ライフサイエンスコーパス: male sex

1 scular magnetic resonance, 15.4 years; 66.8% male sex).

2 g risk factors, such as smoking, obesity and male sex.

3 arly-resolving AD, which was associated with male sex.

4 ther cellular features characteristic of the male sex.

5 to GA at delivery, SGA, multiple births, and male sex.

6 r selective laser trabeculoplasty (SLT), and male sex.

7 y PD, in contrast to DA use, depression, and male sex.

8 age at diagnosis of 59 years (SD=17) and 62% male sex.

9 0.46-0.88; p=0.0064), but were shorter with male sex (1.41, 1.1-1.81; p=0.0072) and decreased appeti

10 ), asthma comorbidity (1.38 [1.30-1.46]) and male sex (1.50 [1.41-1.59]) were positively associated w

11 adjusted odds ratio 1.84, 95% CI 1.53-2.21), male sex (1.63, 1.07-2.48), smoking status (former smoke

12 ds ratio 5.03 [95% CI 4.23-5.98]; p<0.0001), male sex (2.32 [1.91-2.81]; p<0.0001), and age (0.63 per

13 s (relative risk [95% confidence interval]), male sex (2.7 [2.0-2.6]), prehypertension (1.4 [1.0-1.9]

14 verall, MCRPEC infection was associated with male sex (209 [41%] vs 47 [63%], adjusted p=0.011), immu

15 ion, 9.42 (95% CI 0.92 to 95.89, P = .05) in male sex, 21 (95% CI 0.9 to 489.7, P = .05) when present

16 ian patient age (54 vs 61 years, P < .0001), male sex (35% vs 49%, P < .0001), location in fornix (2%

17 Seventy-five patients (male sex, 63) aged 5-63 years (median, 24 years) were en

18 asthma who consented, 286 (mean age, 7.7 yr; male sex, 65.8%) were mite sensitized, and 284 were rand

19 ence interval [CI], 1.04-1.15; P < .001) and male sex (95% CI, 0.13-0.87; P = .02) were associated wi

20 for this association included increased age, male sex, acute coronary syndrome, valvular disease, car

21 Male sex (adjusted hazard ratio [aHR]: 1.63; 95% confide

22 endent risk factors for spinal hematoma were male sex (adjusted hazard ratio [HR], 1.72; 95% CI, 1.15

23 tors for exacerbations included being of the male sex (adjusted incidence rate ratio 1.17, 95% CI 1.0

24 ive lip cancer incidence was associated with male sex (adjusted incidence rate ratio [aIRR] 2.01, 95%

25 ality was 14.6% (64/439) and associated with male sex (adjusted odds ratio, 2.60 [95% confidence inte

26 Among patients with asthma, male sex, African American race, and history of diabetes

27 On multivariate analysis, male sex, African-American race, and non-Hispanic white

28 io [OR], 1.06; 95% CI, 1.04-1.09; P < .001), male sex (age-adjusted OR, 1.39; 95% CI, 1.02-1.91; P =

29 lack of insurance coverage (all models) and male sex (age-stratified models) were also significantly

30 Bacteremia was associated with male sex, age >/=65 years, and specific serotypes.

31 Patients who met the eligibility criteria (male sex, age <6 years, severe hemophilia A, and no prev

32 Additional inclusion criteria were male sex, age 10 to 12 years or 23 to 40 years, and stim

33 In Raynaud phenomenon, male sex, age, and serum creatinine are related to morta

34 curve 0.68 [0.64-0.73]) included black race, male sex, age, and time since last seen normal, while th

35 was significantly negatively associated with male sex, age, black ethnicity, self-reported glaucoma,

36 Male sex; age older than 50 years; increased levels of a

37 s well as smoking, older age, higher BMI and male sex (all p < 0.05).

38 ith WML and infarction progression were age, male sex and a classical phenotype.

