Student burnout is raising an increasing amount of concern. Burnout often leads to psychosocial problems and drop-out. In this study multiple regression analysis was used to examine the impact of ...performance pressure, loneliness, and sense of belonging on the underlying dimensions of burnout in 3,134 university students in the Netherlands. Results suggest that sense of belonging could be targeted as a way to enhance student wellbeing, in order to improve the ability to cope with the high demands in student life and the prevention of burnout.
The growing number of community-dwelling older adults and the increased risks of adverse health events that accompany ageing, call for health promotion interventions. Nurses often lead these ...interventions. The views and experiences of older adults participating in these interventions have rarely been studied. To understand the views of targeted older adults, qualitative studies are essential. The aim of this study was to investigate the views and experiences of older adults on their participation in a nurse-led intervention, taking into account their views on healthy aging.
In a qualitative study, nineteen Dutch older adults aged 62 to 92 years participated in semi-structured interviews. These were transcribed verbatim and coded with the Qualitative Data Analysis Miner software program. The Qualitative Analysis Guide of Leuven was used for data analysis.
Based on the analysis of the interviews, the following main themes emerged from the data reflecting the experiences of the participants: 1) awareness of aging, 2) experienced interaction with the nurse, and 3) perception of the consultations as a check-up and/or personal support.
This study underscores the importance of nurse-led interventions that match older adults' personal views concerning healthy living, and their views and experiences concerning these interventions. Older adults' holistic views of healthy living were not always assessed and valued by the nurses. Also, our study shows a wide variety of expectations, views and experiences among the participating older adults. This implies that health professionals should adjust their working and communication methods to the older adult's views on life.
Studies on the impact of the 'obesogenic' environment have often used non-theoretical approaches. In this journal's debate and in other papers authors have argued the necessity of formulating ...conceptual models for differentiating the causal role of environmental influences on behavior.
The present paper aims to contribute to the debate by presenting a dual-process view on the environment--behavior relationship. This view is conceptualized in the EnRG framework (Environmental Research framework for weight Gain prevention). In the framework, behavior is postulated to be the result of a simultaneous influence of conscious and unconscious processes. Environmental influences are hypothesized to influence behavior both indirectly and directly. The indirect causal mechanism reflects the mediating role of behavior-specific cognitions in the influence of the environment on behavior. A direct influence reflects the automatic, unconscious, influence of the environment on behavior. Specific personal and behavioral factors are postulated to moderate the causal path (i.e., inducing either the automatic or the cognitively mediated environment - behavior relation). In addition, the EnRG framework applies an energy balance-approach, stimulating the integrated study of determinants of diet and physical activity.
The application of a dual-process view may guide research towards causal mechanisms linking specific environmental features with energy balance-related behaviors in distinct populations. The present paper is hoped to contribute to the evolution of a paradigm that may help to disentangle the role of 'obesogenic' environmental factors.
There is growing evidence that disturbances in maternal metabolism and, subsequently, intrauterine conditions affect foetal metabolism. Whether this has metabolic consequences in offspring later in ...life is not fully elucidated. We investigated whether maternal pre-pregnancy body mass index (pBMI) is associated with offspring's adiposity at age 5-6 years and whether this association is mediated by the mother's lipid profile during early pregnancy.
Data were derived from a multi-ethnic birth cohort, the Amsterdam Born Children and their Development (ABCD) study (inclusion 2003-2004). During early gestation mothers completed a questionnaire during pregnancy (pBMI) and random non-fasting blood samples were analysed for total cholesterol (TC), triglycerides (TG), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB) and total free fatty acids (FFA) in early gestation. At age 5-6 years, child's BMI, waist-to-height-ratio (WHtR) and fat% were assessed.
Only non-diabetic mothers with at term-born children were included (n = 1727). Of all women, 15.1% were overweight(BMI: 25-29.9 kg/m2) and 4.3% were obese (BMI≥30 kg/m2). After adjustments for confounders, every unit increase in pBMI was linearly associated with various offspring variables: BMI (β 0.10; 95% CI 0.08-0.12), WHtR*100 (β 0.13; 95% CI 0.09-0.17), fat% (β 0.21; 95% CI 0.13-0.29) and increased risk for overweight (OR:1.15; 95% CI 1.10-1.20). No convincing proof for mediation by maternal lipid profile during early gestation was found. Moreover, maternal FFA was associated with the child's fat percentage, BMI and risk for overweight. Maternal ApoB and TC were positively associated with the offspring's fat percentage and maternal TG was positively associated with their children's WHtR.
