Losing our minds: how environmental pollution impairs human intelligence and mental health

2015 ◽  
Vol 52 (09) ◽  
pp. 52-4792-52-4792
Keyword(s):  
Mental Health ◽  
Environmental Pollution ◽  
Human Intelligence

Review of Environmental Pollution and Mental Health.

1974 ◽  
Vol 19 (7) ◽  
pp. 568-568
Author(s):  
GEORGE W. ALBEE
Keyword(s):  
Mental Health ◽  
Environmental Pollution

scholarly journals Person of the Month: Jean Piaget (1896-1980)

2017 ◽  
Vol 4 (4) ◽  
Author(s):  
Ankit Patel
Keyword(s):  
Mental Health ◽  
Family Life ◽  
Developmental Psychology ◽  
Medieval Literature ◽  
Human Intelligence ◽  
Jean Piaget ◽  
History Of

Jean Piaget was born on August 9, 1896 in Neuchatel, Switzerland and died September 17, 1980. He was an influential experimenter and theorist in the field of developmental psychology and in the study of human intelligence. His father was devoted to his writings of medieval literature and the history of Neuchatel. Piaget learned from his father the value of systematic work, even in small matters. His mother was very intelligent, energetic, and kind, but had a rather neurotic temperament that made family life troublesome. Her mental health influenced his studies of psychology and he became interested in psychoanalysis and pathological psychology. Piaget’s godfather was the Swiss scholar Samuel Cornut who nurtured in him an interest in philosophy and epistemology during his adolescence.

Associations Between Perceived Environmental Pollution and Mental Health in Middle-Aged and Older Adults in East Asia

2020 ◽  
pp. 101053952096099
Author(s):  
Takashi Yamashita ◽  
Giyeon Kim ◽  
Darren Liu ◽  
Anthony R. Bardo
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Environmental Pollution ◽  
East Asian ◽  
National Level ◽  
Pollution Index ◽  
Future Research ◽  
Linear Regression Models ◽  
Middle Aged ◽  
Pollution Indicators

Given the widely used objective measures of environmental pollution in previous research, this study investigated subjective measures in relation to mental health among middle-aged and older adults in 3 East Asian countries—China, Japan, and South Korea. The samples from the 2010 East Asian Social Survey included 2502 Chinese, 1794 Japanese, and 871 South Korean adults aged 40 and older. Linear regression models were used to examine the associations between mental health measure (SF-12) and 4 perceived environmental pollution indicators (ie, air, water, noise, and pollution index). Greater perceived pollution indicators, as well as the perceived pollution index, were associated with poorer mental health, even after adjusting for covariates in all 3 countries. Although results need to be further verified in future research, national-level efforts to improve perceptions of environmental pollution may be useful to enhance the mental health of East Asian middle-aged and older adults.

scholarly journals Environmental Pollution and Health Problems of Workers in Tobacco Industries

1970 ◽  
pp. 13-17
Author(s):  
MS Elias ◽  
NK Saha
Keyword(s):  
Mental Health ◽  
Environmental Pollution ◽  
Raw Materials ◽  
General Health Questionnaire ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Subjective Health ◽  
Health Care Facilities ◽  
Measuring Instruments ◽  
Health Related

The effect of environmental pollution on subjective and mental health of the workers in tobacco industries has been investigated. A total of 540 workers, 340 from tobacco (polluted) industries and the remaining 200 from non-tobacco industries, were selected using simple random sampling technique. Workers included in the sample were interviewed with three measuring instruments: (a) The Inventory of Subjective Health, (b) The General Health Questionnaire and (c) The Interview Schedule on Personal and Health Related Questionnaire. The results showed that the workers of tobacco industries suffered more from subjective health and mental health related problems than those of the non-tobacco industries. The older (≥20 yrs) workers perceived relatively better subjective health than the younger (<20 yrs) whereas latter perceived better mental health than the former. Male workers were found to have better subjective and mental health compared to the female workers, and the unmarried workers had better mental health than the married workers. Moreover, unhygienic home environment, malnutrition, lack of health care facilities, use of raw materials, anxiety, tension and job dissatisfaction were some of the health risk factors as perceived by majority respondents of tobacco industries than that of the non-tobacco industries. Key words: Pollution; subjective health; mental health; tobacco industry DOI: 10.3329/jles.v3i0.7439 J. Life Earth Sci., Vols. 3-4: 13-17, 2009  

scholarly journals Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health

AI Magazine ◽  
2018 ◽  
Vol 39 (3) ◽  
pp. 69-80 ◽  
Author(s):  
Munmun De Choudhury ◽  
Emre Kiciman
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Social Media ◽  
Human Intelligence ◽  
Prior Work ◽  
Specific Domain ◽  
Do So

This article presents a position highlighting the importance of combining artificial intelligence (AI) approaches with natural intelligence, in other words, involvement of humans. To do so, we specifically focus on problems of societal significance, stemming from complex, sensitive domains. We first discuss our prior work across a series of projects surrounding social media and mental health, and identify major themes wherein augmentation of AI systems and techniques with human feedback has been and can be fruitful and meaningful. We then conclude by noting the implications, in terms of opportunities as well as challenges, that can be drawn from our position, both relating to the specific domain of mental health, and those for AI researchers and practitioners.

A Logical Path From Neural Ensemble Formation to Cognition With Mind-Light-Matter Unification

2018 ◽  
Vol 12 (4) ◽  
pp. 20-54 ◽  
Author(s):  
Wen-Ran Zhang
Keyword(s):  
Mental Health ◽  
Computer Simulation ◽  
Human Intelligence ◽  
Causal Network ◽  
Quantum Biology ◽  
Cognitive Informatics ◽  
Neural Ensembles ◽  
Neural Ensemble ◽  
Science Philosophy ◽  
Information Conservation

Based on a geometrical and logical unification of mind, light, and matter, a revision of Laozi is proposed and a logical path is identified from neural ensemble formation to cognition. Mind-matter or mind-body unification has been a longstanding impasse in philosophy and science hindering the advancement of biophysics, quantum biology, neuroscience, human level AI, and cognitive informatics. However, this article shows that such a unification can be reached logically. To achieve the goal, the eternal Dao is told as the Being of revealing with a formal YinYang logic. It is illustrated with computer simulation that neural ensembles can form a causal network for cognition with information conservation. It is suggested that if the theory is confirmed, the search for mind-body unification will reach a major milestone on the eternal Dao toward a better understanding of the nature of human intelligence and mental health. This work leads to a number of predictions in science philosophy.

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