A systematic review and qualitative synthesis of weight management interventions for people with spinal cord injury.
Claire Deborah MadiganJames A KingCarolyn TaylorSven P HoekstraHenrietta Emily GrahamNatasha KirkJordan M FentonVictoria Louise Goosey-TolfreyPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2024)
People with spinal cord injury (SCI) are at greater risk of developing obesity and related co-morbidities than those without SCI. The objectives of this systematic review were to examine the effectiveness of weight management interventions for people with SCI and to synthesize the experiences of people involved with SCI weight management (e.g., SCI healthcare professionals and caregivers). Five databases were searched (up to July 31, 2023) and 5,491 potentially eligible articles were identified. Following screening, 22 articles were included, comprising 562 adults. There was considerable heterogeneity in study design and weight loss interventions included behavioral nutritional and exercise education sessions, recalling food diaries, exercise interventions, and pharmaceuticals. The mean percentage change of the pooled body mass data equated to -4.0 ± 2.3%, with a range from -0.5 to -7.6%. In addition, 38% of the individuals with SCI who completed a weight loss intervention (N = 262) had a ≥5% reduction in body weight. Collectively, although on average the included interventions led to moderate weight loss, the finding that just over a third of individuals achieved clinically meaningful 5% weight loss suggests that available interventions for this population may need to be improved.
Keyphrases
- weight loss
- physical activity
- bariatric surgery
- spinal cord injury
- systematic review
- roux en y gastric bypass
- body weight
- gastric bypass
- randomized controlled trial
- high intensity
- weight gain
- body mass index
- type diabetes
- glycemic control
- obese patients
- healthcare
- mental health
- risk assessment
- clinical trial
- body composition
- resistance training
- quality improvement
- big data
- skeletal muscle