- Research article
- Open Access
Hypertension in women: the role of adolescent childbearing
BMC Public Health volume 21, Article number: 1481 (2021)
Adolescent childbearing is associated with various health risks to the mother and child, and potentially with adverse socioeconomic outcomes. However, little is known about the role of adolescent childbearing in maternal health outcomes in adulthood. This study investigates the link between childbirth in adolescence and later-life risk of hypertension among women in India.
We obtained nationally representative data on demographic and health outcomes for 442,845 women aged 25 to 49 from the India National Family Health Survey (NFHS) 2015-16. We assessed the difference in hypertension prevalence between women who gave birth in adolescence (age 10 to 19) and those who did not, for the full sample and various sub-samples, using linear probability models with controls for individual characteristics, hypertension risk factors, and geographic fixed effects.
Nearly 40% of the women in the sample gave birth in adolescence. The adjusted probability of being hypertensive in adulthood was 2.3 percentage points higher for this group compared to women who did not give childbirth in adolescence. This added probability was larger for women who gave birth earlier in adolescence (4.8 percentage points) and for women who gave birth more than once in adolescence (3.4 percentage points).
Adolescent childbearing was strongly associated with a higher probability of adult female hypertension in India. This finding illustrates the intertemporal relationship between health risk factors during the life cycle, informing the importance of addressing adverse early life events (e.g. child marriage and adolescent childbirth) for hypertension outcomes among women in India.
Adolescent childbearing is associated with various health risks for the mother and child, and with adverse socioeconomic outcomes . Adverse maternal and perinatal outcomes include eclampsia, puerperal endometritis, and systemic infections, while infants born to adolescent mothers suffer increased rates of severe neonatal complications, low birth weight and premature delivery [1–4]. Adolescent childbirth is disproportionately represented in socially vulnerable groups and can perpetuate the cycle of poverty. Its consequences on later life outcomes include reduced education opportunities, employment and income [5–7], and it has been linked to negative health behaviors such as smoking and drinking [8, 9], and child health and child education outcomes [7, 10].
The evidence on the effects of adolescent childbearing on mothers’ later-life physical health status is less extensive. Several epidemiological studies have documented links between the timing of fertility and conditions such as women’s mental health and depression [11, 12], post-reproductive mortality , diabetes , and limitations in activities of daily living . Childbirth at an earlier age has been associated with higher risk of hypertension among women in Australia , Sweden  and South Korea . However, the effects of early childbirth on hypertension in lower-income countries, where child marriage is considerably more common , are less well understood. Low-income countries face a growing hypertension burden and bear the brunt of premature cardiovascular diseases (CVD) mortality globally . Evaluating the linkages between early childbirth and later-life hypertension in low-income areas can increase understanding of the connections between health events at different stages of the life cycle, informing the potential benefits of early intervention in reducing long-term health disparities.
This study analyzes the relationship between adolescent childbirth and later-life hypertension among women of reproductive age in India. Both early childbirth and hypertension are critical public health issues in India, where hypertension is the top underlying cause of disease burden . Although the prevalence of hypertension in men (27%) is higher than that in women (20%) , nearly two thirds of excess female deaths at age 45 to 69 in India have been attributed to CVD . Social determinants of hypertension, including human and social development, have a significant explanatory role in hypertension in India . In women, added exposure to circulating estrogen and metabolic effects resulting from early childbirth may contribute to later cardiovascular complications , which can also be aggravated by higher birth parity . As an adverse socioeconomic and physiological factor that disproportionately affects women , adolescent childbirth has the potential to exacerbate broad health disadvantages among women in India.
With the world’s largest adolescent population, India is one of the top three countries that account for 30% of all adolescent childbirths globally . Adolescent childbearing in India has implications for pregnancy outcomes, child nutrition, access to antenatal or postnatal care, and mother’s reproductive health [26–28], but has not been explored in relation to women’s hypertension outcomes. By investigating the relationship between early childbearing and later risk of hypertension in India, we document a new perspective on the possible mechanisms that may help shape chronic health outcomes in vulnerable populations.
