Mortality and Associated Factors among Royal Thai Army Personnel with Non-Communicable Diseases

Authors

  • Pitchaya Pattamapornpong Phramongkutklao Hospital
  • Krit Pongpirul Center of Excellence in Preventive and Integrative Medicine (CE-PIM), Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University

Keywords:

non-communicable disease, mortality, soldier, royal thai army

Abstract

Objective: To determine the mortality rate and factors associated with mortality among Royal Thai Army personnel with non-communicable diseases. Methods: A retrospective cohort study was conducted using data from 8,172 Royal Thai Army personnel who underwent annual health examinations between January 2021 and December 2023. The collected data included demographic factors, including sex, age, anthropometric measures (body mass index and waist circumference), underlying diseases, military position, health-related behaviors, and laboratory parameters, including fasting blood sugar (FBS), renal function tests (blood urea nitrogen [BUN] and creatinine), lipid profiles (triglycerides and total cholesterol), serum uric acid, and liver enzymes (AST and ALT). Descriptive statistics and multivariable logistic regression were used to identify factors associated with mortality. Results: The mortality rate was 1.1% among Royal Thai Army personnel with non-communicable diseases. Factors significantly associated with mortality included age ≥55 years (OR = 1.81, p = 0.024), non-commissioned officer rank (OR = 2.50, p = 0.001), diabetes mellitus defined as FBS ≥126 mg/dL (OR = 2.53, p = 0.001), and impaired renal function defined as creatinine ≥1.3 mg/dL (OR = 1.26, p = 0.033). Overweight status (BMI 25–29.9 kg/m²) was associated with a lower risk of death (OR = 0.53, p = 0.017). Conclusion: Among Royal Thai Army personnel with non-communicable diseases, mortality was associated with non-commissioned officer rank, diabetes mellitus, impaired renal function, and age ≥55 years, whereas overweight status was associated with a lower risk of death. These findings may serve as useful baseline information for targeted screening, health monitoring, and surveillance in high-risk personnel, and may support more appropriate health care for Royal Thai Army personnel with non-communicable diseases.

References

กองโรคไม่ติดต่อ กรมควบคุมโรค กระทรวงสาธารณสุข. รายงานประจำปี NCDs 2565. นนทบุรี: สำนักพิมพ์อักษรกราฟฟิคแอนด์ดีไซน์; 2565.

World Health Organization. Noncommunicable diseases [Internet]. 2023 [cited 2023 Sep 16]. Available from: https://shorturl.asia/t75Cu

GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020;396(10258):1223-49.

กรมกำลังพลทหารบก. ฐานข้อมูลการสูญเสียกำลังพลกองทัพบก ปีงบประมาณ 2564-2567. กรุงเทพฯ: กรมกำลังพลทหารบก; 2567.

Bell Ngan W, Essama Eno Belinga L, Essam Nlo'o ASP, Roche F, Goethals L, Mandengue SH, et al. Surveillance of cardiovascular risk factors in the fifth military sector health center, Ngaoundéré, Cameroon: observational study. JMIR Form Res 2020;4(11).

Carey FR, Harbertson J, Sharifian N, Boyko EJ, Rull RP; Millennium Cohort Study Team. All-cause mortality among United States military personnel: findings from the Millennium Cohort Study, 2001-2021. Ann Epidemiol 2024;99:1-8.

Sai XY, He Y, Men K, Wang B, Huang JY, Shi QL, et al. All-cause mortality and risk factors in a cohort of retired military male veterans, Xi'an, China: an 18-year follow up study. BMC Public Health 2007;7:290.

ขนิษฐา กู้ศรีสกุล, ณัฐพัชร์ มรรคา, กนิษฐา บุญธรรมเจริญ. การศึกษาสถานการณ์และพยากรณ์การตายก่อนวัยอันควรจากโรคไม่ติดต่อเรื้อรังในประเทศไทย พ.ศ. 2543–2561 และพยากรณ์ถึง พ.ศ. 2573. วารสารวิจัยระบบสาธารณสุข 2566;17(2):228-41.

Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008.

Hosmer DW, Lemeshow S, Sturdivant RX. Applied logistic regression. 3rd ed. New York: John Wiley & Sons; 2013.

Li CY, Sung FC. A review of the healthy worker effect in occupational epidemiology. Occup Med (Lond) 1999;49(4):225-9.

Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, et al. Body-mass index and cause-specific mortality in 900 000 adults. Lancet 2009;373(9669):1083-96.

Smith TJ, Marriott BP, Dotson L, Bathalon GP, Funderburk L, White A, et al. Overweight and obesity in military personnel. Mil Med 2012;177(8):907-14.

WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications. Lancet 2004;363(9403):157-63.

Stringhini S, Sabia S, Shipley M, Brunner E, Nabi H, Kivimaki M, et al. Socioeconomic position, health behaviours, and mortality. Lancet 2010;372(9650):164-71.

Kress AM, Hartzell MC. A review of chronic disease in military personnel. Mil Med 2015;180(9):877-82.

Sarwar N, Gao P, Seshasai SRK, Gobin R, Kaptoge S, Di Angelantonio E, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease. Lancet 2010;375(9733):2215-22.

American Diabetes Association. Classification and diagnosis of diabetes: standards of medical care in diabetes—2023. Diabetes Care 2023;46(Suppl 1):S19-S40.

Matsushita K, Astor BC, Woodward M, Levey AS, Coresh J, Gansevoort RT, et al. Association of estimated glomerular filtration rate and albuminuria with mortality. Lancet 2010;375(9731):2073-81.

Webster AC, Nagler EV, Morton RL, Masson P. Chronic kidney disease. Lancet 2017;389(10075):1238-52.

Downloads

Published

2026-04-30

How to Cite

1.
Pattamapornpong P, Pongpirul K. Mortality and Associated Factors among Royal Thai Army Personnel with Non-Communicable Diseases. JPMAT [internet]. 2026 Apr. 30 [cited 2026 May 4];16(1):241-59. available from: https://he01.tci-thaijo.org/index.php/JPMAT/article/view/283822

Issue

Section

Original Article