ライフサイエンスコーパス: gender

1 minating disparities in viral suppression by gender.

2 hest tightness during exercise, dyspnoea and gender.

3 included specific situations, location, and gender.

4 ross several domains including ethnicity and gender.

5 ing logistic regression adjusted for age and gender.

6 emature deaths averted for all adults and by gender.

7 ing logistic regression adjusted for age and gender.

8 ization, based on cognitive understanding of gender.

9 endent on grandparent caregivers' status and gender.

10 s with/without CVD, matched for age, BMI and gender.

11 ogenic oropharyngeal dysphagia regardless of gender.

12 siveness of ECFCs to FIR include smoking and gender.

13 o oral health impacts were different between genders.

14 espans between the two genetically identical genders.

15 contraindications was comparable between the genders.

16 ication for biopsy across all age groups and genders.

17 ion groups, classified according to ages and genders.

18 ctively, in FIR-responsive CAD ECFCs in both genders.

19 tical for peak bone mass acquisition in both genders.

20 ontal forms of social differentiation across genders.

21 ions identified were specific to one or both genders.

22 on [SD], 4.6 years; range, 20-88 years; male gender, 41.3%) were identified.

23 +/- 6.26 vs. 53.8 +/- 8.4 years, P = 0.661), gender (52.94% male vs. 45.45% female, P = 0.669), and e

24 After adjusting for age, gender, Acute Physiology and Chronic Health Evaluation I

25 17 vs < 3 yr, 2.1; 95% CI, 1.5-3.1) and male gender (adjusted odds ratio for females, 0.76; 95% CI, 0

26 Complexities of sexuality and gender affect HIV vulnerability for this group, includin

27 nd disease, and how the social constructs of gender affect the behaviour of the community, clinicians

28 tions in TGW and transgender men (TGM) using gender affirming hormones and on directly observed dosin

29 ite professional recommendations to consider gender-affirming hormone and surgical interventions for

30 unction of gender incongruence diagnosis and gender-affirming hormone and surgical treatment in the e

31 arranted in a transgender patient requesting gender-affirming hormones or surgery, the potential risk

32 ncongruence, the use of medical and surgical gender-affirming interventions, and appropriate monitori

33 Three of 6 had gender-affirming surgeries prior to transplant surgery,

34 ent lends support to the decision to provide gender-affirming surgeries to transgender individuals wh

35 the first systematic review of all available gender-affirming surgery (GAS) publications across all p

36 gnosis, the longitudinal association between gender-affirming surgery and reduced likelihood of menta

37 However, increased time since last gender-affirming surgery was associated with reduced men

38 iteria for gender dysphoria and criteria for gender-affirming treatment, has training and experience

39 onal hazards models (controlling for patient gender, age at index diagnosis of IC, and diagnosis with

40 -0.58/ng/mL; p = 0.005) after adjustment for gender, age, BMI and smoking.

41 rforming an IVI, factors such as a patient's gender, age, number of previous injections, and provider

42 classified according to income, WHO region, gender, age, occupation and publication date.

43 e, logistic regression analyses adjusted for gender, age, smoking, fasting status, and lipid-modifyin

44 clinicopathological features such as patient gender, age, tumor location, tumor grade, or mismatch re

45 We analyzed the LCB plasma profile in a gender-, age-, and BMI-matched subgroup of the CoLaus co

46 nts plus 33 healthy controls (HC) matched on gender, ages, and level of education, were recruited in

47 ycopeptides were found to be associated with gender and 41 to be associated with age.

48 sociated with 90-day mortality were: P: age, gender and ACLF type; I: drug, infection, surgery, and v

49 Male gender and age significantly affect the state-wise speed

50 ank for 5000 participants, balanced for age, gender and BMI.

51 were identified and matched 1-1 according to gender and calendar year of diagnosis with patients diag

52 included in a multinomial model, only female gender and days in ICU with hyperinflammation were assoc

53 ated to stress, more so when personalized by gender and diagnosis.

