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Record W1769315525 · doi:10.1177/0886260515592651

Sleep Disturbance Partially Mediates the Relationship Between Intimate Partner Violence and Physical/Mental Health in Women and Men

2015· article· en· W1769315525 on OpenAlexfundno aff
Linden Lalley-Chareczko, Andrea G. Segal, Michael L. Perlis, Sara Nowakowski, Joshua Z. Tal, Michael A. Grandner

Bibliographic record

VenueJournal of Interpersonal Violence · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
FundersNational Center for Complementary and Integrative HealthNational Institute of Environmental Health SciencesNational Center for Research ResourcesNational Institute of Mental HealthNational Institute on AgingCenters for Disease Control and PreventionUniversity of PennsylvaniaUniversity of British ColumbiaNational Heart, Lung, and Blood Institute
KeywordsDomestic violenceMental healthSleep disorderPoison controlPsychologyBehavioral Risk Factor Surveillance SystemContext (archaeology)Injury preventionSuicide preventionMedicinePsychiatryClinical psychologyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

Intimate partner violence (IPV) is a worldwide health concern and an important risk factor for poor mental/physical health in both women and men. Little is known about whether IPV leads to sleep disturbance. However, sleep problems may be common in the context of IPV and may mediate relationships with mental/physical health. Data from the 2006 Behavioral Risk Factor Surveillance System (BRFSS) were used ( N = 34,975). IPV was assessed in female and male participants for any history of being threatened by, physically hurt by, or forced to have sex with an intimate partner (THREAT, HURT, and SEX, respectively), and, further, as being forced to have sex with or physically injured by an intimate partner within the past year (SEXyr and HURTyr, respectively). These survey items were coded yes/no. Sleep disturbance was assessed as difficulty falling asleep, staying asleep, or sleeping too much at least 6 of the last 14 days. Logistic regression analyses, adjusted for age, sex, race, income, education, and physical/mental health, assessed whether IPV predicted sleep disturbance. Sobel-Goodman tests assessed whether relationships between IPV and physical/mental health were partially mediated by sleep disturbance. All IPV variables were associated with sleep disturbance, even after adjusting for the effects of age, sex, race/ethnicity, income, education, employment, marital status, physical health and mental health. THREAT was associated with sleep disturbance (odds ratio [OR] = 2.798, p < .0001), as was HURT (OR = 2.683, p < .0001), SEX (OR = 3.237, p < .0001), SEXyr (OR = 7.741, p < .0001), and HURTyr (OR = 7.497, p < .0001). In mediation analyses, all IPV variables were associated with mental health ( p < .0001), and all were associated with physical health ( p < .007) except SEXyr. Sleep disturbance partially mediated all relationships (Sobel p < .0005 for all tests). Mediation was around 30%, ranging from 18% (HURTyr and mental health) to 41% (HURT and physical health). IPV was strongly associated with current sleep disturbance above the effect of demographics and overall mental/physical health, even if the IPV happened in the past. Furthermore, sleep disturbance partially mediates the relationship between IPV and mental/physical health. Sleep interventions may potentially mitigate negative effects of IPV.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.342
Teacher spread0.305 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations39
Published2015
Admission routes1
Has abstractyes

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