Table 2 The association of metereological parameters with admissions for hypertensive disease in a quasi Poisson model adjusted for seasonality and long term trends with spline.

From: Impact of weather changes on hospital admissions for hypertension

  

RR

2.5% CI

97.5% CI

p

Tmean

Per 5 °C incr

0.974

0.946

1.003

0.080

Δd2Tmean

Per 5 °C incr

0.978

0.937

1.022

0.328

Δd3Tmean

Per 5 °C incr

1.006

0.976

1.037

0.690

Tmax

Per 5 °C incr

0.971

0.947

0.995

0.019

Δd2Tmax

Per 5 °C incr

0.986

0.955

1.018

0.395

Δd3Tmax

Per 5 °C incr

1.002

0.979

1.027

0.851

Tmin

Per 5 °C decr

1.010

0.983

1.037

0.490

Δd2Tmin

Per 5 °C incr

0.993

0.962

1.026

0.685

Δd3Tmin

Per 5 °C incr

1.006

0.982

1.030

0.622

Trange

Per 5 °C incr

0.976

0.950

1.002

0.066

Trange_max_a

Per 5 °C incr

0.984

0.958

1.011

0.246

Trange_max_b

Per 5 °C incr

0.978

0.955

1.001

0.057

R

Per 1 mm incr

1.001

0.997

1.005

0.646

Δd2R

Per 1 mm incr

0.998

0.995

1.002

0.351

Δd3R

Per 1 mm incr

0.998

0.995

1.001

0.188

P

Per 10 hPa incr

0.987

0.964

1.011

0.284

Δd2P

Per 10 hPa incr

1.012

0.977

1.048

0.495

Δd3P

Per 10 hPa incr

1.013

0.990

1.036

0.280

  1. p < 0.05 was regarded significant (bold type).
  2. T—temperature, R—rainfall (precipitation), P—athmospheric pressure; Δd2—change within two days, Δd3—change within three days, Trange: daily range of temperature, Trange_max: maximum temperature range within two days (Trange_max_a = Tmax_yesterday − Tmin_today), Trange_max_b = Tmax_today − Tmin_yesterday), inc—increase, decr—decrease, pp value, RR—relative risk, CI—confidence interval.