HRs (95% CIs) for associations between BMF and multiple vascular and non-vascular diseases
Diseases | More than once a day | Once a day | Once every 2 to 3 days | Less than three times a week | P value for trend* |
Vascular diseases | |||||
IHD | |||||
No. of cases | 4668 | 30 470 | 3448 | 1761 | |
Cases/PYs (1/1000) | 10.43 | 8.45 | 7.60 | 8.59 | |
Multivariable adjusted | 1.12 (1.09 to 1.16) | 1.00 | 1.00 (0.96 to 1.03) | 1.07 (1.02 to 1.12) | 0.008 |
MCEs | |||||
No. of cases | 871 | 5960 | 765 | 376 | |
Cases/PYs (1/1000) | 1.88 | 1.61 | 1.64 | 1.78 | |
Multivariable adjusted | 1.03 (0.96 to 1.11) | 1.00 | 1.10 (1.02 to 1.19) | 1.22 (1.10 to 1.36) | 0.002 |
Haemorrhagic stroke | |||||
No. of cases | 1028 | 6856 | 723 | 336 | |
Cases/PYs (1/1000) | 2.22 | 1.85 | 1.56 | 1.60 | |
Multivariable adjusted | 0.97 (0.90 to 1.03) | 1.00 | 0.98 (0.91 to 1.06) | 1.07 (0.95 to 1.19) | 0.256 |
Ischaemic stroke | |||||
No. of cases | 4044 | 28 594 | 3291 | 1650 | |
Cases/PYs (1/1000) | 9.00 | 7.91 | 7.24 | 8.03 | |
Multivariable adjusted | 1.01 (0.98 to 1.05) | 1.00 | 1.04 (1.00 to 1.08) | 1.10 (1.05 to 1.16) | 0.002 |
Heart failure | |||||
No. of cases | 535 | 3068 | 398 | 203 | |
Cases/PYs (1/1000) | 1.16 | 0.83 | 0.86 | 0.96 | |
Multivariable adjusted | 1.33 (1.22 to 1.46) | 1.00 | 0.96 (0.86 to 1.06) | 0.99 (0.86 to 1.15) | <0.001 |
Non-vascular diseases | |||||
COPD | |||||
No. of cases | 1518 | 8167 | 926 | 443 | |
Cases/PYs (1/1000) | 3.63 | 2.37 | 2.14 | 2.29 | |
Multivariable adjusted | 1.28 (1.22 to 1.36) | 1.00 | 0.89 (0.83 to 0.95) | 0.92 (0.84 to 1.02) | <0.001 |
T2DM | |||||
No. of cases | 2207 | 11 514 | 1077 | 483 | |
Cases/PYs (1/1000) | 5.14 | 3.30 | 2.46 | 2.46 | |
Multivariable adjusted | 1.20 (1.15 to 1.26) | 1.00 | 0.86 (0.81 to 0.92) | 0.84 (0.77 to 0.92) | <0.001 |
CKD | |||||
No. of cases | 821 | 4786 | 605 | 314 | |
Cases/PYs (1/1000) | 1.81 | 1.31 | 1.33 | 1.52 | |
Multivariable adjusted | 1.15 (1.07 to 1.24) | 1.00 | 1.07 (0.98 to 1.17) | 1.20 (1.07 to 1.35) | 0.577 |
Cox regression models were stratified by 5 year groups and 10 survey sites, with age as the underlying time scale.
Multivariable models were adjusted for sex (men or women); level of education (no formal school, primary school, middle school, high school, college or university or higher); occupation (agricultural, industrial, administrative or managerial, professional or technical, sales or service, retired, house wife or husband, self-employed, unemployed, other); household income (<2500, 2500 to 4999, 5000 to 9999, 10 000 to 19 999, 20 000 to 34 999, ≥35 000 RMB per year); marital status (married, widowed, divorced or separated or never married); family history of certain diseases (presence, absence or unclear; for corresponding disease only; no adjustment for heart failure, COPD and CKD); smoking status (non-smoker, former smoker, current smoker who smoked <15, 15 to 24 or ≥25 cigarettes or equivalents per day; those who had stopped smoking because of ill health were included in current smokers to avoid bias); total physical activity level (MET-hours/day); alcohol consumption (non-drinker, former weekly drinker, weekly drinker, daily drinker with an intake of <15, 15 to 29, 30 to 59 or ≥60 g/day of pure alcohol); intake frequency of fresh vegetables, fresh fruit and red meat (daily, 4 to 6 days/week, 1 to 3 days/week, monthly or rarely or never); BMI (kg/m2); waist circumference (cm); prevalent hypertension and diabetes at baseline (presence or absence, no adjustment for T2DM).
*Assessed by assigning consecutive integers to four BMF categories in a separate model. A Bonferroni corrected threshold was used, α=0.00625.
BMF, bowel movement frequency;BMI, body mass index; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; IHD, ischaemic heart disease; MCEs, major coronary events;PYs, person-years; T2DM, type 2 diabetes mellitus.