ライフサイエンスコーパス: health survey

1 a quality of life instrument, and short-form health survey)).

2 gy Life Quality Index and 36-item short form health survey).

3 with a generic QOL tool (36-Item Short Form Health Survey).

4 estionnaire (SAQ) and the 36-Item Short Form Health Survey.

5 nent Summary score of the 36-Item Short-Form Health Survey.

6 e emotional scales of the 36-Item Short Form Health Survey.

7 =18 years across 46 countries from the World Health Survey.

8 Household & Facility Survey, and the Annual Health Survey.

9 3) no disability, was assessed from the 2003 health survey.

10 distribution from nationally representative health survey.

11 a population-based cross-sectional national health survey.

12 -2002) in the European Community Respiratory Health Survey.

13 came from the 2009 cross-sectional Community Health Survey.

14 e of data was the 2008 Egypt Demographic and Health Survey.

15 Component Summary (MCS) from the Short Form Health Survey.

16 24 months with the Short Form Six-Dimension Health Survey.

17 ch to Surveillance" framework for population health surveys.

18 lds surveys and the Peruvian Demographic and Health Surveys.

19 cts are rarely considered in the analysis of health surveys.

20 ca and the Caribbean with data from national health surveys.

21 irths from 72 countries with Demographic and Health Surveys.

22 erian Oil Spill Monitor with Demographic and Health Surveys.

23 ing national household data from the "Hellas Health" surveys.

24 -series data from 5 national cross-sectional health surveys: 1957-1958 (n approximately 100,000 adult

25 e followed 243,372 participants in Norwegian health surveys (1994-2002) through 2014 for all-cause an

26 ed within the European Community Respiratory Health Survey 2, having information on cat/grass/D. pter

27 nationally representative Canadian Community Health Survey 2.2 were used.

28 component summary of the 12-item Short Form Health Survey (2.78; P = 0.003).

29 Data from the World Health Survey (2002-2004), including 229,293 adults, wer

30 We used Demographic and Health Surveys (2002-18) from 58 LMICs to study reproduc

31 Using Demographic and Health Survey (2003 and 2011) and Multiple Indicator Clu

32 ed 3 pooled cycles of the Canadian Community Health Survey (2003-2008) linked to 6 years of follow-up

33 ng data from the United Kingdom Adult Dental Health Survey 2009, the ICC and DE were calculated for s

34 18,410 participants from the Danish National Health Survey 2010 for up to 4 years.

35 on SSB consumption, BMI from the Australian Health Survey 2011-12, and energy balance equations.

36 ata from the fourth round of National Family Health Survey, 2015-16 of India.

37 ata were from India's fourth National Family Health Survey, 2015-16.

38 ,694 children surveyed in 54 Demographic and Health Surveys, 21 Malaria Indicator Surveys, and two AI

39 is of HRQoL outcomes based on the Short Form Health Survey-36 (SF-36) after GPi DBS in patients with

40 ist (perceived side effects), the Short Form Health Survey-36 and the Participation Scale.

41 xercise programs in improving the Short Form Health Survey-36 Mental Component Score (seven studies,

42 ental and physical health scores (Short Form Health Survey-36).

43 We analyzed data from the National Family Health Survey-4, 2015-2016, including 655,156 women aged

44 asthma who completed the Canadian Community Health Survey, 630 were identified as ACOS cases.

45 were drawn from the latest French Decennial Health Survey, a nationwide cross-sectional study conduc

46 ted a longitudinal study [Anniston Community Health Survey (ACHS II)] 8 y after the baseline (ACHS I)

47 sis of cross-sectional, quarterly population health surveys administered before and after implementat

48 integrated health care delivery system, with health survey and clinical examination data available.

