Decreased humidity improves cognitive performance at extreme high indoor temperature

Tian, Xiaoyu; Fang, Zhaosong; Liu, Weiwei

doi:10.1111/ina.12755

Cited by 62 publications

(21 citation statements)

References 51 publications

(124 reference statements)

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“…This result is consistent with the studies by Vasmatzidis et al and Trezza et al, which found that the memory function of people acutely exposed to high humidity is significantly lower than that of people exposed to low humidity [33,34]. In addition to memory function, some studies have found that a high relative humidity (70%) environment (e.g., subtropical climate) can reduce the cognitive ability of individuals [35], such as psychomotor speed and visual learning [33,35], making it more difficult for them to think clearly and reducing their alertness [36]. This may be due to the influence of relative humidity on the body's of 14 ability of thermal sensation and thermoregulation.…”

Section: Discussionsupporting

confidence: 92%

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The Association of Meteorological Factors with Cognitive Function in Older Adults

Qiu

Wei

Zhu

et al. 2021

IJERPH

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Individual and meteorological factors are associated with cognitive function in older adults. However, how these two factors interact with each other to affect cognitive function in older adults is still unclear. We used mixed effects models to assess the association of individual and meteorological factors with cognitive function among older adults. Individual data in this study were from the database of China Family Panel Studies. A total of 3448 older adults from 25 provinces were included in our analysis. Cognitive functions were measured using a memory test and a logical sequence test. We used the meteorological data in the daily climate dataset of China’s surface international exchange stations, and two meteorological factors (i.e., average temperature and relative humidity) were assessed. The empty model showed significant differences in the cognitive scores of the older adults across different provinces. The results showed a main impact of residence (i.e., urban or rural) and a significant humidity–residence interaction on memory performance in older adults. Specifically, the negative association between humidity and memory performance was more pronounced in urban areas. This study suggested that meteorological factors may, in concert with individual factors, be associated with differences in memory function in older adults.

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Section: Discussionsupporting

confidence: 92%

“…Moreover, high humidity conditions are more likely to cause pollution of atmospheric particles [50]. In addition, because of the urban heat island effect, a large number of studies have shown that in a high-heat and high-humidity environment, human cognitive function will be significantly reduced [34,35,51].…”

Section: Discussionmentioning

confidence: 99%

The Association of Meteorological Factors with Cognitive Function in Older Adults

Qiu

Wei

Zhu

et al. 2021

IJERPH

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“…In recent research, Mohamed et al (2021) discovered that classroom temperature influenced academic performance. These findings coincide with Tian et al (2021). This is because the authors discovered that cold and hot surroundings severely impact pupils' academic performance compared to thermally neutral conditions.…”

Section: Discussionsupporting

confidence: 69%

The Influence of Lighting, Noise, and Temperature on the Academic Performance of Students amid Covid-19 Pandemic

Hoang

Samara²,

Shannawi³

et al. 2022

IJLTER

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The Coronavirus outbreak disrupted the global economy and human social activities, including schooling. Because of the worldwide school closure, face-to-face lessons have been stopped. Students desire to participate in real-time online learning was not well understood when the Coronavirus outbreak occurred. Despite this, there has been a progressive return to face-to-face education accompanied by online learning after more than two years of the COVID-19 pandemic. This international survey assessed students' readiness for live online learning using technology rather than the more traditional online/internet self-efficacy scale. This study is needed because of the COVID-19 outbreak (dependent variable). Three hypotheses were substantiated with the partial least square method to develop a structural equation model containing all four variables. Students' grades were shown to be directly influenced by factors such as temperature, lighting, and noise. Three distinct elements influence university students' long-term viability (human resources). Males and females were found to have no statistically significant differences. We contend that during the Coronavirus pandemic, the gender disparity in learning was minimized because students were pushed to take greater responsibility for their education. Educators utilizing live online learning, particularly those educating students at various educational levels, can benefit greatly from this research. Students pursuing lower-level degrees should be encouraged to engage in more virtual activities and student-to-student relationships.

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“…The list of potential covariates included age in years, sex (women or men), BMI in kg/m 2 , educational level (below elementary school, elementary school, middle and high school, college and above), marital status (married, separated or divorced, widowed, others (e.g., single, living together)), geographical region (Ansan or Ansung), physical activity (yes or no as to whether the study participants regularly exercise to make their bodies sweat at least once a week), smoking (never, former, current), alcohol consumption (never, former, moderate, heavy), diabetes mellitus (yes or no), hypertension (yes or no), hyperlipidemia (yes or no), cerebrovascular disease (yes or no), prior diagnosis of cancer (yes or no), relative temperature in °C, relative humidity in %, and season of participants’ study visit. We included relative temperature and humidity, as well as the season of the study visit, based on their relationship with PM concentrations documented in the literature [ 19 , 20 ].…”

Section: Methodsmentioning

confidence: 99%

Effect of Short- to Long-Term Exposure to Ambient Particulate Matter on Cognitive Function in a Cohort of Middle-Aged and Older Adults: KoGES

Lee

Kim

Song

et al. 2022

IJERPH

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Exposure to ambient air pollution and its threat to human health is a global concern, especially in the elderly population. Therefore, more in-depth studies are required to understand the extent of the harmful effects of particulate matter (PM) based on duration and levels of exposure. An investigation was conducted to determine the association between short- (1–14 days), medium- (1, 3, and 6 months), and long-term (1, 2, and 3 years) exposure to air pollutants (PM2.5 and PM10) and cognitive function among Koreans (4175 participants, mean age 67.8 years, 55.2% women) aged over 50 years. Higher levels of PM2.5 exposure for short to long term and PM10 exposure for medium to long term were found to be associated with decreased cognitive function, as indicated by lower scores of the Mini-Mental State Examination adopted in Korean (K-MMSE). There were significant effect modifications by sex, age group, alcohol consumption, physical activity, and smoking status in the association between long-term PM2.5 and PM10 exposure and cognitive function. These findings, which underscore the importance of the efforts to reduce the exposure levels and durations of air pollutants, especially in the vulnerable elderly population, provide evidence for establishing more stringent policies for air pollution regulations.

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Decreased humidity improves cognitive performance at extreme high indoor temperature

Cited by 62 publications

References 51 publications

The Association of Meteorological Factors with Cognitive Function in Older Adults

The Association of Meteorological Factors with Cognitive Function in Older Adults

The Influence of Lighting, Noise, and Temperature on the Academic Performance of Students amid Covid-19 Pandemic

Effect of Short- to Long-Term Exposure to Ambient Particulate Matter on Cognitive Function in a Cohort of Middle-Aged and Older Adults: KoGES

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