Skip to main content
. 2023 Oct 3;11(11):e1775–e1784. doi: 10.1016/S2214-109X(23)00416-3

Table 4.

Associations between self-rated physical health and heavy menstrual bleeding, in the pooled sample and by city

Unadjusted
Adjusted
n OR (95% CI) p value n OR (95% CI) p value
Total 4828 1·21 (1·09–1·34) <0·0001 4491 1·27 (1·08–1·51) 0·005
Dakar 328 0·45 (0·31–0·67) <0·0001 237 0·43 (0·27–0·67) <0·0001
Kampala 411 1·19 (0·86–1·64) 0·29 405 1·23 (0·90–1·68) 0·19
Kathmandu 419 1·20 (0·63–2·28) 0·58 419 1·00 (0·59–1·69) 1·00
Lusaka 436 1·80 (1·42–2·28) <0·0001 421 1·80 (1·45–2·23) <0·0001
Meherpur 547 1·72 (1·28–2·32) <0·0001 531 1·56 (1·16–2·09) 0·003
Nairobi 604 0·90 (0·56–1·47) 0·69 603 0·90 (0·54–1·51) 0·69
Narsapur 459 1·96 (1·36–2·81) <0·0001 387 1·88 (1·21–2·93) 0·005
Saidpur 599 1·41 (1·09–1·83) 0·023 565 1·67 (1·23–2·25) 0·001
Tiruchirappalli 458 1·52 (1·00–2·31) 0·052 440 1·64 (1·14–2·36) 0·008
Warangal 554 1·58 (0·92–2·73) 0·098 483 1·70 (0·90–3·21) 0·10

Unadjusted and adjusted ordered logistic regression models controlled for clustering; adjusted models additionally controlled for age, highest level of completed schooling, and type of menstrual material used most often. The reference category was individuals who did not experience heavy menstrual bleeding. OR=odds ratio.