ArticleWork (Reading, Mass.)2024
Impact of employment status and work setting on body weight and health behaviors among people with obesity.
Article in Work (Reading, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
- Associations of work-related extended availability with overweight and obesity among Chinese workers.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe impact of employment and the work-from-home (WFH) setting on body weight among people with obesity is unknown.
objectiveThis study examined the relationship between employment status, WFH setting, and change in body weight among adults with obesity during the COVID-19 pandemic.
methodsPatients from an obesity medicine clinic completed an online survey in 2022 to assess health, work, and lifestyle behaviors. Multiple regression models examined the association between WFH status and change in body weight.
resultsThe analytical sample included 380 patients (81.9% female, mean age 52.5 years, mean body mass index 43.25, 50.0% non-Hispanic White, 25.7% non-Hispanic Black, 18.7% Hispanic, 5.7% other ethnicity). During the pandemic, 28.7% were employed in a WFH setting (73.4% of this subgroup were in a WFH setting only), 36.1% were employed but not in a WFH setting, 11.8% were unemployed, and 23.4% were retired. Mean body weight change for participants who partially WFH during the pandemic was +5.4 (±7.2) % compared to those completely WFH -0.3 (±9.8) % (P = 0.006). After adjusting for key demographics, participants who were partially WFH gained 7.8% more weight compared to those completely WFH (β= 7.28, SE = 1.91, p < 0.001). The most significant predictors for weight gain after adjusting for WFH frequency (partially vs. completely) included overeating (aOR 11.07, 95% CI 3.33-36.77), more consumption of fast food (aOR 7.59, 95% 2.41-23.91), and depression (aOR 6.07, 95% CI 1.97-18.68).
conclusionThese results show that during the COVID-19 pandemic, the WFH hybrid (combination of office and WFH) setting is associated with greater weight gain compared to those who completely WFH in people with obesity. Risk factors include overeating, higher fast food consumption, and depression.
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.