ライフサイエンスコーパス: absenteeism

1 xamine the association of AUD with workplace absenteeism.

2 ed to assess the association between AUD and absenteeism.

3 t the ability to perform at work and lead to absenteeism.

4 for school-aged children may prevent school absenteeism.

5 nstruction was not associated with increased absenteeism.

6 tion between SBHC access and risk of chronic absenteeism.

7 Primary outcome was days of unplanned absenteeism.

8 avy menstrual bleeding or pain contribute to absenteeism.

9 l exhaustion, and professional efficacy) and absenteeism.

10 as no significant effect of BCG on unplanned absenteeism.

11 on a network in the context of rising worker absenteeism.

12 ion in susceptibility and access to sickness absenteeism.

13 on symptom presentation, social history, and absenteeism.

14 ty, healthcare seeking, hospitalization, and absenteeism.

15 pressure on quality of life, mood, and work absenteeism.

16 c impacts resulting from hospitalization and absenteeism.

17 ure of asthma-associated morbidity is school absenteeism.

18 t presentation to the school nurse or during absenteeism.

19 of SLV on laboratory-confirmed influenza and absenteeism.

20 ovements in management methods reduce school absenteeism.

21 nt-perceived ill health, and school problems/absenteeism.

22 levels of health care utilization, and work absenteeism.

23 care use and indirect costs, chiefly through absenteeism.

24 as chronically absent or at risk for chronic absenteeism.

25 sease and hospitalization, leading to school absenteeism.

26 children with 2 or more conditions, had more absenteeism (1 condition adjusted incidence rate ratio [

27 3% (73/97); anxiety, 34.0% (33/97); and work absenteeism, 10.8% (10/93).

28 ng those employed, the mean score was 2% for absenteeism, 18% for presenteeism, and 19.6% for overall

29 .5%; adjusted OR, 1.25 [95% CI, 1.09-1.43]), absenteeism (26.0% vs 20.9%; adjusted OR, 1.23 [95% CI,

30 p = 0.01), and nonsignificantly reduced work absenteeism (-3.35 [-6.83, 0.14], p = 0.06); partnered I

31 nge from baseline [SE]) relative to placebo: absenteeism (-3.5 [0.87], P < .001; -2.6 [0.84], P = .00

32 ns experienced a decrease in follow-up visit absenteeism (33.33% vs 0%, P = 0.0093).

33 t risk (0%-4.99% absent), at risk of chronic absenteeism (5%-9.99% absent), and chronically absent (>

34 Reasons for not vaccinating included absenteeism (6.3%) and parent refusal (6.7%).

35 .006 to 0.03] L/yr, respectively), and lower absenteeism (-8% [95% CI, -16.0 to -0.7%]), with stronge

36 the relative prevalence of menstrual-related absenteeism across different levels of the independent v

37 nd factors contributing to menstrual-related absenteeism across low-income and middle-income countrie

38 reater odds of being not at risk for chronic absenteeism after accounting for grade, sex, school year

39 hildren looked after away from home had less absenteeism (AIRR 0.35, 95% CI 0.33 to 0.36), less exclu

40 gnificant morbidity and high rates of school absenteeism, along with excessive costs for the patient

41 95% CrI, 2 524 351-3 332 783) days of school absenteeism among children aged 5 to 17 years and an est

42 ed with increased respiratory-related school absenteeism among children, especially those with asthma

43 on was found between SBHC access and reduced absenteeism among elementary school students and among c

44 of nosocomial spread of COVID infection and absenteeism among healthcare workers, impacting the qual

45 Chronic absenteeism among kindergarten through grade 12 students

46 services at school, SBHCs may help decrease absenteeism among students in rural communities.

47 -level data, I show that the rate of chronic absenteeism among US public-school students grew substan

48 ght leads to over a 50% increase in employee absenteeism and a reduction of more than two working hou

49 itive employees and associated reductions in absenteeism and benefit payments lead to cost savings co

50 sting depression was the strongest driver of absenteeism and coexisting ADHD the strongest driver of

51 probably associated with increases in school absenteeism and dropout; reduced likelihood of obtaining

52 of SEN and 9.53, 12.70, and 13.74 years for absenteeism and exclusion, attainment, and unemployment,

53 rbidity was associated with increased school absenteeism and exclusion, unemployment, and poorer exam

54 We aimed to test the effect of BCG on absenteeism and health of Danish health care workers (HC

55 truction, and asthma-related school and work absenteeism and hospital admissions obtained during nine

56 was no association between menstrual-related absenteeism and household wealth or the use of menstrual

57 mentation, alone or in combination, affected absenteeism and illness in iron-deficient schoolchildren

58 own risk factor for poorer health, increased absenteeism and lower work performance.

59 that are feasible to monitor, such as school absenteeism and national ILI surveillance system.

60 In the United States, related absenteeism and poor job performance cost $148 billion a

61 , we emphasize the biasing influence of data absenteeism and positionality and conclude with recommen

62 Indirect costs (absenteeism and presenteeism [productivity lost in the w

63 MTX, CZP plus MTX significantly reduced work absenteeism and presenteeism among patients working outs

64 nts with CHC GT1 in the ION trials exhibited absenteeism and presenteeism impairments of 2.57% and 7.

