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1 s reversed (ORadj = 0.6 (0.4-0.7) for female gender).
2 e less anxious twin, controlling for age and gender.
3 d sepsis postadmission, regardless of age or gender.
4  and method of data collection, but not with gender.
5  affected differentially by ADHD subtype and gender.
6  results do not depend on ethnic matching or gender.
7  and degree attainment by race/ethnicity and gender.
8 robiota, BAs, and metabolic diseases in both genders.
9 ediate morphs being midway between the other genders.
10 e characteristics were not different between genders.
11 pared to normal subjects of similar ages and genders.
12 arnesoid X receptor (FXR) deficiency in both genders.
13 ) mice were born at Mendelian ratios in both genders.
14                                 According to gender, 15.2% of men and 20.4% of women had a second roo
15 : age, 7.3 +/- 5.5 versus 9.0 +/- 6.6 years; gender, 41% versus 49% male; Pediatric Risk of Mortality
16                 Prevalences were similar for gender across all age groups except for late AMD in the
17 w cases of IIH, yielding an overall age- and gender-adjusted annual incidence of 1.8 per 100 000 (95%
18 iations were assessed using age-adjusted and gender-adjusted multivariable regression models.
19  in non-Indigenous Australians after age and gender adjustment (17.7%, 95% CI, 14.5-21.0 vs. 6.4%, 95
20  in modulating Mp activity in BlaJ mice in a gender, age and muscle-dependent manner, but is unlikely
21          Adding 52-gene risk profiles to the Gender, Age, and Physiology index significantly improved
22 evalence, characteristics of PWID, including gender, age, and sociodemographic and risk characteristi
23 e interval: 1.16, 1.81) after adjustment for gender, age, education, family history of cardiovascular
24                                              Gender, age, income, geographic location, operation type
25 ot to disease duration or severity/activity, gender, age, or ASST response (inconsistent evidence).
26    Results were consistent across subgroups (gender, age, preadmission diseases, type of admission) a
27 re no differences between groups in terms of gender, age, smoking habits and indications for treatmen
28 ng was used to include patients of different gender, age, wound duration and type of surgery (general
29 ease progression when adjusting for baseline Gender-Age-Physiology stage and smoking status (hazard r
30  of metadata text contains information about gender and 21% about age.
31 diabetes-TKR risk association was similar by gender and across three categories of BMI.
32                                       Female gender and ADA positivity were associated with LOR (fema
33          In general, our results showed that gender and age have considerable impact on LA and RA siz
34                                       Female gender and antithrombotic use were associated with decre
35        Models evaluating interaction between gender and C9orf72 repeat expansions demonstrated that t
36 e of sex-specific differences between flower gender and colour morphs in nectar rewards.
37 ry within subgroups selected a priori (race, gender and delivery mode).
38  37% (in Vanuatu) of the association between gender and development, controlling for family socioecon
39 s testing by subtypes versus personalized by gender and diagnosis, and show that the subtype and pers
40                 PD-ICB were matched for age, gender and disease duration to 42 patients with PD witho
41 e GOS score after adjusting for patient age, gender and histological brain tumor diagnosis (beta = -0
42 tribute to many human diseases, such as age, gender and prior diagnoses, have not been considered in
43                   We explored the effects of gender and prior experience on aerobic and anaerobic ene
44 typic information about the donor, including gender and race, as well as for the analysis of a variet
45 ale and female) categorized faces varying in gender and racial typicality.
46 uium speakers even after controlling for the gender and rank of the available speakers.
47 e, meta-regression analyses showed that age, gender and sample size had no moderating effects on the
48 xplore the effects of C9orf72 on survival by gender and site of onset.
49 eat expansion in European subgroups based on gender and site of onset.
