Table 1 Results of multivariate binary... | Emerald Publishing

Table 1

Results of multivariate binary logistic regression predicting depression and anxiety symptoms by region

	Whole sample	Nordic	Baltic	Whole sample	Nordic	Baltic
	OR [95%CI]			OR [95%CI]
Independent variables	Outcome: depression symptoms			Outcome: anxiety symptoms
Internalized ageism (0 = no, 1 = yes)	1,79*** [1,43; 2,25]	1,95* [1,12; 3,39]	1,73*** [1,34; 2,22]	1,74*** [1,39; 2,17]	1,63 [0,95; 2,81]	1,74*** [1,36; 2,22]
Internet use (0 = no, 1 = yes)	0,85** [0,74; 0,96]	0,98 [0,77; 1,24]	0,82* [0,70; 0,96]	0,99 [0,87; 1,12]	1,16 [0,93; 1,46]	0,89 [0,76; 1,04]
Age	1,00 [1,00; 1,01]	1,00 [0,98; 1,01]	1,01 [1,00; 1,02]	0,99** [0,98; 1,00]	0,99 [0,97; 1,00]	0,99* [0,98; 1,00]
Gender (0 = male, 1 = female)	1,55*** [1,37; 1,76]	1,61*** [1,30; 1,98]	1,50*** [1,28; 1,76]	1,73*** [1,54; 1,96]	1,91*** [1,58; 2,32]	1,64*** [1,41; 1,92]
Employment status (0 = unemployed,1 = employed)	0,89 [0,72; 1,12]	0,63 [0,37; 1,08]	0,97 [0,75; 1,25]	0,99 [0,81; 1,21]	0,81 [0,53; 1,25]	1,14 [0,90; 1,44]
Has partner in HH (0 = no, 1 = yes)	0,74*** [0,65; 0,83]	0,66*** [0,53; 0,82]	0,77** [0,66; 0,90]	1,06 [0,94; 1,20]	1,02 [0,83; 1,25]	1,04 [0,90; 1,21]
Self-rated health
Poor vs. very good/excellent	10,97*** [8,51; 14,14]	8,67*** [5,73; 13,12]	9,23*** [5,42; 15,71]	8,64*** [6,82; 10,94]	7,72*** [5,16; 11,55]	6,41*** [4,00; 10,29]
Fair vs. very good/excellent	4,15*** [3,35; 5,15]	3,77*** [2,84; 5,00]	3,43*** [2,06; 5,70]	3,69*** [3,04; 4,48]	4,55*** [3,51; 5,89]	2,55*** [1,63; 3,99]
Good vs. very good/excellent	1,79*** [1,43; 2,26]	2,05*** [1,56; 2,70]	1,31 [0,77; 2,22]	1,96*** [1,60; 2,40]	2,39*** [1,87; 3,05]	1,23 [0,78; 1,95]
Hosmer-Lemeshow χ² (df;p)	4,69 (8; 0,79)	1,43 (8; 0,99)	6,10 (8; 0,64)	4,26 (8; 0,83)	9,47 (8; 0,30)	7,40 (8; 0,49)
Model χ² (df)	999,52*** (9)	233,75*** (9)	553,827*** (9)	668,06*** (9)	243,59*** (9)	3,54,63*** (9)
Nagelkerke R²	0,19	0,13	0,17	0,13	0,13	0,11
Correctly predicted presense of symptoms	25,50%	8,50%	32,60%	20,20%	7,80%	26,40%
Correctly predicted absense of symptoms	94,10%	98,50%	90,00%	94,00%	98,10%	90,40%
Overall correct predictions	74,10%	81,20%	69,40%	71,10%	76,00%	67,80%

	Whole sample	Nordic	Baltic	Whole sample	Nordic	Baltic
	OR [95%CI]			OR [95%CI]
Independent variables	Outcome: depression symptoms			Outcome: anxiety symptoms
Internalized ageism (0 = no, 1 = yes)	1,79*** [1,43; 2,25]	1,95* [1,12; 3,39]	1,73*** [1,34; 2,22]	1,74*** [1,39; 2,17]	1,63 [0,95; 2,81]	1,74*** [1,36; 2,22]
Internet use (0 = no, 1 = yes)	0,85** [0,74; 0,96]	0,98 [0,77; 1,24]	0,82* [0,70; 0,96]	0,99 [0,87; 1,12]	1,16 [0,93; 1,46]	0,89 [0,76; 1,04]
Age	1,00 [1,00; 1,01]	1,00 [0,98; 1,01]	1,01 [1,00; 1,02]	0,99** [0,98; 1,00]	0,99 [0,97; 1,00]	0,99* [0,98; 1,00]
Gender (0 = male, 1 = female)	1,55*** [1,37; 1,76]	1,61*** [1,30; 1,98]	1,50*** [1,28; 1,76]	1,73*** [1,54; 1,96]	1,91*** [1,58; 2,32]	1,64*** [1,41; 1,92]
Employment status (0 = unemployed,1 = employed)	0,89 [0,72; 1,12]	0,63 [0,37; 1,08]	0,97 [0,75; 1,25]	0,99 [0,81; 1,21]	0,81 [0,53; 1,25]	1,14 [0,90; 1,44]
Has partner in HH (0 = no, 1 = yes)	0,74*** [0,65; 0,83]	0,66*** [0,53; 0,82]	0,77** [0,66; 0,90]	1,06 [0,94; 1,20]	1,02 [0,83; 1,25]	1,04 [0,90; 1,21]
Self-rated health
Poor vs. very good/excellent	10,97*** [8,51; 14,14]	8,67*** [5,73; 13,12]	9,23*** [5,42; 15,71]	8,64*** [6,82; 10,94]	7,72*** [5,16; 11,55]	6,41*** [4,00; 10,29]
Fair vs. very good/excellent	4,15*** [3,35; 5,15]	3,77*** [2,84; 5,00]	3,43*** [2,06; 5,70]	3,69*** [3,04; 4,48]	4,55*** [3,51; 5,89]	2,55*** [1,63; 3,99]
Good vs. very good/excellent	1,79*** [1,43; 2,26]	2,05*** [1,56; 2,70]	1,31 [0,77; 2,22]	1,96*** [1,60; 2,40]	2,39*** [1,87; 3,05]	1,23 [0,78; 1,95]
Hosmer-Lemeshow χ² (df;p)	4,69 (8; 0,79)	1,43 (8; 0,99)	6,10 (8; 0,64)	4,26 (8; 0,83)	9,47 (8; 0,30)	7,40 (8; 0,49)
Model χ² (df)	999,52*** (9)	233,75*** (9)	553,827*** (9)	668,06*** (9)	243,59*** (9)	3,54,63*** (9)
Nagelkerke R²	0,19	0,13	0,17	0,13	0,13	0,11
Correctly predicted presense of symptoms	25,50%	8,50%	32,60%	20,20%	7,80%	26,40%
Correctly predicted absense of symptoms	94,10%	98,50%	90,00%	94,00%	98,10%	90,40%
Overall correct predictions	74,10%	81,20%	69,40%	71,10%	76,00%	67,80%

Note(s):

*p < 0,050, **p < 0,010, ***p < 0,001

Source(s): Author’s own work