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Gepubliceerd in: Quality of Life Research 5/2015

01-05-2015 | Patient Engagement Special Section

Obese subjects involvement in a population-based survey: the use of information and communication technologies (ICT) to avoid stigmatization

Auteurs: Benoit Pétré, Anne-Françoise Donneau, Céline Crutze, Eddy Husson, André Scheen, Michèle Guillaume

Gepubliceerd in: Quality of Life Research | Uitgave 5/2015

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Abstract

Background

Epidemiological and health promotion studies in obese subjects are hampered by the difficulty of obtaining a representative sample from the community. The enrollment process can be at high risk of stigmatization. The purpose of this study is to describe an original information and communication technologies (ICT) strategy to get around these ethical and methodological difficulties.

Methods

A multimedia campaign of communication was organized on the topic of overweight and quality of life (QoL). A specific website was developed to collect via a questionnaire QoL data as well as information related to patient’s needs and health perception from participants. To promote the website, multiple information supports were largely diffused. Primary care professionals were solicited to enhance the enrollment. The campaign started with a press conference covered by the main television channels.

Results

The ICT-based approach allowed the participation of 4,155 subjects homogeneously distributed with respect to body mass index, age, gender and socioeconomic level. A high percentage of subjects fully completed the web-based questionnaire. The press conference allowed reaching a quarter of the total sample within 5 days.