50 s (age, diagnostic delay and site of onset), gender and the presence of an expanded repeat in C9orf72
51 nt contrast/laterality; five for a different gender and/or race/ethnicity; and 15 in the opposite dir
52  We found that nectar reward differed across genders and colour morphs.
53 thy comparison subjects group-matched on IQ, gender, and age performed a passive avoidance task while
54 the day and throughout the week, across age, gender, and body mass index (BMI) groups, with the great
55 ogistic regression, with adjustment for age, gender, and caloric intake.
56  (active or inactive uveitis, control), age, gender, and central corneal thickness (CCT) were assesse
57 ction at birth in children with ALL and age, gender, and ethnicity matched controls to identify poten
58 rmuted blocks and was stratified by country, gender, and Follicular Lymphoma International Prognostic
59               After adjusting for age, race, gender, and follow-up years, the cross-lagged path coeff
60             Data on patient weights, height, gender, and HCQ dosage were extracted from the EMR.
61 zema severity/duration, age of introduction, gender, and race.
62 ntial inequalities in access along economic, gender, and racial lines persist.
63 logistic regression with adjustment for age, gender, and smoking.
64 tory courses regardless of academic, ethnic, gender, and socioeconomic profiles.
65 ressure after adjusting for PaO2:FIO2 ratio, gender, and the etiology of acute respiratory distress s
66                   After controlling for age, gender, and the presence of chronic conditions, cognitiv
67 ardless of department prestige or researcher gender, and the remaining four-fifths of faculty exhibit
68  automated method to extract labels for age, gender, and tissue from textual metadata and GEO data us
69 on and for a different contrast, laterality, gender, and/or race/ethnicity.
70 was associated with higher adult BMI in both genders, and differences were typically larger at older
71 y than boys to believe that members of their gender are "really, really smart." Also at age 6, girls
72 esults suggest the importance of considering gender as a biological variable in studies on the role o
73       Subgroup analysis revealed that female gender, aspirin intolerance and revision FESS were assoc
74 xperience lifelong gender dysphoria due to a gender assignment at birth that is incongruent with thei
75 ential role of female PIs in influencing the gender balance.
76 ave implemented initiatives to attain a more gender-balanced workforce with the introduction of famil
77 ition, exposure to armed attacks, sexual and gender-based violence, food security and feeding practic
78                                       Female gender, baseline albumin >/=3.5 g/dL, baseline total bil
79 riable regression analyses adjusted for age, gender, best-corrected visual acuity, and test duration
80 ing but the molecular mechanisms behind this gender bias are unclear.
81 sly unreported and statistically significant gender bias in favor of males (p = 0.0016), but none of
82 increased efforts to combat subtler forms of gender bias in scholarly publishing.
83 Clear cell renal cell carcinoma (ccRCC) is a gender-biased tumor.
84  birth country and weight, as well as infant gender, birth year and birth month.
85 ntified from among survey participants using gender, birthdate, and location.
86  for labour status, delivery mode, offspring gender, birthweight and gestational age.
87 5% CI 1.10-4.26)], after adjustment for age, gender, body mass index, diabetes duration, glycosylated
88                                              Gender, body mass index, weight, vascular access type, l
89 to investigate the relationship between age, gender, body weight, height, body mass index (BMI), and
90                                     Based on gender, both male and female gender showed significantly
91 Ar with lung cancer risk was similar in both genders but slightly stronger in former smokers and in p
92 alyses of treatment effect according to age, gender, Charlson comorbidity index, pathologic stage (pT
93  Among patients with SVR, advanced age, male gender, cirrhosis, decreased platelet count, and increas
94                       Increasing age, female gender, co-morbidities and confusion increased mortality
95                                       In the gender-combined analysis, we identified eight loci assoc
96        Gene-based association testing in the gender-combined dataset revealed eight loci associated w
97                                Observations: Gender confirmation surgery is a developing field in the
98 were not however consistent within the three genders; dark female and hermaphrodite flowers had highe
99 ing for resident characteristics (i.e., age, gender, dementia stage, function, comorbidity, psychoact
100 d in the brain of Crmp4-KO mice, mostly in a gender-dependent manner.
