Table 5 Multivariate logistic regression analysis of variables influencing the potential profiles of FoP.

From: Latent profile analysis of fear of progression in Chinese hematologic malignancy survivors

Group comparison

Variables

β

Standard error

P value

OR

95% CI

Moderate-risk fear group for low-risk fear group

Intercept

0.254

0.697

0.715

1.290

0.329–5.054

Female vs. male

0.946

0.272

<0.01

2.577

1.511–4.396

Age (years)

“35 ~ 65” vs. “< 35”

0.520

0.373

0.163

1.681

0.809–3.491

“> 65” vs. “< 35”

1.421

0.726

0.05

4.140

0.996–17.187

Marital status

Married vs. single status

− 0.039

0.382

0.918

0.962

0.454–2.034

Education

High school or vocational school vs. Junior high school and lower

− 0.596

0.418

0.154

0.551

0.242–1.250

Academic degree and higher vs. Junior high school and lower

− 1.008

0.412

0.014

0.365

0.162–0.818

Monthly per capita household income (CNY, yuan)

“3000 ~ 5000” vs. “< 3000”

− 0.739

0.328

0.024

0.477

0.251–0.908

“> 5000” vs. “< 3000”

− 0.597

0.377

0.113

0.550

0.262–1.152

Employment status

Unemployed vs. full time job

0.036

0.362

0.920

1.037

0.509–2.109

Others vs. full time job

0.142

0.292

0.717

1.153

0.534–2.484

Diagnosis

Lymphoma vs. leukemia

0.281

0.308

0.362

1.324

0.724–2.419

MDS vs. leukemia

− 0.049

0.525

0.926

0.952

0.340–2.665

Multiple myeloma vs. leukemia

0.145

0.904

0.872

1.156

0.196–6.802

High-risk fear group for low-risk fear group

Intercept

− 1.070

0.849

0.207

0.343

0.064–1.808

Female vs. male

0.830

0.323

0.010

2.295

1.217–4.323

Age

“35 ~ 65” vs. “< 35”

0.772

0.484

0.111

2.163

0.837–5.585

“> 65” vs. “< 35”

2.237

0.792

0.005

9.363

1.981–44.252

Marital status

Married vs. single status

0.226

0.491

0.645

1.254

0.479–3.278

Education

High school or vocational school vs. Junior high school and lower

− 0.687

0.467

0.141

0.503

0.201–1.254

Academic degree and higher vs. Junior high school and lower

− 1.311

0.482

0.007

0.270

0.104–0.693

Monthly per capita household income (CNY, yuan)

“3000 ~ 5000” vs. “< 3000”

− 0.894

0.391

0.022

0.409

0.190–0.879

“> 5000” vs. “< 3000”

− 0.941

0.471

0.046

0.390

0.154–0.983

Employment status

Unemployed vs. full time job

0.227

0.449

0.613

1.255

0.520–3.025

Others vs. full time job

0.152

0.497

0.760

1.634

0.439–3.079

Diagnosis

Lymphoma vs. leukemia

0.831

0.366

0.023

2.295

1.120–4.797

MDS vs. leukemia

0.889

0.553

0.108

2.432

0.822–7.188

Multiple myeloma vs. leukemia

1.205

0.973

0.216

3.337

0.495–22.484