Investigation of gender difference in human response to temperature step changes

Xiong, Jing; Lian, Zhiwei; Zhou, Xin; You, Jianxiong; Lin, Yanbing

doi:10.1016/j.physbeh.2015.07.037

Cited by 63 publications

(25 citation statements)

References 27 publications

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“…The Hausman test (reported in the lower panel of onine Appendix Table A.2) confirms that the coefficient values are significantly different at the 5 percent level ( p-value 0.0325). This is consistent with prior research that temperature-sensitivity is particularly pronounced amongst females (Yu et al 2010, Xiong et al 2015. The result also goes some way to address a concern that the patterns that we observe are driven not by the effect of temperature on judgement, but that temperature is instead influencing outcomes by impacting (for example) the comportment of the applicant or his lawyer.…”

Section: A Linearsupporting

confidence: 91%

“…To put this into perspective, in our sample, the difference in grant rate between a judge at the twenty-fifth percentile in terms of leniency, and one at the seventy-fifth percentile, is 7.9 percent. Consistent with some existing studies of temperature susceptibility varying by gender (Yu et al 2010;Xiong et al 2015) the effect is particularly pronounced for female judges. To allay concerns that there might be something unique to the immigration setting that is driving the results, we repeat the exercise for decisions made in 18,461 Parole Suitability Hearings at the 39 locations of the California Department of Corrections and Rehabilitation (CDCR), arriving at parallel conclusions.…”

supporting

confidence: 89%

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Temperature and Decisions: Evidence from 207,000 Court Cases

Heyes

Saberian

2019

American Economic Journal: Applied Economics

102

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We analyze the impact of outdoor temperature on high-stakes decisions (immigration adjudications) made by professional decision-makers (US immigration judges). In our preferred specification, which includes spatial, temporal, and judge fixed effects, and controls for various potential confounders, a 10°F degree increase in case-day temperature reduces decisions favorable to the applicant by 6.55 percent. This is despite judgements being made indoors, “protected ” by climate control. Results are consistent with established links from temperature to mood and risk appetite and have important implications for evaluating the influence of climate on “cognitive output.” (JEL K37, K41, Q54)

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Section: A Linearsupporting

confidence: 91%

supporting

confidence: 89%

Temperature and Decisions: Evidence from 207,000 Court Cases

Heyes

Saberian

2019

American Economic Journal: Applied Economics

102

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“…Innate differences in physical traits and physiology between men and women is likely to create differences in their thermoregulatory functions. Although few studies have analysed gender difference in bodily reactions to temperature step-changes [31], similar investigation regarding thermal comfort is required.…”

Section: Gender Differencesmentioning

confidence: 99%

Predictive modelling of thermal comfort using physiological sensing

Chaudhuri¹

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Your presence makes life beautiful! I would also like to thank my friends at the dance club-I am grateful to have friends I can share my passion for dance with. I also thank all the friends that I have made during my 3 years as a member of the NTU-GSA Career and Entrepreneurship Committee-I am grateful for having had a platform for public-speaking and collaborative service towards the graduate student community. I would like to acknowledge the financial support from the Energy Research Institute @ NTU (ERIAN) at Nanyang Technological University Singapore and the Ministry of Education, Government of Singapore; and administrative support from the Interdisciplinary Graduate School. This work is partially supported by Singapore's National Research Foundation under NRF2011NRFCRP001-090. Thanks to Minying Huang and Lily from ERIAN for your continuous help and support with the administrative aspects. Especially, I would like to offer my warmest heartfelt gratitude to my dearest loving parents, Mrs. Kalpana Chaudhuri and Mr. Bhabatosh Chaudhuri. Thank you for your unconditional love and support. Special thanks to you for always inspiring by example to reach greater heights in life. You both are my rock, my strength, my inspiration! iv Contents Abstract i Acknowledgements iii Table of Contents v List of Tables ix List of Figures xiii Symbols and Acronyms xvii

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“…We cannot ignore the impact of indoor temperature exposure on older adults. Besides, men and women have different ability in thermoregulation [21], and one study demonstrated gender-related differences in sweat loss [22]. A study indicated that older adults spend significantly more time indoors compared with adolescents (age: 12-19) and adults (age: 20-59) [23].…”

Section: Introductionmentioning

confidence: 99%

Indoor temperature and respiratory disease–related emergency department visits: a study of cumulative effects among older adults in Taiwan

Chien-Cheng¹,

Hsia²,

Hsu³

et al. 2020

Preprint

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Background Studies have demonstrated that exposure to extreme outdoor temperatures increases respiratory diseases related mortality and morbidity, especially in older adults. However, older adults spend over 80% of their time indoors, and the cumulative effects of exposure to indoor temperature on the risk of respiratory diseases have not been investigated. The objective of this study was to study the cumulative effect of indoor temperature exposure on emergency department visit due to respiratory diseases among older adults. Methods Participant data were collected from the Longitudinal Health Insurance Database from 2000 to 2014 in Taiwan. The cumulative degree hour was used to reflect the cumulative effect of indoor temperature exposure. A distributed lag nonlinear model was used to analyze the association between cumulative degree hour and emergency department visit due to respiratory diseases. Results Our findings revealed a significant risk of emergency department visits due to respiratory diseases at 27, 28, 29, 30, and 31 °C when cooling cumulative degree hours exceeded 60, 30, 19, 1, and 1, respectively, during the hot season (May to October) and at 19, 20, 21, 22, and 23 °C when heating cumulative degree hours exceeded 1, 1, 1, 39, and 49, respectively, during the cold season (November to April). Conclusions We conclude that the cumulative effects of indoor temperature exposure should be considered to reduce respiratory disease risk under climate change.

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Investigation of gender difference in human response to temperature step changes

Cited by 63 publications

References 27 publications

Temperature and Decisions: Evidence from 207,000 Court Cases

Temperature and Decisions: Evidence from 207,000 Court Cases

Predictive modelling of thermal comfort using physiological sensing

Indoor temperature and respiratory disease–related emergency department visits: a study of cumulative effects among older adults in Taiwan

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