54 Gender and duration of diabetes did not have statistical

55 e which is concerned with how socioeconomic, gender and ethnic disparities combine to lead to varied

56 Gender and obesity were more likely to have multiplicati

57 ) and n=16 healthy controls matched for age, gender and physical activity (HC).

58 h previously developed equations for AEX (by gender and race), and found that the ANN models led to t

59 s at lower rates than novel contributions by gender and racial majorities, and equally impactful cont

60 ties, and equally impactful contributions of gender and racial minorities are less likely to result i

61 counted: For example, novel contributions by gender and racial minorities are taken up by other schol

62 natomic distributions of infection into four gender and sexual behavior categories: (i) cisgender men

63 ed with changes in mean HFMSE score, whereas gender and SMN2 copy number were not.

64 sidered both radiomic and clinical features (gender and smoking status) reached a diagnostic accuracy

65 eating an enabling environment by addressing gender and social norms, however, is key to reducing sti

66 iate fMRI analyses (n = 65), we examined how gender and socioeconomic status (SES) may influence brai

67 structed to evaluate the association between gender and survival after adjustment for age, gender, ca

68 Although an association between gender and the attempt to negotiate was not detected, a

69 for physical inactivity (p < 0.0005 for both genders) and alcohol consumption (p < 0.0005 for men).

70 Cox regression analysis controlling for age, gender, and a documented diagnosis of macular degenerati

71 After adjusting for age, gender, and baseline RV/LV ratio, pulmonary artery systo

72 After adjusting for age, gender, and cardiovascular risk factors, only mean oxyge

73 tus, adjusting for age, participant-reported gender, and changes in incidence over time.

74 After adjusting for age, gender, and comorbidities, chemotherapy in the past 4 we

75 nts appears to be principally driven by age, gender, and comorbidities.

76 cci serogroup B, Y, or C, adjusting for age, gender, and comorbidities.

77 serogroups remained after adjusting for age, gender, and comorbidities.

78 g IMD-W cases could not be explained by age, gender, and comorbidities.

79 Race, gender, and corticosteroids apparently did not influence

80 l corneal thickness were younger age, female gender, and diabetes.

81 PLHIV randomly matched by age (+/-4 years), gender, and education with 5 HIV-uninfected individuals

82 eyes, sample size issues, demographics (age, gender, and ethnicity), and whether such studies should

83 Age, gender, and frailty were evaluated as association modifi

84 der approaches for women and men adjusted by gender, and legislative actions similarly could be imple

85 sed eye drop cost included older age, female gender, and race or ethnicity.

86 that were 1:4 variable ratio matched on age, gender, and recent healthcare use.

87 ing 1986-2016 with LNB (n = 2067), created a gender- and age-matched comparison cohort from the gener

88 ng of status perception and implications for gender- and status-based impression formation are discus

89 h Africa, recruiting 909 cases and 917 age-, gender-, and residence-matched controls.

90 Age, gender, anti-VEGF treatment type, number of treatments,

91 Female gender (AOR = 2.50; 95%CI: 1.51-4.15), age 36-45 (AOR =

92 r author gender with first and middle author gender, as well as association of first author gender wi

93 People's implicit gender associations are strongly predicted by gender ass

94 ender associations are strongly predicted by gender associations encoded in the statistics of the lan

95 or syndrome and higher-order scales for each gender, at different ages, rated by different informants

96 Our study sheds light on the importance of gender balance in medical imaging datasets used to train

97 munication on COVID-19, which may need to be gender based, and it unveils a domain of gender differen

98 lections, using the conventional weight- and gender-based CER estimation.

99 Studies examining gender-based differences in outcomes of patients experie

100 Height explains a substantial proportion of gender-based disparity in waitlist mortality among liver

101 ces related to sexual, gender-based, and non-gender-based harassment among registrants at AADR annual

102 rceptions and experiences related to sexual, gender-based, and non-gender-based harassment among regi

103 After adjusting for age, gender, baseline BCVA and AMD subtype, A (protective) al

104 levels showed a significant association with gender, being on average ~30% higher in females.

