Skip to main content

Table 6 Longitudinal mediations

From: Associations between new health conditions and healthcare service utilizations among older adults in the United Kingdom: effects of COVID-19 risks, worse financial situation, and lowered income

 

Treatment cancellation

 

Accessible care

Effect

SE

p

LLCI

ULCI

 

Effect

SE

p

LLCI

ULCI

Tcn2-Tcn1

     

Acr2- Acr1

     

‘X’

−.0451

.0085

.0000

−.0618

−.0284

‘X’

.3687

.0172

.0000

.3350

.4025

Csk1-Csk2

     

Csk1-Csk2

     

‘X’

.0592

.0118

.0000

.0361

.0824

‘X’

.0676

.0195

.0005

.0294

.1058

CFn1-CFn2

     

CFn1-CFn2

     

‘X’

.0145

.0143

.3132

−.0137

.0426

‘X’

.0105

.0235

.6536

−.0355

.0566

CIn1-CIn2

     

CIn1-CIn2

     

‘X’

−.0351

.0088

.0001

−.0523

−.0179

‘X’

−.0369

.0143

.0102

−.0650

−.0087

 

coeff

SE

p

LLCI

ULCI

 

coeff

SE

p

LLCI

ULCI

‘X’

−.0460

.0086

.0000

−.0629

−.0292

‘X’

.3701

.0173

.0000

.3362

.4041

M1diff

.0211

.0134

.1171

−.0053

.0474

M1diff

−.0025

.0263

.9237

−.0540

.0490

M2diff

.0009

.0113

.9363

−.0213

.0231

M2diff

.0631

.0225

.0051

.0190

.1072

M3diff

.0096

.0185

.6031

−.0266

.0459

M3diff

.0513

.0369

.1648

−.0211

.1237

M1avg

.0250

.0191

.1915

−.0125

.0626

M1avg

.0281

.0379

.4583

−.0462

.1025

M2avg

.0184

.0152

.2245

−.0113

.0482

M2avg

.0314

.0307

.3069

−.0289

.0917

M3avg

−.0058

.0255

.8207

−.0557

.0442

M3avg

−.0020

.0519

.9690

−.1038

.0998

Total effect of X on Y

Total effect of X on Y

 

Effect

SE

p

LLCI

ULCI

 

Effect

SE

p

LLCI

ULCI

 

−.0451

.0085

.0000

−.0618

−.0284

 

.3687

.0172

.0000

.3350

.4025

Direct effect of X on Y

Direct effect of X on Y

 

Effect

SE

p

LLCI

ULCI

 

Effect

SE

p

LLCI

ULCI

 

−.0460

.0086

.0000

−.0629

−.0292

 

.3701

.0173

.0000

.3362

.4041

Indirect Effect of X on Y through M

Indirect Effect of X on Y through M

  

Effect

BootSE

BootLLCI

BootULCI

  

Effect

BootSE

BootLLCI

BootULCI

 

Ind11

.0012

.0008

−.0002

.0031

 

Ind12

−.0002

.0018

−.0037

.0036

 

Ind21

.0000

.0002

−.0004

.0006

 

Ind22

.0007

.0016

−.0021

.0044

 

Ind31

−.0003

.0007

−.0017

.0010

 

Ind32

−.0019

.0016

−.0063

.0003

 

Total

.0009

.0011

−.0011

.0032

 

Total

−.0014

.0028

−.0071

.0041

R-sq

.0024

     

.0088

    

N

2903

     

1139

    
  1. Tcn1 treatment cancellation in wave 1, Tcn2 treatment cancellation in wave 2, Acr1 accessible care in wave 1, Acr2 accessible care in wave 2, Csk1 COVID-19 risks in wave 1, Csk2 COVID-19 risks in wave 2, CFn1 worse financial situation in wave 1, CFn2 worse financial situation in wave 2, CIn1 lowered income in wave 1, CIn2 lowered income in wave 2
  2. Ydiff1 = Tcn2- Tcn1, Ydiff2 = Acr2-Acr1, M1diff = Csk2-Csk1, M2diff = CFn2-CFn1, M3diff = CInc2-CInc1, M1avg = (Cvrisk2 + Crisk1)/2, M2avg = (CFn2 + CFn1)/2, M3avg = (CInc2 + CInc1)/2, Ind11 = ‘X’- > M1diff- > Ydiff1, Ind21 = ‘X’- > M2diff- > Ydiff1, Ind31 = ‘X’- > M3diff- > Ydiff1, Ind12 = ‘X’- > M1diff- > Ydiff2, Ind22 = ‘X’- > M2diff- > Ydiff2, Ind32 = ‘X’- > M3diff- > Ydiff2. LLCI = low limit confidence interval. ULCI = upper limit confidence interval