コーパス検索結果 (1語後でソート)
通し番号をクリックするとPubMedの該当ページを表示します
1 able housing, 1.66 [1.37-2.00; p<0.0001] for homelessness).
2 g through drugs misuse, tobacco smoking, and homelessness.
3 te the hospitalization costs associated with homelessness.
4 s effective programs and policies to prevent homelessness.
5 persons who are homeless or on the brink of homelessness.
6 k for homelessness based on prior history of homelessness.
7 houses, there are few problems with crime or homelessness.
8 homelessness with those without a history of homelessness.
9 living with HIV (PLWH) who are experiencing homelessness.
10 nductance, while viewing people experiencing homelessness.
11 ess and 176 (67.7%) had formerly experienced homelessness.
12 erious infection in individuals experiencing homelessness.
13 use of death among older people experiencing homelessness.
14 ess the health of individuals who experience homelessness.
15 l health disorders among people experiencing homelessness.
16 , and 14% were experiencing unstable housing/homelessness.
17 Depression is common in adults experiencing homelessness.
18 s or older and met the federal definition of homelessness.
19 ccepting, especially for people experiencing homelessness.
20 vey to count unsheltered people experiencing homelessness.
21 to service provision for people experiencing homelessness.
22 housing attainment among people experiencing homelessness.
23 (95% CI: 10.0-21.3) among those experiencing homelessness.
24 sproportionately impacts people experiencing homelessness.
25 .6]; females 3.3 [3.1-3.5]) compared with no homelessness.
26 essness or current homelessness and previous homelessness.
27 y those at risk of or currently experiencing homelessness.
28 tive emotion after watching videos depicting homelessness.
29 k of adverse outcomes in people experiencing homelessness.
30 housed participants who formerly experienced homelessness.
31 n among iGAS patients with documented IDU or homelessness.
32 utcomes compared with those not experiencing homelessness.
33 utcomes compared with those not experiencing homelessness.
34 independently associated with postdeployment homelessness.
35 by confounding issues of substance abuse or homelessness.
36 veral factors associated with postdeployment homelessness.
37 health implications for people experiencing homelessness.
38 licies and structural factors that result in homelessness.
39 he most important structural determinant for homelessness.
40 ether the mortality rate was associated with homelessness.
41 ctions in PTSD symptoms and less poverty and homelessness.
42 for emm12, and 2.21 [1.38-3.56] for emm92), homelessness (1.42 [1.01-1.99]), injection drug use (2.0
43 .13-2.95; p=0.014]; n=5) was higher than for homelessness (1.44 [1.13-1.83; p=0.0036]; n=12), whereas
45 2 for cases and 0.77 for controls; P<0.001), homelessness (3.2% for cases and 1.6% for controls; P=0.
48 h premature discontinuation were unsheltered homelessness (adjusted odds ratio, 4.5; 95% CI, 2.3-8.6;
49 tatus remained independently associated with homelessness after adjusting for co-occurring mental hea
51 azard ratio [aHR], 1.62; 95% CI, 1.13-2.32), homelessness (aHR, 1.82; 95% CI, 1.23-2.68) or instituti
52 es vs no exposures: HR 8.4 [95% CI 7.3-9.5]; homelessness alone vs no exposures: HR 2.2 [1.9-2.5]).
54 age yearly increase in prevalence of IDU and homelessness among iGAS patients was 17.5% and 20.0%, re
55 95% CI, 1.23-1.74), denoting higher risk for homelessness among males with a positive screen for MST.
