ArticleJournal of occupational and environmental medicine2016
Chronic Condition Combinations and Productivity Loss Among Employed Nonelderly Adults (18 to 64 Years).
Article in Journal of occupational and environmental medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Costs of multimorbidity: a systematic review and meta-analyses.BMC medicine · 2022Pooled it
- Financial toxicity in lower urinary tract symptoms amongst men.BMC urology · 2025Article
- Lost Work Due to Burn-Related Disability in a US Working Population.European burn journal · 2024Article
- The Iterative Mindset Method: a neuroscientific theoretical approach for sustainable behavior change and weight-loss in digital medicine.NPJ digital medicine · 2023Review
- Chronic diseases and productivity loss among middle-aged and elderly in India.BMC public health · 2022Article
- Multimorbidity and exit from paid employment: the effect of specific combinations of chronic health conditions.European journal of public health · 2022Article
- Urban-rural differences in the impacts of multiple chronic disease on functional limitations and work productivity among Chinese adults.Global health action · 2021Article
- The Joint Effect of Physical Multimorbidity and Mental Health Conditions Among Adults in Australia.Preventing chronic disease · 2020Article
- Article
- Implementation of the Healthy Workplace Participatory Program in a Retail Setting: A Feasibility Study and Framework for Evaluation.International journal of environmental research and public health · 2019Article
- Implications of applying cumulative risk assessment to the workplace.Environment international · 2018Review
- Direct medical expenditures associated with Alzheimer's and related dementias (ADRD) in a nationally representative sample of older adults - an excess cost approach.Aging & mental health · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
objectiveWe examined the relationship between specific chronic condition combinations and productivity loss measured by missed work days among nonelderly employed adults with at least two physical chronic conditions of arthritis, diabetes mellitus, heart disease, and hypertension.
methodsWe analyzed data from the Medical Expenditure Panel Survey for the years 2004 to 2012.
resultsAdults with arthritis/diabetes/heart disease had the highest average missed work days (14.42). In the adjusted model, compared with adults with arthritis/hypertension, adults with diabetes/heart disease and arthritis/heart disease/hypertension had significantly higher missed work days, while adults with diabetes/hypertension had significantly lower missed work days.
conclusionSpecific chronic condition combinations have a high burden of disease in terms of productivity loss. Workplace health programs that address multiple health conditions at the same time should be implemented to reduce missed work days.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.