65 rials achieved SVR; these patients exhibited absenteeism and presenteeism impairments of 2.62% (P = 0

66 pulation; standardized absolute and relative absenteeism and presenteeism scores; standardized scores

67 euro55 and euro151 billion per annum due to absenteeism and presenteeism, that is, euro2405 per untr

68 vements were found for self-efficacy, school absenteeism and quality of life.

69 atient resource utilisation and the costs of absenteeism and replacement of sick workers.

70 ntly improves school performance and reduces absenteeism and tardiness.

71 Understanding how to reduce chronic absenteeism and use virtual learning without potentially

72 udent influenza vaccination coverage, school absenteeism, and community-wide indirect effects on labo

73 tween HCV infection, productivity, increased absenteeism, and higher healthcare benefit costs.

74 l and marijuana use, physical fights, school absenteeism, and paid employment.

75 Excess all-cause mortality, absenteeism, and presenteeism data due to long-term back

76 y, as shown by increased use of health care, absenteeism, and reduced workplace productivity.

77 ed spending on treatment, wage losses due to absenteeism, and reductions in quality of life, for indi

78 infection, incidence of infection-associated absenteeism, and scores on the physical and mental healt

79 tings due to reductions in healthcare costs, absenteeism, and staff turnover.

80 chronotype on grades was similar to that of absenteeism, and that late chronotypes were more often a

81 fectiveness, vaccine coverage, risk factors, absenteeism, and use of personal protective equipment, a

82 State-level increases in chronic absenteeism are positively associated with the prevalenc

83 itive to assumptions regarding incidence and absenteeism, ART is cost-saving under considerable param

84 Primary outcomes were markers of workplace absenteeism as defined by the number of days missed from

85 lementation should reduce significant school absenteeism as well as complications seen last year incl

86 facilities, and COVID-19 symptoms recall and absenteeism at one facility.

87 d 0 to 17 years and estimated days of school absenteeism averted among children aged 5 to 17 years un

88 and wellbeing (increased accidents, fatigue, absenteeism) but can be perceived as beneficial by both

89 sociated with improved FeNO, FVC growth, and absenteeism, but these findings were primarily restricte

90 Asthma is a leading cause of school absenteeism, but this absenteeism is not equally distrib

91 on, changed fuel/technologies likely reduced absenteeism by more than 14 million/yr.

92 ion of historical metrics including those on absenteeism, caseload, and competence, which primarily c

93 and classified by federal and state chronic absenteeism categories: not at risk (0%-4.99% absent), a

94 Employee absenteeism caused by flu infection costs hundreds of mi

95 Most of the studies captured absenteeism costs related specifically to sick leave, wh

96 Absenteeism costs were classified into three categories:

97 We analyzed student absenteeism data from 2011 to 2018 from each district (N

98 Parental consent for sharing absenteeism data was obtained for 937 (57%) of 1,640 stu

99 urgery; 23,814 were employees with workplace absenteeism data.

100 l [CrI], 4 936 933-5 957 507) days of school absenteeism due to COVID-19 illness.

101 enza vaccination was associated with reduced absenteeism due to fever or cough illness, but not absen

102 The vaccine efficacy for preventing school absenteeism due to respiratory illness during the period

103 ched euro1772.90 (presenteeism, euro1682.71; absenteeism, euro90.19).

104 Rates of school absenteeism for any cause (based on school records) were

105 eeism due to fever or cough illness, but not absenteeism for other reasons.

106 Health plan spending and workplace absenteeism from 14 days before through 352 days after t

107 he outcome of interest was menstrual-related absenteeism from work, school, or social activities duri

108 Menstrual-related absenteeism from work, school, or social activities is a

109 ainly in terms of productivity losses due to absenteeism from work.

110 uding costs beyond health care [eg, parent's absenteeism from work]).

111 School grades, school dropout, school absenteeism, grade retention, high school completion, un

112 Essential worker absenteeism has been a pressing problem in the COVID-19

113 ed symptoms of infection, symptom-associated absenteeism, health care use, and impact on daily activi

114 e, asthma status, and illness-related school absenteeism in a cohort of 1,932 fourth-grade schoolchil

115 f participant-reported infection and related absenteeism in a sample of participants with type 2 diab

116 r job security was associated with decreased absenteeism in the past year (IRR, 0.89 [95% CI, 0.82-0.

117 d with decreased hospitalizations and school absenteeism in the pediatric population.

118 vel COVID-19 cases, quarantines, and student absenteeism, increasing missingness over time, and varia

119 h SEN (OR 1.28, CI 1.18 to 1.39, p < 0.001), absenteeism (IRR 1.09, CI 1.06 to 1.12, p < 0.001), excl

120 Illness-related school absenteeism is a measure of a broad spectrum of adverse

121 nding of communication inequalities and data absenteeism is critical

122 eading cause of school absenteeism, but this absenteeism is not equally distributed among those with

123 Menstrual-related absenteeism is prevalent, especially in Asia and Africa

124 ization measures, and 3 employment outcomes (absenteeism, job tenure, and job performance).

