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Risk factors for cesarean section

           Table 2. Antenatal complications and its association with cases and controls among selected wards in urban Puducherry, n=140.
           Complications            Total,         Cases,       Controls,       Unadjusted odds     P‑value*
                                    n (%)          n (%)          n (%)         ratio (95% CI)
           Gestational diabetes mellitus
             Yes                   13 (9.3)       10 (14.3)      3 (4.3)         3.7 (1.1–14.2)      0.04 †
             No                   127 (90.7)      60 (85.7)      67 (95.7)           1
           Gestational hypertension
             Yes                   13 (9.3)       9 (12.9)       4 (5.7)         2.4 (0.7–8.3)        0.14
             No                   127 (90.7)      61 (87.1)      66 (94.3)           1
           Cardiovascular diseases
             Yes                   3 (2.1)         2 (2.9)       1 (1.4)          2 (0.2–22.9)         1
             No                   137 (97.9)      68 (97.1)      69 (98.6)           1
           Previous LSCS ‡
             Yes                   22 (15.7)       21 (30)       1 (1.4)        29.5 (3.8–227.2)     <0.001 †
             No                   118 (84.3)       49 (70)       69 (98.6)           1
           Elderly gravida
             Yes                   6 (4.3)         5 (7.1)       1 (1.4)         5.3 (0.6–46.6)       0.2
             No                   134 (95.7)      65 (92.9)      69 (98.6)           1
           Anemia
             Yes                   24 (17.1)      13 (18.6)      11 (5.7)        1.2 (0.5–2.9)        0.8
             No                   116 (82.1)      57 (81.4)      59 (84.3)           1
           Malpresentation
             Yes                   11 (7.9)       9 (12.9)       2 (2.9)          5 (1.0–24.1)       0.02 †
             No                   129 (92.1)      61 (87.1)      68 (97.1)           1
           *Binary logistic regression, †statistically significant, ‡lower segment cesarean section

           Table 3. Multivariable logistic regression analysis for factors associated with the cases and controls among selected wards in urban
           Puducherry, n=140.
           Characteristics                            Adjusted odds ratio (95% CI)                 P‑value
           Gestational diabetes mellitus                    3.3 (0.7–15.3)                           0.16
           Gestational hypertension                         1.98 (0.4–9.3)                           0.38
           Previous LSCS                                   45.42 (4.3–483.6)                        0.002*
           Malpresentation                                 11.02 (1.6–73.8)                         0.01*
           Elderly gravida                                  6.3 (0.5–75.7)                           0.15
           Lower-middle class                               1.36 (0.4–4.3)                           0.59
           Middle class                                     3.3 (1.0–10.8)                          0.05*
           Upper-middle class                                2.2 (0.7–7.1)                           0.18
           Upper class                                     23.55 (1.2–463.8)                        0.03*
           Delivery in private hospital                     1.81 (0.7–4.7)                           0.22
           *Statistically significant, †lower segment cesarean section
             Our study showed that the socioeconomic status and delivery in a private institution had higher proportions of CS. A wide
           range of literature from different parts of the world has well established the relationship between the place of delivery and the
           risk of CS (Gibbons et al., 2010; Witt et al., 2015). The proportion of CS in a private sector was found to be almost 1.5 times
           more than the rate of vaginal deliveries (18.5% and 31.4%, respectively), though not statistically significant. This proportion
           was lesser than Puducherry data according to NFHS but quite similar to the national level figures (Matkar, 2017; Srivastava
           et al., 2020). We also found that higher socioeconomic status was a risk factor. Various studies done in Latin America,


           70                                              International Journal of Population Studies | 2021, Volume 7, Issue 1
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