57 here was a substantially greater decrease in homelessness among veterans than in the general populati
58 patients (32.3%) were currently experiencing homelessness and 176 (67.7%) had formerly experienced ho
59 a 37% (95% CI=18%-55%) greater reduction in homelessness and a 26% (95% CI=7%-44%) greater improveme
60 104% (95% CI=67%-141%) further reduction in homelessness and a 62% (95% CI=0%-124%) further reductio
63 ional structures and ways of thinking within homelessness and health systems that limit collective di
64 ue TLS sample had fewer persons experiencing homelessness and incarceration, and more persons with he
67 ach recruitment targeted people experiencing homelessness and injecting drugs in an urban US communit
70 nd ICU admission between people experiencing homelessness and matched housed patients were not statis
80 standard case management models in reducing homelessness and symptom severity in homeless persons wi
81 the VA have higher rates of substance abuse, homelessness and unemployment than individuals who recei
83 lack, non-service connected, or experiencing homelessness and/or housing instability were less likely
84 us residence in Tarrant County, a history of homelessness, and a history of visiting or working in ba
85 to changing public policies that perpetuate homelessness, and assist in the development and provisio
86 breaks included community economic problems, homelessness, and changes in drug injection patterns.
87 s should review approaches to reduce risk of homelessness, and consider improving liaison with mental
90 in-financial debt/crisis, unemployment, past homelessness, and lower income-and subsequent suicide at
91 in-financial debt/crisis, unemployment, past homelessness, and lower income-are associated with subse
94 ospital services, adjustment for disability, homelessness, and neighborhood marginalization influence
95 on substance dependence, psychotic symptoms, homelessness, and psychosocial outcomes, and few group-b
96 missed appointments, active substance abuse, homelessness, and unemployment are associated with no-sh
98 ; living through a pandemic while navigating homelessness; and, adaptations to service provision for
101 medical conditions, and persons experiencing homelessness are at increased risk for invasive pneumoco
103 reduce recurrent cycles of incarceration and homelessness are needed to augment behavioral interventi
104 adversely affected by housing insecurity and homelessness, are at risk for lower-quality and unsafe h
105 ARR, 1.43 [95% CI, 1.08-1.89]; P = .013) and homelessness (ARR, 1.72 [95% CI, 1.25-2.39]; P = .001).
106 upport the recent ACIP recommendation to add homelessness as an indication for hepatitis A vaccinatio
107 ychiatric problems have been associated with homelessness as risk factors; however, reliance on cross
108 h severe mental illness who were at risk for homelessness: assertive community treatment alone, asser
109 d with mortality included a first episode of homelessness at 50 years and older (adjusted hazard rati
112 lved pregnant patients who were experiencing homelessness at the time of delivery, for a prevalence r
113 and either current homelessness or risk for homelessness based on prior history of homelessness.
116 ng 1761 individuals with previous history of homelessness before index imprisonment, 357 (20.7%) beca
117 ents had experienced at least one episode of homelessness before or within 24 months of their first p
118 less education, minority status, longer-term homelessness, being sexually assaulted, being arrested,
120 ave examined provider perspectives in family homelessness, but none focused on U5TA specifically.
121 as predominantly male, and had high rates of homelessness, cigarette smoking, alcoholism, injection d
122 60; 95% CI, 0.53-0.66), unstable housing and homelessness (Cohen d, 0.40; 95% CI, 0.34-0.47), and emo
123 alth insurance, use of other VA programs for homelessness, comorbidities, and geographic location.
125 I, 1.06-1.19]), and veterans who experienced homelessness compared with those who did not (eg, 3-day
128 ing Veteran Homelessness initiative, veteran homelessness decreased 55.3% compared with 8.6% for the
132 In this cohort study of people experiencing homelessness, drug overdose accounted for 1 in 4 deaths,
133 ations, including people with experiences of homelessness, drug use, imprisonment, and sex work.
134 fficulties in supporting people experiencing homelessness during the COVID-19 pandemic and informs pl
135 e interviews (22 with people who experienced homelessness during the pandemic and 11 with homelessnes
136 or financial problems, financial insecurity, homelessness, employment status) were assessed at T2.
