291 The children's health survey for asthma-teen version (CHSA-T): Development and testing of a self-report measure for adolescents

2000 ◽  
Vol 105 (1) ◽  
pp. S98
Author(s):  
L ASMUSSEN
2008 ◽  
Vol 21 (2) ◽  
pp. 89-98 ◽  
Author(s):  
Linda Radecki ◽  
Lynn M. Olson ◽  
Mary Pat Frintner ◽  
Kevin B. Weiss

PEDIATRICS ◽  
1999 ◽  
Vol 104 (6) ◽  
pp. e71-e71 ◽  
Author(s):  
L. Asmussen ◽  
L. M. Olson ◽  
E. N. Grant ◽  
J. Fagan ◽  
K. B. Weiss

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Bärbel-Maria Kurth ◽  
Panagiotis Kamtsiuris ◽  
Heike Hölling ◽  
Martin Schlaud ◽  
Rüdiger Dölle ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Moody ◽  
J Mindell ◽  
S Scholes ◽  
L Ng Fat

Abstract Background Prior to their inclusion in the Health Survey for England (HSE), there was a dearth of information about children's health in England. Official data recorded use of health services and uptake of national programmes such as school vaccinations. Birth cohorts provided longitudinal data, including risk factors and non-clinical measures, but were spaced far apart due to cost. The annual HSE has been tracking child health since 1995 and the health of older adolescents (aged 16-19) since the surveys began in 1991. The survey uses a multi-stage design to deliver a nationally-representative random probability sample of the general population in private households in England. Over 110,000 children aged 0-15, and 16,000 16-19-year olds have been interviewed since 1995 and 1991 respectively. Questionnaire content has varied, but includes general health and longstanding conditions, smoking and drinking, fruit and vegetable consumption, physical activity, respiratory problems, childhood diabetes, and parental perception of strengths and difficulties. Regular measurements include infant length, height and weight, blood pressure and cotinine levels. Results As well as general monitoring overall and across socioeconomic groups, e.g. height, weight and obesity, HSE data have been used to infer the impact of government policies on child- and adolescent-health, e.g. changes to smoking legal age, advertising, and the smokefree law. This presentation describes in more detail the sample, measurement protocols, questionnaire, published results and research-policy case studies such as the smoking ban. Novel results using the full sample as a synthetic cohort, tracking BMI, smoking, drinking, and general health, are presented for the first time. Conclusions Child health monitoring, in terms of trends, inequalities and policy evaluation; is enhanced by regular surveys representative of the general population, which include both subjective and objective measures.


2008 ◽  
Vol 24 (1) ◽  
pp. 22-26 ◽  
Author(s):  
Brian E. McGuire ◽  
Michael J. Hogan ◽  
Todd G. Morrison

Abstract. Objective: To factor analyze the Pain Patient Profile questionnaire (P3; Tollison & Langley, 1995 ), a self-report measure of emotional distress in respondents with chronic pain. Method: An unweighted least squares factor analysis with oblique rotation was conducted on the P3 scores of 160 pain patients to look for evidence of three distinct factors (i.e., Depression, Anxiety, and Somatization). Results: Fit indices suggested that three distinct factors, accounting for 32.1%, 7.0%, and 5.5% of the shared variance, provided an adequate representation of the data. However, inspection of item groupings revealed that this structure did not map onto the Depression, Anxiety, and Somatization division purportedly represented by the P3. Further, when the analysis was re-run, eliminating items that failed to meet salience criteria, a two-factor solution emerged, with Factor 1 representing a mixture of Depression and Anxiety items and Factor 2 denoting Somatization. Each of these factors correlated significantly with a subsample's assessment of pain intensity. Conclusion: Results were not congruent with the P3's suggested tripartite model of pain experience and indicate that modifications to the scale may be required.


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