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Swedish obese subjects (SOS): an obesity intervention study with a nutritional perspective

Artikel i vetenskaplig tidskrift
Författare Lauren Lissner
Anna-Karin Lindroos
Lars Sjöström
Publicerad i European Journal of Clinical Nutrition
Volym 52
Sidor 316-322
Publiceringsår 1998
Publicerad vid Institutionen för samhällsmedicin, Avdelningen för allmänmedicin
Institutionen för invärtesmedicin, Avdelningen för kroppssammansättning och metabolism
Sidor 316-322
Språk en
Ämneskategorier Folkhälsomedicinska forskningsområden

Sammanfattning

Department of Internal Medicine, Sahlgrenska University Hospital, Göteborg, Sweden. OBJECTIVES: Swedish Obese Subjects (SOS) is a multidisciplinary project involving aspects of obesity ranging from description of the severely obese state to effects of surgical intervention on long-term mortality and morbidity. Dietary studies, which represent an integral part of SOS research activities, are the focus of this review. SUBJECTS AND METHODS: Due to the large number of obese subjects included in the SOS data bases ( > 5000), an early priority of the project was to develop a dietary assessment method which: (i) described usual intake patterns; (ii) could be self-administered by subjects and rapidly processed; and (iii) was equally valid in obese and non-obese individuals. RESULTS: The SOS method has met these requirements and is now being completed by all subjects at baseline and during the intervention, and by a non-obese reference population. A number of dietary features distinguishing obese subjects have emerged, including: elevated intakes of energy and energy-percent fat; low consumption of alcohol, fruits and vegetables; high dietary disinhibition; frequent consumption of light meals and snacks; and night eating. In the surgical intervention group, a relatively high consumption of sweet foods was associated with better weight loss and maintenance. CONCLUSIONS: The SOS method appears to be less susceptible to obesity-related under-reporting than traditional dietary methods, and if the distribution of foods and nutrients can be assumed to be as unbiased as the energy intakes, this method should make it possible to capture associations between diet and obesity-related diseases in the future. PMID: 9630380 [PubMed - indexed for MEDLINE]

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