Web‐based Weight Management Programs in an Integrated Health Care Setting: A Randomized, Controlled Trial

Objective : To assess the efficacy of a Web‐based tailored behavioral weight management program compared with Web‐based information‐only weight management materials. Research Methods and Procedures : Participants, 2862 eligible overweight and obese (BMI = 27 to 40 kg/m 2 ) members from four regions of Kaiser Permanente's integrated health care delivery system, were randomized to receive either a tailored expert system or information‐only Web‐based weight management materials. Weight change and program satisfaction were assessed by self‐report through an Internet‐based survey at 3‐ and 6‐month follow‐up periods. Results : Significantly greater weight loss at follow‐up was found among participants assigned to the tailored expert system than among those assigned to the information‐only condition. Subjects in the tailored expert system lost a mean of 3 ± 0.3% of their baseline weight, whereas subjects in the information‐only condition lost a mean of 1.2 ± 0.4% ( p < 0.0004). Participants were also more likely to report that the tailored expert system was personally relevant, helpful, and easy to understand. Notably, 36% of enrollees were African‐American, with enrollment rates higher than the general proportion of African Americans in any of the study regions. Discussion : The results of this large, randomized control trial show the potential benefit of the Web‐based tailored expert system for weight management compared with a Web‐based information‐only weight management program.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93691/1/oby.2006.34.pd

International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis

BackgroundCritical examination of the quality and validity of available allergic rhinitis (AR) literature is necessary to improve understanding and to appropriately translate this knowledge to clinical care of the AR patient. To evaluate the existing AR literature, international multidisciplinary experts with an interest in AR have produced the International Consensus statement on Allergy and Rhinology: Allergic Rhinitis (ICAR:AR).MethodsUsing previously described methodology, specific topics were developed relating to AR. Each topic was assigned a literature review, evidence-based review (EBR), or evidence-based review with recommendations (EBRR) format as dictated by available evidence and purpose within the ICAR:AR document. Following iterative reviews of each topic, the ICAR:AR document was synthesized and reviewed by all authors for consensus.ResultsThe ICAR:AR document addresses over 100 individual topics related to AR, including diagnosis, pathophysiology, epidemiology, disease burden, risk factors for the development of AR, allergy testing modalities, treatment, and other conditions/comorbidities associated with AR.ConclusionThis critical review of the AR literature has identified several strengths; providers can be confident that treatment decisions are supported by rigorous studies. However, there are also substantial gaps in the AR literature. These knowledge gaps should be viewed as opportunities for improvement, as often the things that we teach and the medicine that we practice are not based on the best quality evidence. This document aims to highlight the strengths and weaknesses of the AR literature to identify areas for future AR research and improved understanding

国际过敏与鼻科学共识声明 : 变应性鼻炎

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/1/ICARPrimaryAuthorCOIForms1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/2/ICARSecondaryAuthorCOIForms.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/3/ICARPrimaryAuthorCOIForms2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/4/ICARAuthorCOI2017.8.15.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/5/alr22073_c.pd

国际过敏与鼻科学共识声明 : 变应性鼻炎

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/1/ICARPrimaryAuthorCOIForms1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/2/ICARSecondaryAuthorCOIForms.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/3/ICARPrimaryAuthorCOIForms2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/4/ICARAuthorCOI2017.8.15.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/5/alr22073_c.pd