105 We also observed consistent gender bias at all stages: the majority of male scientis

106 We discuss the reasons for gender bias in intergenerational repeat instability and

107 ve established predictors of OA such as age, gender, BMI and race.

108 There were no differences in gender, BMI, % body fat, visual acuity or contrast sensi

109 that certain demographic factors (e.g. age, gender, BMI, etc.) significantly affect levels of leukoc

110 decile) in 12%, with no differences based on gender but higher CCI in patients with fatty and cryptog

111 Predictor variables included gender, calendar year, geography, years since medical sc

112 ender and survival after adjustment for age, gender, cardiac arrest rhythm, witnessed status, bystand

113 ren's perceptual weight attributed to F0 for gender categorization was adult-like around the age of 6

114 r the MD (P = 0.7) after adjustment for age, gender, CCT and history of glaucoma surgery.

115 We assessed the association between gender (cisgender or transgender) and (1) retention in c

116 re warranted to examine whether the observed gender collections gap results from structural inequitie

117 roach and acknowledge the importance of age, gender, comorbidities, and both social and programmatic

118 acteristics associated with self-harm (e.g., gender, country of origin), as the Department of Immigra

119 r-order cognitive task, differs across voice gender cues.

120 not significantly associated with resident's gender, dementia, functional status, staffing level, or

121 Further stratification analysis by both genders demonstrated the double peak phenomenon in the y

122 amine country-level associations between the gender development index and the expected length of time

123 The CCT, axial length, age, and gender did not significantly affect the difference in me

124 of finding a DV, but healthcare setting and gender did not.

125 ences in impulsive choice could be linked to gender differences across multiple neuropsychiatric cond

126 Gender differences in attitudes and behavior are sizable

127 This finding contrasts the gender differences in common neurodegenerative diseases.

128 Development countries (n = 21,649) to study gender differences in COVID-19-related beliefs and behav

129 n the developmental system that produces sex/gender differences in human brain and behavior.

130 ack of detail regarding clinical revenue and gender differences in practice style.

131 the existence of deeply rooted or intrinsic gender differences in preferences that materialize more

132 be gender based, and it unveils a domain of gender differences: behavioral changes in response to a

133 Gender disparities in authorship of heart failure (HF) g

134 Gender disparities persist in many aspects of working li

135 p in schooling had nearly closed by 2018 but gender disparities remained acute in parts of sub-Sahara

136 atics (STEM) fields, among other undesirable gender disparities.

137 the results of an analysis that compared the gender distribution of authors on 1893 medical papers re

138 nd non-autistic individuals, transgender and gender-diverse individuals score, on average, higher on

139 gions, reflective of the ethnic, racial, and gender diversity in this global epidemic.

140 tal changes in recognizing and understanding gender diversity.

141 Female gender, drug injection, and methadone doses <60 mg were

142 wledgeable about the diagnostic criteria for gender dysphoria and criteria for gender-affirming treat

143 ces of this treatment for youth experiencing gender dysphoria.

144 knowledgeable about diagnostic criteria for gender dysphoria/gender incongruence, the use of medical

145 This study highlights that progressive gender egalitarian values at a national level might not

146 performance (Eriksson et al. 2020), national gender egalitarian values were positively associated wit

147 CV RNA prevalence was associated with female gender, employment, younger age, and shorter duration of

148 ntion could help accelerate progress towards gender equality and combating HIV/AIDS.

149 World Conference on Women in Beijing-placed gender equality and reproductive health and rights at th

150 traception were correlated with increases in gender equality and with women's time in education.