137 tracking mortality among people experiencing homelessness from 2016 to 2021 in San Francisco, Califor
138 entative survey study of adults experiencing homelessness from October 2021 to November 2022 in 8 Cal
140 rmerly incarcerated people with histories of homelessness had higher rates of drug-related death (RR
143 h complex needs, such as people experiencing homelessness, have higher cancer incidence and mortality
144 emature death, with individuals experiencing homelessness having substantially higher mortality rates
145 ng >1 sexual partner, hazardous alcohol use, homelessness, having safety concerns regarding transit t
146 tween social vulnerability (imprisonment and homelessness), health behaviours (alcohol and drug use),
148 ith regard to age, sex, race, foreign birth, homelessness, history of incarceration, or prior tubercu
150 Overall, 131 (58%) patients had a history of homelessness, imprisonment, drug use, alcohol problems o
151 d were done in populations with a history of homelessness, imprisonment, sex work, or substance use d
153 This study reports on the occurrence of homelessness in a quasi-representative sample of persons
156 representative study of adults experiencing homelessness in California, there was a high proportion
157 symptom screening among people experiencing homelessness in congregant living settings in San Diego,
160 g adults aged 50 years or older experiencing homelessness in Oakland, California, and conducted struc
161 m the Health Outcomes of People Experiencing Homelessness in Older Middle Age (HOPE HOME) project, wh
162 tudy (Health Outcomes in People Experiencing Homelessness in Older Middle Age [HOPE HOME]), 450 adult
164 e number of deaths among people experiencing homelessness in San Francisco increased markedly during
165 re were 331 deaths among people experiencing homelessness in the first year of the COVID-19 pandemic.
168 is longitudinal study of people experiencing homelessness in Toronto, SARS-CoV-2 incident infection r
169 as follows: black ethnicity, low income, and homelessness in US-born patients and homelessness in for
170 odes addressing problems related to housing: homelessness; inadequate housing; discord with neighbors
172 V among its PWID population, associated with homelessness, incarceration, and a major shift to inject
173 ng stability (as determined from episodes of homelessness, incarceration, hospitalization, and reside
174 lack race, lower educational level, poverty, homelessness, incarceration, substance use, binge alcoho
175 Hispanic ethnicity, educational attainment, homelessness, income, health insurance, HIV status, gend
177 s cohort study of the federal Ending Veteran Homelessness initiative, after program implementation, t
178 uring the active years of the Ending Veteran Homelessness initiative, veteran homelessness decreased
192 tuberculosis morbidity in urban areas where homelessness is common and the incidence of tuberculosis
193 the full extent of the risks associated with homelessness is not possible to quantify without reliabl
194 .0013), representing the combined effects of homelessness, jail stay, promiscuity, intravenous drug u
195 controlled trial, we address a core cause of homelessness-lack of money-by providing a one-time uncon
198 in deprived areas linked with overcrowding, homelessness, low income, and recent immigration to the
199 -11.6]), which were higher than for previous homelessness (males 2.0 [1.8-2.2]; females 3.4 [2.8-4.1]
201 In this cohort of 60 092 adults experiencing homelessness (mean [SD] age at entry, 40.4 [13.1] years;
202 s, residential status was categorized as (1) homelessness (meeting the HEARTH [Homeless Emergency Ass
203 alence of less traditional risk factors (eg, homelessness, military sexual trauma, and mental health
204 susceptible subgroups (eg, PWID experiencing homelessness) needs to be in place to prevent or rapidly
205 younger age, urban residency, alcohol abuse, homelessness, noninjection drug use, and a history of in
211 s, such as schizophrenia, and either current homelessness or risk for homelessness based on prior his
212 recently (within the past year) experienced homelessness or unstable housing, and 57.9% (50.5-65.2)
214 oyment (OR = 1.52, 95% CI: 1.10, 2.10), past homelessness (OR = 1.50, 95% CI: 1.03, 2.17), and lower
222 ability to avoid contracting HCV (P < .001), homelessness (P = .002), and living with a PWID (P = .00
223 were characterized by low income (P=0.003), homelessness (P = 0.004), and exposure to lice (P= 0.03)
224 e ability to avoid contracting HCV (p<.001), homelessness (p=.002), and living with a PWID (p=.007).
