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ORIGINAL RESEARCH

Impact of Sleep Profiles on Multimorbidity Among US Active-Duty Service Members in the 2018 Health-Related Behaviors Survey

ORCID Icon, ORCID Icon &
Pages 1019-1032 | Received 07 Sep 2023, Accepted 23 Nov 2023, Published online: 05 Dec 2023

Figures & data

Table 1 Sociodemographic Characteristics, Medical Conditions, Sleep Behaviors, and Profiles of the HRBS Population

Table 2 Prevalence of Chronic Diseases and Multimorbidity by Sleep-Related Health Behaviors and Profiles

Table 3 Adjusted Odds Ratio of Obesity Only, Hyperlipidemia Only, Hypertension Only, and Multimorbidity Compared to No Medical Condition

Table 4 Medical Conditions Rate Across Different Sleep Profiles

Figure 1 The trend and the association between sleep duration (hours per night) with prevalence (%) of multimorbidity: 2011, 2015, and 2018 HRBS. Sleeping ≤ 6 hours per night is associated with higher prevalences of multimorbidity in 2011, 2015, and 2018 HRBS.

Figure 1 The trend and the association between sleep duration (hours per night) with prevalence (%) of multimorbidity: 2011, 2015, and 2018 HRBS. Sleeping ≤ 6 hours per night is associated with higher prevalences of multimorbidity in 2011, 2015, and 2018 HRBS.

Figure 2 Latent class analysis (LCA) identified three unobservable sleep profiles in ADSMs: minimal or low-risk sleep patterns (37.43%), moderate-risk sleep patterns (31.11%), and high-risk sleep patterns (31.46%).

Figure 2 Latent class analysis (LCA) identified three unobservable sleep profiles in ADSMs: minimal or low-risk sleep patterns (37.43%), moderate-risk sleep patterns (31.11%), and high-risk sleep patterns (31.46%).

Figure 3 Compared to the minimal or low-risk sleep patterns group, the high-risk sleep patterns group had significantly greater prevalence estimates (%) of chronic conditions.

Figure 3 Compared to the minimal or low-risk sleep patterns group, the high-risk sleep patterns group had significantly greater prevalence estimates (%) of chronic conditions.