49 r 24 months, components of the Short Form-36 Health Survey and Fatigue Severity Scale over 24 months,

50 who participated in the 1994/1995 Busselton Health Survey and had relevant data, no history of cance

51 life, measured by the Short Form-36 (SF-36) health survey and its physical and mental component subs

52 he Medical Outcomes Study 12-Item Short-Form Health Survey and self-reported vision-related HRQoL by

53 ysis from the 2010 Colombian Demographic and Health Survey and the National Nutritional Survey that i

54 h Stoma Database completed the Short-form 36 health survey and the stoma-QOL questionnaire.

55 tion descriptive quantities from large-scale health surveys and cohort studies.

56 We used data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys co

57 Demographic and Health Surveys and Multiple Indicator Cluster Surveys we

58 of cross-sectional data from demographic and health surveys and multiple indicator cluster surveys; 2

59 hildren, 1,941,734) from the Demographic and Health Surveys and the Multiple Indicator Cluster Survey

60 Our sample used 182 Demographic and Health Surveys and World Health Surveys (n = 2.24 millio

61 prevalence done in 2015-16 (Demographic and Health Survey) and 2017 (Malaria Indicator Survey).

62 Quality of life (Short Form-36 Health Survey) and arm function were not different betwe

63 ow-up, ECRHS (European Community Respiratory Health Survey) and EGEA (Epidemiological study on Geneti

64 yopathy Questionnaire), SF-36 (Short Form-36 Health Survey), and EQ-5D (EuroQoL).

65 -related quality of life (12-item Short-Form Health Survey), and self-reported improvement.

66 Medical Outcomes Study's 36-Item Short Form Health Survey, and both were updated every 4 years.

67 tcome Scale-Extended, the 12-item short form health survey, and the EuroQol.

68 e Malaria Indicator Surveys, Demographic and Health Surveys, and Multiple Indicator Cluster Surveys)

69 and sex from a pooled analysis of population health surveys, and regional estimates of current covera

70 -related quality of life [36-item short-form health survey] and daily step counts [accelerometry]) we

71 Disease Questionnaire and 36-Item Short Form Health Survey), anxiety and depression (Hospital Anxiety

72 Health surveys are an important resource for monitoring

73 Survey responses in public health surveys are heterogeneous.

74 The Scottish Health Surveys are record-linked cross-sectional surveys

75 ) and mental composite score Short Form (36) Health Survey at 12 to 36 months after transplantation.

76 physical function score on the Short Form-36 Health Survey at 2 years assessed by masked testers.

77 fe-36 (KDQOL-36) forms and the generic SF-12 Health Survey at baseline and 3 months.

78 by the European Quality of Life-5 Dimensions health survey at baseline and over follow-up.

79 e (Medical Outcomes Study 36-Item Short-Form Health Survey) at baseline and 12 months, assessed unbli

80 da, who responded to 1 of 4 population-based health surveys between 1996 and 2005 and were followed u

81 ountries who participated in Demographic and Health Surveys between 2004 and 2011.

82 igh school), the 2003 and 2009-2010 National Health Surveys [body mass index (BMI) and anemia prevale

83 a statistical models have been developed for health surveys, but none are sufficiently flexible to ge

84 indicator cluster surveys, and reproductive health surveys carried out since 2004 in 23 countries of

85 e data sets: the 2013 Canadian Forces Mental Health Survey (CFMHS) for the CAF (8161 respondents; res

86 ing datasets from successive demographic and health survey conducted between 2010 and 2018 in 51 LMIC

87 nd income.We used data from 4 national Swiss Health Surveys conducted between 1997 and 2012 (52,238 p

88 We combined data from six Demographic and Health Surveys conducted in Senegal between 1992/93 and

89 e) in the cross-sectional Canadian Community Health Survey cycle 2.2 were used in weighted multivaria

90 Using Demographic and Health Survey data between 1990 and 2017 with informatio

91 We used Demographic and Health Survey data collected between 2003 and 2014 from

92 We analyzed Demographic and Health Survey data from 284,281 women in 24 countries co

93 We used Demographic and Health Survey data from 34 African countries, targeting

94 Recent Demographic and Health Survey data from 58 countries (847685 surveys) we

95 factor-based model that used Demographic and Health Survey data on prevalence of the various risk fac

96 lts aged >/=21 y in the 2009 UK Adult Dental Health Survey data set.

