ELIZA

return kwic search for factors out of >500 occurrences
295043 occurrences (No.82 in the rank) during 5 years in the PubMed. [no cache] 500 found

366) The aim of this research is to estimate the prevalence of excessive daytime sleepiness in an older population and associations with sociodemographic, health, and lifestyle factors using a cross-sectional, population-based study.

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PMID:24097933 DOI:10.1177/1010539513497783

2015 Asia-Pacific journal of public health

* Prevalence of and associations with excessive daytime sleepiness in an Australian older population.

- The aim of this research is to estimate the prevalence of excessive daytime sleepiness in an older population and associations with sociodemographic, health, and lifestyle factors using a cross-sectional, population-based study. Participants were men (1560) and women (1759), aged 55 to 85 years, enrolled in the Hunter Community Study, a longitudinal study of aging. Measurements were self-reported questionnaires, biochemical measures, and clinical measures. Of the 3319 participants, 3053 participants completed the Epworth Sleepiness Scale questionnaire. The prevalence of excessive daytime sleepiness was 15.3% overall and this was higher in males. In adjusted multivariate analysis, gender, working full time, body mass index, high-density and low-density lipoprotein cholesterol, Center for Epidemiologic Studies-Depression scale score, and Kessler psychological distress score were associated with excessive daytime sleepiness. Given the high prevalence of excessive daytime sleepiness observed in this study, further investigation and/or interventions to reduce adverse health outcomes, especially in males is warranted.

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(1)62 for	(12)10 related	(23)3 using	(34)2 during
(2)44 null	(13)8 on	(24)3 which	(35)2 from
(3)36 that	(14)7 have	(25)3 with	(36)2 including
(4)34 associated	(15)7 such	(26)2 (age,	(37)2 independently
(5)31 and	(16)6 may	(27)2 along	(38)2 involved
(6)29 in	(17)4 influence	(28)2 as	(39)2 jointly
(7)20 were	(18)4 significantly	(29)2 c-Jun	(40)2 other
(8)14 influencing	(19)4 to	(30)2 can	(41)2 produced
(9)13 are	(20)3 across	(31)2 contribute	(42)2 was
(10)13 of	(21)3 among	(32)2 contributing
(11)10 affecting	(22)3 like	(33)2 diagnostic

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--- WordNet output for factors --- Overview of noun factor The noun factor has 7 senses (first 4 from tagged texts) 1. (31) factor -- (anything that contributes causally to a result; "a number of factors determined the outcome") 2. (8) component, constituent, element, factor, ingredient -- (an abstract part of something; "jealousy was a component of his character"; "two constituents of a musical composition are melody and harmony"; "the grammatical elements of a sentence"; "a key factor in her success"; "humor: an effective ingredient of a speech") 3. (4) divisor, factor -- (one of two or more integers that can be exactly divided into another integer; "what are the 4 factors of 6?") 4. (1) agent, factor, broker -- (a businessman who buys or sells for another in exchange for a commission) 5. factor -- (any of the numbers (or symbols) that form a product when multiplied together) 6. factor -- (an independent variable in statistics) 7. gene, cistron, factor -- ((genetics) a segment of DNA that is involved in producing a polypeptide chain; it can include regions preceding and following the coding DNA as well as introns between the exons; it is considered a unit of heredity; "genes were formerly called factors") Overview of verb factor The verb factor has 3 senses (first 1 from tagged texts) 1. (2) factor, factor in, factor out -- (resolve into factors; "a quantum computer can factor the number 15") 2. factor -- (be a contributing factor; "make things factor into a company's profitability") 3. factor, factor in, factor out -- (consider as relevant when making a decision; "You must factor in the recent developments") --- WordNet end ---