ライフサイエンスコーパス: spouse

1 5, 95% confidence interval -0.32 to 0.02 for spouses).

2 ginal study population (and these children's spouses).

3 alth event occurring in a previously healthy spouse.

4 se, depending how angry they were with their spouse.

5 duration of noise participants set for their spouse.

6 ents compared with those without an affected spouse.

7 d satisfaction in being able to care for the spouse.

8 rried and living with a healthy, nondemented spouse.

9 frequently or even only sporadically in the spouse.

10 aken from male patients in the presence of a spouse.

11 ve experienced the death of a child and of a spouse.

12 s, 70% were women, and 61% were caring for a spouse.

13 iotics was also observed among the patients' spouses.

14 iety in long-term cancer survivors and their spouses.

15 not only include patients, but also consider spouses.

16 nificantly between cancer patients and their spouses.

17 public databases (1961-2009) in siblings and spouses.

18 data exist on treatment and control between spouses.

19 or sex differences in HRQOL for patients and spouses.

20 onal, and sexual violence inflicted by their spouses.

21 out the disease course for both patients and spouses.

22 omen discussed activity and interaction with spouses.

23 n HRQOL differs by sex for patients or their spouses.

24 ant sex differences in HRQOL for patients or spouses.

25 hing between normal and clinically depressed spouses.

26 rst-degree relatives, and in their unrelated spouses.

27 , most notably within households and between spouses.

28 k were seen in comparisons with siblings and spouses.

29 No such deficits were observed in noncarrier spouses.

30 oncordance of physical activity change among spouses.

31 5% confidence interval (CI): 0.52, 0.55; SMR(spouses) = 0.52, 95% CI: 0.50, 0.55).

32 en assessed anxiety; of the comparisons with spouses, 12 assessed depression and five assessed anxiet

33 sk Group" (e.g., young woman or HIV-infected spouse); (2) a "Model-based" risk score constructed with

34 A significant proportion of patients and spouses (26%-42%) showed clinically relevant scores of a

35 ere making decisions for their parent (47%), spouse (28%), sibling (13%), child (3%), or other relati

36 Partners were parents, 57 (22%), spouses 55 (21%), siblings 50 (19%), friends 41 (16%), a

37 The majority of surrogates were either the spouse (58%) or parent (22%) of the patient.

38 60-2.75; P<0.001) increased in the surviving spouse after patient death.

39 treatment were moderately associated between spouses after controlling for shared environment.

40 ree relative: aIRR, 1.28; 95% CI, 1.08-1.52; spouse: aIRR, 1.34; 95% CI, 1.08-1.66) were more likely

41 That the AUD status of the spouse alters this association highlights the importance

42 atients who survived severe sepsis and their spouses an average of 55 months after ICU discharge.

43 association between the hospitalization of a spouse and a partner's risk of death among elderly peopl

44 y significant associations between loss of a spouse and our outcome variables, except that widowed wo

45 At an interpersonal level, disclosure to a spouse and spousal involvement in treatment were associa

46 th age-matched peers who had also lost their spouse and who had lower polygenic scores.

47 standardized questionnaires completed by 206 spouses and 206 wives recently diagnosed with nonmetasta

48 of medicinal plants is mainly shared between spouses and biological and affinal kin; and (4) knowledg

49 sociated vasculitis (AAV) patients and their spouses and compared patients and spouses with norms for

50 Spouses and female caregivers experience greater caregiv

51 and anxiety in cancer patients compared with spouses and healthy controls.

52 failure has a profound impact on recipients, spouses and other close family members and appears to re

53 examine the experiences of adults and of the spouses and partners of those affected.

54 in humans focused on trait similarity among spouses and relatives via phenotypic correlations.

55 The deployment of spouses and the length of deployment were associated wit

56 term survivors of cancer compared with their spouses and with healthy controls.

57 ross three phases), role effects (patients v spouses), and phase-by-role interactions (differences wi

58 72 Thai families, consisting of a farmer, a spouse, and a child, participated in this study.

