Multiple regression analyses of factors associated with work productivity and QoL.
<p>Forest plots show point estimates of beta coefficients and 95% confidence intervals (CIs) for each variable in the multiple regression models. A, absenteeism; B, presenteeism; C, overall work impairment; D, activity impairment; E, physical component summary (PCS); F, mental component summar...
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2025
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| _version_ | 1849927643270479872 |
|---|---|
| author | Maika Nariai (22676447) |
| author2 | Osamu Wada-Hiraike (162623) Eri Maeda (536672) Masayo Matsuzaki (18630699) Mayuyo Mori-Uchino (6704801) Maho Furukawa (22676450) Yuki Enomoto (4955968) Hiromi Ga (22676453) Risa Takai (22676456) Miyuki Harada (5916098) Yutaka Osuga (456513) Yasushi Hirota (120700) |
| author2_role | author author author author author author author author author author author |
| author_facet | Maika Nariai (22676447) Osamu Wada-Hiraike (162623) Eri Maeda (536672) Masayo Matsuzaki (18630699) Mayuyo Mori-Uchino (6704801) Maho Furukawa (22676450) Yuki Enomoto (4955968) Hiromi Ga (22676453) Risa Takai (22676456) Miyuki Harada (5916098) Yutaka Osuga (456513) Yasushi Hirota (120700) |
| author_role | author |
| dc.creator.none.fl_str_mv | Maika Nariai (22676447) Osamu Wada-Hiraike (162623) Eri Maeda (536672) Masayo Matsuzaki (18630699) Mayuyo Mori-Uchino (6704801) Maho Furukawa (22676450) Yuki Enomoto (4955968) Hiromi Ga (22676453) Risa Takai (22676456) Miyuki Harada (5916098) Yutaka Osuga (456513) Yasushi Hirota (120700) |
| dc.date.none.fl_str_mv | 2025-11-24T18:25:18Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0329154.g002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Multiple_regression_analyses_of_factors_associated_with_work_productivity_and_QoL_/30696719 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Microbiology Cell Biology Genetics Neuroscience Biotechnology Immunology Developmental Biology Science Policy Infectious Diseases treatment eligibility may potentially valid criterion 7 %) participants overall work impairment assess work productivity dysmenorrhea significantly affects 2064 women completed activity impairment questionnaire multiple regression analysis 36v2 health survey reduced work productivity dysmenorrhea score questionnaire severe dysmenorrhea group work productivity activity impairment dysmenorrhea score severe group reduced physical japanese women dysmenorrhea remained 555 women xlink "> severe groups sectional study scale cross menstrual pain medication use lunaluna ). impaired absenteeism general health daily activities confounding factors conducted using based self based cross &# 8805 |
| dc.title.none.fl_str_mv | Multiple regression analyses of factors associated with work productivity and QoL. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Forest plots show point estimates of beta coefficients and 95% confidence intervals (CIs) for each variable in the multiple regression models. A, absenteeism; B, presenteeism; C, overall work impairment; D, activity impairment; E, physical component summary (PCS); F, mental component summary (MCS); G, role/social component summary (RCS) scores.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_b83d8c5a2073582497e5c7506fc29a6b |
| identifier_str_mv | 10.1371/journal.pone.0329154.g002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30696719 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Multiple regression analyses of factors associated with work productivity and QoL.Maika Nariai (22676447)Osamu Wada-Hiraike (162623)Eri Maeda (536672)Masayo Matsuzaki (18630699)Mayuyo Mori-Uchino (6704801)Maho Furukawa (22676450)Yuki Enomoto (4955968)Hiromi Ga (22676453)Risa Takai (22676456)Miyuki Harada (5916098)Yutaka Osuga (456513)Yasushi Hirota (120700)MicrobiologyCell BiologyGeneticsNeuroscienceBiotechnologyImmunologyDevelopmental BiologyScience PolicyInfectious Diseasestreatment eligibility maypotentially valid criterion7 %) participantsoverall work impairmentassess work productivitydysmenorrhea significantly affects2064 women completedactivity impairment questionnairemultiple regression analysis36v2 health surveyreduced work productivitydysmenorrhea score questionnairesevere dysmenorrhea groupwork productivityactivity impairmentdysmenorrhea scoresevere groupreduced physicaljapanese womendysmenorrhea remained555 womenxlink ">severe groupssectional studyscale crossmenstrual painmedication uselunaluna ).impaired absenteeismgeneral healthdaily activitiesconfounding factorsconducted usingbased selfbased cross&# 8805<p>Forest plots show point estimates of beta coefficients and 95% confidence intervals (CIs) for each variable in the multiple regression models. A, absenteeism; B, presenteeism; C, overall work impairment; D, activity impairment; E, physical component summary (PCS); F, mental component summary (MCS); G, role/social component summary (RCS) scores.</p>2025-11-24T18:25:18ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0329154.g002https://figshare.com/articles/figure/Multiple_regression_analyses_of_factors_associated_with_work_productivity_and_QoL_/30696719CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306967192025-11-24T18:25:18Z |
| spellingShingle | Multiple regression analyses of factors associated with work productivity and QoL. Maika Nariai (22676447) Microbiology Cell Biology Genetics Neuroscience Biotechnology Immunology Developmental Biology Science Policy Infectious Diseases treatment eligibility may potentially valid criterion 7 %) participants overall work impairment assess work productivity dysmenorrhea significantly affects 2064 women completed activity impairment questionnaire multiple regression analysis 36v2 health survey reduced work productivity dysmenorrhea score questionnaire severe dysmenorrhea group work productivity activity impairment dysmenorrhea score severe group reduced physical japanese women dysmenorrhea remained 555 women xlink "> severe groups sectional study scale cross menstrual pain medication use lunaluna ). impaired absenteeism general health daily activities confounding factors conducted using based self based cross &# 8805 |
| status_str | publishedVersion |
| title | Multiple regression analyses of factors associated with work productivity and QoL. |
| title_full | Multiple regression analyses of factors associated with work productivity and QoL. |
| title_fullStr | Multiple regression analyses of factors associated with work productivity and QoL. |
| title_full_unstemmed | Multiple regression analyses of factors associated with work productivity and QoL. |
| title_short | Multiple regression analyses of factors associated with work productivity and QoL. |
| title_sort | Multiple regression analyses of factors associated with work productivity and QoL. |
| topic | Microbiology Cell Biology Genetics Neuroscience Biotechnology Immunology Developmental Biology Science Policy Infectious Diseases treatment eligibility may potentially valid criterion 7 %) participants overall work impairment assess work productivity dysmenorrhea significantly affects 2064 women completed activity impairment questionnaire multiple regression analysis 36v2 health survey reduced work productivity dysmenorrhea score questionnaire severe dysmenorrhea group work productivity activity impairment dysmenorrhea score severe group reduced physical japanese women dysmenorrhea remained 555 women xlink "> severe groups sectional study scale cross menstrual pain medication use lunaluna ). impaired absenteeism general health daily activities confounding factors conducted using based self based cross &# 8805 |