101 orders is higher in men vs women, suggesting gender-dependent regulation of their pathophysiology und
102              Our results reveal distinct age/gender-dependent structural changes in joint cartilage a
103                              When plotted as gender-dependent trends over time, all four conferences
104 f girls-were associated with higher national Gender Development Index values (R(2)=0.790).
105 ns had moderate to high correlation with the Gender Development Index.
106 nt time, prior kidney transplantation, race, gender, diabetes, and transplant date/waitlisting date.
107          Here we report that there is also a gender difference between pulmonary metastasis and lymph
108 rance in male and female mice, we observed a gender difference in EPO effects in weight control.
109 tients, yet the detailed mechanisms for this gender difference remain unclear.
110 rsonalized approach may be more sensitive to gender differences and to the impact of psychiatric co-m
111 s (RBANS), previous study showed significant gender differences for cognitive deficits in immediate a
112 tekeepers with the power to create or reduce gender differences in academic reputations.
113                                              Gender differences in BAs and microbiota may account for
114                                              Gender differences in child development have been extens
115 el processes and societal norms that lead to gender differences in child development in the early yea
116                   The current study examines gender differences in colloquium speakers at 50 prestigi
117                         In Mongolia, smaller gender differences in development were associated with i
118      Purpose To determine whether there were gender differences in full professorship after accountin
119                           Primary outcome of gender differences in full professorship was estimated b
120                                      Age and gender differences in LA were further explored.
121                                              Gender differences in social cognition are a long discus
122     Future education of rescuers should take gender differences into account.
123                      This study examined the gender differences of cognition using the measurement an
124 g and working memory than females, but these gender differences were not presented in schizophrenia p
125                           We found important gender differences, with female rescuers showing inferio
126             Conduit EFs and total EFs showed gender differences.
127 , so we investigated the role of cortisol in gender discrepancy in a zebrafish model of HCC.
128                  Our objective was to assess gender disparities in child development that might arise
129                                              Gender disparities in colloquium talks can arise through
130 with existing literature the results explain gender disparity in the development and types of degener
131                                              Gender disparity in the professional workforce compositi
132 t in men than women, but the reason for this gender disparity is not well understood.
133 han women, but the mechanistic basis of this gender disparity is obscure.
134 whether zebrafish could be used to study the gender disparity of HCC, we compared the difference of l
135 rafish as a useful animal model for study of gender disparity of HCC.
136 ly virilized (Prader score of 4/5), and both genders display significantly advanced bone ages and are
137 rences in BAs and microbiota may account for gender dissimilarity in metabolism and metabolic disease
138  in mean age (44 vs. 39 years; P = 0.121) or gender distribution (56% vs. 52% female; P = 0.766) betw
139  were no significant differences in the age, gender distribution, follow-up duration, or number of VF
140                                      Age and gender distribution, socioeconomic characteristics, and
141                                          The gender distributions across the trials were comparable,
142 groups, significant differences in mean age, gender distributions, and mean baseline VA were seen, re
143 ve and maintain salary equity and racial and gender diversity at all levels.
144 en and cis-MSM, indicating a need to address gender diversity within HIV research and programs.
145 ify neuronal distributions across animals or genders due to the size and complexity of the mammalian
146 ere associated with lesions independently of gender, duration and familial history of HS, body mass i
147 ost patients, we also collected data on age, gender, duration of CSU, presence of angioedema, activit
148 y, with or without surgery, to improve their gender dysphoria and to better align their physical and
149                                              Gender dysphoria describes the psychological distress ca
150        Transgender women experience lifelong gender dysphoria due to a gender assignment at birth tha
151 sing role in the assessment and treatment of gender dysphoria in transgender individuals.
152 ong been considered important factors in the gender earnings gap, but these factors are difficult to
153 a better understanding of the involvement of gender effects in the development of AD.
154 tion interventions that combine economic and gender empowerment/relationship skills building of women
155  combining economic empowerment of women and gender empowerment/relationship skills training has been
156 initiatives hold great promise for improving gender equality in academia around the globe.