151 We suggest that economic development and gender equality in rights go hand-in-hand with a reshapi

152 The so-called "gender-equality paradox" is the fact that gender segrega

153 0.44 to -0.11], p < 0.001); attitude towards gender equity (ES [95% CI] = 0.53 [0.27-0.79] versus 0.2

154 CI: -5.83-3.45; p < 0.001; attitude towards gender equity: aMD = 1.02; 95% CI: 0.65-1.40; p < 0.001;

155 Covariates included age, gender, ethnicity, blood pressure, body mass index, and

156 0 years ago and responded to questions about gender, fellowship training, state of practice, and sala

157 Pre-specified subgroup analyses of gender, ferritin < 25 ug/L and fatigue >= 4 points, as w

158 This decrease in mHR is independent of gender, fitness, and lifestyle, affecting in equal measu

159 te of friendships, common friends, and mixed-gender friendships in pairs of students who were assigne

160 The observed gender gap in collections was highly persistent across y

161 The gender gap in physician pay is often attributed in part

162 Globally, the gender gap in schooling had nearly closed by 2018 but ge

163 However, the gender gap remains at many subspecialty conferences, esp

164 stics, i.e., HIV transmission risk group and gender, geographic region, year of HIV diagnosis, and CD

165 mHg), respectively, after adjusting for age, gender, glaucoma, age-related macular degeneration, diab

166 with increased eye drop cost included female gender, greater number of years in practice, practicing

167 ms in place for minority fellows or specific gender groups, including procedures to report issues of

168 f research, type of peer review and reviewer gender had little or no impact.

169 3 [P < 0.001] and 2.80 [P = 0.001]) and male gender (hazard ratio, 1.36 [P = 0.03] and 1.87 [P = 0.02

170 % confidence interval [CI], 1.01-1.07), male gender (HR, 2.48; 95% CI, 1.21-5.05), history of pre-LT

171 ared with Chinese Americans, older age, male gender, hypertension, diabetes, greater axial length (AL

172 e of prenatal androgen on the development of gender identity in subjects born as males.

173 Gender identity is a core feature of human experience, y

174 The term transgender refers to persons whose gender identity is different from that recorded at birth

175 f human experience, yet our understanding of gender identity is shifting with broader societal change

176 Acceptance of gathering gender identity was high (96%).

177 erences correlate with sexual orientation or gender identity, although the causes of these brain/beha

178 In humans, the affected outcomes include gender identity, sexual orientation, and children's sex-

179 s vary by race, sex, sexual orientation, and gender identity.

180 The most striking phenotypes-gender imbalance and splenic marginal zone B-cell lympho

181 bility of the findings may be limited by the gender imbalance, high educational attainment, survival

182 re of the home and family, may contribute to gender imbalances in science, technology, engineering an

183 e lists of neuroscience articles show marked gender imbalances.

184 s that HIV status, sexual risk category, and gender impact gut microbial community alpha-diversity.

185 ne's own body affects the sense of one's own gender in a dynamic, robust, and automatic manner.

186 social comparisons, local equity norms, and gender in environmental policies using monetary incentiv

187 n lipid composition as a function of age and gender in genetically identical male and female Daphnia

188 akes per minute was associated with resident gender in that male residents had increased number of in

189 inicians and researchers to consider sex and gender in their approach to diagnosis, prevention, and t

190 lytic prescriptions in 2015 as a function of gender incongruence diagnosis and gender-affirming hormo

191 h the general population, individuals with a gender incongruence diagnosis were about six times as li

192 tion study of transgender individuals with a gender incongruence diagnosis, the longitudinal associat

193 ons for transgender individuals experiencing gender incongruence, the long-term effect of such interv

194 out diagnostic criteria for gender dysphoria/gender incongruence, the use of medical and surgical gen

195 Gender independently predicted income in all 3 analyses

196 Age, gender, indications and therapeutic procedures were not

197 , 2018 of programmes that sought to decrease gender inequalities and transform restrictive gender nor

198 We examine change in multiple indicators of gender inequality for the period of 1970 to 2018.

199 ed the thalamus volume to time since stroke, gender, intracortical volume, age, and lesion volume.

200 We found that gender is a significant effect modifier of thalamic GABA

201 to show inconsistent conclusions for whether gender is associated with the immunotherapy response.

