Obesity is associated with musculoskeletal pain and osteoarthritis. This study compares the prevalence of work-restricting musculoskeletal pain in an obese and a general population and investigates changes in the incidence of and recovery from musculoskeletal pain after bariatric surgery or conventional obesity treatment. A random sample of 1135 subjects from a general population was compared with 6328 obese subjects in the Swedish obese subjects (SOS) study. For the obese subjects, information about musculoskeletal pain was also collected 2 and 6 years after obesity surgery or the start of non-surgical treatment. In both sexes, self-reported work-restricting pain in the neck and back area and in the hip, knee and ankle joints was more common in the obese subjects than in the general population (odds ratios (ORs) ranging from 1.7 to 9.9, P<0.001). Operated obese women had a lower incidence of work-restricting pain in the knee and ankle joints compared with the conventionally treated control group over 2 and 6 years (ORs 0.51-0.71). Among subjects reporting symptoms at baseline, the recovery rate for pain in the knee and ankle joints in men and pain in the neck and back and in the hip, knee and ankle joints in women improved in the surgical group compared with the control group after 2 years (ORs 1.4-4.8). Obese subjects have more problems with work-restricting musculoskeletal pain than the general population. Surgical obesity treatment reduces the long-term risk of developing work-restricting musculoskeletal pain and increases the likelihood of recovering from such pain.

Surgically induced weight loss in patients with severe obesity is associated with a marked relief in symptoms of dyspnea and chest pain and promotes increased leisure-time physical activity. Sleep-disordered breathing may be involved in the pathophysiology of breathlessness and chest discomfort in obese subjects.

SummaryThe aim of this study was to describe the development and implementation of a multifaceted, low-fat, weight-loss strategy for a Pan-European randomized controlled dietary intervention study, Diogenes. There were 891 families with at least one overweight/obese parent who underwent screening. Eligible, overweight/ obese adults followed an 8-week weight-loss phase with a fixed low-energy diet (800 kcal). On attaining weight loss of Ն8%, families were randomized to a 6-or 12-month low-fat (25-30%E) diet either based on national dietary guidelines or one of four interventions: low protein (LP)/low glycaemic index (LGI), LP/high GI (HGI), high protein (HP)/LGI and HP/HGI. The impact of each diet in preventing weight (re)gain was tested. A points-based system was used to manipulate dietary protein and carbohydrate. Manipulating carbohydrate composition involved substituting foods with a relatively high or low GI. A questionnaire was designed and completed by study investigators, providing feedback on the dietary intervention methods used to inform future interventions. The points system allowed macronutrient manipulations without compromising dietary flexibility or enforcing energy restrictions. Reported centre/participant differences in the ease of implementing the intervention may reflect dietary diversity and personal preferences for specific weight-management strategies. The points system provides a useful starting point for designing improved experimental paradigms for the manipulation of dietary intake in future trials.

The association between dietary energy density, increased energy intake and weight gain is supported by experimental evidence, but confirmation of an effect in free-living humans is limited. Experimental evidence supports a role of energy density in obesity through changes in food composition, not drinks consumption. The inclusion of drinks in the calculation creates a variable of questionable validity and has a substantive impact on the estimated energy density of the diet. We posit, based on the experimental evidence, that calculating the energy density of diets by excluding drinks and including calories from drinks as a covariate in the analysis is the most valid and reliable method of testing the relationship between energy density and weight gain in free-living humans. We demonstrate, by systematically reviewing existing observational studies of dietary energy density and weight gain in free-living humans, how current variation in the method for calculating energy density hampers the interpretation of these data. Reaching an a priori decision on the appropriate methodology will reduce the error caused by multiple comparisons and facilitate meaningful interpretation of epidemiological evidence to inform the development of effective obesity prevention strategies.