Short sleep duration is associated with a wide variety of medical conditions among United States military service members

Evaluation of sleep health documentation and sleep-related intervention by physiatrists treating musculoskeletal disorders: A retrospective investigation

BACKGROUND

Sleep health is linked to pain, function, and global health. Unfortunately, sleep health may not be consistently addressed as a part of musculoskeletal care.

OBJECTIVE

To describe the frequency of sleep health documentation and intervention by musculoskeletal physiatrists. Additionally, patient-reported outcome measures were compared between patients with and without sleep impairment. We hypothesized that sleep health is documented and addressed in less than half of initial patient encounters and that patients with a sleep impairment have worse patient-reported outcomes scores compared to those without sleep impairment.

DESIGN

Retrospective study.

SETTING

Tertiary orthopedic hospital.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Frequency of provider documentation of sleep health, frequency and characteristics of sleep health intervention provided, and Patient-Reported Outcome Measurement Information System (PROMIS)-10 mental health and physical health scores.

RESULTS

Initial visits for a musculoskeletal condition of 39,452 patients from January 1, 2020 to October 1, 2022 were included. Documentation of sleep health was found in 33.0% (13,002/39,452) of patients. Of those with sleep health documentation, 59.2% (7697/13,002) were classified as having a sleep impairment. Only 19.0% of patients were provided with sleep-related education or other intervention. Patients with a sleep impairment had worse PROMIS-10 mental health and physical health scores (p < .001), as compared to those without a sleep impairment.

CONCLUSIONS

Patients with sleep impairment had worse mental and physical health scores than those without sleep impairment, and only 19.0% received sleep health intervention. These data suggest that sleep impairment is common in patients presenting for evaluation of a musculoskeletal condition, and advanced provider education and tools to help patients improve their sleep health are needed.

Health behavior profiles and association with mental health status among US active-duty service members

Introduction

This study investigated the clustering of health behaviors among US active duty servicemembers (ADSM) into risk profiles and explored the association between these profiles with ADSM sociodemographic characteristics and mental health status.

Methods

This study utilized secondary data from the 2018 Health Related Behaviors Survey (HRBS), a Department of Defense (DoD) self-administered online survey. Health behaviors included physical activity, screen use, sleep habits, tobacco/substance use, alcohol drinking, preventive health care seeking and condom use at last sex/having multiple sexual partners. Past-year mental health status was measured using the Kessler Screening Scale for Psychological Distress (K6). Latent class analysis (LCA) on health behaviors was used to cluster ADSMs into risk profiles. Multivariable logistic model was used to examine whether ADSM characteristics and mental health status were associated with ADSMs' risk profiles.

Results

The LCA identified a four-class model that clustered ADSMs into the following sub-groups: (1) Risk Inclined (14.4%), (2) High Screen Users (51.1%), (3) Poor Sleepers (23.9%) and (4) Risk Averse (10.6). Over a tenth (16.4%) of ADSMs were categorized as having serious psychological distress. Being male, younger, less educated, in the Army, Marine Corps or Navy were associated with higher odds of being Risk Inclined (AOR ranging from 1.26 to 2.42). Compared to the reference group of Risk Adverse ADSMs, those categorized as Risk Inclined (AOR: 8.30; 95% CI: 5.16-13.36), High Screen Users (AOR: 2.44; 95% CI: 1.56-3.82) and Poor Sleepers (AOR: 5.26; 95% CI: 3.38-8.19) had significantly higher odds of having serious psychological distress.

Discussion

Study findings suggest opportunities to tailor behavioral and health promotion interventions for each of the distinct risk profiles. For example, ADSM described as Risk Inclined may benefit from preventive mental health services. Solutions for ADSM described as Poor Sleepers may include education on sleep hygiene; instituting duty schedules; and shifting military cultural norms to promote sleep hygiene as a pathway to optimal performance and thus military readiness. ADSM with low-risk behavior profiles such as those described as Risk Averse may prove beneficial in the roll-out of interventions as they act as peer-educators or mentors.