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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Detalhes bibliográficos
Autor principal:	Maika Nariai (22676447) (author)
Outros Autores:	Osamu Wada-Hiraike (162623) (author), Eri Maeda (536672) (author), Masayo Matsuzaki (18630699) (author), Mayuyo Mori-Uchino (6704801) (author), Maho Furukawa (22676450) (author), Yuki Enomoto (4955968) (author), Hiromi Ga (22676453) (author), Risa Takai (22676456) (author), Miyuki Harada (5916098) (author), Yutaka Osuga (456513) (author), Yasushi Hirota (120700) (author)
Publicado em:	2025
Assuntos:	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
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Resumo:	<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>

Multiple regression analyses of factors associated with work productivity and QoL.

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