Conclusions

Overweight remains a major public health problem. This survey showed that a holistic approach supported by ICT is a promising way to recruit obese subjects without stigmatizing the disorder.
vorige artikel Low-income minority patient engagement with automated telephonic depression assessment and impact on health outcomes
volgende artikel Gaps between patients’ reported current and preferred abilities versus clinicians’ emphases during an episode of care: Any agreement?
Literatuur
1.
James, W. P., Jackson-Leach, R., Mhurchu, C. N., Kalamara, E., Shayeghi, M., Rigby, N. J., et al. (2004). Comparative quantification of health risks: Global and regional burden of disease attribution to selcted major risk factors. In M. Ezzati, A. D. Lopez, A. Rodgers, & C. J. L. Murray (Eds.), Overweight and obesity (high body mass index) (Vol. 1, pp. 497–596). Geneve: World Health Organization.
2.
Flegal, K. M., Graubard, B. I., Williamson, D. F., & Gail, M. H. (2005). Excess deaths associated with underweight, overweight, and obesity. JAMA, 293(15), 1861–1867. CrossRefPubMed
3.
Haslam, D. W., & James, W. P. (2005). Obesity Lancet, 366(9492), 1197–1209. CrossRef
4.
Muller-Riemenschneider, F., Reinhold, T., Berghofer, A., & Willich, S. N. (2008). Health-economic burden of obesity in Europe. European Journal of Epidemiology, 23(8), 499–509. CrossRefPubMed
5.
Wang, Y. C., McPherson, K., Marsh, T., Gortmaker, S. L., & Brown, M. (2011). Health and economic burden of the projected obesity trends in the USA and the UK. Lancet, 378(9793), 815–825. CrossRefPubMed
6.
Olshansky, S. J., Passaro, D. J., Hershow, R. C., Layden, J., Carnes, B. A., Brody, J., et al. (2005). A potential decline in life expectancy in the United States in the 21st century. The New England Journal of Medicine, 352(11), 1138–1145. CrossRefPubMed
7.
Fontaine, K. R., & Barofsky, I. (2001). Obesity and health-related quality of life. Obesity Reviews, 2(3), 173–182. CrossRefPubMed
8.
Lewis, S., Thomas, S. L., Blood, R. W., Hyde, J., Castle, D. J., & Komesaroff, P. A. (2010). Do health beliefs and behaviors differ according to severity of obesity? A qualitative study of Australian adults. International Journal of Environmental Research and Public Health, 7(2), 443–459. CrossRefPubMedCentralPubMed
9.
Jia, H., & Lubetkin, E. I. (2005). The impact of obesity on health-related quality-of-life in the general adult US population. Journal of Public Health, 27(2), 156–164. CrossRefPubMed
10.
Swallen, K. C., Reither, E. N., Haas, S. A., & Meier, A. M. (2005). Overweight, obesity, and health-related quality of life among adolescents: The National Longitudinal study of adolescent health. Pediatrics, 115(2), 340–347. CrossRefPubMed
11.
Puhl, R. M., & Heuer, C. A. (2009). The stigma of obesity: A review and update. Obesity, 17(5), 941–964. CrossRefPubMed
12.
Puhl, R. M., & Heuer, C. A. (2010). Obesity stigma: Important considerations for public health. American Journal of Public Health, 100(6), 1019–1028. CrossRefPubMedCentralPubMed
13.
Scheen, A., Bourguignon, J. P., Hubermont, G., Ziegler, O., Böhme, P., Collin, J. F., et al. (2010). Education therapeutique et preventive face au diabete et a l’obesite a risque chez l’adulte et l’adolescent : le projet Interreg IV EDUDORA2. Diabetes and Metabolism, 36, 193.
14.
World Health Organization. (1998). Preventing and managing the global epidemic: Report on a WHO consultation (WHO technical report series 894). Geneva: World Health Organization.
15.
O’Cathain, A., & Thomas, K. J. (2004). “Any other comments?” Open questions on questionnaires—a bane or a bonus to research? BMC Medical Research Methodology, 4, 25. CrossRefPubMedCentralPubMed
16.
17.
Pritchard, M. (2010). Does self esteem moderate the relation between gender and weight preoccupation in undergraduates? Personality and Individual Differences, 48, 224–227. CrossRef
18.
Crutze, C., Streel, S., Donneau, A. F., Albert, A., & Guillaume, M. (2013). Influence of the body mass index on the perception and representation of subjects with overweight and obesity in Wallonia (Belgium): Results from the EDUDORA2.In 6th European Public Health Conference. Bruxelles.
19.
Crutze, C., Streel, S., Donneau, A. F., Albert, A., Scheen, A., & Guillaume, M. (2014). Influence de l’indice de masse corporelle (IMC) sur les perceptions et les représentations des personnes en surpoids ou obèses: résultats de l’étude Edudora2 (« Éducation thérapeutique et préventive face au diabète et à l’obésité à risque chez l’adulte et l’adolescent). Diabetes and Metabolism, 40(S1), A50. CrossRef
20.
Tjonneland, A., Olsen, A., Boll, K., Stripp, C., Christensen, J., Engholm, G., et al. (2007). Study design, exposure variables, and socioeconomic determinants of participation in diet, Cancer and health: A population-based prospective cohort study of 57,053 men and women in Denmark. Scandinavian Journal of Public Health, 35(4), 432–441. CrossRefPubMed
21.
Sonne-Holm, S., Sorensen, T. I., Jensen, G., & Schnohr, P. (1989). Influence of fatness, intelligence, education and sociodemographic factors on response rate in a health survey. Journal of Epidemiology and Community Health, 43(4), 369–374. CrossRefPubMedCentralPubMed
22.
Levenkron, J. C., & Farquhar, J. W. (1982). Recruitment using mass media strategies. Circulation, 66(6 Pt 2), Iv32–Iv36. PubMed
23.
Gorelick, P. B., Richardson, D., Hudson, E., Perry, C., Robinson, D., Brown, N., et al. (1996). Establishing a community network for recruitment of African Americans into a clinical trial. The African-American antiplatelet stroke prevention study (AAASPS) experience. Journal of the National Medical Association, 88(11), 701–704. PubMedCentralPubMed
24.
Thomas, K. S., Koller, K., Foster, K., Perdue, J., Charlesworth, L., & Chalmers, J. R. (2011). The UK clinical research network—has it been a success for dermatology clinical trials? Trials, 12, 153. CrossRefPubMedCentralPubMed
25.
UyBico, S. J., Pavel, S., & Gross, C. P. (2007). Recruiting vulnerable populations into research: A systematic review of recruitment interventions. Journal of General Internal Medicine, 22(6), 852–863. CrossRefPubMedCentralPubMed
Metagegevens
Titel
Obese subjects involvement in a population-based survey: the use of information and communication technologies (ICT) to avoid stigmatization
Auteurs
Benoit Pétré
Anne-Françoise Donneau
Céline Crutze
Eddy Husson
André Scheen
Michèle Guillaume
Publicatiedatum
01-05-2015
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 5/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-014-0800-y

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