225 se disorder admitted to inpatient treatment, homelessness, parole and probation status, medication pr
227 rug overdose death among people experiencing homelessness, patterns in drug overdose mortality, inclu
228 Existing literature on people experiencing homelessness (PEH) draws on nonrepresentative samples fr
229 ase 2019 (COVID-19) that people experiencing homelessness (PEH) face in congregate shelters versus un
230 inject drugs (PWID) and people experiencing homelessness (PEH) have increased, concurrent with risin
231 COVID-19 outbreaks among people experiencing homelessness (PEH) in other U.S. cities, we conducted mu
232 OVID-19) outbreaks among people experiencing homelessness (PEH) in other US cities, we conducted mult
234 fections primarily among people experiencing homelessness (PEH) to identify risk factors and support
235 f COVID-19 mortality for people experiencing homelessness (PEH) vs the general population, and none t
236 in at-risk groups, like people experiencing homelessness (PEH) with alcohol or drug use disorders.
237 inject drugs (PWID) and people experiencing homelessness (PEH), understanding the transmission dynam
239 ny exposure than among people with none (eg, homelessness plus other exposures vs no exposures: HR 8.
244 er among participants currently experiencing homelessness (RD, 19.7% vs 41.1%; P = .03), such that a
249 homelessness during the pandemic and 11 with homelessness sector service providers) were done in the
252 stralia (three drug and alcohol clinics, one homelessness service, and one needle and syringe program
253 with people managing, delivering, and using homelessness services (n=41 interviews, two focus groups
254 e to a screener, diagnostic codes, or use of homelessness services, and outcomes were assessed in the
255 ienced homelessness, those with a history of homelessness showed a significantly greater risk of ESKD
257 at baseline and at one year was predicted by homelessness (t=-2.98, p=0.001, CI -4.74 to -1.21), dura
259 use of infection amongst people experiencing homelessness that is underdiagnosed due to its nonspecif
260 In the general population with no history of homelessness, the mortality rate per 10 000 person-years
262 ssistance programs for those facing imminent homelessness, there is little evidence of their impact.
263 mpared with veterans who had not experienced homelessness, those with a history of homelessness showe
265 s with human immunodeficiency virus (HIV) or homelessness to diagnose or to exclude tuberculosis, and
266 ars living in temporary accommodation due to homelessness (U5TA) are extremely vulnerable to the effe
267 t, and did not include costs associated with homelessness, unemployment, and breakdown in family stru
268 se assumptions, including (a) definitions of homelessness used to count the numbers of families and d
269 completion rates were associated with being homelessness, using excess alcohol, and having experienc
278 ienced sudden death in San Francisco County, homelessness was associated with greater risk of sudden
279 rospective study of US veterans with cancer, homelessness was associated with later stages at diagnos
284 with incident stage 3 to 5 CKD, a history of homelessness was significantly associated with a greater
285 ans with a positive screen for MST, rates of homelessness were 1.6% within 30 days, 4.4% within 1 yea
287 In adjusted analysis, injection drug use and homelessness were associated with increased virological
288 ervice characteristics, odds of experiencing homelessness were higher among those who screened positi
289 black race, a history of alcohol abuse, and homelessness were predictors of clustering of low-copy-n
290 patients with housing and those experiencing homelessness were present but smaller than observed in o
291 on rates among people with documented IDU or homelessness were ~14-fold and 17- to 80-fold higher, re
292 posures (eg, substance abuse, incarceration, homelessness) were associated with HACO and HO infection
293 radic experiences of brief incarceration and homelessness, whereas the rest had the other 5 patterns,
294 in the general population with no history of homelessness, which resulted in an absolute difference o
295 iated risk factors among people experiencing homelessness with the most common being tobacco use, ran
296 ulated to compare veterans with a history of homelessness with those without a history of homelessnes
297 7,500 to each of 50 individuals experiencing homelessness, with another 65 as controls in Vancouver,
298 independently associated with postdeployment homelessness, with male veterans at greater risk than fe