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The Effects of Lighting Design on Mood, Attention, and Stress

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The Effects of Lighting Design on Mood, Attention, and Stress ( the-effects-lighting-design-mood-attention-and-stress )

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30 4.1.1.2 Weather Patterns Although SAD manifests most clearly during the winter on cloudy, sunless days, there was not uniform, cloudy weather during the time of the experiment. A few days when sessions were scheduled it snowed. There were also quite a few days when the sun was out. Change in the weather patterns may have influenced participants’ mood or levels of stress, causing extra variation in the dataset. In order to avoid such variation in the data, future studies should make an effort to run participants in mid-winter, rather than late winter, as this experiment did. 4.1.1.3 Time of Day Participants also completed the experimental sessions during various times of day. Although each participant was run on the same day each week, very few participants came in at the same time each day (due to scheduling conflicts). Most participants were scheduled during the daytime and only three were scheduled during the evenings, when effects would presumably be stronger and easier to detect because of the impact of blue light on circadian rhythms. This may be why the blue light condition showed such a marked difference from the hypothesized result on the POMS-SF Fatigue scale (see Figure 8 in section 3.1). Without the marked changes that come from a shift in melatonin production, identifying effects of lethargy would be more difficult. In future studies, it would be prudent to schedule sessions in the evening rather than during the day in order to more accurately see the effects of the lights on fatigue and possible melatonin suppression. 4.1.1.4 Time of Semester It is also important to note that the study took place at an academically rigorous college where participants’ workloads shifted week-to-week. Data collection took place over several weeks of school, a normal week of school, a week of midterms, and partially into spring break. With this much variation in workload, it is possible that stress and unregulated sleep patterns may have also affected the data. The week immediately before spring break is often more likely to have various projects, papers, and tests due. Because of this, students are more likely to be stressed and have atypical sleep schedules as they

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