39 Male sex and age >50 years associated with the composite

40 Male sex and age were also associated with appropriate I

41 Together with male sex and age, LDL-C was independently associated wit

42 Male sex and an abnormal ECG are associated with a highe

43 e, heart failure, and extensive STEMI, while male sex and cardiovascular risk factors were associated

44 Male sex and higher interleukin-6 were significantly ass

45 Male sex and LVSD are independent predictors of outcomes

46 ring system consisted of clinical variables (male sex and previous percutaneous coronary intervention

47 We examined the association between male sex and severe Covid-19 infection and if an increas

48 ersely prognostic for OS (P = .036), whereas male sex and splenic involvement were adversely prognost

49 Male sex and the use of ex vivo lung perfusion were asso

50 Young age, male sex, and a higher level of education were predictor

51 Baseline characteristics, such as young age, male sex, and advanced disease, and serum markers of liv

52 plasia, colon segment resection, aneuploidy, male sex, and age was classified as weak.

53 ated with mean serum corpuscular hemoglobin, male sex, and age.

54 Older age, male sex, and being black or African American (compared

55 Advanced age, male sex, and cigarette smoking contribute to the develo

56 Conclusions and Relevance: Age at diagnosis, male sex, and DFSP tumor size appear to be important pro

57 Studies have established that advanced age, male sex, and European ancestry are prominent AF risk fa

58 sk of suicide is low, psychiatric disorders, male sex, and gastric bypass procedure seem to increase

59 Increased age, male sex, and HBV coinfection predicted significant fibr

60 Lower performance IQ, male sex, and higher intra-individual variability in thr

61 ation between increased CCT and younger age, male sex, and higher IOP but not glaucoma or CDR.

62 pike avidity were associated with older age, male sex, and hospitalization.

63 on of higher baseline MDS-UPDRS motor score, male sex, and increased age, as well as a novel Parkinso

64 associated with nonwhite race, younger age, male sex, and lack of access to health care.

65 Older age, male sex, and lower education, income, and cognitive res

66 portant in opioid use disorder, younger age, male sex, and lower educational attainment level and inc

67 Increased baseline weight, male sex, and non-white ethnicity are predictors of susc

68 sophageal adenocarcinoma, such as older age, male sex, and obesity, should undergo endoscopy.

69 In subgroup analysis, young age, male sex, and relatively healthy subjects with a higher

70 risk imparted by increased age, white race, male sex, and thoracic organ transplantation.

71 olangitis, longstanding colitis (>10 years), male sex, and younger age at diagnosis.

72 o, 5.4 [95% confidence interval, 1.4-21.1]); male sex; and venous thromboemboli.

73 vs. <50 years: aOR 2.16, 95% CI 1.97-2.37), male sex (aOR 1.45, 95% CI 1.34-1.57), regional SARS-CoV

74 rval {CI}, 1.3-3.5]), female sex (reference, male sex; aOR, 1.8 [95% CI, 1.1-2.8]), and having HLA cl

75 ; 95% confidence interval [CI], 1.1-1.5) and male sex (aPR, 1.3; 95% CI, 1.1-1.5) were associated wit

76 ity acquisition, prosthetic heart valve, and male sex are associated with increased risk of IE.

77 On the other hand, hsTnT and male sex are independent risk factors for established cl

78 Older age, male sex, ART before admission, poor nutritional status,

79 Older age, male sex, ART before admission, poor nutritional status,

80 I in males; however, as clinically observed, male sex associated with more severe UTI once these trad

81 Among 4,586 participants assigned male sex at birth, 937 (20%) identified as transgender o

82 women participants (aged >18 years, assigned male sex at birth, and identifying as a gender different

83 sk factors with DD varied considerably, with male sex being associated positively with DD for one def

84 ncluded in the score: age 55 years or older, male sex, being ART experienced, having severe anaemia (

85 .0123 per decade; SRC = -0.2733; P < .0001), male sex (beta = -0.0067; SRC = -0.0716; P = .0060), and

86 Male sex (beta coefficient=0.44; 95% confidence interval

87 , age (beta=0.2 mL/m(2) per year, P<0.0001), male sex (beta=-4.2 mL/m(2), P<0.0001), obesity (beta=1.

88 Male sex (beta=1.676; P=0.009), diabetes mellitus (beta=

89 rs as the principal mechanism underlying the male sex bias in ASD.