97 signed households (size based on Demographic Health Survey data) that were geographically placed to m

98 els using 2005 and 2016 Ethiopia Demographic Health Surveys data combined with a suite of potential r

99 beria, and Sierra Leone from Demographic and Health Surveys data for malaria prevalence and coverage

100 haran African countries with Demographic and Health Surveys data spanning more than two decades.

101 a each delivery method using Demographic and Health Surveys data.

102 We used the most recent Demographic and Health Survey (DHS) conducted in 33 SSA countries betwee

103 nfections within households: (i) demographic health survey (DHS) data, integrating household informat

104 aged 0-35 mo with the use of Demographic and Health Survey (DHS) data.

105 ld surveys, most notably the Demographic and Health Survey (DHS), run in more than 90 countries and a

106 METHODS AND We analysed 15 Demographic and Health Surveys (DHS) and 14 Malaria Indicator Surveys (M

107 We considered all Demographic and Health Surveys (DHS) and Multiple Indicators Cluster Sur

108 do so, we used data from 25 demographic and health surveys (DHS) conducted in 20 countries since 200

109 Demographic and Health Surveys (DHS) conducted throughout sub-Saharan Af

110 rates using the most recent Demographic and Health Surveys (DHS) data for each country.

111 We used data from Demographic and Health Surveys (DHS) done in 54 LMICs between Jan 1, 200

112 e individual-level data from Demographic and Health Surveys (DHS) for 55 low- and middle-income count

113 We used data from Demographic and Health Surveys (DHS) for countries in which a survey was

114 from all publicly available Demographic and Health Surveys (DHS) from 2000 onwards.

115 lation-based cross-sectional Demographic and Health Surveys (DHS) from 51 LMICs.

116 or Cluster Survey (MICS) and Demographic and Health Surveys (DHS) programs.

117 ries (SSHs) collected during Demographic and Health Surveys (DHS).

118 to household surveys (e.g., Demographic and Health Surveys [DHS] and Multiple Indicator Cluster Surv

119 national Development (USAID) demographic and health surveys (DHSs) and AIDS indicator surveys (AISs)

120 data were extracted from 169 Demographic and Health Surveys (DHSs) that were collected across 63 coun

121 06 nationally representative Demographic and Health Surveys (DHSs) with full birth histories from 31

122 nd most mentally oriented 36-item short-form health survey dimensions, with evidence of greater effec

123 ormation system and the most recent national health survey done in 2007.

124 e by socioeconomic status by use of national health surveys done between 1998 and 2017 in 13 countrie

125 We obtained data from Demographic and Health Surveys done between 2010 and 2014, to compare th

126 s per week and binge drinking) from Scottish Health Surveys done in 1995, 1998, 2003, 2008, 2009, 201

127 s of women and children from Demographic and Health Surveys done in 35 African countries from 1990 to

128 igated in the European Community Respiratory Health Survey (ECRHS) study.

129 men) from the European Community Respiratory Health Survey (ECRHS) with information on asthma symptom

130 up 14 years), European Community Respiratory Health Survey ([ECRHS-Sp] n=514, 11 years), and Swiss Co

131 HRQOL assessed using the 36-Item Short Form Health Survey for all groups, and baseline and treatment

132 2015); body mass index distribution from the Health Survey for England (2016); disability weights for

133 tween Feb 1, 2011, and Dec 31, 2012; and the Health Survey for England (HSE) 2011, which measures hea

134 estyle Survey (HALS) and the cross sectional Health Survey for England (HSE).

135 measured using the EQ-5D, was compared to a Health Survey for England (HSE, n = 2981) sample.

