Table 5 Results of ordinal logistic regression models for heatstroke preventive measures displaying estimated coefficients (\(\:\widehat{\beta\:}\)) along with p-values, standard errors (SE) and odds ratios (OR) along with their 95% confidence intervals (CI).

Threshold

Less | Moderate + High prevention

0.537

0.589

-

-

Low + Moderate | High prevention

3.128

0.598

-

-

Variables

\(\:\widehat{\beta\:}\)

SE

OR

95% CI

Past experience of HS

Not experienced (RC)

Experienced

-

-0.119

-

0.161

-

0.888

-

[0.648, 1.218]

Knowledge on HS symptoms

Less to no information (RC)

Moderate to well-known

-

0.938***

-

0.204

-

2.556

-

[1.715, 3.809]

Checking weather forecasts

No (RC)

Yes

-

0.888

0.483

-

2.429

-

[0.942, 6.263]

Occupation

Employed (RC)

Unemployed

Students

-

0.477**

0.663*

-

0.175

0.316

-

1.611

1.941

-

[1.143, 2.272]

[1.045, 3.605]

Type of living house

Owned house (RC)

Others

-

-0.128

-

0.143

-

0.880

-

[0.665, 1.163]

Age-sex composite variable

Young males (RC)

Young females

Middle-aged males

Middle-aged females

Old males

Old females

-

0.591

0.620*

1.680***

1.105**

1.954***

-

0.307

0.279

0.290

0.323

0.330

-

1.806

1.859

5.366

3.020

7.054

-

[0.989, 3.296]

[1.077, 3.210]

[3.040, 9.473]

[1.604, 5.684]

[3.697, 13.461]

Year of survey

2020 (RC)

2022

-

1.033***

-

0.128

-

2.808

-

[2.187, 3.606]