90 f ventricular arrhythmia was associated with male sex, bileaflet prolapse, marked leaflet redundancy,

91 Male sex, Black race, and elevated blood alcohol content

92 ent of AKI was significantly associated with male sex, Black race, and older age (>50 years).

93 Although male sex, Black race, and older age associated with deve

94 t, nongastric band surgery, age >/=60 years, male sex, BMI >/=50 kg/m, postoperative hospital stay >/

95 ntilation, and death; associations with age, male sex, body mass index, and diabetes mellitus were al

96 s and ESCs was independently associated with male sex, central line-associated bloodstream infections

97 o later in the lifetime of patients with CF; male sex, CFTR F508del homozygosity, and history of meco

98 Risk factors for CFLD and severe CFLD were male sex, CFTR F508del homozygosity, and history of meco

99 gher among participants with age >=75 years, male sex, CHADS(2) score >2, or NT-proBNP (N-terminal pr

100 e, which drives the development of secondary male sex characteristics at the expense of suppressing i

101 R, 1.2; 95% CI, 0.2-8.4, P = 0.8) as well as male sex, chronic kidney disease and older than 60 years

102 Age, male sex, contact with macaques, forest use, and raised

103 es to reduce vector populations by female-to-male sex conversion, or to aid in a sterile insect techn

104 patients (7.2%) and was associated with age, male sex, coronary artery disease, and vasopressor use.

105 gh elastic net regularization suggested that male sex, current smoking, statin use, elevated creatini

106 s for progressive SSc-ILD include older age, male sex, degree of lung involvement on baseline high-re

107 cific risk factors (age <18 or >/= 60 years, male sex, depleting antibody, HLA mismatch >/= 4) for BK

108 rphogenesis (Chinmo) acts with the canonical male sex determinant DoublesexM (Dsx(M)) to maintain the

109 a-carboxyglutamate protein, key mediators of male sex determination and osteogenesis, respectively.

110 ects of reproduction and development such as male sex determination in branchiopod crustaceans.

111 sults indicate that miR-1-3p is required for male sex determination in early embryogenesis in B. dors

112 demonstrate that Dmrt1 is a candidate master male sex-determining gene in this TSD species, consisten

113 We find that the male sex-determining region of Ginkgo contains more than

114 Male sex, diabetes mellitus, and baseline eGFR >=90 ml/m

115 A total of 6 variables (male sex, diabetes, estimated glomerular filtration rate

116 endently associated with worse survival were male sex, donor and recipient age, cholangiocarcinoma (C

117 This male sex drive rhythm (MSDR) is mediated by the M cells

118 FRU network to mediate sleep suppression by male sex drive.

119 high-intensity statin prescriptions included male sex, filling beta-blocker and antiplatelet agent pr

120 D, including older age, higher prevalence of male sex, foveal detachment, grade C proliferative vitre

121 Risk factors for AF include age, male sex, genetic predisposition, hypertension, diabetes

122 Male sex has been associated with severe Coronavirus dis

123 Being of the male sex has been identified as a risk factor for multip

124 general intelligence, musical training, and male sex having the biggest impacts.

125 Male sex (hazard ratio [HR] 2.54, P = 0.02), diabetes (H

126 dependent predictors of HCM development were male sex (hazard ratio [HR]: 2.91; 95% CI: 1.82 to 4.65)

127 .15; 95% CI, 1.14-1.16) per 5-year increase, male sex (hazard ratio, 1.17; 95% CI, 1.13-1.21) and smo

128 Male sex (hazard ratio, 1.89 [95% CI, 1.04-3.44]; P=0.04

129 lism (hazard ratio: 1.04, 95% CI=1.02-1.07), male sex (hazard ratio: 1.74, 95% CI=1.03-2.93), and hig

130 In ISCHEMIA, older age, male sex, high-intensity statin use, lower baseline LDL-

131 Male sex, higher body mass index, concomitant sleep apne

132 d with prescription of aspirin only, whereas male sex, higher body mass index, prior stroke/transient

133 oth significantly associated with older age, male sex, higher systolic blood pressure (SBP), faster h