59 n multiple losses, loss of child, sibling or spouse, and loss due to unnatural cause were analyzed se

60 rld Trade Center site, event-related loss of spouse, and low social support.

61 weight gain in his or her friends, siblings, spouse, and neighbors.

62 onducted prospective cohort, co-relative, co-spouse, and within-person analyses of registration for d

63 ning index persons, their parents, siblings, spouses, and children, comprising 314,819 individuals.

64 he original Framingham Heart Study and their spouses, and validated these findings in plasma samples

65 Spouses are the main carers for PEG patients at home, an

66 get hypertension education and prevention to spouses as a pair rather than as 2 separate patients.

67 atoid arthritis in Agricultural Health Study spouses: associations with pesticides and other farm exp

68 We found no correlation between spouses' automatic and conscious attitudes, which sugges

69 Further, spouses' automatic attitudes, not their conscious ones,

70 If one spouse became obese, the likelihood that the other spous

71 Nonobese participants whose spouses became obese were more likely to become obese th

72 Having a spouse become obese nearly doubles one's risk of becomin

73 Spouses bereaved by a partner's suicide had higher risks

74 Compared with spouses bereaved by other manners of death, those bereav

75 hen compared with the general population and spouses bereaved by other manners.

76 ight a need for more support directed toward spouses bereaved by suicide.

77 95% confidence interval -0.88 to -0.54) and spouses' (beta = -0.62, 95% confidence interval -0.79 to

78 d to Harare in the last month, without their spouse, but this risk was not transferred to the partner

79 e dating has affected how people meet future spouses, but little is known about the prevalence or out

80 The illness of a spouse can affect the health of a caregiving partner.

81 Black or African-American spouse caregivers also improved significantly more (P =

82 his association highlights the importance of spouse characteristics for the behavioral health consequ

83 l data in the Offspring or the New Offspring Spouse cohorts.

84 essive symptoms following the death of their spouse compared with age-matched peers who had also lost

85 a problem in long-term cancer survivors and spouses compared with healthy controls.

86 Ninety-seven patients with AAV and their spouses completed a mailed questionnaire that included d

87 ors, as well as chronic pain in a partner or spouse, contribute substantially to the risk of chronic

88 GBA noncarrier non-PD spouse control participants were recruited at the Center

89 d risk of cognitive impairment compared with spouse controls (121 of 232 for probands vs 45 of 103 fo

90 es were comparable across family members and spouse controls, whereas sons and daughters of probands

91 probands had significantly lower rates than spouse controls.

92 213 for sons and daughters vs 28 of 216 for spouse controls; odds ratio = 0.4; 95% CI, 0.2-0.9).

93 ls (121 of 232 for probands vs 45 of 103 for spouse controls; odds ratio = 0.7; 95% CI, 0.4-1.4), whe

94 328 for nieces and nephews vs 28 of 216 for spouse controls; odds ratio = 0.8; 95% CI, 0.4-1.4).

95 ortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural tr

96 and with DA, the relative risk for DA in the spouse declined from more than 25.0 within 1 year of pro

97 Smoking cessation by a spouse decreased a person's chances of smoking by 67% (9

98 bility (h(2)), estimated by 2beta(OP)/(1 + r(spouse)), decreased 0.0047 +/- 0.0007 (P = 2.9 x 10(-14)

99 ns into a voodoo doll that represented their spouse, depending how angry they were with their spouse.

100 two purposes: to test a predictive model of spouses' depressed mood and to evaluate the model's accu

101 Spouses' depressed mood was measured by the Center for E

102 Compared with participants whose spouses did not have diabetes, participants whose spouse

103 atively impacts HRQOL for patients; whereas, spouses do not appear to be as negatively impacted.

104 ld risks were seen among women living with a spouse/domestic partner who smoked for > or =10 years or

105 nephropathy who underwent a live unrelated (spouse) donor ABO blood group incompatible transplant us

106 Pregnancy-induced incompatibility with spouse donors was limiting given that spouses were among

107 able on the quality of life of men and their spouses during the phases of illness.

