Claim Missing Document
Check
Articles

Found 3 Documents
Search

Height Estimation Based on Foot Length and Breadth in Children, Teenager, and Adult in Bandung City, Indonesia Sani Tanzilah; Noorman Herryadi; Andri A. Rusman
Journal of Medicine and Health Vol. 1 No. 4 (2016)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.964 KB) | DOI: 10.28932/jmh.v1i4.532

Abstract

Stature estimation is important for forensic identification, particularly in dismembered body. The equation used to estimate the height of a population is not necessarily applicable to other populations (population spesific). This study was conducted to generate the linear regression equation for stature estimation based on foot length and foot breadth on the population in the city of Bandung.  This cross-sectional study is conducted to 908 people, consisting of three age groups (children, adolescents, adults), in the city of Bandung. Sampling was done by multistage sampling. The stature was measured using a stadiometer SECA 213, right foot length (RFL), right foot breadth ( RFB), left foot length (LFL), and left foot breadth (LFB) were measured using sliding calipers. Data were analyzed with SPSS version 21.0 for Windows. There is correlation between height with the RFL, RFB, LFL, and LFB. In contrast to the group of teenagers and adults, there is no boys-girls difference between height, RFL, RFB, LFL, and LFB. 21 regression equation for stature estimation based on the foot size. Stature estimation can be done using the linear regression equation based on the foot length and foot breadth, according to population, gender, and age of the subject being examined. Key words: height estimation, foot length, foot breadth
Height Estimation Based on Foot Length and Breadth in Children, Teenager, and Adult in Bandung City, Indonesia Sani Tanzilah; Noorman Herryadi; Andri A. Rusman
Journal of Medicine and Health Vol 1 No 4 (2016)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jmh.v1i4.532

Abstract

Stature estimation is important for forensic identification, particularly in dismembered body. The equation used to estimate the height of a population is not necessarily applicable to other populations (population spesific). This study was conducted to generate the linear regression equation for stature estimation based on foot length and foot breadth on the population in the city of Bandung.  This cross-sectional study is conducted to 908 people, consisting of three age groups (children, adolescents, adults), in the city of Bandung. Sampling was done by multistage sampling. The stature was measured using a stadiometer SECA 213, right foot length (RFL), right foot breadth ( RFB), left foot length (LFL), and left foot breadth (LFB) were measured using sliding calipers. Data were analyzed with SPSS version 21.0 for Windows. There is correlation between height with the RFL, RFB, LFL, and LFB. In contrast to the group of teenagers and adults, there is no boys-girls difference between height, RFL, RFB, LFL, and LFB. 21 regression equation for stature estimation based on the foot size. Stature estimation can be done using the linear regression equation based on the foot length and foot breadth, according to population, gender, and age of the subject being examined. Key words: height estimation, foot length, foot breadth
Pathophysiology of Atherosclerosis Formation in Autoimmune Diseases: Rheumatoid Arthritis, Systemic Lupus Erythematosus, Primary Sjögren’s Syndrome, and Antiphospholipid Syndrome Pranaja, Dwi Aryasatya; Anita Liliana Susanti; Andri A. Rusman
Health & Medical Sciences Vol. 3 No. 1 (2025): November
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/phms.v3i1.556

Abstract

This study aimed to systematically examine the autoimmune mechanisms contributing to atherosclerosis development in patients with Rheumatoid Arthritis, Systemic Lupus Erythematosus, Sjögren’s syndrome, and Antiphospholipid Syndrome. The focus was on identifying immunological pathways, inflammatory mediators, and vascular changes that accelerate atherosclerosis in these autoimmune conditions. A systematic scoping review was conducted following established scoping review guidelines. Peer-reviewed studies on immune-mediated processes, endothelial dysfunction, lipid changes, or cardiovascular outcomes in autoimmune diseases were sourced from PubMed, Scopus, and Web of Science, screened via electronic searches and predefined inclusion criteria. Data extraction focused on immune cell involvement, cytokine profiles, mechanisms of vascular injury, and indicators of atherosclerotic progression.The results demonstrated that chronic systemic inflammation is a central mechanism driving accelerated atherosclerosis in autoimmune diseases. Activated immune cells, particularly monocytes, macrophages, and T lymphocytes, were consistently reported to infiltrate the vascular endothelium, promoting endothelial dysfunction and intimal thickening. Pro-inflammatory cytokines such as tumor necrosis factor-alpha and interferon-gamma were frequently associated with increased expression of adhesion molecules, oxidative stress, and foam cell formation. Altered lipid metabolism, including increased levels of oxidized low-density lipoprotein, further contributed to plaque development. In Antiphospholipid Syndrome, autoantibody-mediated endothelial injury and thrombogenic processes were prominent, while immune complex deposition and complement activation were key contributors in Systemic Lupus Erythematosus. Overall, the findings indicate that immune dysregulation and persistent inflammation substantially increase cardiovascular risk in patients with autoimmune diseases, underscoring the need for targeted anti-inflammatory and immunomodulatory strategies to reduce atherosclerotic burden