Both pBMI and maternal lipids during early pregnancy are independently related to offspring adiposity.
Growing evidence suggests that maternal mental health issues are associated with (young) children's weight outcomes. However, most studies have been limited by cross-sectional designs and have been ...aimed at (younger) children. The current prospective study focuses on the link between maternal mental health (i.e., psychological stress and depressive symptoms) and adolescents' zBMI development.
The participants in the present study were part of wave 1 and 2 of a longitudinal study on Dutch adolescents' and their parents' health behavior. Adolescents (aged 10-14) and their parents were recruited through six secondary schools in the South and the East of the Netherlands. For this study, we only included biological mothers and their adolescent children who participated in both waves, with data on the main measures in both waves, leaving a final sample of 336 biological mother-child dyads. Adolescents height and weight were measured, and both parents and adolescents filled in validated questionnaires on perceived stress and depressive symptoms and answered additional questions concerning domain-specific stress. Regression analyses were performed in R to examine longitudinal links between maternal stress and depressive symptoms at baseline (T1) and adolescents' BMI standard deviation scores (zBMI) 6 months later (T2), corrected for baseline zBMI and covariates.
Maternal general perceived stress (β = .20, p = .002) at T1 preceded higher adolescents' zBMI at T2, after controlling for baseline zBMI and other covariates, whereas maternal depressive symptoms at T1 (β = -.05, p = .44) and other domain-specific stress did not (maternal financial stress, maternal stress at work, maternal stress at home). Additionally, lower educational level among adolescents (β = .16, p = .001) and adolescent depressive symptoms (β = .16, p = .001) was associated with a higher zBMI at T2.
Results suggest that maternal general stress, but not depressive symptoms, may influence adolescents' weight development. Our findings warrant future investigation on whether and how general stress among mothers may predict weight increases of their adolescent offspring.
To date, many epidemiologic studies examining associations between obesity and dietary and sedentary/physical activity behaviors have focused on assessing Body Mass Index (BMI) at one point in time. ...Recent developments in statistical techniques make it possible to study the potential heterogeneity in the development of BMI during childhood by identifying distinct subpopulations characterized by distinct developmental trajectories. Using Latent Class Growth (Mixture) Modelling (LCGMM) techniques we aimed to identify BMI trajectories in childhood and to examine associations between these distinct trajectories and dietary, sedentary and physical activity behaviors.
This longitudinal study explored BMI standard deviation score (SDS) trajectories in a sample of 613 children from 4 to 12 years of age. In 2006, 2009 and 2012 information on children's health related behaviors was obtained by parental questionnaires, and children's height and weight were measured. Associations with behaviors were investigated with logistic regression models.
We identified two BMI SDS trajectories; a decreasing BMI SDS trajectory (n = 416; 68 %) and an increasing BMI SDS trajectory (n = 197; 32 %). The increasing BMI SDS trajectory consisted of more participants of lower socio-economic status (SES) and of non-western ethnicity. Maternal overweight status was associated with being in the increasing BMI SDS trajectory at both baseline and follow-up six years later (2006: Odds Ratio (OR), 2.9; 95 % confidence interval (CI) 1.9 to 4.3; 2012 OR, 1.8; 95 % CI 1.2 to 2.6). The increasing BMI SDS trajectory was associated with the following behaviors; drinking sugared drinks > 3 glasses per day, participation in organized sports < 1 h per week, and TV viewing > 2 h per day, though participation in organized sports at follow-up was the only significant result.
Our results indicate the importance of healthy lifestyle behaviors at a young age, and indicate that maternal BMI is a very important risk factor for the development of childhood overweight. Comprehension of heterogeneity in the development of BMI and associations with modifiable health related behaviors is interesting for prevention by targeting high risk behaviors in early childhood, especially in low SES children, children of non-western ethnicity and children whose mother is overweight.