108 The sample consisted of 263 patient/spouse dyads.

109 e current study include the possibility that spouse effects may be due to assortative mating and the

110 ve cohort of pesticide applicators and their spouses enrolled from 1993-1997 in Iowa and North Caroli

111 the etiology of thyroid disease among female spouses enrolled in the Agricultural Health Study.

112 e Original Cohort, along with 1,576 of their spouses, enrolled in the Offspring Cohort.

113 l recognition algorithm), we show that while spouses' faces tend to be similar at the beginning of ma

114 birth year and sex of the child, age of the spouse, family history of psychiatric disorders, highest

115 These include physicians, spouses, family, friends, and different media.

116 When patients with HF are married, the spouse frequently assumes the caregiving role.

117 s surveyed migrant factory workers and their spouses from 4 cities in India together with their rural

118 Factory workers and their spouses from four cities in north, central, and south of

119 However, no study has examined why some spouses get depressed whereas others do not, particularl

120 s association was slightly stronger when the spouse had no lifetime alcohol use disorder, while marri

121 ted quality of life, and greater exhaustion; spouses had an impaired mental health-related quality of

122 etes (95% CI: 1.04, 1.29), while women whose spouses had college degrees were at 1.14 times the risk

123 es did not have diabetes, participants whose spouses had diabetes had higher odds of having diabetes

124 Compared with women whose spouses had graduate degrees, women whose spouses were h

125 e lowest physical quality of life, and their spouses had the lowest emotional quality of life of all

126 r one spouse is registered for DA, the other spouse has a large short-lived increase in DA risk.

127 ation, for which phenotypic similarity among spouses has increased in recent years.

128 sibling pairs (N = 83) further revealed that spouses have more similar microbiota and more bacterial

129 of the childless population or those without spouses, here we consider the kinless population of olde

130 are able to confidently predict a subset of spouses, highlighting the role of shared susceptibilitie

131 We found no evidence that the health of a spouse impacts patient outcomes after HF diagnosis.

132 with HF, and examine whether the health of a spouse impacts patient outcomes.

133 mplications for the role of the co-parenting spouse in influencing social and parental brain mechanis

134 th past and present relationships with their spouse in negative terms.

135 ndirectly, primarily through transfer to the spouse in the first instance, but also through contamina

136 , which sampled middle-aged adults and their spouses in 1986-1989, with 3 follow-up visits 3 years ap

137 (SHS; ie, exposure to smoking of friends and spouses in the household) reduces the likelihood of smok

138 Spouses, in contrast to patients, had less confidence in

139 examined how the presence of a co-parenting spouse influences brain-to-brain synchrony when attendin

140 s ratio of quitting smoking given that one's spouse is a former smoker or a current smoker compared t

141 Among elderly people hospitalization of a spouse is associated with an increased risk of death, an

142 y be at greater risk for depression if their spouse is hospitalized for severe sepsis.

143 After one spouse is registered for DA, the other spouse has a larg

144 Hypertension status among spouses is known to be concordant, but previous studies

145 t of deployment on mental health in military spouses is largely unstudied.

146 ship in >=1 known "risk group" (eg, having a spouse living with HIV), a "model-based" risk score cons

147 arginally increased odds of hypertension for spouses married to someone with hypertension (odds ratio

148 We analyzed data from 1746 farmers and 1555 spouses (mean age, 63) from a case-control study nested

149 itive spouse than in those with HIV-negative spouse (men: OR, 25.1; women: OR, 34.0).

150 g physical activity recommendations if their spouse met recommendations at both visits or just follow

151 s indicate that the physical presence of the spouse might establish synchrony in attentional regulati

152 The model correctly classified 89.2% of spouses' mood (chi(2) = 79.1; P < .001).

153 h uRPL could identify the body-odor of their spouse, most control women could not.