136 k factors was calculated using data from the Health Survey for England 2006 to estimate and adjust fo

137 nal, nationally representative data from the Health Survey for England from Jan 1, 2008, to Dec 31, 2

138 e did a serial cross-sectional study of five Health Survey for England surveys based on nationally re

139 e individual-level data from Demographic and Health Surveys for 18 African countries with and without

140 We pooled data from 90 Demographic and Health Surveys for 30 sub-Saharan Africa countries on bi

141 vital registration (VR) and demographic and health surveys for information on the timing of neonatal

142 ousehold level data from the Demographic and Health Surveys for nine lower-income countries and socio

143 2016, we acquired data from the Demographic Health Surveys from 13 west African countries between 20

144 titative data analyses using Demographic and Health Surveys from 1996 to 2016; 3) a review of key nut

145 to 2010 (n = 447,058) and Canadian Community Health Surveys from 2000 to 2007 (n = 125,306).

146 titative data analysis using Demographic and Health Surveys from 2000-2016, qualitative data collecti

147 BMI of >= 30 drawn from The Danish National Health Surveys from 2005 to 2013.

148 We used data from 19 Demographic and Health Surveys from 2011 to 2018 including 83,990 partne

149 We analysed data from 121 Demographic and Health Surveys from 36 countries done between Jan 1, 199

150 hs from 338 223 women in 123 Demographic and Health Surveys from 58 LMICs, of which 9647 were stillbi

151 0 to 36 months of age in 179 Demographic and Health Surveys from 64 low-income and middle-income coun

152 itted helminthiasis using 77 Demographic and Health Surveys from December, 2003, to October, 2017.

153 mortality among respondents to the Scottish Health Surveys (from 1995 to 2010) were equivalent to th

154 of data from the Global School-based Student Health Survey (GSHS) for adolescents aged 12-15 years fr

155 The Global School-based Health Survey (GSHS) is a nationally representative self

156 We extracted Global School-Based Student Health Surveys (GSHS) datasets from the Centers for Dise

157 tionnaire 25 [VFQ-25] and 36-Item Short Form Health Survey), headache disability, and weight at month

158 emporary Mexican vital statistics, data from health surveys, healthcare costs, and SSB price elastici

159 der (n = 14,881) from the Canadian Community Health Survey-Healthy Aging (2008-2009).

160 nnaire of the European Community Respiratory Health Survey III without airways or lung disease.

161 lection of 61 geo-referenced Demographic and Health Surveys implemented between 1998 and 2014 were me

162 le measured the level of stress in a general health survey in 2010 of 17,525 residents of northern Ju

163 ess nonresponse bias in a population-sampled health survey in Scotland, with a focus on alcohol-relat

164 We used data from 82 Demographic and Health Surveys in 28 sub-Saharan African countries, incl

165 Data were sourced from national oral health surveys in Australia (2004 to 2006), Canada (2007

166 ed issue is how the language used for public health survey interviews is associated with the survey r

167 score on the Short Form 12-Item, version 2, Health Survey (IRR, 1.03; 95% CI, 1.01-1.04).

168 The general willingness to participate in health surveys is decreasing, resulting in increasingly

169 pulation survey, the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH 2012, n = 25,113).

170 rate, 79.8%) and the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH) for the CGP (23,39

171 rovision assessments (SPAs), Demographic and Health Surveys, Multiple Indicator Cluster Surveys, and

172 Our data sources included demographic and health surveys, multiple indicator cluster surveys, and

173 on per year) and biennial Canadian Community Health Survey (N approximately 5500 per cycle) data for

174 182 Demographic and Health Surveys and World Health Surveys (n = 2.24 million respondents) from 1995

175 pean cohorts (European Community Respiratory Health Survey: n = 2,757, aged 39-67 years; and Swiss St

176 articipated in the 2016 Nepal Demography and Health Survey (NDHS).

