Table 3

Multivariately analyzed correlation between FSSG scores and 17 background factors among 371 PPI users.

Factors

Regression coefficient

P-value

Standardized regression coefficient (β)


Gender (female)

3.028

0.0003 *

0.1978

Inadequate sleep

2.211

0.0027 *

0.1500

Frequent lack of breakfast

3.414

0.0034 *

0.1460

Use of antihypertensive drugs

-2.043

0.0154 *

-0.1343

Dinner just before bedtime

2.130

0.0138 *

0.1293

History of cerebrovascular disease

-3.099

0.0863

-0.0833

Age

-0.059

0.1521

-0.0788

Use of antihyperlipidemic agents

-1.135

0.1683

-0.0707

Use of antihyperglycemic agents

-1.598

0.2357

-0.0576

Habit of midnight snack

0.658

0.5204

0.0324

Use of NSAIDs

-0.750

0.5268

-0.0310

Use of anticoagulants

-0.572

0.6108

-0.0279

Lack of habitual physical exercise

0.327

0.6758

0.0202

Habit of smoking

-0.333

0.7385

-0.0169

Habit of alcohol drinking

0.262

0.7477

0.0167

Use of other digestive drugs

-0.255

0.7515

-0.0156

BMI

0.013

0.9032

0.0063


BMI, body mass index; NSAIDs, non-steroidal anti-inflammatory drugs; PPIs, proton pump inhibitors. Multiple regression analysis was performed focusing on the 17 background factors, comprised of two continuous variables (age and BMI) and other 15 categorical variables. The level of significance in each factor was set at P-value < 0.05 (*). All the 17 background factors were sorted in order of absolute values of standardized regression coefficients (β).

Yamamichi et al. BMC Medicine 2012 10:45   doi:10.1186/1741-7015-10-45

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