134 Among patients undergoing TAVR, younger age, male sex, history of diabetes mellitus, and moderate to

135 r severe coronavirus disease 2019, including male sex, history of hypertension, low peripheral blood,

136 Age, male sex, history of previous ASCVD, high blood pressure

137 s (sex work, injecting drug use, and male-to-male sex), HIV and ART status within married or cohabiti

138 younger than 18 years or 60 years or older, male sex, HLA mismatch or 4 greater, acute rejection, an

139 iological and disease processes sensitive to male sex hormone actions, thereby not only affecting the

140 Testosterone is the main male sex hormone and is essential for the maintenance of

141 at ILC2 development is greatly influenced by male sex hormones.

142 Those associated with sICH were male sex (HR 2.68, 95% CI 1.06 to 6.83), history of hype

143 dence interval [CI] = 1.11-1.29, P < 0.001), male sex (HR = 1.44, 95% CI = 1.12-1.84, P = 0.005), and

144 tumor obstruction (HR, 1.28; P = .0233), and male sex (HR, 1.24; P = .0151).

145 decade (hazard ratio [HR], 1.52; P < 0.001), male sex (HR, 1.28; P < 0.001), white race (compared wit

146 t skin cancer (HR, 4.69; 95% CI, 3.26-6.73), male sex (HR, 1.56; 95% CI, 1.34-1.81), white race (HR,

147 io (HR), 1.05; 95% CI, 1.04-1.07; P<0.0001), male sex (HR, 1.57; 95% CI, 1.20-2.04; P=0.001), diabete

148 zard ratio [HR], 1.017; P=0.0007), recipient male sex (HR, 1.701; P=0.0002), recipient extracorporeal

149 nterval [95% CI], 2.25 to 3.89; P<0.001) and male sex (HR, 1.88; 95% CI, 1.50 to 2.35; P<0.001) was a

150 io [HR], 1.08; 95% CI, 1.06-1.10; P < .001), male sex (HR, 1.97; 95% CI, 1.09-3.55; P = .03), and tum

151 tic heart valve (HR, 6.2; 95% CI, 3.8-10.1), male sex (HR, 2.0; 95% CI, 1.1-3.8), and community acqui

152 ere associated with increased risk of death: male sex (HR: 1.805; P < 0.001), BMI of 60 or greater (H

153 cular tachycardia (HR: 2.19; p = 0.023), and male sex (HR: 2.49; p = 0.012).

154 The aCSHRs were between 1.62-2.20 for male sex, immunosuppression, diabetes, malignancy, lung

155 der, including family history of alcoholism, male sex, impulsivity, and low level of response to alco

156 atures included stage III disease in 64% and male sex in 20%.

157 It is associated with age, male sex, increased BMI, dyslipidemia, and postoperative

158 COVID-19 death was associated with male sex, increasing age, diabetes, hypertension and chr

159 Male sex, increasing age, surgery during current hospita

160 the cause of DA cell loss in PD is unknown, male sex is a strong risk factor.

161 Male sex, large tumor size, high Hounsfield density, and

162 was more strongly associated with HFpEF, and male sex, left ventricular hypertrophy, bundle branch bl

163 as associated with nonwhite race, older age, male sex, less than high school education, lack of priva

164 Vespid venom allergy and male sex likewise augment the risk of severe or even fat

165 actors urban living, number of siblings, and male sex lost their importance.

166 In regression models, male sex, low birth weight, and maternal smoking were in

167 irus infection and RVGE were associated with male sex, lower birth weight, lower maternal education,

168 cluded family history of premature CAD, age, male sex, lower glomerular filtration rate, diabetes mel

169 -determining locus (M-locus) establishes the male sex (M/m) in the yellow fever mosquito, Aedes aegyp

170 In multivariable models, younger age, male sex, Malay and Indian ethnicities, presenting dista

171 These results suggest that male sex may be a risk factor for harm by CRT in patient

172 l risk factors for OUD included younger age, male sex, Medicaid insurance, Medicare insurance, higher

