Quality of weight loss advice on internet forums.

BACKGROUND Adults use the Internet for weight loss information, sometimes by participating in discussion forums. Our purpose was to analyze the quality of advice exchanged on these forums. METHODS This was a retrospective analysis of messages posted to 18 Internet weight loss forums during 1 month in 2006. Advice was evaluated for congruence with clinical guidelines; potential for causing harm; and subsequent correction when it was contradictory to guidelines (erroneous) or potentially harmful. Message- and forum-specific characteristics were evaluated as predictors of advice quality and self-correction. RESULTS Of 3368 initial messages, 266 (7.9%) were requests for advice. Of 654 provisions of advice, 56 (8.6%) were erroneous and 19 of these 56 (34%) were subsequently corrected. Forty-three (6.6%) provisions of advice were harmful, and 12 of these 43 (28%) were subsequently corrected. Messages from low-activity forums (fewer messages) were more likely than those from high-activity forums to be erroneous (10.6% vs 2.4%, P < .001) or harmful (8.4% vs 1.2%, P < .001). In high-activity forums, 2 of 4 (50%) erroneous provisions of advice and 2 of 2 (100%) potentially harmful provisions of advice were corrected by subsequent postings. Compared with general weight loss advice, medication-related advice was more likely to be erroneous (P = .02) or harmful (P = .01). CONCLUSIONS Most advice posted on highly active Internet weight loss forums is not erroneous or harmful. However, clinical and research strategies are needed to address the quality of medication-related advice.

[1]  Obesity in Adults,et al.  Identification, Evaluation, and Treatment of Overweight and Obesity , 2021, Obesity Prevention and Treatment.

[2]  Connie L Bish,et al.  Diet and physical activity behaviors among Americans trying to lose weight: 2000 Behavioral Risk Factor Surveillance System. , 2005, Obesity research.

[3]  M. Serdula,et al.  Use of nonprescription weight loss products: results from a multistate survey. , 2001, JAMA.

[4]  J. Powell,et al.  Primary care Health related virtual communities and electronic support groups : systematic review of the effects of online peer to peer interactions , 2004 .

[5]  K. Flegal,et al.  Prevalence and trends in obesity among US adults, 1999-2000. , 2002, JAMA.

[6]  K. Elfhag,et al.  Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain , 2005, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[7]  M. Serdula,et al.  Use of Prescription Weight Loss Pills among U.S. Adults in 19961998 , 2001, Annals of Internal Medicine.

[8]  Gary L. Kreps,et al.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. , 2005, Archives of internal medicine.

[9]  Katie J. Ward,et al.  The 'expert patient': empowerment or medical dominance? The case of weight loss, pharmaceutical drugs and the Internet. , 2005, Social science & medicine.

[10]  A. Qaseem,et al.  Pharmacologic and Surgical Management of Obesity in Primary Care: A Clinical Practice Guideline from the American College of Physicians , 2005, Annals of Internal Medicine.

[11]  Katie J. Ward,et al.  Pro-anorexia, weight-loss drugs and the internet: an "anti-recovery" explanatory model of anorexia. , 2005, Sociology of health & illness.

[12]  K. M. Robinson,et al.  Unsolicited Narratives from the Internet: A Rich Source of Qualitative Data , 2001, Qualitative health research.

[13]  J. Carlin,et al.  Bias, prevalence and kappa. , 1993, Journal of clinical epidemiology.

[14]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[15]  R. Glasgow,et al.  Do Internet-Based Support Interventions Change Perceptions of Social Support?: An Experimental Trial of Approaches for Supporting Diabetes Self-Management , 2002, American journal of community psychology.

[16]  J. Sim,et al.  The kappa statistic in reliability studies: use, interpretation, and sample size requirements. , 2005, Physical therapy.

[17]  E. Bernstam,et al.  Accuracy and self correction of information received from an internet breast cancer list: content analysis , 2006, BMJ : British Medical Journal.

[18]  C. Weel,et al.  Role of social support in lifestyle-focused weight management interventions , 2005, European Journal of Clinical Nutrition.