202 This so-called voice gender is primarily characterized by speakers' mean fund

203 rameters (i.e., treatment group, time-point, gender, jaw, craniofacial growth, gingival biotype, bucc

204 reoperative factors examined were age, race, gender, laterality, insulin use, hemoglobin A1c, creatin

205 VA, the distribution of race/ethnicity, age, gender, lens status, macula status, and lattice degenera

206 There were no differences in age, gender, lung function, exercise capacity and quantitativ

207 +/- 17.2 short-term mechanical ventilation), gender (males: 55.6% prolonged acute mechanical ventilat

208 recruited 20 patients and 10 healthy age and gender-matched control subjects in this cross-sectional

209 62 individuals with 22q11.2DS and 57 age-and-gender-matched controls (aged 6-31).

210 Males and females with ASD and age- and gender-matched controls participated in a one-back lette

211 65 SCZ with 65 age and gender-matched HC and 39 SIB with 39 matched HC underwen

212 emonstrated a significant difference between genders: mean of 0.29+/-0.12 mm(2) in men and 0.34+/-0.1

213 Frailty was independent of age, gender, measures of pulmonary dysfunction (PaO2, forced

214 es, (iii) cis-heterosexual females, and (iv) gender minorities assigned female at birth.

215 ged groups (ethnic minorities and sexual and gender minorities).

216 860 individuals who completed information on gender, neurodevelopmental and psychiatric diagnoses inc

217 hort for HPV18/31/33 were significant in the gender-neutral arm and 150% and 40% stronger than in the

218 cation was also predicted, but only with the gender-neutral strategy.

219 ross-sex shift in gay men who recalled being gender nonconforming as children in the right superior f

220 by cross-country differences in essentialist gender norms regarding math aptitudes and appropriate oc

221 ender inequalities and transform restrictive gender norms to improve the health and wellbeing of 0-24

222 vior, cooperation (or the lack thereof), and gender norms, and how we can use disgust to better activ

223 ith a reshaping rather than a suppression of gender norms, with the emergence of new and more horizon

224 nowledge and behaviors, decision-making, and gender norms.

225 state life table models with covariates age, gender, occupational position, smoking, physical activit

226 or persistent activity at 3 months were male gender (odds ratio [OR] 0.54, 95% confidence interval [C

227 cally significant association between female gender (odds ratio [OR], 1.90; 95% confidence interval [

228 The gender of the samples ranged from 20% to 100% female, wi

229 ts of 19.8 h of audio matched on the age and gender of the speaker.

230 The age at diagnosis and the gender of the uveal melanoma patients with BAP1 germline

231 NA sequencing analysis was performed in both genders of FIR-responsive and FIR-non/unresponsive ECFCs

232 Genders of first author presenters of papers and non-pap

233 Genders of program committee members, first author main

234 No clear effects of gender on rates of hypersensitivity pneumonitis have bee

235 Interaction term between hyperlipidemia and gender or obesity was significant for unilateral VI.

236 Female gender (OR 3.50; 95% CI: 1.37-8.94) and fellow involveme

237 at OSFI results of 0.3 or more (but not age, gender, or any preoperative sign) was a good predictor o

238 gmatism (P = .02-.049) and FSSC and BSSC and gender (P = <.001-.049).

239 57), hypergastrinemia (P = 0.062) and female gender (P = 0.146) in the GHP patients who had neoplasti

240 alence was not significantly associated with gender (P = 0.49), region of habitation (P = 0.11), body

241 ariate stepwise analysis including age, male gender, paroxysmal atrial fibrillation, basal QTc values

242 Persistent rhinitis was associated with male gender, paternal and maternal history of atopy, eczema,

243 Here, we investigate whether gendered patterns are present in neuroscience citations.

244 Further, we contend the gender pay gap may arise due to cultural beliefs about t

245 fidence gap-commands attention to reduce the gender pay gap.

246 After adjusting for age, gender, Pediatric Risk of Mortality score, and severity

247 present in a number of sub-analyses based on gender, prior disease status, and treatment discontinuat

248 hazards regressions that controlled for age, gender, race or ethnicity, hemoglobin A1c, duration of d

249 was calculated by year, 10-year age groups, gender, race, and region.

