How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?

In e-health intervention studies, there are concerns about the reliability of internet-based, self-reported (SR) data and about the potential for identity fraud. This study introduced and tested a novel procedure for assessing the validity of internet-based, SR identity and validated anthropometric and demographic data via measurements performed face-to-face in a validation study (VS). Participants (n = 140) from seven European countries, participating in the Food4Me intervention study which aimed to test the efficacy of personalised nutrition approaches delivered via the internet, were invited to take part in the VS. Participants visited a research centre in each country within 2 weeks of providing SR data via the internet. Participants received detailed instructions on how to perform each measurement. Individual’s identity was checked visually and by repeated collection and analysis of buccal cell DNA for 33 genetic variants. Validation of identity using genomic information showed perfect concordance between SR and VS. Similar results were found for demographic data (age and sex verification). We observed strong intra-class correlation coefficients between SR and VS for anthropometric data (height 0.990, weight 0.994 and BMI 0.983). However, internet-based SR weight was under-reported (Δ −0.70 kg [−3.6 to 2.1], p < 0.0001) and, therefore, BMI was lower for SR data (Δ −0.29 kg m−2 [−1.5 to 1.0], p < 0.0001). BMI classification was correct in 93 % of cases. We demonstrate the utility of genotype information for detection of possible identity fraud in e-health studies and confirm the reliability of internet-based, SR anthropometric and demographic data collected in the Food4Me study.

Disability in the Caribbean. A study of four countries: a socio-demographic analysis of the disabled

Includes bibliography

Socio-demographic vulnerability: old and new risks for communities, households and individuals: summary and conclusions

Includes bibliography

Socio-demographic vulnerability: old and new risks for communities, households and individuals

Includes bibliography

Socio-demographic analysis of youth in the Caribbean- a three country case study

Many Caribbean youth are doing reasonably well. They live in loving and caring families, attend school and are involved in various social activities in their communities. The health and well-being of the children and youth1 in the Caribbean is, and has been, the centre of attention of many studies, meetings and policy directives set at the regional, subregional and national levels. Programmes have been put in place to address the basic needs of young children in the areas of health and education and to provide guidance and directives to youth and adolescents in the area of professional formation and transition to adulthood. Critical issues such as reproductive health and family planning combined with access to education and information on these topics have been promoted to some extent. And finally, the Caribbean is known for rather high school enrolment rates in primary education that hardly show any gender disparities. While the situation is still good for some, growing numbers of children and youth cannot cope anymore with the challenges experienced quite early in their lives. Absent parents, instable care-taking arrangements, violence and aggression subjected to at home, in schools and among their friends, lack of a perspective in schools and the labour-market, early sexual initiation and teenage pregnancies are some of those issues faced by a rising number of young persons in this part of the world. Emotional instability, psychological stress and increased violence are one of the key triggers for increased violence and involvement in crime exhibited by ever younger youth and children. Further, the region is grappling with rising drop-out rates in secondary education, declining quality schooling in the classrooms and increasing numbers of students who leave school without formal certification. Youth unemployment in the formal labour market is high and improving the quality of professional formation along with the provision of adequate employment opportunities would be critical to enable youth to complete consistently and effectively the transition into adulthood and to take advantage of the opportunities to develop and use their human capital in the process. On a rather general note, the region does not suffer from a shortage of policies and programmes to address the very specific needs of children and youth, but the prominent and severe lack of systematic analysis and monitoring of the situation of children, youth and young families in the Caribbean does not allow for targeted and efficient interventions that promise successful outcomes on the long term. In an effort to assist interested governments to fill this analytical gap, various initiatives are underway to enhance data collection and their systematic analysis2. Population and household censuses are conducted every decade and a variety of household surveys, such as surveys of living conditions, labour force surveys and special surveys focusing on particular sub-groups of the population are conducted, dependent on the resources available, to a varying degree in the countries of the region. One such example is the United Nations Children’s Fund (UNICEF)-funded Multi-Indicator Cluster Surveys (MICS) that assess the situation of children and youth in a country. Over the past years and at present, UNICEF has launched a series of surveys in a number of countries in the Caribbean3. But more needs to be done to ensure that the data available is analyzed to provide the empirical background information for evidence-based policy formulation and monitoring of the efficiency and effectiveness of the efforts undertaken.

Sleep length, working hours and socio-demographic variables are associated with time attending evening classes among working college students

It is the aim of the present study to assess factors associated with time spent in class among working college students. Eighty-two working students from 21 to 26 years old participated in this study. They were enrolled in an evening course of the University of Sao Paulo, Brazil. Participants answered a questionnaire on living and working conditions. During seven consecutive days, they wore an actigraph, filled out daily activity diaries (including time spent in classes) and the Karolinska Sleepiness Scale every three hours from waking until bedtime. Linear regression analyses were performed in order to assess the variables associated with time spent in classes. The results showed that gender, sleep length, excessive sleepiness, alcoholic beverage consumption (during workdays) and working hours were associated factors with time spent in class. Thus, those who spent less time in class were males, slept longer hours, reported excessive sleepiness on Saturdays, worked longer hours, and reported alcohol consumption. The combined effects of long work hours (>40 h/week) and reduced sleep length may affect lifestyles and academic performance. Future studies should aim to look at adverse health effects induced by reduced sleep duration, even among working students who spent more time attending evening classes.

