LIFESTYLE-RELATED PREDICTORS OF TESTOSTERONE DEFICIENCY AMONG MALE PATIENTS WITH CHRONIC SPINAL CORD INJURY

Anil Kumar  Sharma; Om Prakash; Mahala Urmila; Parihar Ritika

doi:10.22159/ajpcr.2023.v16i7.47101

Authors

Anil Kumar Sharma Department of Physical Medicine and Rehabilitation, SMS Medical College, Jaipur, Rajasthan, India. https://orcid.org/0000-0002-4167-1682
Om Prakash Department of Obstetrics and Gynecology, SMS Medical College, Jaipur, Rajasthan, India. https://orcid.org/0000-0003-3700-2029
Mahala Urmila Department of Physical Medicine and Rehabilitation, SMS Medical College, Jaipur, Rajasthan, India.
Parihar Ritika Department of Physical Medicine and Rehabilitation, SMS Medical College, Jaipur, Rajasthan, India. https://orcid.org/0000-0001-5668-0998

DOI:

https://doi.org/10.22159/ajpcr.2023.v16i7.47101

Keywords:

Chronic spinal cord injury, Low testosterone, Independent predictors, Leisure-time physical activity score, Aging male’s symptom score

Abstract

Objectives: In the current study, the author evaluated the prevalence of low testosterone and its independent predictors among male patients with chronic spinal cord injury (SCI).

Design: This descriptive type of observational study was conducted in the department of PMR at SMS Medical College.

Methods: In this cross-sectional study, 120 patients with chronic SCI were recruited, serum testosterone levels were assessed, and testosterone levels below 300 ng/dL were considered low. The following eight suspected independent predictors for low testosterone levels were assessed: age, body mass index (BMI), nicotine users, total lipid profile, level of injury, American Spinal Injury Association (ASIA) impairment scale, leisure-time physical activity (LTPA) score (h/week) via LTPA questionnaire, and aging male’s symptom (AMS) score via AMS questionnaire.

Results: The mean age of the patients was 33.2±7.8 years. Patients with low testosterone exhibited a significant association with dorsal SCI (70.9%), motor complete (ASIA A and B) SCI (76.4%), nicotine use (65.5%), a higher triglyceride (TG) level (168.5 mg/dL), a higher total lipid level (712.9 mg/dL), and a higher AMS score (35.7). Patients with low testosterone were found to be engaged in lower (9.4 h/week) LTPA. A significant negative correlation of total testosterone levels was observed with TG (r=−0.184, p=0.044), total lipid (r=−0.570, p<0.001), BMI (r=−0.504, p<0.001), and AMS scores (r=−0.549, p<0.001). Whereas there was a significant positive correlation observed between total testosterone and LTPA (r=0.380, p<0.001).

Conclusion: The prevalence of low testosterone is found at 45.8%, and BMI, LPTA, AMS, and total lipids are identified as independent predictors of low testosterone.

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