Charlene Ottevaere
Biographic Data
| ID | 7549423 |
|---|---|
| NAME | Charlene Ottevaere |
| GIVEN NAMES | Charlene |
| FAMILY NAME | Ottevaere |
| SIGNATURE | OTTEVAERE C |
| AFFILIATIONS | Ghent University |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Can differences in physical activity by socio-economic status in European adolescents be explained by differences in psychosocial correlates? A mediation analysis within the Helena (Healthy Lifestyle …
Objective Socio-economic status (SES) has been positively associated with physical activity (PA) levels in adolescents. In order to tackle these social inequalities, information is needed about the underlying mechanisms of this association. The present study aimed to investigate the potential mediating role of psychosocial correlates of PA on the relationship between SES and PA in European adolescents. Design Cross-sectional study testing the med…
Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents
In order to develop effective primary prevention strategies, it would be important to consider multiple health indices when identifying high risk groups
Self-reported physical activity in European adolescents
Objective To describe self-reported physical activity (PA) patterns in the various domains (school, home, transport, leisure time) and intensity categories (walking, moderate PA, vigorous PA) in European adolescents. Furthermore, self-reported PA patterns were evaluated in relation to gender, age category, weight status category and socio-economic status (SES). Design Cross-sectional study. Setting Ten European cities. Subjects In total, 3051 ado…
Measuring physical activity using accelerometry in 13–15-year-old adolescents
Objective The present study aimed to examine the impact of non-wear activities registered in diaries when using accelerometers to assess physical activity (PA) in young adolescents. Design Data arise from a large-scale cross-sectional study on PA. PA was objectively assessed using ActigraphTM accelerometers (Actigraph MTI, Manufacturing Technology Inc., Pensacola, FL, USA) during seven consecutive days. Non-wear time activity diaries were provide…
Validity of Self-Reported Weight and Height of Adolescents, Its Impact on Classification into BMI-Categories and the Association with Weighing Behaviour
This paper investigated the validity of self-reported height and weight of adolescents for the diagnosis of underweight, overweight and obesity and the influence of weighing behaviour on the accuracy. A total of 982 adolescents reported their height, weight, weighing behaviour and eating patterns in a questionnaire. Afterwards, their height and weight were measured and their Body Mass Index (BMI)-categories were determined using age- and gender-s…
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Validity of Self-Reported Weight and Height of Adolescents, Its Impact on Classification into BMI-Categories and the Association with Weighing Behaviour
This paper investigated the validity of self-reported height and weight of adolescents for the diagnosis of underweight, overweight and obesity and the influence of weighing behaviour on the accuracy. A total of 982 adolescents reported their height, weight, weighing behaviour and eating patterns in a questionnaire. Afterwards, their height and weight were measured and their Body Mass Index (BMI)-categories were determined using age- and gender-s…
Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents
In order to develop effective primary prevention strategies, it would be important to consider multiple health indices when identifying high risk groups
Self-reported physical activity in European adolescents
Objective To describe self-reported physical activity (PA) patterns in the various domains (school, home, transport, leisure time) and intensity categories (walking, moderate PA, vigorous PA) in European adolescents. Furthermore, self-reported PA patterns were evaluated in relation to gender, age category, weight status category and socio-economic status (SES). Design Cross-sectional study. Setting Ten European cities. Subjects In total, 3051 ado…
Measuring physical activity using accelerometry in 13–15-year-old adolescents
Objective The present study aimed to examine the impact of non-wear activities registered in diaries when using accelerometers to assess physical activity (PA) in young adolescents. Design Data arise from a large-scale cross-sectional study on PA. PA was objectively assessed using ActigraphTM accelerometers (Actigraph MTI, Manufacturing Technology Inc., Pensacola, FL, USA) during seven consecutive days. Non-wear time activity diaries were provide…
Can differences in physical activity by socio-economic status in European adolescents be explained by differences in psychosocial correlates? A mediation analysis within the Helena (Healthy Lifestyle …
Objective Socio-economic status (SES) has been positively associated with physical activity (PA) levels in adolescents. In order to tackle these social inequalities, information is needed about the underlying mechanisms of this association. The present study aimed to investigate the potential mediating role of psychosocial correlates of PA on the relationship between SES and PA in European adolescents. Design Cross-sectional study testing the med…
Medicine (5 works) · Obesity, Physical Activity, Diet (5 works) · Demography (4 works) · Demography (4 works) · Physical activity (4 works) · Physical Activity and Health (4 works) · Gerontology (3 works) · Physical therapy (3 works) · Environmental health (2 works) · Obesity (2 works)