Evidence map›Paper›PMID 35430465›Full record

ArticleSocial science & medicine (1982)2022

County social isolation and opioid use disorder among older adults: A longitudinal analysis of Medicare data, 2013-2018.

Tse-Chuan Yang, Carla Shoff, Seulki Kim, Benjamin A Shaw

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Metro/Nonmetro Migration as a Risk Factor for Opioid Use Disorder Among Older Medicare Beneficiaries: A Longitudinal Analysis of 2013-2018 Data.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. TheFrontiers in psychology · 2024
    Article
  9. Social Vulnerability and the Prevalence of Opioid Use Disorder Among Older Medicare Beneficiaries in U.S. Counties.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  10. Article
  11. Article
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

4 authors at 3 institutions in 1 country.

Tse-Chuan YangDepartment of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX, USA. Electronic address: tsyang@utmb.edu.
Carla ShoffIndependent Consultant, Baltimore, MD, USA.
Seulki KimDepartment of Sociology, University at Albany, State University of New York, Albany, NY, USA.
Benjamin A ShawDivision of Community Health Sciences, University of Illinois Chicago, Chicago, IL, USA.
Albany State University · USThe University of Texas Medical Branch at Galveston · USUniversity of Illinois Urbana-Champaign · US

Funding

Interdisciplinary Network on Rural Population Health and AgingR24AG065159 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI JENSEN, LEIF · 2019 to 2023
$1.9M
NIA NIH HHS R24 AG065159
6 · The paper itself

Abstract

This study aims to fill three knowledge gaps: (1) unclear role of ecological factors in shaping older adults' risk of opioid use disorder (OUD), (2) a lack of longitudinal perspective in OUD research among older adults, and (3) underexplored racial/ethnic differences in the determinants of OUD in older populations. This study estimates the effects of county-level social isolation, concentrated disadvantage, and income inequality on older adults' risk of OUD using longitudinal data analysis. We merged the 2013-2018 Medicare population (aged 65+) data to the American Community Survey 5-year county-level estimates to create a person-year dataset (N = 47,291,217 person-years) and used conditional logit fixed-effects modeling to test whether changes in individual- and county-level covariates alter older adults' risk of OUD. Moreover, we conducted race/ethnicity-specific models to compare how these associations vary across racial/ethnic groups. At the county-level, a one-unit increase in social isolation (mean = -0.197, SD = 0.511) increased the risk of OUD by 5.5 percent (OR = 1.055; 95% CI = [1.018, 1.094]) and a one-percentage-point increase in the working population employed in primary industry decreases the risk of OUD by 1 percent (OR = 0.990; 95% CI = [0.985, 0.996]). At the individual-level, increases in the Medicare Hierarchical Condition Categories risk score, physical comorbidity, and mental comorbidity all elevate the risk of OUD. The relationship between county-level social isolation and OUD is driven by non-Hispanic whites, while Hispanic beneficiaries are less sensitive to the changes in county-level factors than any other racial ethnic groups. Between 2013 and 2018, US older adults' risk of OUD was associated with both ecological and individual factors, which carries implications for intervention. Further research is needed to understand why associations of individual factors with OUD are comparable across racial/ethnic groups, but county-level social isolation is only associated with OUD among non-Hispanic white beneficiaries.

Indexed as

MedicareOpioid-Related DisordersAgedEthnicityHumansRacial GroupsSocial IsolationUnited StatesFixed-effects modelingMedicaidMedicareOlder adultsOpioid use disorderRacial/ethnic disparitiesSocial isolation

Identifiers

PMID35430465
PMCPMC10211474
OpenAlexW4223560128

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.