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All Journal Althea Medical Journal Jurnal Kesehatan Masyarakat
Lians, Airine Stefanie
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Education Medicine & Pharmacology Public Health

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Yoga Reduces Body Shape Dissatisfaction Among Young Adults Lians, Airine Stefanie; Handayani, Maria Dara Novi; Dewi, Angela Shinta; Lilis, Lilis
Althea Medical Journal Vol 12, No 2 (2025)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/amj.v12n2.3737

Abstract

Background: Body shape dissatisfaction is frequently experienced by young adults and may negatively impact mental well-being.  Yoga is increasingly recognized as a non-pharmacological intervention to support body image and self-acceptance. This study aimed to assess the effectiveness of yoga in reducing body shape dissatisfaction among young adults.Methods: A pre-post experimental study was conducted in 2022 among young adults experiencing body shapes dissatisfaction, selected through purposive sampling. The Body Shape Questionnaire-34 (BSQ-34) was used to measure dissatisfaction, with a total score >80 indicating dissatisfaction. Participants were randomly assigned to a yoga intervention group or a control group. The intervention group practiced Yoga Asana (posture) and Pranayama (breathing) three times per week for ten weeks via online sessions.  The BSQ-34 was distributed before and after intervention. Data were analyzed using paired t-test and SPSS version 22.0. Results: A total of 477 participants from a faculty of medicine in Jakarta, Indonesia were included; 45.3% were identified as dissatisfied with their body shape. In the yoga group, the BSQ-34 score significantly decreased after the intervention (p <0.05), indicating reduced dissatisfaction. In contrast, the control group showed a slight increase in average BSQ-34 score.Conclusions: Practicing Yoga Asana and Pranayama significantly reduce body shape dissatisfaction among young adults. Therefore, yoga may serve as a healthy choice that helps improve body image and overall mental well-being in young adults.
Artificial Intelligence in Type II Diabetes Mellitus: Screening, Treatment, and Complication Lians, Airine Stefanie; Tunru, Andi Miyanza Rezkyawan Lakipadada; Chindia, Chindia; Prasetyo, Juan Alexandra; Kie, Justin; Christian, Raffael; Sean, Sherlyn; Larasati, Victoria; Yen, Liauw Djai
Jurnal Kesehatan Masyarakat Vol. 20 No. 4 (2025)
Publisher : Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v20i4.1138

Abstract

Type II diabetes mellitus is one of the chronic metabolic diseases that are associated with insulin resistance. Type II diabetes mellitus incidence continues to increase each year and may cause various health complications, even death. Addressing early detection and appropriate treatment is important in decreasing the incidence of type II diabetes mellitus and improving the quality of life in diabetic patients. The potential of artificial intelligence in healthcare is expected to assist in screening, therapy management, and even detection of type II diabetes mellitus complications. Despite limited literature, this study aims to understand the benefit of AI in assisting health workers in screening and managing type II diabetes mellitus. Searches are conducted with search engines, such as PubMed, Science Direct, and Google Scholar, with the keywords “Artificial Intelligence” and “Diabetes Mellitus Type 2”, as well as their synonyms. The search results in twenty English and Indonesian studies were published in the last ten years. These various studies found that many Artificial intelligence models developed to assist in screening, therapy management, and detect complications in patients with type II diabetes mellitus.
Co-Authors Chindia, Chindia Christian, Raffael Dewi, Angela Shinta Kie, Justin Larasati, Victoria Lilis, Lilis Maria Dara Novi Handayani, Maria Dara Novi Prasetyo, Juan Alexandra Sean, Sherlyn Tunru, Andi Miyanza Rezkyawan Lakipadada Yen, Liauw Djai