154 The 23 participants included the spouse (n = 7), child/stepchild (7), sibling (5), parent

155 Analysis of spouse (N = 94) and sibling pairs (N = 83) further revea

156 othyroidism and hyperthyroidism among female spouses (n = 16,529) in Iowa and North Carolina enrolled

157 Family members (n = 147) were most commonly spouses (n = 71, 48.3%) of patients.

158 rt of 89,656 pesticide applicators and their spouses (N = 89, 656) in North Carolina and Iowa, the au

159 Those who survived the death of their spouses (N=1,647) experienced a sharp increase in depres

160 s on their own unmet needs rather than their spouses' needs.

161 Spouses of case patients were more often infected (8 of

162 ed 16-64 years who were Botswana citizens or spouses of citizens responded to a questionnaire and had

163 In conclusion, spouses of current smokers are less likely to quit, wher

164 -sectional analysis, we investigated whether spouses of diabetic individuals had a higher prevalence

165 However, spouses of EoE probands were observed to be at increased

166 or other agricultural exposures among female spouses of licensed pesticide applicators in the Agricul

167 ur objectives were to describe the health of spouses of married patients with HF, and examine whether

168 spouses, yet the effect of vasculitis on the spouses of patients has not been systematically examined

169 nrelated healthy controls in Dallas, TX, and spouses of patients were also enrolled as an independent

170 Spouses of patients with AS only had a modest risk incre

171 Spouses of patients with HF were elderly (mean age, 71 y

172 Spouses of patients with severe sepsis may benefit from

173 In contrast, spouses of subjects with AS were only slightly more like

174 ts of veterinarians, veterinary technicians, spouses of veterinary professionals, and others with ext

175 Depressed mood in spouses of women with breast cancer deleteriously affect

176 Spouses of women with local or regional breast cancer ne

177 ression, participants competed against their spouse on a 25-trial task in which the winner blasted th

178 uicide is stressful and affects the bereaved spouse on a broad range of outcomes.

179 e of the physical presence of a co-parenting spouse on parental brain responses remains largely unkno

180 ds (10.73%; P = 0.005) but not living with a spouse or contact with children or other family.

181 Event-related loss of spouse or job was associated with PTS symptoms at W2.

182 The presence of a spouse or partner was protective for men.

183 e outside of their health system (62% with a spouse or partner, 23% with a child, 15% with another fa

184 se who selected a family member other than a spouse or partner, 47% lived apart from the specified pe

185 Most men's spouses or domestic partners were not employed full-time

186 Women were more likely than men to have spouses or domestic partners who were employed full-time

187 In the subgroup with spouses or domestic partners who were employed full-time

188 hile those who arrive late are surrounded by spouses or family members.

189 Bereaved spouses or partners are thought to be at increased risk

190 d outcomes reported by 1201 patients and 625 spouses or partners at multiple centers before and after

191 Nonbiological relatives (spouses or partners who have at least 1 child together)

192 utcome satisfaction among patients and their spouses or partners.

193 treatment outcomes among patients and their spouses or partners.

194 e outcome of treatment in patients and their spouses or partners.

195 topoietic stem-cell transplantation (HCT) on spouses or partners.

196 ildren (OR 0.677, P = 0.0001), (2) physician spouse (OR 0.753, P = 0.0093), and (3) older age (OR 0.9

197 ), and have a family decisionmaker who was a spouse (OR 5.1; p = .002).

198 o be colonized if they were the index case's spouse (OR 6.17, 95% CI 1.05-36.35), if their index case

199 .005), have a family decisionmaker who is a spouse (OR 9.4; p = .0001), were older (OR 1.04; p = 01)

200 Treatment was positively associated between spouses (OR = 1.35, 95% CI: 1.10, 1.67).

201 (defined as a grandparent, parent, sibling, spouse, or child) for each COVID-19 death.

202 ns will lose a grandparent, parent, sibling, spouse, or child.

203 view Boards accept only an authorized proxy, spouse, or parent as surrogates, excluding adult childre

204 nificantly increased compared with controls, spouses, or siblings.