157 and achievable goals to enhance and facility gender equality, equity, and diversity in transplantatio
158 wed less poverty, higher education, and more gender-equitable ideas were connected and conveyed prote
159 ey objectives were to (i) identify potential gender equity issues within the transplantation workforc
160  allowed us to distinguish between different genders, ethnicities, and ages (within 10 years).
161  linear regression models, adjusted for age, gender, ethnicity, Tanner stage, BMI, PA, and batch effe
162 se life events and PTSD symptoms in 23 mixed-gender FND patients.
163                                Stratified by gender, GAL3ST4 was found to be the susceptible gene onl
164 ity of a city, are associated with a smaller gender gap in activity and lower activity inequality.
165 se who invite and schedule speakers serve as gender gatekeepers with the power to create or reduce ge
166 a-analysis stratified for age, birth cohort, gender, geographic region, and time period of the study.
167 were collected from patient charts including gender, gestational age at birth, birthweight, stage of
168 und between expression of Claudin-2 and age, gender, grade, stage, or patients' survival time in EAC
169  with bevacizumab compared to a same age and gender group without wet AMD.
170          No patient with low Platelets, Age, Gender-Hepatitis B score at baseline or year 5 developed
171 20], p = 0.009) controlling for patient age, gender, history of cardiovascular disease, histological
172 dy, Raman microspectroscopy was utilized for gender identification based on dry bloodstains.
173 0 girls (63.9%) in the non-AD group (data on gender identification were missing for 17 patients).
174 ment at birth that is incongruent with their gender identity.
175         Specific correlates included age and gender-identity for demographic factors; physical activi
176 ticular characteristics of patients, such as gender, impulsivity, and severity of cannabis use, when
177 ified better cognition than patients in both genders in all examined MCCB scores.
178             We investigated the influence of gender incompatibility, including H-Y incompatibility, o
179 t with disparities in income and employment; gender inequities; a looming increase in the already ala
180    MINI: Mounting evidence demonstrates that gender inequity is perpetuated by language.
181  metrics that include sexual orientation and gender information variables; and increased data collect
182 n in children aged 0-5 y, adjusting for age, gender, insecticide-treated net (ITN) use, indoor residu
183                                A significant gender interaction was identified (p < 0.01).
184 ent personality profiles, (ii) studied their gender invariance, (iii) assessed their longitudinal (4
185        Analyses included the moderators age, gender, IQ, and scan site.
186 ferences between the sexes), suggesting that gender is functionally neutral with respect to non-repro
187 ill persist even if numerical parity between genders is reached, highlighting the need for increased
188 esponse was measured across the brain during gender labeling of varying intensities of angry, happy,
189 n the CMV positive group compared to age and gender matched CMV negative IBD patients (81.8% vs. 51.5
190  CI: 1.4, 18.9) compared with their age- and gender- matched counterparts with good glycemic control.
191                                  An age- and gender-matched control nonobstetric population was drawn
192  due to Urbach-Wiethe syndrome with age- and gender-matched control participants (n = 17).
193 , alcohol-dependent patients and 96 age- and gender-matched control subjects underwent functional mag
194 ed quality of life and compared with age and gender-matched control.
195       Patients were compared with 3 age- and gender-matched controls each randomly selected from the
196 mutation carriers (UMCs), FPAH patients, and gender-matched controls to investigate this variation.
197  of 121 oral cancer patients to 242 age- and gender-matched controls using a metagenomic multivariate
198 trol study of 487 SCC cases and 462 age- and gender-matched controls.
199 astatic breast cancer compared with age- and gender-matched controls.
200  days 1, 3, and 5 after injury, and age- and gender-matched controls.
201 diovascular death) were compared to age- and gender-matched controls.
202 ently depressed older adults and 52 age- and gender-matched healthy comparison subjects who underwent
203 erly patients (N = 28) with MDD and age- and gender-matched healthy controls (N = 18).
