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International Journal of
            Population Studies                                   School dropouts and mental health among Indian adolescents




            Table 4. Factors at follow‑up associated with mental health among adolescent girls (aged 23–28 years) in Bihar, India, 2016
            Background characteristics measured   Mental health status (%)   N   Results from ordered logistic regression #
            at follow up                Good   Moderate   Poor  Level of significance ##  2,360  AOR (95% CI)
            (at age 23–28 years)
            School attendance
             Never attended            50.1    43.2   6.7        ***       1,170            1.00
             Dropout before completing 12 class   56.5  37.5  6.0           1,023        0.77 (0.62,0.94)**
             Completed or continuing    60.1    34.6   5.3                  167          0.55 (0.39,0.79)***
            Age
             23–24                     53.0    40.0   7.0                  1,311            1.00
             25–26                      56.0    38.3   5.7                  727           0.96 (0.80,1.15)
             27–28                      53.3    42.2   4.4                  322           0.83 (0.65,1.07)
            Place of residence
             Urban                     56.2    39.6   4.2                  333              1.00
             Rural                      53.6    39.8   6.6                  2,027         0.95 (0.78,1.15)
            Wealth status
             Poor Quin                 54.0    40.4   5.6                  780              1.00
             Middle Quin                54.6    38.7   6.7                  1,061         1.06 (0.85,1.30)
             Rich Quin                  52.5    41.1   6.4                  519           1.10 (0.84,1.43)
            Spousal education
             No education              55.2    38.2   6.6        ***       547              1.00
             Primary                    56.8    37.7   5.5                  597           1.06 (0.82,1.36)
             Secondary and above        54.5    40.1   5.4                  938           1.18 (0.91,1.53)
             DK                         30.7    55     14.2                 122          3.05 (2.05,4.53)***
             Unmarried                  54.0    39.2   6.8                  155          1.44 (0.99,2.08)*
            Working status
             Yes                       53.1    39.5   7.4        **        954              1.00
             No                         54.6    39.9   5.5                  1,406         0.92 (0.77,1.11)
            Self-efficacy
             High                      56.3    38.3   5.5        ***       2,010            1.00
             Low                        40.6    48.5   10.9                 350          1.79 (1.42,2.26)***
            Decision making
             Others                    51.2    41.6   7.2        *         1,045            1.00
             Alone                      56.2    38.3   5.6                  1,315         0.86 (0.73,1.02)
            Total                       54.0    39.8   6.3                  2,360
            # Based on multivariate ordinal logistic regression models by controlling background characteristics such religion, caste, father’s working status and
                                                                            ##
                                    
            parents survival status from baseline;  : reference category; CI: confidence interval; DK: don’t know;  based on Chi-square test; ***P < 0.01; **P < 0.05;
            *P < 0.10.
            of  women  whose  mothers  were  educated  as  compared   had a high risk (AOR: 1.79, 95% CI: 1.42, 2.26) to face poor
            to  women  whose  mothers  were  uneducated  (Table  2).   mental health in early adulthood (Table 4).
            Husbands’ education was positively related to the good
            mental health status of women. Young women who were   4. Discussion
            more than 6 years younger to husband had poor mental   Using data from the UDAYA study consisting of a 2360
            health as compared to those who had almost 3–6 years of   adolescent (ages 15 – 19) girl cohort interviewed in 2007
            spousal age gap (Table 3). However, self-efficacy of young   and reinterviewed at ages 23–28 in 2016 from the state of
            women is an important factor that improves their mental   Bihar, India, this study examined the effect of life-course
            health status. As compared to high self-efficacy girls, others   events such as school dropouts, early marriages, and


            Volume 8 Issue 1 (2022)                         32                    https://doi.org/10.36922/ijps.v8i1.1280
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