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. 2019 Dec 20;35(6):557–565. doi: 10.1007/s10654-019-00592-5

Table 1.

Characteristics of study population stratified by cancer diagnosis

Characteristic Participants without cancer (N = 11,326) Participants with cancer (N = 2698)
Pathology-confirmed diagnosis (N = 2382) Non pathology-confirmed diagnosis (N = 316) P value*
Age, years, median (IQR) 62.4 (57.7–72.7) 65.0 (60.2–72.0) 72.0 (66.1–78.1) < .001
Sex, women, no. (%) 6912 (61.0) 1135 (47.6) 176 (55.7) .007
Marital status, no. (%) < .001
 Living with partner 7418 (65.5) 1723 (72.3) 181 (57.3)
 Living without partner 3036 (26.8) 597 (25.1) 118 (37.3)
Educational level, no. (%) .002
 Primary 2081 (18.4) 423 (17.8) 76 (24.1)
 Lower 4393 (38.8) 948 (39.8) 131 (41.5)
 Intermediate 2886 (25.5) 700 (29.4) 82 (25.9)
 Higher 1718 (15.2) 283 (11.9) 20 (6.3)
Body mass index, kg/m2, mean (SD) 26.9 (4.2) 26.7 (3.8) 26.3 (3.7) .137
Smoking, no. (%) .001
 Current 2313 (20.4) 608 (25.5) 90 (28.5)
 Former 4950 (43.7) 1106 (46.4) 109 (34.5)
 Never 3838 (33.9) 629 (26.4) 104 (32.9)
Alcohol use, no. (%) 7843 (69.2) 1683 (70.7) 188 (59.5) .287
Age at cancer diagnosis, years, no. (%)
 45–65 372 (15.6) 8 (2.5)
 65–75 897 (37.7) 42 (13.3)
 75–85 870 (36.5) 136 (43.0)
 > 85 243 (10.2) 130 (41.1)
Median (IQR) 74.2 (68.0–80.3) 83.2 (78.0–88.0) < .001
Comorbidities at cancer diagnosis, no. (%)
 Stroke 164 (6.9) 38 (12.0) .001
 Coronary heart disease 302 (12.7) 50 (15.8) < .001
 Hypertension 1186 (49.8) 227 (71.8) < .001
 Diabetes 324 (13.6) 37 (11.7) < .001
 Chronic obstructive pulmonary disease 326 (13.7) 60 (19.0) .011
 Neurodegenerative disease 353 (14.8) 44 (30.4) < .001

Characteristics are measured at entry in the Rotterdam Study except for age at cancer diagnosis and comorbidities. Missing values are not imputed and therefore numbers do not always sum up to 100%

IQR interquartile range, N number of participants, SD standard deviation

*Two sided P values were calculated using the independent samples t-test (for continuous variables with a normal distribution), the Wilcoxon signed-rank test (for continuous variables with a skewed distribution), or the Chi squared test (for categorical variables) to investigate differences in characteristics between participants with pathology-confirmed diagnoses and participants with non pathology-confirmed diagnoses