125 oductive capacity (99% vs 87%; P<.001), less absenteeism (losses = $24 vs $115 per worker per month;

126 Given observed care-seeking and absenteeism, losses are in the range of US$29.0 billion

127 cancer was adversely associated with school absenteeism, medical care unaffordability, health care u

128 School absenteeism, medical care unaffordability, health care u

129 , parental cancer was associated with school absenteeism, medical care unaffordability, increased hea

130 ing implied by the sharp increase in chronic absenteeism merit further scrutiny and policy responses.

131 o which AUD currently factors into workplace absenteeism needs further characterization in the US.

132 For example, the odds ratios for school absenteeism of 1 day or more changed from 1.33 (95% CI,

133 eventing daily activities, resulting in work absenteeism or requiring medical consultation (adjusted

134 te (OR, 2.19 [95% CI, 1.73-2.78]) and school absenteeism (OR, 2.31 [95% CI, 1.76-3.03]).

135 owth, health care attention seeking, daycare absenteeism, or other health variables.

136 prevented daily activities, resulted in work absenteeism, or required a medical consultation, includi

137 an increased prevalence of menstrual-related absenteeism (overall pooled prevalence ratio 1.25 [1.05-

138 omic consequences such as absence from work (absenteeism), particularly reduced productivity at work

139 saving and investment, worker productivity, absenteeism, premature mortality and medical costs.

140 relevant publications reporting outcomes on absenteeism, presenteeism and productivity losses in mod

141 symptom scores were associated with greater absenteeism, presenteeism, and activity impairment.

142 uctivity gains from reduced HCV-attributable absenteeism, presenteeism, and premature deaths.

143 SUDs have a diagnosis, and costs related to absenteeism, presenteeism, job retention, and mortality

144 ts, hospitalizations in the past six months; absenteeism, presenteeism, overall work impairment, and

145 This study was designed to compare absenteeism, productivity, and health cost between emplo

146 -0.39 [95% CI, -0.64 to -0.14]), as well as absenteeism (r = 0.15 [95% CI, 0.03-0.26]).

147 Chronic absenteeism rates at the district level, which were regr

148 HPV vaccination did not increase absenteeism rates in selected schools.

149 Chronic absenteeism rates increased by 13.5 percentage points, f

150 School absenteeism rates prior to vaccination ranged from 8.1%

151 ion during the COVID-19 pandemic had chronic absenteeism rates that were 6.9 percentage points (95% C

152 ) in influenza hospitalization incidence and absenteeism rates using generalized linear and log-linea

153 on much larger for at-risk students; chronic absenteeism rates were 10.6 percentage points (95% CI, 7

154 to employees leaving the workforce and when absenteeism rates were half of what data suggested.

155 In this cross-sectional study, chronic absenteeism rates were substantially higher in school di

156 ctiveness in schools have assessed all-cause absenteeism rather than laboratory-confirmed influenza.

157 esulted in 4.1% (3.9-4.2%) additional school absenteeism risk.

158 Moreover, school absenteeism (SA) is associated with negative consequence

159 Additionally, a higher absolute absenteeism score was associated with a higher anxiety (

160 The magnitude of school absenteeism suggests that children may be at increased r

161 ave a higher prevalence of menstrual-related absenteeism than those in older age groups, with overall

162 xperienced a 22% absolute decrease in school absenteeism, the number of children with an Asthma Contr

163 re less sensitive to the value of the excess absenteeism threshold triggering the start of the interv

164 from generalized discomfort and work-related absenteeism to emergency department visits from patients

165 ciation between virtual learning and chronic absenteeism varied by socioeconomic status, with the con

166 erall pooled prevalence of menstrual-related absenteeism was 15.0% (95% CI 12.7-17.3), with prevalenc

167 was 20.5 points; percent reductions in WPAI absenteeism was 34.4%, presenteeism 26.8%, overall work

168 Infection-related absenteeism was also higher in the placebo group than in

169 Work absenteeism was assessed using the number of missed work

170 rial serum samples were collected and school absenteeism was assessed.

171 Absenteeism was calculated as the number of days absent

172 st (13.0 days) and the rate of parental work absenteeism was highest (136 days per 100 children with

173 Menstrual-related absenteeism was less prevalent in women and girls using

174 life or psychological distress; evidence on absenteeism was mixed.

175 School absenteeism was seen in 11.8% of affected children.

176 oxide (FeNO), lung function (FEV1, FVC), and absenteeism were also collected monthly (1,768 visits).

177 ns between each factor and menstrual-related absenteeism were analysed using log-binomial models.

178 The effects of ETS exposure on absenteeism were assessed by using stratified incidence

179 Hospitalization and absenteeism were more prevalent among HCP with high-risk

180 COVER-2 and UNCOVER-3, with the exception of absenteeism with ixekizumab Q4W in UNCOVER-2.

181 Dietitians experienced higher rates of absenteeism with new patient visits (10.00% vs 31.42%, P

182 ed with an increased prevalence of workplace absenteeism, with individuals with AUD contributing over