177 cidality using data from the National Mental Health Survey (NMHS) of India, 2015-16.

178 cle reports on the 2011 National Young Adult Health Survey (NYAHS), a pilot study conducted in the 50

179 port the first large-scale, community-based, health survey of HTLV-1 and its disease associations in

180 e tools and sampling strategies of the World Health Survey of the World Health Organization, cross-se

181 prevalence measured in the Spanish National Health Surveys of 1987, 1993, 1995, 1997, and 2001.

182 cessation available in the Spanish National Health Surveys of 2003-2004 and 2006-2007.

183 enters in the European Community Respiratory Health Survey on 3 occasions over 20 years.

184 lation-based studies, the Canadian Community Health Survey on Healthy Aging (2008-2009), and the Queb

185 prevalence was derived from Demographic and Health Surveys or similar national surveys, and malaria

186 ociation) impairment scale, SF-36 Short Form Health Survey, Oswestry Disability Index, and EuroQol 5

187 3 points on the 0 to 100 36-Item Short Form Health Survey physical and mental component summary scal

188 The 36-item Short Form Health Survey physical and mental quality-of-life scores

189 The improvement in the Short Form-12/36 Health Survey physical component score was clinically im

190 quality of life using the 36-Item Short Form Health Survey physical component summary score (SF-36 PC

191 ce interval, -48 to -44), 36-Item Short-Form Health Survey physical component summary score of 17.7 (

192 with the exception of the 36-item Short-Form Health Survey physical component summary score, which fa

193 al Outcomes Study 36-item Short Form General Health Survey Physical Components Score (p = 0.58).

194 al Outcomes Study 36-item Short Form General Health Survey Physical Components Score and Awareness Qu

195 al Outcomes Study 36-item Short Form General Health Survey Physical Components Score, and Awareness Q

196 nd Medical Outcomes Study 36-Item Short-Form Health Survey physical functioning questionnaires were a

197 nd Medical Outcomes Study 36-Item Short-Form Health Survey physical functioning questionnaires were a

198 l Capacity scale, and the 12-item Short Form Health Survey Physical Summary and Mental Summary are no

199 ale; and version 2 of the 12-item Short Form Health Survey Physical Summary and Mental Summary.

200 se Severity Test, and the 12-Item Short-Form Health Survey (physical and mental health), version 2.

201 ity surveys conducted by the Demographic and Health Survey Program with support from the US Agency fo

202 m 1993 through 2012 from the Demographic and Health Surveys Program.

203 year period from 1986 by the Demographic and Health Surveys programme for 84 World Bank low-income an

204 ent (SPA), developed for the Demographic and Health Surveys programme; the Service Availability and R

205 longitudinal European Community Respiratory Health Survey provided serum samples, spirometry, and qu

206 dition of the European Community Respiratory Health Survey questionnaire was completed by 1472 reside

207 HRQoL was measured by the 36-item short-form health survey questionnaire.

208 Data from the 12-item Short-Form Health Survey questionnaires were transformed into utili

209 al Health subscale of the 36-Item Short Form Health Survey (R = 0.69; P = .009) and low correlation w

210 17, 16, and 0.3; scores on the RAND 36-Item Health Survey ranged from 0 to 100, with higher scores i

211 tus, and quality of life (12-Item Short Form Health Survey, ranging from 0 to 100, with higher score

212 l data on 4385 surveys from the 2015 Catalan Health Survey, representative of the 2015 non-institutio

213 ll-cause mortality were lower among Scottish Health Survey respondents compared with the general popu

214 By cohort, Canadian Community Health Survey results indicated a decreasing cohort effe

215 alogue Score for pain, and the short form 36 health survey) RESULTS:: The intention to treat analysis

216 ulate normative values for the Short Form-12 Health Survey's Physical Component Summary (PCS) and Men

217 nd better mental well-being (mean Short Form Health Survey score: 54 versus 50; P=0.032).

