Five hypotheses concerned with bedroom environment and sleep quality: A questionnaire survey in Shanghai city, China

Xu, Xinbo; Lan, Li; Shen, Jingyun; Sun, Yuxiang; Lian, Zhiwei

doi:10.1016/j.buildenv.2021.108252

Cited by 37 publications

(13 citation statements)

References 44 publications

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“…A factor that is no less crucial in determining the quality of sleep is the bed environment. There are many determinants that affect the bed environment, including thermal, indoor air quality (IAQ), light, and acoustic (52). Basically, the circadian cycle is closely related to the body's core temperature.…”

Section: 3efforts To Improve Sleep Quality In Medical Studentsmentioning

confidence: 99%

Relationship Between Sleep Quality and Achievement of Medical Students in Indonesia

Putri¹,

Kurniawan²,

Sakina³

2023

IJRP

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Sleep quality is a form of fulfilling the satisfaction of an individual who undergoes a sleep process. The quality of a person's sleep is believed to have an impact on aspects of that person's life. Medical students are no exception, who are prone to sleep with poor quality. It is suspected that one of them can have an impact on their academic performance. This literature review aims to determine whether a person's sleep quality level contributes to the academic achievement of medical students in Indonesia. Based on the eleven studies reviewed, six studies found a positive relationship between the level of sleep quality and the academic achievement of medical students in Indonesia. This is presumably because of the factors that influence it, namely mental, physical, environmental, and so on. One of them is a change in the lifestyle of medical students such as a busy schedule of activities that requires medical students to adapt to affect their sleeping hours. Not only that, the most common thing that happens is due to high stressors or pressure that occurs which affects the quality of sleep and ends up affecting their academic performance. Based on eleven literature reviews that have been conducted, it is found that currently, as many as six studies support a positive relationship while five studies do not find a relationship between sleep quality and achievement in medical students in Indonesia.

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Section: 3efforts To Improve Sleep Quality In Medical Studentsmentioning

confidence: 99%

Relationship Between Sleep Quality and Achievement of Medical Students in Indonesia

Putri¹,

Kurniawan²,

Sakina³

2023

IJRP

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“…With development of the research process in sleep and environment, researchers gradually realized that sleep quality was affected by comprehensive environmental factors 115–118 . Lan et al established three conditions to investigate the effects of ventilation and related ventilation noise on sleep quality, 51 the sleep quality of nine young people and nine older people was recorded for three nights.…”

Section: Common Assessment Of Sleep Qualitymentioning

confidence: 99%

Objective sleep assessments for healthy people in environmental research: A literature review

Lian

2022

Indoor Air

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To date, although many studies had focused on the impact of environmental factors on sleep, how to choose the proper assessment method for objective sleep quality was often ignored, especially for healthy subjects in bedroom environment. In order to provide methodological guidance for future research, this paper reviewed the assessments of objective sleep quality applied in environmental researches, compared them from the perspective of accuracy and interference, and statistically analyzed the impact of experimental type and subjects' information on method selection. The review results showed that, in contrast to polysomnography (PSG), the accuracy of actigraphy (ACT), respiratory monitoring‐oxygen saturation monitoring (RM‐OSM), and electrocardiograph (ECG) could reach up to 97%, 80.38%, and 79.95%, respectively. In terms of sleep staging, PSG and ECG performed the best, ACT the second, and RM‐OSM the worst; as compared to single methods, mix methods were more accurate and better at sleep staging. PSG interfered with sleep a great deal, while ECG and ACT could be non‐contact, and thus, the least interference with sleep was present. The type of experiment significantly influenced the choice of assessment method (p < 0.001), 85.3% of researchers chose PSG in laboratory study while 82.5% ACT in field study; moreover, PSG was often used in a relatively small number of young subjects, while ACT had a wide applicable population. In general, researchers need to pay more attention at selection of assessments in future studies, and this review can be used as a reliable reference for experimental design.

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“…Based on the literatures listed in Table 1, we find that human‐environment researches generally contain the following three characteristics, which have a practical impact on the implementation of regression analysis. First, the number of variables involved in study is generally large, and variables can be mainly derived into two sources, one person‐related, including physiological parameters and perception voting, 35–37 and the other environment‐related, that is, a series of parameters divided from assessments in thermal environment, acoustic environment, light environment, and air quality 38–40 ; in addition, some variables are highly subjective. Second, the sample size of study is highly valued, based on Cohen's research on sample size analysis, 41 Lan and Lian 42 specifically explored the minimum sample size calculation method in human health, comfort, and productivity researches, thus the sample size in these studies was often larger than the statistically requirement, and samples were even collected as much as possible in some field tests 37,40,43 .…”

Section: Introductionmentioning

confidence: 99%

“…Based on the literatures listed in Table 1, we find that human-environment researches generally contain the following three characteristics, which have a practical impact on the implementation of regression analysis. First, the number of variables involved in study is generally large, and variables can be mainly derived into two sources, one person-related, including physiological parameters and perception voting, [35][36][37] and the other environmentrelated, that is, a series of parameters divided from assessments in thermal environment, acoustic environment, light environment, and air quality [38][39][40] ; in addition, some variables are highly subjective.…”

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confidence: 99%

Discussion on regression analysis with small determination coefficient in human‐environment researches

Lian

2022

Indoor Air

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As the main indicator for assessing the explanatory strength of regression model, there is no denying that a bigger value of determination coefficient (R‐squared, R2) is the consistent pursuit of researchers in human‐environment field, but whether to abandon or apply the model with a small value of R2 is an ongoing argument. This paper summarizes three characteristics of human‐environment researches (large number of various variables, large mathematical sample size, and polynomial regression model). Based on the mathematical mechanism of regression analysis, theoretical analysis and case study are combined to point out the misconceptions that are easy to step into and the corresponding suggested methods from three perspectives: selection of determination coefficients, consideration of independent variables, and application of regression models. An extraordinary important point is, if the regression model passes the significance test, even with a small coefficient of determination, it can still quantitatively explain the impact extent of independent variables on dependent variables, but cannot comprehensively and accurately predict the specific value of dependent variable based on existing independent variables; moreover, the larger the sample size, the closer the interpretation of dependent variables in local model to ideal model. It is expected that these cases and lessons could help researchers to better apply regression analysis in human‐environment researches, and that the small value of R2 would not be an excessive restriction affecting the development of scientific research in this field.

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Five hypotheses concerned with bedroom environment and sleep quality: A questionnaire survey in Shanghai city, China

Cited by 37 publications

References 44 publications

Relationship Between Sleep Quality and Achievement of Medical Students in Indonesia

Relationship Between Sleep Quality and Achievement of Medical Students in Indonesia

Objective sleep assessments for healthy people in environmental research: A literature review

Discussion on regression analysis with small determination coefficient in human‐environment researches

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