173 Male sex (men vs women, 37.7 mm(3); 95% confidence inter

174 Male sex, migraine headache, and prior sinus surgery wer

175 Male sex, multiple organ failure, increasing percentage

176 Male sex negatively moderated the effect of autism PGS o

177 In multivariable analysis, age >=5 years, male sex, non-US/Canadian birth, smear-positive index pa

178 Older age, male sex, nonwhite race, and lower socioeconomic status

179 istics associated with disagreement included male sex, northern rural residence, early BMD test year,

180 ified several confounding factors, including male sex, NSAID coadministration, advanced age, and prio

181 nt risk factors of anastomotic failure were: male sex, obesity, smoking, diabetes mellitus, tumors >2

182 .6, 95 confidence interval [CI] 2.8-7.6) and male sex (odds ratio 1.9, 95 CI 1.4-2.7) were identified

183 ariate logistic regression demonstrated that male sex (odds ratio = 1.18; 95% CI, 1.01-1.36), Charlso

184 Male sex (odds ratio [OR], 1.12 [95% CI, 1.05-1.20]), sm

185 The model for low BMD included male sex (odds ratio [OR], 3.07), height (OR, 0.95), wei

186 riable regression analysis demonstrated that male sex (odds ratio [OR]: 2.3, 95% confidence interval

187 % confidence interval, 1.02-1.06; P=0.0001), male sex (odds ratio, 1.96; 95% confidence interval, 1.1

188 Independent predictors of PTx included male sex [odds ratio (OR) 1.7, 95% confidence interval (

189 associated with a reduced chance of success: male sex [odds ratio (OR) = 0.27; 95% confidence interva

190 Male sex, older age, and hospitalization for COVID-19 we

191 Male sex, older age, and obesity were associated with hi

192 In univariate Cox regression analyses, male sex, older age, and recipients of simultaneous panc

193 following cardiopulmonary resuscitation were male sex, older age, receipt of care in a nonmedical cen

194 fidence interval [CI] 1.06-1.07; p < 0.001), male sex (OR 1.75; 95% CI 1.55-1.98; p < 0.001), being b

195 nly hsTnT (OR 30.69, 95% CI 2.70-348.42) and male sex (OR 8.17, 95% CI 1.16-57.75) were independently

196 R] = 1.59 per 10 years; 95% CI = 1.19-2.13), male sex (OR = 2.51; 95% CI = 1.23-5.12), nonwhite ethni

197 Male sex (OR, 0.76; 95% CI, 0.69-0.83) and anxiety (OR,

198 2; 95% confidence interval [CI], 2.42-4.03), male sex (OR, 1.22; 95% CI, 1.12-1.34), and level of edu

199 ied older age (OR, 1.69 [95% CI 1.66-1.92]), male sex (OR, 1.57 [95% CI 1.30-1.90]), higher BMI (OR,

200 e vs less than 2 (OR, 1.5; 95% CI, 1.0-2.3), male sex (OR, 1.6; 95% CI, 1.1-2.3), and work-related re

201 tio [OR], 1.01; 95% CI, 1.00-1.02; P = .01), male sex (OR, 1.95; 95% CI, 1.57-2.42; P < .001), and bl

202 3; 95% confidence interval [CI], 1.30-1.79), male sex (OR, 2.48; 95% CI, 1.20-5.13), and normal hemat

203 io [OR], 4.0; 95% CI, 2.7 to 5.9; P < .001), male sex (OR, 2.8; 95% CI, 1.9 to 4.0; P < .001), and de

204 ne (OR, 6.6; 95% CI, 3.9 to 11.0; P < .001), male sex (OR, 2.9; 95% CI, 1.7 to 4.8; P < .001), endors

205 The model for very low BMD included male sex (OR, 3.28), height (OR, 0.95), weight (OR, 0.97

206 Male sex (OR, 6.8; 95%CI, 1.6-39.8; p = 1.6 * 10(-2)) an

207 .35; CI: 1.91-2.89) compared with age 70-79, male sex (OR: 1.29; CI: 1.24-1.34), races black (OR: 1.3

208 , urban living, OR 1.9 (95% CI 1.2-2.9), and male sex, OR 1.3 (95% CI 1.0-1.7), and negatively associ

209 Male sex, overweight, and hyperglycemia at admission wer

210 0001), geographical origin ( P < .0001), and male sex ( P = .0016).