218 Secondary outcomes included Short Form-36 Health Survey scores, satisfaction, and categorical resp

219 and year from the 2007 Swaziland Demographic Health Survey (SDHS), the 2011 Swaziland HIV Incidence M

220 midostaurin by using the 12-Item Short-Form Health Survey (SF-12) and the Memorial Symptom Assessmen

221 and the Medical Outcomes 12-Item Short Form Health Survey (SF-12) inventories.

222 t 24 months, and the EQ-5D and Short Form 12 Health Survey (SF-12).

223 estionnaire (SAQ) and the 12-Item Short-Form Health Survey (SF-12).

224 GAD-7) questionnaire, and 12-Item Short Form Health Survey (SF-12); and body-mass index (BMI).

225 nent Summary (MCS) of the 36-Item Short-Form Health Survey (SF-36 [range, 0-100; higher ratings indic

226 he Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) (ie, improvement of >/=5 points on

227 ssion Inventory (BDI) and 36-Item Short Form Health Survey (SF-36) annually <=7 years (N = 646; 78% f

228 as general health score on the Short Form-36 Health Survey (SF-36) at 18 months.

229 to 7 [best outcome]), and 36-item Short-Form Health Survey (SF-36) domain scores for physical functio

230 ing the self-administered 36-item Short Form Health Survey (SF-36) during study follow-up.

231 al health status VAS, and 36-item Short-Form Health Survey (SF-36) for HRQoL and nasal polyp-related

232 or both HbA1c less than 6.8% and Short Form Health Survey (SF-36) general health score of 48 or more

233 assessed by the Medical Outcomes Short Form Health Survey (SF-36) in the first 3 years (baseline, 12

234 more pain), spine surgery, and Short Form 36 Health Survey (SF-36) Physical Component Summary (PCS) a

235 phone interview using the 36-Item Short-Form Health Survey (SF-36) questionnaire, the Hospital Anxiet

236 the eight Medical Outcomes Study Short Form Health Survey (SF-36) scales at baseline, 6 months, and

237 Toronto Extremity Salvage Score, Short-Form Health Survey (SF-36), Brief Symptom Inventory (BSI), an

238 espiratory Questionnaire, 36-Item Short-Form Health Survey (SF-36), EQ-5D, Standard Gamble, and Visua

239 me measures were scores on the Short Form-36 Health Survey (SF-36), Kidney Dialysis Questionnaire (KD

240 erical Rating Scale (NRS), and Short Form 36 Health Survey (SF-36).

241 a were also collected including a short-form health survey (SF-36).

242 he Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36): physical functioning; role limita

243 he Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36; range, 0 to 100, with higher score

244 rminants of PROs using the 8-item Short-Form Health Survey (SF-8) scale (0-100) and sleep quality usi

245 nce Battery (SPPB) score, 36-item Short-Form Health Surveys (SF-36) for physical and mental health an

246 ealth-related quality of life (Short Form-36 Health Survey ([SF-36]), impact of weight on quality of

247 d quality-of-life scores (12-Item Short Form Health Survey [SF-12] and EuroQol instrument [EQ-5D]).

248 tia and general health status (Short Form-12 health survey [SF-12]) for the caregiver.

249 and symptom assessments (12-item Short Form Health Survey [SF-12], Functional Assessment of Cancer T

250 of life (measured on the 36-Item Short Form Health Survey [SF-36]); and mortality.

251 [STAI], the Short-Form 8-item 24-hour recall Health Survey [SF-8], and the Depression, Anxiety, and S

252 examination, well-being [12-item Short Form Health Survey; SF-12]).

