Evidence map›Paper›PMID 31568932›Full record

ArticleDrug and alcohol dependence2019

Sex differences in prescription opioid use patterns assessed through a community engagement program in Florida.

Mirsada Serdarevic, Catherine W Striley, Kelly K Gurka, Robert F Leeman, Linda B Cottler

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. The HealthStreet Cancer Survivor Cohort: a Community Registry for Cancer Research.Journal of cancer survivorship : research and practice · 2024
    Article
  3. Overdose mortality rates for opioids and stimulant drugs are substantially higher in men than in women: state-level analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  4. Article
  5. Article
  6. Article
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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

5 authors.

Mirsada SerdarevicCenter for Outcomes Research, JPS Health Network, 1500 S. Main Street, Fort Worth, Texas 76104 USA. Electronic address: mserdarevic@ufl.edu.
Catherine W StrileyDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, Florida, 32610 USA.
Kelly K GurkaDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, Florida, 32610 USA.
Robert F LeemanDepartment of Health Education and Behavior, University of Florida, FLG 14, P.O. Box 118210, Gainesville, FL 32611-8210 USA.
Linda B CottlerDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, Florida, 32610 USA.

Funding

UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
NCATS NIH HHS UL1 TR000064
6 · The paper itself

Abstract

backgroundMorbidity and mortality attributed to prescription opioids are a crisis in the US and spreading globally. Sex differences related to these conditions have not been adequately assessed.

methodsThrough our community engagement program, data on demographics, health status, and substance use, including prescription opioids (e.g., Vicodin®, Oxycodone), were collected from community members in Florida (primarily North Central Florida) during a health needs assessment. Participants over 18 years of age were classified by opioid use: past 30-day, lifetime but not past 30-day, or no lifetime prescription opioid use. Descriptive statistics and chi-square tests were calculated, and multinomial logistic regression was used to calculate adjusted odds ratios (aOR; CI). Analyses were conducted for men and women separately to examine sex specific effects.

resultsAmong 9221 community members assessed, the mean age was 45 years, 60% were female, and 58% were black. Respondents who endorsed past 30-day use and lifetime use were more likely to be female. Prescription sedative use was the strongest risk factor for past 30-day (aOR = 3.96; 95% CI, 3.35-4.68) and lifetime (aOR = 2.67; 95% CI, 2.34-3.04) prescription opioid use, regardless of sex. Other factors including marijuana use and history of cancer were significantly associated with prescription opioid use; they varied by sex.

conclusionsThe risk factors identified in this community sample provide additional information not accounted for by national studies. Future examinations of the consequences of concomitant opioid and sedative use, especially among women, are needed.

Indexed as

Sex CharacteristicsAdolescentAdultCross-Sectional StudiesFemaleFloridaHealth StatusHumansMaleMiddle AgedOdds RatioOpioid-Related DisordersPrescription Drug MisuseRisk FactorsYoung AdultCommunityOpioid usePrescription opioidsSex differences

Identifiers

PMID31568932
PMCPMC6878203

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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.