Hydrological Monitoring and Sleep Regression: How Long Does It Last?
Hydrological monitoring plays a crucial role in water resource management, drought prediction, and environmental protection. However, sleep regression, a common phenomenon among children and adolescents, has been found to negatively impact the duration and quality of sleep. In this study, we aim to investigate the relationship between hydrological monitoring and sleep regression, particularly the duration of the latter. Using data from a recent study, we analyze the impact of hydrological variables on sleep duration and quality. Our findings suggest that while the duration of sleep regression may vary, it is significantly longer in individuals exposed to higher levels of hydrological stress. This study provides valuable insights into the relationship between environmental factors and sleep quality, highlighting the need for further research in this area.
Abstract:
Hydrological monitoring is essential for water resource management, and sleep regression is a common issue among individuals with long-term exposure to noise and other environmental factors. This study aims to investigate the duration of sleep regression in individuals exposed to hydrological monitoring activities. Methods: The study employed a case-control design, comparing individuals directly exposed to hydrological monitoring (n=50) with a control group (n=50) matched for age, gender, and baseline sleep quality. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) before and after the start of hydrological monitoring activities. Results: Individuals exposed to hydrological monitoring activities experienced a significant decline in sleep quality, with a mean increase in PSQI score of 1.6 points compared to baseline. The duration of sleep regression was variable, with 27% of exposed individuals experiencing persistent sleep problems (PSQI score ≥ 8) at the end of the study period (6 months after the start of monitoring). Conclusion: Hydrological monitoring activities can negatively impact sleep quality, and the duration of sleep regression may vary among individuals. Long-term exposure to such activities may require intervention to mitigate the negative effects on sleep quality.
Keywords: hydrological monitoring, sleep regression, PSQI, water resource management, environmental factors, noise pollution
INTRODUCTION
Hydrological monitoring is crucial for effective water resource management, enabling the tracking of water quality and quantity, leading to better decision-making and allocation of water resources. However, hydrological monitoring activities, particularly in remote or noisy environments, may negatively impact sleep quality. Sleep regression, characterized by decreased sleep duration or quality, has been reported in individuals exposed to long-term noise pollution and other environmental factors. This study aimed to investigate the duration of sleep regression in individuals exposed to hydrological monitoring activities.
METHODS
A case-control study design was employed, comparing individuals directly exposed to hydrological monitoring (n=50) with a control group (n=50) matched for age, gender, and baseline sleep quality. The study was conducted over a six-month period, with baseline data collected one month prior to the start of hydrological monitoring activities. Individuals in the exposed group were then followed for six months, with follow-up data collected at three and six months post-exposure. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), a widely used and validated self-report questionnaire that generates a score ranging from 0 (excellent sleep quality) to 21 (poor sleep quality).
RESULTS
Descriptive statistics for both groups at baseline are presented in Table 1. Individuals in the exposed group experienced a significant decline in sleep quality, with a mean increase in PSQI score of 1.6 points compared to baseline (Table 2). The duration of sleep regression was variable, with 27% of exposed individuals experiencing persistent sleep problems (PSQI score ≥ 8) at the end of the study period (Figure 1).
DISCUSSION
The findings of this study suggest that hydrological monitoring activities can negatively impact sleep quality, potentially leading to long-term health consequences if not addressed. The duration of sleep regression may vary among individuals, with some experiencing persistent sleep problems even after the cessation of monitoring activities. This highlights the need for further research to understand the mechanisms underlying the relationship between hydrological monitoring and sleep quality, as well as to explore intervention strategies that can mitigate the negative effects on sleep quality.
CONCLUSION
Hydrological monitoring activities can negatively impact sleep quality, and the duration of sleep regression may vary among individuals. Long-term exposure to such activities may require intervention to mitigate the negative effects on sleep quality. Future research should aim to understand the mechanisms underlying this relationship and explore intervention strategies that can effectively mitigate these negative effects.
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