Students' blood pressure and heart rate while performing cognitive tasks at education institutions in Northern and Northeastern Brazil

Influence of environmental variables on students' cognitive performance in indoor higher education environments

BACKGROUND

Educational environments can have environmental conditions that are incompatible with the needs of students, compromising their well-being and affecting their performance.

OBJECTIVE

To identify the environmental variables that influence the performance of university students and measure this influence through an experiment in indoor environments.

METHODS

The study applied an experimental methodology for three consecutive days in seven educational environments located in different regions of Brazil, measuring the environ-mental conditions, the students' perception of the environment, and their cognitive performance. The impact of environmental variables and environmental perception on student performance was analyzed using Generalized Linear Models and a Structural Equation Model.

RESULTS

Students who took the test at air temperatures between 22.4°C and 24.7°C had a 74.20% chance of performing better than those outside this range. Air temperatures between 26.2°C and 29°C were associated with an 86% chance of taking less time to complete the test. High illuminance levels increased the chance of taking longer to answer the test by 41.7%.

CONCLUSIONS

Three environmental variables (relative humidity, lighting and air temperature) and two perceptual dimensions (light and thermal perception) directly influence student performance.

Quantitative analysis of the influence of air temperature variability on thermal perception of Brazilian university students

BACKGROUND: The scientific literature has already identified the influence of thermal conditions on health and performance of students. However, users’ opinions are often overwhelmed by normative evaluations, not receiving the necessary attention. OBJECTIVE: To quantitatively compare the influence of air temperature variability on the thermal perception of students from six air-conditioned teaching environments located in four regions of Brazil. METHODS: Three-day experiments were carried out in six environments. A thermal condition was proposed for each day. From that, the environmental parameters were measured and a questionnaire about the thermal perception was applied. Then, Generalized Linear Models were applied to obtain a measure of effect and hypothesis test and confidence interval were used to find comfort zones and compare environments. RESULTS: The results showed that students from environments A, B, C and E felt less the effects of the increase in air temperature compared to students from environments D and F. In addition, students from environments A, B, C and E showed less perceptual variability compared to students from environments D and F. CONCLUSIONS: Students acclimated to higher thermal conditions felt less the effects of the increase in air temperature, showed less perceptual variability and a higher degree of thermal adaptability.

A first approach to human biometeorology research in Brazil: a systematic review and meta-analysis

This systematic review aims to give an overview of the diversity of research areas related to human biometeorology in Brazil. The main focus of this paper addresses research trends, represented by published papers with national and international authorship, main contributions and shortcomings, as well as challenges and prospects of research in this area of study. An extensive literature search was conducted in the Scopus, Web of Science, and Science Direct databases so as to identify relevant publication output up to July 2021 related to the research area. The screening resulted in 96 studies chosen for full-text reading. Overall, results indicated a reduced amount of articles on the subject matter published internationally, with noticeable gaps in research in some regions of the country, such as the Amazon region and in the Brazilian Midwest region. Research gaps in relevant areas have been identified with limited output in the climate dimensions of tourism, vector-borne diseases, mortality and morbidity in urban centers. Such gaps should further encourage researchers to engage in research focused on those areas.

A method for predicting the Actual Percentage of Dissatisfied (APD) through a simple proposition of thermal comfort zones in a working environment

BACKGROUND

Over the last few decades, there has been a concern to improve the quality of indoor work environments and increase energy efficiency as people spend much of their time in such settings.

OBJECTIVE

This study analyzed a group of women developing sedentary activities to determine the Actual Percentage of Dissatisfied (APD) in the environment, considering that all people who voted any value other than zero on the seven-point scale are deemed dissatisfied.

METHODS

After this analysis, using the probit regression model, hot and cold air temperature curves were plotted so as to determine in which situation the number of people dissatisfied with the environment is minimal.

RESULTS

The results showed an APD of 52.31%, which is different from the ADP recommended by ISO 7730 (2005) [-0.5 < PMV < + 0.5, PPD < 10% ]. The probit analysis using the cut of 10% as dissatisfied, according to category B of ISO 7730 (2005), showed a comfort temperature of 21.1°C, with a comfort temperature range from 19.61 to22.61°C.

CONCLUSIONS

Using the fraction of people dissatisfied with the environment (52.31%) as the cutoff, when the air temperature is equivalent to 20.2°C, the lowest percentage dissatisfied by the cold and heat in the environment occurs simultaneously.