Who seeks bariatric surgery? Psychosocial functioning among adolescent candidates, other treatment-seeking adolescents with obesity and healthy controls.
Christine C CallM J DevlinIlene FennoyJ L ZitsmanB T WalshR SyskoPublished in: Clinical obesity (2017)
Limited data are available on the characteristics of adolescents with obesity who seek bariatric surgery. Existing data suggest that adolescent surgery candidates have a higher body mass index (BMI) than comparison adolescents with obesity, but the limited findings regarding psychosocial functioning are mixed. This study aimed to compare BMI and psychosocial functioning among adolescent bariatric surgery candidates, outpatient medical-treatment-seeking adolescents with obesity (receiving lifestyle modification), and adolescents in the normal-weight range. All adolescents completed self-report measures of impulsivity, delay discounting, depression, anxiety, stress, eating pathology, family functioning and quality of life, and had their height and weight measured. Adolescent surgical candidates had higher BMIs than both comparison groups. Surgical candidates did not differ from medical-treatment-seeking adolescents with obesity on any measure of psychosocial functioning, but both groups of adolescents with obesity reported greater anxiety and eating pathology and poorer quality of life than normal-weight adolescents. Quality of life no longer differed across groups after controlling for BMI, suggesting that it is highly related to weight status. Adolescents with obesity may experience greater anxiety, eating pathology, and quality of life impairments than their peers in the normal-weight range regardless of whether they are seeking surgery or outpatient medical treatment. Clinical implications and directions for future research are discussed.
Keyphrases
- weight loss
- young adults
- bariatric surgery
- physical activity
- body mass index
- weight gain
- mental health
- metabolic syndrome
- insulin resistance
- type diabetes
- obese patients
- high fat diet induced
- healthcare
- sleep quality
- childhood cancer
- cardiovascular disease
- electronic health record
- coronary artery disease
- machine learning
- depressive symptoms
- current status
- atrial fibrillation
- drug induced