Sleep inertia and the role of caffeine
, Summary
Objective: The current study aimed to (1) show an association between sleep inertia and caffeine
consumption in a study population of both males and females of 41 to 43 years old from Amsterdam
and to (2) show if this association was influenced by gender.
Method: A cross-sectional study was performed using Dataset 2 from The Amsterdam Growth and
Health Longitudinal Study. The association between sleep inertia and caffeine consumption and
effect modification by gender were analyzed by logistic regression. Caffeine consumption was
included as dichotomous variable (no caffeine consumption and caffeine consumption).
Results: For females, the odds on experiencing sleep inertia for caffeine consumers were 1.154
(95%-CI [0.505 – 2.635]) times higher compared to non-caffeine consumers. For males, the odds
were 0.931 (95%-CI [0.300 – 2.889]). Accordingly, the association between sleep inertia and caffeine
consumption did not significantly differ between males and females (p = 0.764).
Conclusion: In the current study it was not possible to show an association between sleep inertia
and caffeine consumption. Additionally, it was not possible to indicate gender as effect modifier.
Further research on this matter is required in order to clarify the effects of caffeine on sleep inertia
following a normal night’s sleep.
, Summary
Objective: The current study aimed to (1) show an association between sleep inertia and caffeine
consumption in a study population of both males and females of 41 to 43 years old from Amsterdam
and to (2) show if this association was influenced by gender.
Method: A cross-sectional study was performed using Dataset 2 from The Amsterdam Growth and
Health Longitudinal Study. The association between sleep inertia and caffeine consumption and
effect modification by gender were analyzed by logistic regression. Caffeine consumption was
included as dichotomous variable (no caffeine consumption and caffeine consumption).
Results: For females, the odds on experiencing sleep inertia for caffeine consumers were 1.154
(95%-CI [0.505 – 2.635]) times higher compared to non-caffeine consumers. For males, the odds
were 0.931 (95%-CI [0.300 – 2.889]). Accordingly, the association between sleep inertia and caffeine
consumption did not significantly differ between males and females (p = 0.764).
Conclusion: In the current study it was not possible to show an association between sleep inertia
and caffeine consumption. Additionally, it was not possible to indicate gender as effect modifier.
Further research on this matter is required in order to clarify the effects of caffeine on sleep inertia
following a normal night’s sleep.