Objectives To compare the prevalence of overweight and obesity and nutrition and physical activity behavior between primary school children with and without disabilities. Study design Body weight and ...height were measured in 4072 children from regular primary schools in the city of Zwolle, the Netherlands, and in 85 children from a school for children with disabilities. Furthermore, parents completed a questionnaire on the child’s nutrition and physical activity behavior. A χ2 analysis was used to test categorical variables between groups, and analysis of variance was used for continuous variables. Results The prevalence of overweight and obesity among disabled children was 30.6% and 10.6%, respectively, which is three and six times higher than in nondisabled children ( P < .001 ) . Furthermore, our study shows statistically significant differences in nutrition and physical activity behavior between disabled and nondisabled children. Conclusions There is a need to promote a healthy lifestyle and to reduce the prevalence of overweight and obesity in disabled children.
Tackling childhood obesity is complex and requires a community-based approach implemented in multiple environments. It is known from literature that knowledgeable and skilled professionals are ...essential to implement such an approach successfully. The aim of the present study was to assess the need for training and support among a global network of programme directors implementing a Community-Based Childhood Obesity Intervention (CBCOI) based on the EPODE approach, in order to assist them in optimising the implementation process.
An online survey was sent to 40 programme directors representing programmes implementing a CBCOI based on the EPODE approach. The survey consisted of statements on a 5-point Likert scale and multiple-choice questions about attitude towards and usefulness of training and support, and preferences for some predefined training types and training topics. In total, 22 programme directors responded to the survey (55% response rate). Data were analysed using descriptive statistics to describe the need for support in order to improve successful implementation.
Respondents strongly agreed that continually updating skills and learning how to make their programmes more effective and sustainable at the start and during the implementation was important. On-site training was preferred most at the commencement of a programme, while a 2-day training course was most valued during implementation. Monitoring, measuring and programme evaluation was identified as the most valuable training topic.
The results indicate a continuing and significant need for support and training among programme directors implementing a CBCOI. The findings give directions regarding topics and types of training and support in order to improve the implementation process.
Objective: To identify the determinants of underreporting BMI and to evaluate the possibilities of using self‐reported data for valid obesity prevalence rate estimations.
Research Methods and ...Procedures: A cross‐sectional monitoring health survey was carried out between 1998 and 2002, and a review of published studies was performed. A total of 1809 men and 1882 women ages 20 to 59 years from The Netherlands were included. Body weight and height were reported and measured. Equations were calculated to estimate individuals’ BMI from reported data. These equations and equations from published studies were applied to the present data to evaluate whether using these equations led to valid estimations of the obesity prevalence rate. Also, size of underestimation of obesity prevalence rate was compared between studies.
Results: The prevalence of obesity was underestimated by 26.1% and 30.0% among men and women, respectively, when based on reported data. The most important determinant of underreporting BMI was a high BMI. When equations to calculate individuals’ BMI from reported data were used, the obesity prevalence rate was still underestimated by 12.9% and 8.1% of the “true” obesity prevalence rate among men and women, respectively. The degree of underestimating the obesity prevalence was inconsistent across studies. Applying equations from published studies to the present data led to estimations of the obesity prevalence varying from a 7% overestimation to a 74% underestimation.
Discussion: Valuable efforts for monitoring and evaluating prevention and treatment studies require direct measurements of body weight and height.
As indicated by the ANGELO framework and similar models, various environmental factors influence population levels of physical activity (PA). To date attention has focused on the micro-level ...environment, while evidence on the macro-level environment remains scarce and mostly limited to high-income countries. This study aims to investigate whether environmental factors at macro-level are associated with PA among a broader range of countries.
Data from the World Health Survey (WHS) was used to analyze 177,035 adults from 38 (mostly low and middle income) countries. The International Physical Activity Questionnaire-Short Form (IPAQ-S) was used to measure PA. Respondents were classified as active or inactive for vigorous PA, moderate PA and walking. Multilevel logistic regression was performed to assess associations between macro-level environmental factors and the prevalence of PA, with control for individual-level socioeconomic factors.
The prevalence of PA varied widely between countries and types of PA (5.0%-93.8%). A negative association was found between gross domestic product and PA, odds ratios for men were 0.76 (95% CI: 0.65-0.89) for moderate PA and 0.79 (95% CI: 0.63-0.98) for walking. A higher temperature was associated with less PA (all types) and higher urbanization was associated with less vigorous and moderate PA. More gender equality was also associated with more walking for women. Governmental functioning and literacy rate were not found to be associated with any type of PA.
This exploratory study indicates that factors such as climate, economic development and cultural factors are determinants of the level of overall PA at national levels. This underlines the suggestion that the macro-environment should be regarded as an important influence on PA.
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