204                                              Gender-matched healthy controls (n=68) also underwent MR
205 ine patients with MND and 22 age-matched and gender-matched healthy controls were assessed with clini
206 enous tPA treatment, compared to 115 age and gender-matched healthy controls).
207 d a control group of 31 eyes from 31 age and gender-matched healthy subjects.
208 h partially preserved vision and 38 age- and gender-matched normally sighted controls to determine wh
209 during the year) while the other 27 age- and gender-matched subjects had good glycemic control (HbA1c
210  Healthy controls (n = 24; HC) were age- and gender-matched.
211  disease, indicating a hitherto unrecognised gender-mediated effect of the variant that requires furt
212 mitted to addressing the needs of sexual and gender minority (SGM) populations as a diverse group at
213 omosome karyotype, early embryos must remain gender-naive; our findings show that the mir-35 family m
214  the Health of Transsexual, Transgender, and Gender Nonconforming People by the World Professional As
215 , really smart." These findings suggest that gendered notions of brilliance are acquired early and ha
216                                         Male gender (odds ratio [OR] = 1.7, 95% confidence interval [
217  regression analysis revealed that only male gender (odds ratio, 1.82; 95% CI, 1.28-2.59), hypertensi
218 living in urban areas depends on the age and gender of each cohort as a result of biological and soci
219 y while human participants discriminated the gender of neutral and fearful faces filtered for low or
220 fects vary according to the race, as well as gender, of the subject.
221 istic regression analysis showed that female gender, older age, higher level of education, being unma
222       Little is known about the influence of gender on resuscitation performance which may improve fu
223                                The effect of gender on the incidence of root canal morphology was als
224                                         Age, gender, ONH diameter, and axial length were obtained fro
225  cell genotype, alpha+thalassaemia genotype, gender or age and CR1 cluster number or volume.
226 vacuum concentrate, regardless of their age, gender or frequency of hibiscus beverage consumption.
227 was simultaneously attracted to the opposite gender or race category response option corresponded to
228                                 There was no gender or racial difference.
229 ificant difference was observed according to gender or side (p > 0.05).
230 OR, 1.61 per decade), remoteness (OR, 2.02), gender (OR, 0.60 for men), and diabetes in combination w
231  retention, but not with years of education, gender, or APOE genotype; (ii) increased annualized chan
232 ts or flowers, problematic as toward race or gender, or even simply veridical, reflecting the status
233                                       Female gender (P < 0.05), vascular invasion (P < 0.001), tumour
234 iate analysis, higher age (p = 0.0018), male gender (p = 0.019), high risk cytogenetics (p = 0.002),
235 us (P = 0.015), T-size category (P = 0.022), gender (P = 0.040), and adjuvant sunitinib in patients a
236 74) patients were matched for age (P = 0.6), gender (P = 0.7), and distribution of PACS versus PAC or
237  positivity were associated with LOR (female gender: p < 0.001, OR:7.8 CI 95%: 2.5-24.3, ADA positivi
238  the trends and accompanying analyses of the gender parity of invited speakers may allow the ongoing
239         We propose five strategies to ensure gender parity within critical care medicine.
240 y friendly policies, by trying to narrow the gender pay gap and by promoting women's career progressi
241                                   Thus, same-gender peer mentoring for a short period during developm
242 56 cases) affected all age groups regardless gender predilection.
243 hat reflect differences in the age of onset, gender predominance and response to therapy.
244                                              Gender (premenopausal and postmenopausal females), age (
245 tion, some models considered factors such as gender, race, ethnicity, education, body mass index, chr
246                  Data obtained included age, gender, race, medical ICU admitting diagnosis, location
247 ups did not differ significantly in terms of gender, race, or age.
248 ected included patient age at primary SMILE, gender, race, preoperative and postoperative manifest re
249  some striking differences; for example, the gender ratio was reversed (ORadj = 0.6 (0.4-0.7) for fem
250                                 Adjusted for gender, recent infections, and a CRP genetic risk score,
251      Third, we show that taking into account gender-related differences is mandatory for the investig
252  a pessimistic attributional style, negative gender-related traits, and rumination.