211 e or Latino ethnicity (P < 0.0001 for both), male sex (P < 0.0001), lower income (P < 0.0001 for all

212 redictors of 3-year all-cause mortality were male sex (p < 0.001), low body mass index, (p < 0.001),

213 nt predictor of IPF diagnosis (P < .001) and male sex (P = .003).

214 ting the likelihood of reporting showed that male sex (P = .009), low-risk patient (P < .0001), self

215 rs for an incomplete treatment response were male sex (P = .01) and inflammation extending to extraoc

216 d with ln(Feno) levels (P = .03), as well as male sex (P = .025), wheezing causing shortness of breat

217 Male sex (p = 0.01), nonmissense mutations (p = 0.03), a

218 ain predictors for the primary endpoint were male sex (p = 0.022), NYHA functional class III or IV (p

219 were identified: donor age (P<0.001), donor male sex (P<0.001), donor tobacco consumption (P=0.001),

220 ted by higher baseline weight (p=0.0015) and male sex (p=0.0082).

221 Male sex (P=0.048), elevated C-reactive protein (P=0.013

222 = 0.027, odds ratio (OR) 1.02 (1.00-1.04)], male sex [P = 0.015, OR 1.77 (1.10-2.81)], BMI at diagno

223 cted pancreatic MCNs for which risks include male sex, pancreatic head and neck location, larger MCN,

224 Male sex, pancreatic insufficiency, meconium ileus, hist

225 re HIV-positive and 49% had an uncircumcised male sex partner.

226 and a HR adjusted for site, age, having >=2 male sex partners in the past 3 months, use of hormonal

227 8-5.69 times) that for women who reported no male sex partners in the past 6 months.

228 Lifetime number of male sex partners was also positively associated but onl

229 ntibiotic use, and no male patients reported male sex partners.

230 We tested the hypothesis that the male sex pheromone in the noctuid moth Heliothis viresce

231 treated females were less responsive to the male sex pheromone or unable to use it as a cue at all.

232 As in other species [1], male sex pheromones modulate several behaviors and physi

233 was associated with older age at diagnosis, male sex, poor initial levodopa treatment response, and

234 regression analyses laparoscopic surgery and male sex predicted an event-free recovery.

235 The interaction of NAFLD and male sex predicted MACE (hazard ratio, 1.45; 95% confide

236 factors associated with disengagement (age, male sex, pregnancy at ART start [HR 1.58, 95% CI 1.47-1

237 ed clinical predictors, only 4 (younger age, male sex, premature ventricular complex count, and numbe

238 Male sex, presentation as PE (particularly if concomitan

239 Male sex, previous healthcare visits for self-harm or me

240 additional risk factor (older than 65 years, male sex, previous venous thromboembolism, cancer, autoi

241 Male sex, primary diagnosis of stroke, and higher Acute

242 Our findings suggest that male sex, psychiatric disorder history, and sleep diffic

243 Male sex (rate ratio [RR] for male vs female patients 1.

244 The high female-to-male sex ratio of multiple sclerosis (MS) prevalence has

245 Female-to-male sex ratio was 1.6:1.

246 nalysis showed advanced donor age, recipient male sex, recipient creatinine, recipient history of pri

247 Among the risk factors for mortality were male sex Relative Risk (RR) 2.88 (p = 0.03), hypoglycemi

248 ctors associated with adenoma detection were male sex (relative risk 1.69, 95% CI 1.46-1.95; p<0.0001

249 to testicular differentiation and female-to-male sex reversal in a manner that does not requireSry o

250 Female to male sex reversal was achieved in an emerging agricultur

251 ypically leads to masculinization (female-to-male sex reversal), resulting in neomales.

252 ertoli cell differentiation during female-to-male sex reversal.

253 heart disease (RR, 1.11; 95% CI, 1.10-1.11), male sex (RR, 1.10; 95% CI, 1.09-1.10), black race (RR,

254 Male sex, rural location, lower household wealth, and no

255 ow development scores and stunting, poverty, male sex, rural residence, and lack of cognitive stimula

256 ss index, pancreatic texture, duct size, and male sex, showed good discrimination (AUC 0.75, 95 CI 0.

