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@article{196450,
        author = {Arshita Tajta and Anchal},
        title = {Mental Health And Environment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4299-4303},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196450},
        abstract = {Environments seen as the physical, chemical, and biological conditions to which organisms are subjected, define the ways we obtain various resources, there quantity and their quality. In interplay with our organisms, environments determine how ‘FIT’ we are. An aspect of that fitness is the quality of neuropsychological function. There is traditional view that there is something like an ‘OBJECTIVE ENVIRONMENT’ and an ‘EFFECTIVE ENVIRONMENT’ part of objective environment that actually affects organism, the dividing line between the two is rather obscure. Environment in general cannot be defined without taking into account the behaviour of the organism, and it is especially challenging to define what environment means to humans, given the enormous disparity and scope of human behaviours; what it is that we require and tolerate simultaneously, that physical environment is the broader state of affairs of what we usually term ‘SOCIAL ENVIRONMENT’. According to scientific literature, climate change, due to human activities, can damage the environment, with psycho physical consequences for humans. Epidemiological, preclinical and interventional clinical studies have demonstrated that environmental stressors are associated with health problems, namely cardiovascular diseases.
This paper outlines the conceptual problems in determining and evaluating the relationship between environmental conditions and more contiguous determinants of mental health, at the same time reviewing the assumptions of some of the prominent examples of the relationship.},
        keywords = {Psycho-Physical, Cardiovascular disease, Neuropsychological function, Epidemiological, preclinical.},
        month = {April},
        }