205 We analyzed data from 4,500 spouse pairs aged 45-64 years from the Atherosclerosis R

206 We analyzed data from 3,889 spouse pairs in the Atherosclerosis Risk in Communities

207 smoking status tends to be concordant within spouse pairs.

208 Alcohol use is correlated within spouse-pairs, but it is difficult to disentangle effects

209 dents (80%) had insurance coverage through a spouse/parent plan at the time of diagnosis; 14% experie

210 m licensed private pesticide applicators and spouses participating in the Agricultural Health Study t

211 0.115, 95% CI: 0.081, 0.150)-but not from a spouse/partner (beta = -0.034, 95% CI: -0.059, -0.009) o

212 -than-average positive social support from a spouse/partner was associated with slower cognitive decl

213 f responsiveness in conversations with their spouse/partners, is linked with women's psychological he

214 y of life and post-traumatic growth (PTG) of spouses/partners compared with survivors and controls an

215 Spouses/partners experience similar emotional and greate

216 ty, and self-mutuality in conversations with spouses/partners in the whole sample (n = 148) and separ

217 rceptions of mutuality in conversations with spouses/partners predicted better health across a spectr

218 years) of the COVID-19 patient and 33% among spouses/partners.

219 This study assessed patients' and spouses' quality of life, appraisal of illness, resource

220 s of ARI antibiotic receipt as well as their spouses' rate of antibiotic receipt in the subsequent ye

221 their PEG, and were mainly assisted by their spouse rather than district nurses.

222 -identified as the surrogate for a parent or spouse recruited from eight U.S. cities through public a

223 Among spouses, relative SMRs exceeded 1.0 for lymphohematopoie

224 azard ratios for incident obesity by whether spouses remained nonobese, became obese, remained obese,

225 proximately two thirds of both, patients and spouses, reported posttraumatic stress symptoms defined

226 Spouse responses and physical variables were significant

227 on analyses to calculate the odds ratio of a spouse's being hypertensive on the basis of the other sp

228 ogy Project resources, the patient and their spouse's comprehensive longitudinal health histories wer

229 ion was 22 percent of that associated with a spouse's death (95 percent confidence interval, 17 to 27

230 We ascertained history of marital status and spouse's death by record linkage to the Registry of the

231 st increased depressive symptoms following a spouse's death.

232 lization of a spouse varied according to the spouse's diagnosis.

233 1992-2002) were also available on adult SES (spouse's education).

234 for men was not significantly higher after a spouse's hospitalization for colon cancer (hazard ratio,

235 omen, 3.0 percent died within a year after a spouse's hospitalization for colon cancer, 3.7 percent a

236 men, 6.4 percent died within a year after a spouse's hospitalization for colon cancer, 6.9 percent a

237 psychiatric disease, and 8.6 percent after a spouse's hospitalization for dementia.

238 psychiatric disease, and 5.0 percent after a spouse's hospitalization for dementia.

239 pitalization for stroke, 5.7 percent after a spouse's hospitalization for psychiatric disease, and 5.

240 pitalization for stroke, 7.5 percent after a spouse's hospitalization for psychiatric disease, and 8.

241 zation for colon cancer, 3.7 percent after a spouse's hospitalization for stroke, 5.7 percent after a

242 zation for colon cancer, 6.9 percent after a spouse's hospitalization for stroke, 7.5 percent after a

243 for men, the risk of death associated with a spouse's hospitalization was 22 percent of that associat

244 or women, the various risks of death after a spouse's hospitalization were similar.

245 being hypertensive on the basis of the other spouse's hypertension status across 4 visits, adjusting

246 (low) to 5 (high)) and change in his or her spouse's indices.

247 tively associated with changes in his or her spouse's physical activity.

248 fter a patient with HF dies, their surviving spouse's risk of hospitalization and death increases.

249 In contrast, spouses scored similarly to national norms.

250 Pairs of spouses share common lifestyle factors.

251 shared family environment to chronic pain by spouse, sibling, and household relationships.

