was 25.6% and 6.5%, respectively. Nearly 4.8% (men: 5.8%; women: 3.8%) were diagnosed diabetes and 1.7% (men: 2.6%; women: 0.7%) were undiagnosed diabetes. The multivariable-adjusted OR (MVOR) for diabetes risk were: Age 1.05 (95% CI 1.01 to 1.09), family history of diabetes 3.24 (1.95-5.38), abdominal obesity 2.63 (1.53-4.52), hypertension 3.18 (1.76-5.72), one-unit increase of triglycerides 1.16 (1.10-1.22) and total cholesterol 0.74 (0.64-0.86). The MVOR for prediabetes risk were: Age 1.04 (95% CI 1.02 to 1.06), male sex 1.84 (1.30-2.60), moderate alcohol consumption 1.38 (1.01-1.89), family history of diabetes 1.52 (1.13-2.05), abdominal obesity 1.44 (1.06-1.97), second-generation immigrants 0.61 (0.39-0.95) and a one-unit increase of serum high-density lipoprotein cholesterol 0.70 (0.54-0.90). Conclusions In Luxembourg, an unexpectedly high number of adults may be affected by prediabetes and diabetes. Therefore, these conditions should be addressed as a public health priority for the country, requiring measures for enhanced detection and surveillance, which are currently lacking, especially in primary care settings

Challenges and benefits of integrating diverse sampling strategies in the observation of cardiovascular risk factors (ORISCAV-LUX 2) study

Background: It is challenging to manage data collection as planned and creation of opportunities to adapt during the course of enrolment may be needed. This paper aims to summarize the different sampling strategies adopted in the second wave of Observation of Cardiovascular Risk Factors (ORISCAV-LUX, 2016-17), with a focus on population coverage and sample representativeness. Methods: Data from the first nationwide cross-sectional, population-based ORISCAV-LUX survey, 2007-08 and from the newly complementary sample recruited via different pathways, nine years later were analysed. First, we compare the socio-demographic characteristics and health profiles between baseline participants and non-participants to the second wave. Then, we describe the distribution of subjects across different strategy-specific samples and performed a comparison of the overall ORISCAV-LUX2 sample to the national population according to stratification criteria. Results: For the baseline sample (1209 subjects), the participants (660) were younger than the non-participants (549), with a significant difference in average ages (44 vs 45.8 years; P = 0.019). There was a significant difference in terms of education level (P \u3c 0.0001), 218 (33%) participants having university qualification vs. 95 (18%) non-participants. The participants seemed having better health perception (p \u3c 0.0001); 455 (70.3%) self-reported good or very good health perception compared to 312 (58.2%) non-participants. The prevalence of obesity (P \u3c 0.0001), hypertension (P \u3c 0.0001), diabetes (P = 0.007), and mean values of related biomarkers were significantly higher among the non-participants. The overall sample (1558 participants) was mainly composed of randomly selected subjects, including 660 from the baseline sample and 455 from other health examination survey sample and 269 from civil registry sample (constituting in total 88.8%), against only 174 volunteers (11.2%), with significantly different characteristics and health status. The ORISCAV-LUX2 sample was representative of national population for geographical district, but not for sex and age; the younger (25-34 years) and older (65-79 years) being underrepresented, whereas middle-aged adults being over-represented, with significant sex-specific difference (p \u3c 0.0001). Conclusion: This study represents a careful first-stage analysis of the ORISCAV-LUX2 sample, based on available information on participants and non-participants. The ORISCAV-LUX datasets represents a relevant tool for epidemiological research and a basis for health monitoring and evidence-based prevention of cardiometabolic risk in Luxembourg

Psychosocial risk and protective factors of secondary school dropout in Luxembourg: the protocol of an exploratory case-control study.

BACKGROUND: In Luxembourg, the extensive phenomenon of school dropout is a prime policy concern in the light of individual, social and economic consequences. Although the authorities report an overall decrease of the national dropout rate, the proportion of early school leavers who remain without any specific occupation is still alarming. Therefore, this study intends a shift of focus from system-inherent to individual factors, including mental health and family correlates, to provide a more comprehensive analysis of the dropout phenomenon. METHODS/DESIGN: The objectives of this study are to investigate the type and prevalence of psychiatric disorders among school dropouts and to compare the findings with those by a matched control group of regularly enrolled students. Furthermore, family variables and socioeconomic status will be analysed, as they are factors likely to interfere with both educational attainment and mental health. A trained psychologist will use structured interviews and self-report forms to investigate for mental health issues, information on schooling, socioeconomic situation and family life. Controls will be matched for gender, age, school type and educational grade. DISCUSSION: As school dropouts face a serious risk of long term professional and social marginalization, there is an evident need for action. Identifying psychosocial risk and protective factors of school dropout will deliver solid insight on how to conceive public health strategies for young people who may need a more customized support to carry out their academic potential. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01354236