Sleep

Beverage Co-Consumption Profiles, Sleep, and Fatigue in Professional Army Personnel.

TL;DR

Beverage-frequency co-consumption profiles in Spanish Army personnel clustered into three classes, with the higher-frequency profile cross-sectionally associated with shorter self-reported sleep, lower sleep efficiency, and higher habitual physical fatigue compared with the lower-frequency profile.

Key Findings

Latent class analysis identified three distinct beverage co-consumption profiles among active-duty Spanish Army personnel.

  • Sample consisted of 1155 active-duty Spanish Army personnel in a cross-sectional design.
  • The three-class solution comprised a lower-frequency profile (47.7% of personnel), an intermediate-frequency profile (28.3%), and a higher-frequency profile (24.0%).
  • Classes were estimated from ordinal frequencies of caffeinated beverages, sugar-sweetened beverages, and energy drinks.
  • Indicators represented frequency categories rather than caffeine dose, sugar intake, or standardized serving size.

The higher-frequency beverage profile was associated with significantly shorter self-reported sleep duration compared to the lower-frequency profile.

  • Higher-frequency profile was associated with 0.230 hours less sleep per night compared with the lower-frequency profile (95% CI: -0.416 to -0.045; q = 0.022).
  • The authors characterize this contrast as approximately 13.8 minutes per night.
  • Models adjusted for demographic, occupational, training, hydration, alcohol, smoking, and recruitment-cohort covariates.
  • Adjusted outcome models incorporated classification uncertainty to account for latent class assignment error.

The higher-frequency beverage profile was associated with lower sleep efficiency compared to the lower-frequency profile.

  • Higher-frequency profile was associated with 2.129 percentage points lower sleep efficiency (95% CI: -4.177 to -0.082; q = 0.041).
  • Sleep efficiency was self-reported rather than measured objectively.
  • The authors note that the clinical or perceptible relevance of the sleep-efficiency difference cannot be established from these self-reported measures.
  • Sensitivity analyses were described as directionally consistent with the primary findings.

The higher-frequency beverage profile was associated with greater habitual physical fatigue compared to the lower-frequency profile.

  • Higher-frequency profile was associated with 0.395 points greater habitual physical fatigue (95% CI: 0.077 to 0.714; q = 0.022).
  • Fatigue was self-reported as habitual physical fatigue.
  • The authors note that the clinical or perceptible relevance of the fatigue difference cannot be established from self-reported measures.
  • Intermediate-frequency profile associations were not separately highlighted as statistically significant in the abstract.

The cross-sectional design and self-reported measures preclude causal inference, and the study lacked product-specific dose and timing data.

  • The study is explicitly cross-sectional, preventing establishment of temporality.
  • Beverage frequency indicators represented categories rather than caffeine dose, sugar intake, or standardized serving sizes.
  • Authors call for 'prospective studies with product-specific dose and timing data to establish temporality and practical relevance.'
  • The clinical or perceptible relevance of the sleep-efficiency and fatigue differences 'cannot be established from these self-reported measures.'

What This Means

This research examined how military personnel's beverage drinking habits cluster together and whether these patterns relate to their sleep and fatigue. Among 1,155 active-duty Spanish Army members, researchers used a statistical technique called latent class analysis to group soldiers based on how frequently they consumed caffeinated beverages, sugary drinks, and energy drinks. Three distinct groups emerged: a low-frequency group (about 48% of soldiers), a medium-frequency group (about 28%), and a high-frequency group (about 24%). The high-frequency group consumed all three beverage types more often than the others. This research suggests that soldiers who frequently consumed these beverages together tended to report sleeping about 14 fewer minutes per night, having roughly 2 percentage points lower sleep efficiency, and experiencing more physical fatigue compared to those who consumed these drinks less frequently. These associations held even after accounting for many other factors like age, job type, exercise habits, alcohol use, and smoking. Importantly, the study found patterns across beverage types together rather than isolating any single drink's effect, and it could not determine whether the beverages caused the sleep and fatigue differences or whether fatigued, poor-sleeping soldiers simply reached for more of these drinks. The practical takeaway from this research is limited by the study's design—it captured a single snapshot in time using self-reported data, and the differences observed, while statistically significant, may or may not be large enough to matter in daily life. The beverages were tracked by frequency rather than exact amounts consumed or timing relative to sleep. Future studies that follow soldiers over time and record specific drink types, amounts, and when they are consumed would be needed to better understand whether changing beverage habits could meaningfully improve sleep and reduce fatigue in military populations.

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Citation

Clemente-Suárez V, Florian J, Yáñez-Sepúlveda R, Ceniza-Villacastín J, Tornero-Aguilera J, Martín-Rodríguez A. (2026). Beverage Co-Consumption Profiles, Sleep, and Fatigue in Professional Army Personnel.. Nutrients. https://doi.org/10.3390/nu18172930