252 n (aged 30-69 y) in the Framingham Offspring-Spouse study who were free of MetS risk factors at basel

253 mutation, is transmitted efficiently between spouses, suggesting that miR-28 may play an important ro

254 of baseline respondents and 87% of baseline spouses surveyed in 2017-2018.

255 stantial depressive symptoms even when their spouse survived a severe sepsis hospitalization (odds ra

256 ntly higher in subjects with an HIV-positive spouse than in those with HIV-negative spouse (men: OR,

257 ely to be shared within families and between spouses than between unrelated individuals, indicating t

258 Disorders were more common in spouses than other kinship relations (63% vs. 16%, p = .

259 arents and their adult children and dyads of spouses, the concordance between the chronic disease sta

260 Among female civilian spouses, the rate of maltreatment during deployment was

261 ndividuals remained married and 1,363 lost a spouse through death.

262 identified between respondents who met their spouse through on-line vs. traditional off-line venues,

263 te of the first diagnosis of cancer in their spouses through 2008.

264 sist both men with prostate cancer and their spouses to manage the effects of illness.

265 Spouses' transformation of motivation is strong where co

266 o 43.9%) that is significantly concordant in spouses (variance explained 18.7%, 95% CI 9.5% to 25.1%)

267 Mortality after the hospitalization of a spouse varied according to the spouse's diagnosis.

268 of death, and the effect of the illness of a spouse varies among diagnoses.

269 nt over time and were more pronounced if the spouse was affected by a cancer with a high mortality ra

270 ikely to have extramarital partners if their spouse was away: ~1.5 times if in Lesotho, ~3 times if i

271 rted that the relationship they had with the spouse was lost, but they still described satisfaction i

272 e PAF associated with having an HIV-positive spouse was low, but this is likely to increase during th

273 This difference was observable when the spouse was present.

274 sh Cancer Registry, and information on their spouses was retrieved from the Swedish Multi-Generation

275 y with spouse donors was limiting given that spouses were among the individuals most likely to comple

276 se spouses had graduate degrees, women whose spouses were high school graduates had a 1.16 times high

277 A total of 34,805 pairs of spouses were identified.

278 Spouses were more likely to be depressed if they were ol

279 ychosocial experiences of patients and their spouses were similar, but differed from dyads in other p

280 roconcordant but virally unlinked from their spouses were then tested by this method to detect superi

281 and conscious attitudes, which suggests that spouses were unaware of their automatic attitudes.

282 ores, as reported by nurse mothers and their spouses, were examined in association with risk of ASD u

283 ed (aHR 2.90, 1.44-5.84, p=0.0030), having a spouse who lives elsewhere (aHR 2.66, 1.29-5.45, p=0.007

284 nd 142 controls consisting of caregivers and spouses who had no genetic risk of Huntington disease.

285 Patients and spouses who had requested advice from the German Sepsis

286 Co-parenting spouses who live together remain in close physical proxi

287 Spouses, who are genetically unrelated but live together

288 Fifty-five were providing in-home care to a spouse with Alzheimer's disease, and 23 were married and

289 bset of 45 caregivers who were living with a spouse with dementia.

290 me alcohol use disorder, while marriage to a spouse with lifetime alcohol use disorder increased risk

291 nificantly worse FMD than those caring for a spouse with mild dementia (p = 0.028) and noncaregivers

292 (p = 0.033), with participants caring for a spouse with moderate to severe dementia showing signific

293 First marriage to a spouse with no lifetime alcohol use disorder is associat

294 ges in their marital satisfaction, such that spouses with more positive automatic attitudes were less

295 and their spouses and compared patients and spouses with norms for the general US population.

296 cores, we compared the HRQOL of patients and spouses with the general US population.

297 g older adults (age 51 y and older and their spouses) without dementia who had been randomly selected

298 became obese, the likelihood that the other spouse would become obese increased by 37% (95% CI, 7 to

299 ementia is increased following the loss of a spouse, yet women demonstrate a seemingly temporary decl

300 Chronic disease affects both patients and spouses, yet the effect of vasculitis on the spouses of