250 %; P = 0.04), but showed no association with gender, race, body mass index, use of spectacles or cont

251 Multivariable models were adjusted for age, gender, race, diagnosis, central corneal thickness, foll

252 and demographic information, including age, gender, race, ethnicity, affected eye, subtype, stalk or

253 to collect and publicize data on grantees by gender, race, ethnicity, and location from neuroscience

254 tive reference values for AEX, based on age, gender, race, height and weight, and by using artificial

255 Clinical variables, including age, gender, race, hemoglobin A1C levels, blood pressure, cho

256 ipients (matching variables: transplant age, gender, race, pretransplant dialysis, transplant center,

257 uded in a regression analysis alongside age, gender, race/ethnicity and body mass index, the area und

258 icant trends, with covariates including age, gender, race/ethnicity, and primary insurance.

259 greater scientific community (i.e., those of gender, race/ethnicity, socioeconomic background, sexual

260 Comparisons were made to the gender ratio of board-certified ophthalmologists.

261 fied during the period of 2009-2018 with the gender ratio of male to female 2.16:1.

262 gnificant improvements in health-related and gender-related indicators; however, only ten (16%) showe

263 ational signature analysis revealed age- and gender-related mutagenesis mechanisms, characterized by

264 ual, or gay) and having attractions based on gender role or expression rather than genital anatomy.

265 atory status, birth weight, gestational age, gender, ROP treatment method, postmenstrual age at treat

266 d "gender-equality paradox" is the fact that gender segregation across occupations is more pronounced

267 ons similarly could be implemented in a more gender-sensitive way.

268 However, studying how status and gender shape deliberate impression formation is difficul

269 significant difference in abundance between genders showed no abundance difference at the protein gr

270 After adjustment for age, gender, smoking status, hepatitis C and hepatitis B viru

271 or risk factors for carriage, including male gender, smoking, and frequent social mixing.

272 luated programmes that seek to transform the gendered social norms undermining the health and wellbei

273 of personal characteristics, including race, gender, socioeconomic background, sexual orientation, re

274 the sexes, and this has been correlated with gender-specific differences in the composition of the in

275 y/expression assays showed ibuprofen induced gender-specific proteasome and immunoproteasome dysfunct

276 alyzed annual HIV care continuum outcomes by gender status from January 2001 through December 2015 am

277 Here we examine whether gender stereotypes are reflected in the large-scale dist

278 Gender stratification showed that 31.0% of the males wer

279 Number of patients, age, gender, surgeon, and osteotomy size were comparable amon

280 o men and women in rural Uganda will require gender tailoring to fit local contexts.

281 After adjusting for age, iris color, and gender, the correlation remained significant only for su

282 After adjusting for age, race, and gender, the OR comparing the odds of each neurodegenerat

283 n the non-diabetic group in addition to age, gender, total-cholesterol and systolic blood pressure (S

284 Unite for a Better Life (UBL) is a gender-transformative intervention delivered to men, wom

285 (ratio 1:2) was performed on transplant age, gender transplant year, renal function, and inotropic su

286 nts who did not (nonsurgical group) for age, gender, type of glaucoma, baseline IOP, and number and t

287 ns of the expected and observed frequency of gender used Chi-squared tests.

288 Female gender was associated with an ultimate diagnosis of IBS

289 male recipients demonstrated that donor male gender was associated with graft failure (HR = 2.87; P =

290 Of note, male gender was not associated with ICU mortality (OR 1.08 95

291 status, gestational age, breast-feeding, and gender were adjusted for within each multi-variable mode

292 Older age and female gender were associated risk factors with the development

293 GG/TG genotypes for rs7905446 and female gender were associated with better response to two SSRIs

294 Age group, race, and gender were included as covariates in multiple logistic

295 st and last author than would be expected if gender were unrelated to referencing.

296 Authors' genders were determined, and changes in authorship patte

297 The SWB differences between genders were significant using MLR analyses, which also

298 decrease in performance for underrepresented genders when a minimum balance is not fulfilled.

299 to evaluate the association of senior author gender with first and middle author gender, as well as a

300 nder, as well as association of first author gender with journal impact factor.Measurements and Main