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Record W1656497344 · doi:10.1111/1467-9566.12334

Carr, D.Worried Sick: How Stress Hurts Us and How to Bounce Back. New Brunswick, NJ: Rutgers University Press. 2014116pp £12.99 (pbk) ISBN 978‐0813565378

2015· article· en· W1656497344 on OpenAlexaboutno aff
Catherine Pope

Bibliographic record

VenueSociology of Health & Illness · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsCarrBiopsychosocial modelSociologySet (abstract data type)PsychoanalysisPsychologyMedia studiesComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Worried Sick is an odd little book. I was intrigued by it, and having read it, I confess to being unsure how to begin my review, apart from to assert that it is an odd book. This slim volume comes from the Rutgers University Press ‘PinPoints’ series on ‘Complex Topics, Concise Explanations’. This may explain its unconventional approach and form. The four other texts in the series include a book on Black icons and others on the economy of New Jersey, environmental crisis and water shortage, and dark matter. Set against these titles Worried Sick looks unusual, but not incongruous. The PinPoints brief is to deliver material for ‘a wide circle of scholars, students and non-specialist general readers’ in 100 pages and Carr sticks to these page limits. And as to content, well, it was interesting to read a book on stress not written by a health psychologist or from a psychotherapeutic stance. Deborah Carr is a Professor of Sociology at Rutgers where she teaches and conducts research on family life and the effects of stressors such as bereavement, so I wondered if a sociologist's fresh examination of the topic would contradict biomedical explanations of stress and our responses to it. In as much as this is possible in such a short book, Carr does this. In essence, the book presents a biopsychosocial (BPS) model that highlights the interconnectedness of biology, psychological, economic and social factors that create and may protect against stress. As a side note, David Pilgrim (2015) has written about the popularity of BPS amongst health researchers that provides a fuller account and critique of this model. Carr's book straddles the popular science, self-help and introductory sociology genres such that it is not always clear who the actual audience will be. Worried Sick might find its way to the mind/body section of the book store, where the sub-title promise of ‘bounce back’ solutions might not be misplaced, but I was not sure quite how comfortably it would fit in the sociology or health sections. Questions of product placement aside, the book is a good summary of the topic and an interesting, quick read. The book ‘feels’ very American, in part because of Carr's attempts to personalise the message with vignettes and stories about ‘Dawn’, ‘Naomi’, ‘Marisol’ and ‘Rob’ in the manner of populist therapy books. This is reinforced by evidence drawn from US sources, learning that ‘16% of Americans have ever suffered from a major depressive disorder’ (p. 25) and 18% of them have experienced anxiety in the past year (p. 27). It was not until half way through that a study of ‘ninety thousand adults in the United Kingdom’ – linking mental state and mortality – was mentioned (p. 50), but this was not referenced, making the book a slightly frustrating academic resource. Carr provides an outline of the historical definitions of stress, going back to Hans Selye's endocrinological research in the 1950s, and reviewing contemporary measures and scales, but also noting ideas about stress contagion in social networks. She reviews, albeit briefly, various theories about the links between stress and health - covering role strain, cumulative disadvantage, stress process and discrepancy theories - and contrasts these with bio-genetic explanations for the complex relationship between mind and body. Carr mentions survey and laboratory experimental research methods before examining ‘social science explanations’ for the connection between stress and health. There are a couple of pages each on (damaging) heath behaviours, nudges to alter these, and the impact of sleep on mental wellbeing. This precedes a section on ‘Social Class: The Fundamental Cause Behind the Stress-Health Link’ which briefly takes in fundamental cause theory and the impact of social inequality, before the book returns to Seyle's physiological work. The fourth and penultimate chapter examines ideas about risk and resilience, and the conclusion explores ‘Paths to Healing’. This notes the benefits of social support for behaviour change, alongside cognitive behavioural therapy and mindfulness. There is a relatively short section on medications, which – given their ubiquity and cost, and interest to social scientists – might have warranted a longer and more critical appraisal. That said, Carr concludes that ‘most of the stressors discussed in this book have their roots in major social inequalities based on one's social class, race, gender, age or even body size’ (p. 108) and argues that public and social policy can support these stressors, or address them to improve population wellbeing. That seems to be a message worth repeating.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.318
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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