253  psychological features with a more feminine gender role.
254 reness, develop critical thinking in sex and gender science, and identify strategic pathways to impro
255                                              Gender, seasons, and RF did not impact UMT performance.
256 scharged home after adjusting for age, race, gender, severity of illness, and chronic comorbidities.
257 enced by a variety of factors including age, gender, sex hormones and diabetes status.
258        Based on gender, both male and female gender showed significantly higher level of mean serum u
259                                              Gender specific differences between the Ppif-/- male and
260 rol in mice and underscore the potential for gender specific EPO action beyond erythropoiesis.
261 rray and RNA-seq data from tendon identified gender specific gene expression changes highlighting dis
262 s that some of these predictors appear to be gender specific or are dependent on a person's readiness
263 neonatal testosterone rise in the boys nor a gender-specific difference in testosterone levels, which
264 e subset of 18 women with FND to account for gender-specific effects.
265 iovascular health, and improve survival in a gender-specific manner.
266 and the acceleration of aging, possibly in a gender-specific manner.
267 Our findings implicate a protein factor as a gender-specific modifier of a mild mouse model of SMA.
268      This study extends previous findings of gender-specific neural responses in monosexual men, and
269 rt approach using longitudinal data in which gender-specific subject groups were followed from the be
270 d Genomes (KEGG) pathway analysis identified gender-specific target genes/signaling pathways.
271 thetical vignettes were perceived to violate gendered standards of behavior had a significant influen
272 depicted the wife as intentionally violating gendered standards of behavior were more likely to condo
273 epicting the wife as intentionally violating gendered standards of behavior, and 0.77 (1.19) among pa
274                  Empirical studies show that gender stereotypes affect the way people attend to, inte
275  judgment of individuals in situations where gender stereotypes are likely to play a role.
276  the cognitive and motivational functions of gender stereotypes helps us understand their impact on i
277 ccounting for applicant education, applicant gender, study method, occupational groups, and local lab
278 ions; associated with lower risk were female gender, thrombocytopenia, acute coronary syndrome, atria
279 modelled incidence according to age, region, gender, time period, and vaccine eligibility using multi
280  a control group that was matched in age and gender to each primary progressive aphasia subgroup (n =
281 tools to correlate behavioral, endocrine and gender traits with hypothalamic neuron identity.
282 uded 215 patients (108 women, 91 men, and 16 gender unspecified; median [range] age, 46.5 [10.0-79.0]
283 re, working across psychiatric diagnoses and genders, using larger cohorts than in previous studies.
284 imilar up to 1 year after ICU admission, and gender was not associated with 90-day mortality in multi
285                                Surprisingly, gender was the host determinant most associated with los
286             In addition, impingement between genders was also explored.
287         Change in plasma hemoglobin and male gender were found to be risk factors for acute kidney in
288                           ADA positivity and gender were predictors of LOR.
289 ting more thoughtful selection of murine age/gender when using this surgical technique for translatio
290 fferences were observed in life span between genders, where females survived longer than males.
291 e such trait is a plant's sex allocation (or gender), which influences its reproductive success direc
292 e recorded EEG from human participants (both genders) while they performed a modified Eriksen flanker
293 stigma, and violence, and the interaction of gender with condomless receptive anal sex, the odds of H
294 l, reflecting the status quo distribution of gender with respect to careers or first names.
295              To determine the association of gender with the presentation, outcome, and host response
296  was correlated, across human subjects (both genders), with the subject-specific impulse response fun
297  profiles characterized both populations and genders, with one distinction for the second profile whe
298 both age (p = 0.048, R(2) = 0.09) and female gender (women: 36.88 +/- 4.11 vs men: 21.22 +/- 3.65 nmo
299  rosters were cross-indexed by unique names, gender, year, and repeat invitations.
300 wer bulbar and gross motor subscores, female gender, younger age and shorter duration of disease pred

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