Factors Correlated with Body Image Dissatisfaction in Children and Adolescents Diagnosed with HIV: A Cross-Sectional Study.
Suellem ZanlorenciMichele Caroline de SouzaCilene Rebolho MartinsLuiz Rodrigo Augustemak de LimaDiego Augusto Santos SilvaPublished in: International journal of environmental research and public health (2022)
(1) Background: The adverse effects of continuous use of antiretroviral therapy can generate dissatisfaction with body image in children and adolescents diagnosed with Human Immunodeficiency Virus infection (HIV) infection. The aim of this study was to verify the prevalence and factors associated with body image dissatisfaction (BI) in children and adolescents diagnosed with HIV infection; (2) This is a cross-sectional study with 60 children and adolescents (32 females; 28 males) aged 8-15 years diagnosed with HIV, carried out in Florianópolis, Brazil. Information on BI was collected through a silhouette scale, as well as sociodemographic information, biological maturation, lifestyle, self-esteem, adherence to antiretroviral treatment and aspects of HIV infection; (3) Results: The results indicated that 53.13% of female patients and 53.57% of male patients were dissatisfied with their BI. Lower subscapular skinfold and higher calf skinfold values were associated with BI dissatisfaction in females. Pre-pubertal maturation stage, higher economic level, lower concentrations of CD4+ lymphocytes, lower viral load, lower level of physical activity and longer time in front of the computer and/or video game were associated with BI dissatisfaction in males; (4) Conclusions: BI dissatisfaction was observed in more than half of patients and morphological, economic, behavioral and HIV infection aspects were associated with BI dissatisfaction.
Keyphrases
- antiretroviral therapy
- hiv infected
- physical activity
- hiv positive
- end stage renal disease
- human immunodeficiency virus
- newly diagnosed
- ejection fraction
- hiv aids
- hiv infected patients
- chronic kidney disease
- prognostic factors
- risk factors
- healthcare
- type diabetes
- cardiovascular disease
- hepatitis c virus
- skeletal muscle
- metabolic syndrome
- adipose tissue
- insulin resistance
- social media
- sleep quality
- health information
- deep learning
- patient reported
- life cycle
- replacement therapy
- nk cells
- electronic health record
- weight loss