Page 50 - IJPS-11-3
P. 50

International Journal of
            Population Studies                                                 Early marriage and birth in Bengali women



            proportion of women giving birth before the age of 18   states share similar socioeconomic characteristics, with
            declined from 28% to 22% between 1993 and 2006 (Moore   a large proportion of their population comprising native
            et al., 2009). Nevertheless, in 2019 – 2021, 7% of women   Bengali speakers.
            aged 15 – 19 had already begun childbearing, marking
            only a 1% decline compared with 2015 – 2016 (IIPS & ICF,   2.2. Outcome variables
            2022). Among the states, higher levels of teenage pregnancy   The outcome variables were (1) early marriage, defined
            were observed in Tripura (22%), West Bengal (16%), and   as the percentage of women married before the age of 18,
            Assam (12%). West Bengal has the country’s highest   and (2) early marriage and childbearing, defined as the
            incidence of child marriage and teenage pregnancy, with   percentage of women married before the age of 18 who had
            Tripura ranking second. Meanwhile, Assam ranks fourth   begun childbearing (they had either given birth or were
            in teenage pregnancy (IIPS & ICF, 2022).           pregnant at the time of the survey) before the age of 19.
              The states of Assam, Tripura, and West Bengal share   2.3. Predicting variables
            a commonality: A significant portion of their population
            speaks Bengali. With 272.2 million native speakers,   The main predictor variable was women’s culture, which
            Bengali is the seventh most spoken language in the world   was measured using their native language (Bengali or non-
            (STATISTA, 2022), and it is primarily spoken in Bangladesh   Bengali). The native language was considered a proxy for
            and the aforementioned Indian states. According to the   broader  social  and  cultural  norms.  Studies  from  India,
            2011 Indian Census, 87% of West Bengal’s population   Pakistan,  and Bangladesh  have similarly  used language
            speaks Bengali, and the figures are 67% in Tripura and 28%   as an indicator of cultural identity and practices (Basu &
            in Assam (ORGI & MHA, 2011).                       Amin, 2000; Muhammad, 1996; Routh & Maji, 2021).

              This raises a pertinent question: Does language,   Several socioeconomic and demographic factors were
            which conveys cultural norms and values, influence early   also  included  to  analyze the  adjusted  effect of  culture
            marriage and childbearing? To the best of our knowledge,   on  early  marriage  and  childbearing.  These  included  the
            no study has explored the  potential  role  of language,  as   following: Women’s education level (no schooling, up
            a representation of a community’s cultural norms, as   to 9  years, 10, or more), mass media exposure (no or
            a determinant of early marriage and pregnancy in the   yes), sex of the household head (male or female), social
            Indian context. Thus, this study assesses the role of culture,   group (scheduled caste [SC], scheduled tribe [ST], other
            as measured through language, in early marriage and   backward classes [OBC], non-SC/ST/OBC, and who did
            childbearing among Bengali speakers in India.      not know their social classification), religion (Hindu,
                                                               Muslim, or others), household economic status (poorest,
            2. Data and methods                                poorer, middle, richer, or richest), and place of residence

            2.1. Data sources                                  (urban or rural).
            This study used data from the fifth round of the NFHS,   2.4. Statistical analysis
            conducted between 2019 and 2021. The NFHS-5 is a
            nationally  representative  survey  that  covers  636,699   The study used bivariate analysis to examine socioeconomic
            households and provides data on various health, nutrition,   and demographic differences in early marriage and
            and women empowerment indicators, including marriage   childbearing. To assess the adjusted association between
            and fertility. The survey followed a two-stage stratified   culture and early marriage and childbearing, the study
            sampling method, achieving a 98% response rate. Primary   employed binary logistic regression. Multicollinearity was
            sample units – survey villages in rural areas and census   verified using the variance inflation factor; only predictor
            enumeration blocks in urban areas – were selected using   variables with acceptable multicollinearity levels were
            probability proportion to size sampling. Trained research   included in the final regression. Sample weights were
            investigators collected data through computer-assisted   applied to adjust for non-response. The analyses were
            personal  interviews,  and  participants  provided  either   conducted using Stata (Version 15), and the results were
            verbal or written informed consent. Only respondents who   reported at a significance level of 5%.
            voluntarily consented to participate were interviewed. The   3. Results
            published report offers more details regarding the survey
            design, questionnaire, quality control procedures, and   3.1. Sample characteristics
            management information (IIPS & ICF, 2022).         Table 1 presents the socioeconomic, demographic, and
              The study sample included 51,069 married women   health profiles of the women aged 15 – 49 years included in
            aged 15 – 49 from Assam, Tripura, and West Bengal. These   the analysis. Among the sample, 46% were married before


            Volume 11 Issue 3 (2025)                        44                        https://doi.org/10.36922/ijps.2068
   45   46   47   48   49   50   51   52   53   54   55