Table 3 Results of binary logistic regression models for past experience of heatstroke symptoms displaying odds ratios (OR) along with p-values and 95% confidence intervals (CI).

From: Survey reveals heatstroke awareness and prevention in Fukuoka City, Japan

Variables

Model I

Model II

Model III

OR

95% CI

OR

95% CI

OR

95% CI

Intercept

2.223

[0.730, 6.772]

2.511

[0.772, 8.162]

6.707*

[1.448, 31.064]

Knowledge on HS symptoms

Less to no information (RC)

Moderate to well-known

-

1.330

-

[0.838, 2.108]

-

1.210

-

[0.758, 1.929]

-

1.144

-

[0.710, 1.843]

HS preventive measures

Less prevention

Moderate prevention (RC)

High prevention

1.016

-

0.662*

[0.547, 1.888]

-

[0.484, 0.904]

0.964

-

0.735

[0.516, 1.800]

-

[0.533, 1.013]

0.824

-

0.852

[0.433, 1.569]

-

[0.608, 1.195]

Checking weather forecasts

No (RC)

Yes

-

1.667

-

[0.574, 4.838]

-

1.895

-

[0.637, 5.632]

-

2.449

-

[0.811, 7.390]

Occupation

Employed (RC)

Unemployed

Students

  

-

0.549***

2.728*

-

[0.402, 0.749]

[1.070, 6.957]

-

0.850

0.986

-

[0.594, 1.218]

[0.315, 3.086]

Type of living house

Owned house (RC)

Others

  

-

0.900

-

[0.653, 1.250]

-

0.790

-

[0.567, 1.101]

Year of survey

2020 (RC)

2022

    

-

0.964

-

[0.711, 1.307]

Age-sex composite variable

Young males (RC)

Young females

Middle-aged males

Middle-aged females

Old males

Old females

    

-

0.888

0.392

0.286*

0.233**

0.139***

-

[0.281, 2.799]

[0.142, 1.077]

[0.104, 0.790]

[0.081, 0.668]

[0.049, 0.396]

  1. RC: Reference category; ***: p < 0.001, **: p < 0.01, *: p < 0.05. Model I includes awareness-related variables. Model II adds socio-economic variables. Model III is the full model including all covariates.