PMID- 34394765
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 1871-2584 (Print)
IS  - 1871-2576 (Electronic)
IS  - 1871-2576 (Linking)
VI  - 17
IP  - 3
DP  - 2022
TI  - Applied Research in Quality of Life: A Computational Literature Review.
PG  - 1433-1458
LID - 10.1007/s11482-021-09969-9 [doi]
AB  - As quality of life (QoL) is a highly interdisciplinary topic with a multitude of 
      related research areas, it is beneficial to avail researchers of an overview of 
      the different streams explored in the field. Furthermore, knowledge of prominent 
      sub-domains helps researchers identify links and overlaps between QoL and their 
      fields of interest. To meet these needs, a text-mining-based computational 
      literature review (CLR) of the journal of Applied Research in Quality of Life 
      (ARQOL) was conducted using a machine learning process, latent Dirichlet 
      allocation (LDA), in combination with selection criteria for the decision on the 
      number of topics. The outcome provides the reader with a list of the twelve most 
      heavily discussed topics: 1) consumption & materialism, 2) character strength, 3) 
      spirituality, religiousness & personal beliefs, 4) inequality, 5) leisure & 
      tourism, 6) health related QoL (HRQoL) I, 7) quality of working life (QWL), 8) 
      childhood & adolescence, 9) disparity & development, 10) disorder, 11) community 
      issues, and 12) health related QoL (HRQoL) II. In addition, authors, titles, and 
      publication dates are listed for the top-5-ranked papers that most typify these 
      topics. Subsequent content summaries of these papers reveal more detailed 
      information, such as measurement constructs and theories.
CI  - (c) The International Society for Quality-of-Life Studies (ISQOLS) and Springer 
      Nature B.V. 2021.
FAU - Weismayer, Christian
AU  - Weismayer C
AUID- ORCID: 0000-0003-1143-5651
AD  - Department of Sustainability, Governance, and Methods, Modul University, Am 
      Kahlenberg 1, 1190 Vienna, Austria. GRID: grid.425862.f. ISNI: 0000 0004 0412 
      4991
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20210809
PL  - Netherlands
TA  - Appl Res Qual Life
JT  - Applied research in quality of life
JID - 101313787
PMC - PMC8349703
OTO - NOTNLM
OT  - Applied Research in Quality of Life (ARQOL)
OT  - Computational literature review (CLR)
OT  - Latent Dirichlet allocation (LDA)
OT  - Machine learning
OT  - Scientometrics
OT  - Text mining
COIS- Conflicts of Interest/Competing InterestsNone.
EDAT- 2021/08/17 06:00
MHDA- 2021/08/17 06:01
PMCR- 2021/08/09
CRDT- 2021/08/16 05:53
PHST- 2021/03/05 00:00 [received]
PHST- 2021/07/15 00:00 [accepted]
PHST- 2021/08/17 06:00 [pubmed]
PHST- 2021/08/17 06:01 [medline]
PHST- 2021/08/16 05:53 [entrez]
PHST- 2021/08/09 00:00 [pmc-release]
AID - 9969 [pii]
AID - 10.1007/s11482-021-09969-9 [doi]
PST - ppublish
SO  - Appl Res Qual Life. 2022;17(3):1433-1458. doi: 10.1007/s11482-021-09969-9. Epub 
      2021 Aug 9.