Evidence map›Paper›PMID 32660219›Full record

ArticleEpidemiology and health2020

Factors associated with health-related quality of life in a working population in Singapore.

Dhiya Mahirah, Charlotte Sauter, Thuan-Quoc Thach, Gerard Dunleavy, Nuraini Nazeha, George Christopoulos, Chee Kiong Soh, Josip Car

Abstract read
In one paragraph

Article in Epidemiology and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Association of Subjective Quality and Quantity of Sleep with Quality of Life among a General Population.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Factors Associated with Health-Related Quality of Life among Government Employees in Putrajaya, Malaysia.International journal of environmental research and public health · 2021
    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

8 authors.

Dhiya MahirahCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Charlotte SauterCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Thuan-Quoc ThachCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Gerard DunleavyCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Nuraini NazehaCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
George ChristopoulosDivision of Strategy, Management and Organisation, Nanyang Business School, College of Business, Nanyang Technological University, Singapore.
Chee Kiong SohSchool of Civil and Environmental Engineering, College of Engineering, Nanyang Technological University, Singapore.
Josip CarCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the determinants of health-related quality of life (HRQoL) among workers in Singapore.

methodsWe analysed data from a cross-sectional study of 464 participants from 4 companies in Singapore. Physical and mental components of HRQoL were assessed using the Short-Form 36 version 2.0 survey. A generalized linear model was used to determine factors associated with the physical component summary (PCS) and mental component summary (MCS) scores of HRQoL.

resultsThe overall mean PCS and MCS scores were mean±standard deviation 51.6±6.7 and 50.2±7.7, respectively. The scores for subscales ranged from 62.7±14.7 for vitality to 83.5±20.0 for role limitation due to emotional problems. Ethnicity, overweight/obesity, and years working at the company were significantly associated with physical HRQoL, and age and stress at work were significantly associated with mental HRQoL. Moreover, sleep quality was significantly associated with both physical and mental HRQoL.

conclusionsThese findings could help workplaces in planning strategies and initiatives for employees to maintain a worklife balance that encompasses their physical, emotional, and social well-being.

Indexed as

Quality of LifeAdultCross-Sectional StudiesEmploymentFemaleHumansMaleMiddle AgedOccupational HealthSingaporeSocioeconomic FactorsSurveys and QuestionnairesWorkplaceYoung AdultOccupational healthQuality of lifeSingaporeWorkplace

Identifiers

PMID32660219
PMCPMC7871151

What OpenQuestion holds

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LicenceCC BY
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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.