Association of Obesity and Bariatric Surgery on Hair Health.
Katarzyna SmolarczykBlazej MeczekalskiEwa RudnickaKatarzyna SuchtaAnna SzeligaPublished in: Medicina (Kaunas, Lithuania) (2024)
Obesity and obesity-related conditions today constitute a public health problem worldwide. Obesity is an "epidemic" chronic disorder, which is defined by the WHO as normal or excessive fat accumulation that may impair health. It is also defined for adults as a BMI that is greater than or equal to 30. The most common obesity-related diseases are type 2 diabetes mellitus, cardiovascular diseases, metabolic syndrome, chronic kidney disease, hyperlipidemia, hypertension, nonalcoholic fatty liver disease, and certain types of cancer. It has been also proven that obesity can have a negative effect on hair. It can lead to hair thinning. Patients with obesity can undergo bariatric surgery if they meet the inclusion criteria. The four common types of weight loss surgery include a duodenal switch with biliopancreatic diversion, laparoscopic adjustable gastric banding, Roux-en-Y gastric bypass, and sleeve gastrectomy. Bariatric surgery can affect skin and hair and is associated with telogen effluvium due to weight loss, microelement deficiency, anesthesia, low calorie intake, and low protein intake. Patients who undergo bariatric surgery can experience post-bariatric surgery depression. Hair loss can have a major impact on self-esteem, negatively affecting one's self-image. The purpose of this narrative review is to critically review how obesity, obesity-related diseases, and bariatric surgery affect hair health in general and the hair development cycle, and how they influence hair loss.
Keyphrases
- weight loss
- bariatric surgery
- roux en y gastric bypass
- gastric bypass
- obese patients
- metabolic syndrome
- public health
- weight gain
- glycemic control
- insulin resistance
- healthcare
- chronic kidney disease
- blood pressure
- type diabetes
- high fat diet induced
- mental health
- cardiovascular disease
- squamous cell carcinoma
- health information
- minimally invasive
- risk assessment
- adipose tissue
- atrial fibrillation
- fatty acid
- social media
- small molecule
- deep learning
- body mass index
- coronary artery disease
- machine learning
- acute coronary syndrome
- skeletal muscle
- health promotion