Overweight and obesity in relation to socio-economic status, tobacco smoking and plant food supplements usage

Programa de doctorado: Salud Pública (Epidemiología, Planificación y Nutrición)

Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status

Latent class regression models are useful tools for assessing associations between covariates and latent variables. However, evaluation of key model assumptions cannot be performed using methods from standard regression models due to the unobserved nature of latent outcome variables. This paper presents graphical diagnostic tools to evaluate whether or not latent class regression models adhere to standard assumptions of the model: conditional independence and non-differential measurement. An integral part of these methods is the use of a Markov Chain Monte Carlo estimation procedure. Unlike standard maximum likelihood implementations for latent class regression model estimation, the MCMC approach allows us to calculate posterior distributions and point estimates of any functions of parameters. It is this convenience that allows us to provide the diagnostic methods that we introduce. As a motivating example we present an analysis focusing on the association between depression and socioeconomic status, using data from the Epidemiologic Catchment Area study. We consider a latent class regression analysis investigating the association between depression and socioeconomic status measures, where the latent variable depression is regressed on education and income indicators, in addition to age, gender, and marital status variables. While the fitted latent class regression model yields interesting results, the model parameters are found to be invalid due to the violation of model assumptions. The violation of these assumptions is clearly identified by the presented diagnostic plots. These methods can be applied to standard latent class and latent class regression models, and the general principle can be extended to evaluate model assumptions in other types of models.

Hepatitis C in a sample of pregnant women in Switzerland: seroprevalence and socio-demographic factors

PRINCIPLES: The aim of this study was to determine the prevalence of hepatitis C (HCV) infection in a sample of pregnant women living in Switzerland in 1990-1991, in order to complement existing data in various populations. METHODS: Blood samples were collected from women from consecutive births in obstetric wards in public hospitals of 23 Swiss cantons over a one-year period. They were tested, among other things, for the presence of hepatitis C virus antibodies (anti-HCV). Statistical analyses were done to explore the association of demographic variables with anti-HCV. RESULTS: The study included a total of 9,057 women of whom 64 tested positive for anti-HCV, resulting in a crude prevalence of 0.71%. Prevalence varied by age and was highest in the 25-29-year age-group (0.90%). 43/5,685 Swiss women were HCV seropositive (0.76%) compared with 21/3,372 non-Swiss women (0.62%). Stratified analysis showed a significant association between anti-HCV and anti-HBc antibody positivity in Swiss (adjusted OR [aOR] 23, 95% CI 12-43) and non-Swiss nationals (aOR 3.3, 95% CI 1.3-8.3). CONCLUSIONS: The prevalence of anti-HCV antibodies in the early 1990s was <1% in this sample of pregnant women in Switzerland and was associated with age, nationality and the presence of anti-HBc antibodies, a marker of exposure to hepatitis B virus. These results are in accordance with those from other published European studies. If an effective intervention to prevent vertical transmission becomes available, information on the current prevalence of HCV in pregnant women would be needed in order to assess how screening recommendations should be modified.

Serious suicidal behaviors: socio-demographic and clinical features in a multinational, multicenter sample

BACKGROUND: Declared suicidal intent and physical danger are both considered important components in defining suicidal behaviors (SB). AIMS: 1) To investigate characteristics of serious suicidal behaviors (SSB), defined by either suicidal intent or lethality; 2) To determine any difference in terms of socio-demographic, clinical and/or service usage variables between SSB and non-serious suicidal behaviors (NSSB). METHODS: A total of 2631 contacts for SB were registered in the context of the MONSUE (Monitoring Suicidal Behavior in Europe) study project. Demographic and clinical information were registered. ICD-10 was used for classifying data about psychiatric diagnoses, methods used for SB and injuries reported. Clear intentionality, high-case fatality methods and serious injuries all defined SSB (n = 1169; 44.4%) RESULTS: SSB were more often preceded by a contact with an inpatient (either psychiatric or somatic) rather than an outpatient service. Among those having a previous history of SB, SSB subjects had fewer contacts with health services before the previous attempt. The strongest predictors for SSB appeared to be older age and not professing a religion. CONCLUSION: Many of the known factors contributing to the risk of completed suicide were also present for SSB. Our findings on service usage by suicide attempters show which aspects of mental health services should be strengthened in order to improve suicide prevention.