253 icted data obtained from the Demographic and Health Surveys since 2005 in sub-Saharan Africa (31 coun

254 Of the Health Survey subscales, 5 of 7 improved significantly.

255 phenotype asked as part of an online mental health survey taken by a subset of participants (n = 157

256 The Demographic Health Survey Tanzania 2004 indicated that the region ha

257 even remote communities were invited to do a health survey that included a questionnaire, spirometry

258 spatial, household data from Demographic and Health Surveys that measured mother-reported deworming i

259 onal and mutually comparable demographic and health surveys that were conducted between 1994 and 2012

260 from multiple rounds of the Demographic and Health Survey, the District Level Household & Facility S

261 t Summary (MCS) of the Veterans RAND 12-Item Health Survey, the Patient Health Questionnaire 9-item d

262 Angina Questionnaire, the 12-Item Short Form Health Survey, the Rose Dyspnea Scale, the Patient Healt

263 sing data from two nationally representative health surveys, the 1988-2010 National Health and Nutrit

264 estimation strategies to the Demographic and Health Surveys, this paper reports, to my knowledge, the

265 We used Demographic Health Surveys to analyse trends in coverage and equity

266 story data collected via the Demographic and Health Surveys to assemble a panel of approximately 300,

267 nd data from recent (2006 or later) national health surveys to estimate the proportion of the populat

268 could be adapted for other geocoded national health surveys to generate reliable SAEs for population

269 rom these and six Bangladesh Demographic and Health Surveys to measure changes in factors potentially

270 Bacterial Core surveillance and the National Health Survey, using Active Bacterial Core surveillance

271 ensus criteria: EQ-5D and 36-item Short Form Health Survey version 2 (optional) for the "satisfaction

272 ealth related quality of life [Short form-36 Health Survey version 2 (SF-36v2) and Chronic Liver Dise

273 aluated using the 36-Item Short Form General Health Survey version 2 (SF-36v2) questionnaire at 11-20

274 n using four questionnaires, Short Form (36) Health Survey version 2 (SF-36v2), the Functional Assess

275 hic Pain Symptom Inventory and 36-Short Form Health Survey version 2 [SF-36v2]).

276 EORTC QLQ STO22); and the 36-item short form health survey version 2.0, were completed before and at

277 he Medical Outcomes Study 36-Item Short Form Health Survey, version 2.

278 dy were the use of a recent Chinese national health survey, vital statistics, health care costs, and

279 The 2015-2016 Malawi Demographic and Health Survey was a nationally representative household

280 an Africa where at least one Demographic and Health Survey was done before and after 2008.

281 ulation-based European Community Respiratory Health Survey, we assessed the association between 10 lo

282 to AAPQ items as they responded to a general health survey, we calculated the sex- and age-specific p

283 Using 149 cross-sectional Demographic and Health Surveys, we determined the relationship between v

284 9 who participated in the Canadian Community Health Survey were identified and followed until 2014 to

285 respondents (aged 20-64 years) to 6 Scottish Health Surveys were confidentially linked to death and h

286 Demographic and Health Surveys were used to conduct descriptive analyses

287 Demographic and Health Surveys were used to estimate the cumulative numb

288 sthma and the European Community Respiratory Health Survey) were included.

289 81% from the European Community Respiratory Health Survey) were included.

290 quality of life (based on the Short Form-36 health survey) were secondary outcome measures.

291 he Medical Outcomes Study 12-Item Short-Form Health Survey, were not affected in this cohort.

292 50 countries which participated in the World Health Survey (WHS) 2002-2004 were analyzed.

293 37 023 adults aged >=18 years from the World Health Survey (WHS) 2002-2004 were analyzed.

294 the 2015-2016 Indian National Fertility and Health Survey with available data on hemoglobin.

295 HRQoL was assessed by the Short Form (SF)-12 health survey with mental and physical component scales

296 We assessed patient utility using the EQ-5D health survey with US weights at baseline and 1 month an

297 es will need to administer regular household health surveys with biological and clinical data collect

298 in the World Health Organization (WHO) World Health Surveys with country-level data from different in

299 Using Demographic and Health Surveys with generalized additive models, we quan

300 ty risk from the most recent Demographic and Health Surveys with published relative risks to estimate