Evidence map›Paper›PMID 34491491›Full record

ArticleCulture, medicine and psychiatry2021

Getting On in Gotham: The Midtown Manhattan Study and Putting the "Social" in Psychiatry.

Matthew Smith

Abstract read
In one paragraph

Article in Culture, medicine and psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Matthew SmithCentre for the Social History of Health and Healthcare, University of Strathclyde, Glasgow, UK. matthew.smith@ualberta.net.ORCID http://orcid.org/0000-0002-9267-2124

Funding

Arts and Humanities Research Council (UK) AH/L009641/1
6 · The paper itself

Abstract

In the spring of 1962, a series of alarming headlines greeted American newspaper readers. From "New York Living for Nuts Only" and "One in Five Here Mentally Fit" to "Scratch a New Yorker, and What Do You Find?" and "City Gets Mental Test, Results are Real Crazy," the stories highlighted the shocking and, to some, incredible statistics that fewer than one in five (18.5%) Manhattanites had good mental health. Approximately a quarter of them had such bad mental health that they were effectively incapacitated, often unable to work or function socially. The headlines were gleaned from Mental Health in the Metropolis (1962), the first major output of the Midtown Manhattan Study, a large-scale, interdisciplinary project that surveyed the mental health of 1660 white Upper East Side residents between the ages of 20 and 59. One of the most significant social psychiatry projects to emerge following the Second World War, the Midtown Manhattan Study endeavored to "test the general hypothesis that biosocial and sociocultural factors leave imprints on mental health which are discernible when viewed from the panoramic perspective provided by a large population." Despite initial media and academic interest, however, the Midtown Manhattan Study's findings were soon forgotten, as American psychiatry turned its focus to individual-rather than population-psychopathology, and turned to the brain-rather than the environment-for explanations. Relying on archival sources, contemporary medical and social scientific literature, and oral history interviews, this article explains why the Midtown Manhattan Study failed to become more influential, concluding that its emphasis on the role of social isolation and poverty in mental illness should be taken more seriously today.

Indexed as

Mental DisordersPsychiatryAdultHumansMental HealthMiddle AgedNew YorkSurveys and QuestionnairesYoung Adult

Identifiers

PMID34491491
PMCPMC8421468

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.