257 % confidence interval [CI]: 0.944 to 0.994), male sex (SHR: 1.989; 95% CI: 1.403 to 2.818), lack of p

258 -2.47; p = 0.03) Meta-regression showed that male sex, smoking, advanced age, and comorbidities contr

259 ssion in Barrett's Esophagus score) based on male sex, smoking, length of BE, and baseline low-grade

260 Male sex, smoking, length of BE, and baseline-confirmed

261 was significantly associated with older age, male sex, somatic mutations that impair the DNA damage r

262 was propensity-score weighted, 53.9% were of male sex, the mean age was 15.1 (SD 1.7) years, 69.9% ha

263 tent of structural disease; cardiac syncope; male sex; the presence of multiple mutations or a mutati

264 udy of veterans, we found increasing age and male sex to be significantly associated with increased r

265 35-2.09) and lower among people with male-to-male sex transmission risk (0.36, 0.29-0.44) and country

266 .09-3.27) and lower in partners with male-to-male sex transmission risk (0.37, 0.26-0.51) and country

267 In mutually adjusted models, male sex, underweight, obesity, education, poor self-rat

268 nts considered "too well" were advanced age, male sex, university hospital admission, comorbidity, an

269 Among the entire cohort, Hispanic ethnicity, male sex, VAT, and HOMA-IR were independently associated

270 es involving 438 patients (381 female and 56 male [sex was not specified in 1 patient]; mean age at t

271 Through subset analysis, male sex was associated with a higher ocular surface sco

272 Male sex was associated with adverse 30-day-mortality bu

273 Male sex was associated with increased risk of cognitive

274 ion of nTreg at birth, larger birth size and male sex was each associated with higher nTreg in infanc

275 In multivariable analysis, male sex was independently associated with 30% higher mo

276 core 2 (aOR 1.15 95%CI 1.04-1.27; p = 0.007) male sex was independently associated with higher odds f

277 By multivariable analysis, male sex was independently associated with lower prevale

278 Male sex was more common in the COVID-19 group (P=0.05).

279 Furthermore, among offspring donors, male sex was strongly associated with inferior outcomes.

280 Gestational age and male sex were also independently but more weakly associa

281 In adjusted analyses, increasing age and male sex were significantly associated with increased ri

282 Childhood impairment of lung function and male sex were the most significant predictors of abnorma

283 ially antenatal maternal smoking, atopy, and male sex, were associated with increased rates for all p

284 complications of GERD include advanced age, male sex, white race, abdominal obesity, and tobacco use

285 age was 84.0 +/- 8.7 years old and 60% were male sex with mean transaortic pressure gradient of 50.1

286 th all periodontitis case definitions and of male sex with severe periodontitis and EWP-specific defi

287 osure prophylaxis (PrEP) use among cisgender male sex workers (MSWs), a high-risk subset of cisgender

288 Nairobi should focus on condom promotion for male sex workers and MSM in particular, followed by impr

289 If PrEP for male sex workers cost as much as US$500, average annual

290 PrEP for male sex workers could enter an optimal portfolio at sim

291 d to be less than $3.27 million for PrEP for male sex workers to be excluded from an optimal portfoli

292 all but with a large sub-epidemic in MSM and male sex workers, an optimal prevention portfolio for Na

293 pecific key populations (female sex workers, male sex workers, and men who have sex with men [MSM]) a

294 Although data from two countries include male sex workers, the numbers are so small that the find

295 hy and greater number of injections, whereas male sex, worse vision, lesser change in central macular

296 TD GDS-15 score (HR = 1.12, p < 0.001), and male sex (year 3: HR = 2.10, p = 0.009; year 4: HR = 3.0

297 Male sex, young age at onset, small bowel disease, more

298 We have previously identified male sex, younger age, and the presence of spinal cord l

299 th higher intelligence, East Asian ancestry, male sex, younger age, formal music training-especially

300 awareness and treatment were associated with male sex, younger age, lower income, and an absence of p