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. 2022 Apr 7;8(4):e36022. doi: 10.2196/36022

Table 1.

Regional male mortality statistics: comparison of ordinary least squares (OLS) linear regression predicted mortality (predicted value) and observed mortality of 2020 (observed value) in Italy. The data are normalized to 10,000 people (deaths per 10,000).

Italian region Predicted value Predicted value SE Observed value Excess, % (SE) P valuea Adjusted P valuea
Italy 102.1 4.6 120.9 18.4 (5.4) <.001 .006
Piemonte 105.7 5.2 132.3 25.1 (6.2) <.001 <.001
Valle d’Aosta 114.4 11.3 136.3 19.1 (12.3) .02 .40
Lombardia 98.5 4.1 136.2 38.3 (5.8) <.001 <.001
Bolzano 93.6 4.9 110 17.5 (6.2) .001 .02
Trento 90.7 4.7 121 33.4 (7) <.001 <.001
Veneto 97.2 3.7 114.7 18 (4.5) <.001 .002
Friuli Venezia Giulia 99.6 5.9 116.3 16.8 (7) .002 .06
Liguria 103.4 5.6 126.5 22.3 (6.7) <.001 .006
Emilia-Romagna 97.5 4.5 116.1 19.1 (5.6) <.001 .006
Toscana 97.2 6 108.5 11.6 (7) .03 .43
Umbria 94.5 6.3 105.4 11.5 (7.6) .04 .62
Marche 96.3 5.4 111.1 15.3 (6.6) .003 .07
Lazio 100.1 5.2 110.1 10 (5.7) .02 .42
Abruzzo 101.9 4.5 114.6 12.5 (5) .002 .06
Molise 107.3 7.2 113.8 6 (7.2) .50 .99
Campania 116.1 5.5 129.9 11.9 (5.4) .005 .12
Puglia 100.1 5.8 115.6 15.5 (6.7) .003 .08
Basilicata 107.2 6.1 112.9 5.3 (6) .40 .99
Calabria 106.5 6.1 113.9 6.9 (6.2) .20 .99
Sicilia 112.7 7.2 122.9 9.1 (7) .10 .99
Sardegna 101.2 5.3 113.7 12.3 (5.9) .007 .16

aGrubbs test.