We obtained data on 442,845 women aged 25 to 49 from the India National Family Health Survey (NFHS–4) 2015-16. The NFHS–4 is part of the USAID’s Demographic and Health Survey (DHS) program. The DHS survey protocols are reviewed and approved by the ICF Institutional Review Board (IRB). Details of the ethical review are available at: https://dhsprogram.com/Methodology/Protecting-the-Privacy-of-DHS-Survey-Respondents.cfm.
NFHS–4 provides respondent’s age at first birth, from which we derive variables indicating whether the individual gave birth during adolescence (age 10 to 19). We confined the sample to age 25+ since most (44%) of the women in the survey, aged 20 to 49, gave first childbirth during age 20 to 24. NFHS-4 also provides measures of respondent’s systolic (SBP) and diastolic blood pressure (DBP), and documents self-reported anti-hypertensive medication intake. An individual was defined as hypertensive if SBP ≥ 140mmHg and/or DBP ≥ 90mmHg and/or the individual reported taking anti-hypertensive medication at the time of the survey .
We analyzed the differences in hypertension prevalence between women aged 25-49 who gave birth between the ages of 10 to 19 and those who did not. We estimated the following linear probability model:
Where HTNi is a binary variable equal to 1 if individual i has hypertension, and zero otherwise; Adolescentchildbirthi is a binary variable equal to 1 if individual i gave birth between the ages of 10 to 19, and zero otherwise; Xi is a vector of individual characteristics including body mass index (BMI) status in four categories (underweight: < 18.5 kg/m2, normal: 18.5−24.9 kg/m2, overweight: 25.0−29.9 kg/m2, or obese: ≥ 30.0 kg/m2), wealth index quintiles, level of education (none, primary, secondary, and higher), marital status (not married, married, formerly married), religion (Hindu, Muslim, Christian, Sikh, Buddhist, other), and caste (distinguishing between women who are part of officially designated socially disadvantaged ‘backward’ groups, termed ‘scheduled caste’, ‘scheduled tribe’, ‘other backward class’, and women who are not). Riski is a vector of five individual hypertension risk factors: tobacco or alcohol use, oral contraceptive use, lifetime parity (number of births), menopause status and current pregnancy status. Urbani is a binary variable that takes the value of 1 if individual i resides in an urban area and zero if rural area.
Agegroup denotes age group fixed effects for the five age categories (25 to 29, 30 to 34, 35 to 39, 40 to 44, and 45 to 49). State denotes the state fixed effects and εi is idiosyncratic error term. State fixed effects capture the state level variations in resources and policies (e.g., access to female education, healthcare facilities) that influence our variables of interest. Complex survey weights were used to obtain regression estimates. We applied the regression model to the full sample and to subgroups of women by 5-year age groups. The statistical analysis was conducted using Stata 13.1 software. The coefficient of interest, β1, shows the adjusted difference in the probability of being hypertensive between women who gave birth in adolescence and those who did not. We also estimated a binary logistic specification, and the marginal effects were found very similar to those of the linear probability model.
Next, we explored expanded versions of the model in Equation 1 by expanding the indicator Adolescent Childbirth into subcategories according to type of birth. The expanded version follows the following specification:
Where Adolescentbirthtypeji represents the subcategory of each adolescent childbirth across j subcategories, and Eq. 2 was estimated using separate regressions that explore four different childbirth scenarios related to: 1) the stage of adolescence in which childbirth occurs, 2) the number of adolescent childbirths, 3) adolescent pregnancy outcome (childbirth vs. termination), and 4) adolescent childbirth in the context of child marriage.
Childbirth can occur at different stages of adolescence. We defined ‘early’ adolescent childbearing as giving birth at age 15 or younger , ‘middle’ adolescent childbearing as giving birth at age 16 to 17, and ‘late’ adolescent childbearing as giving birth at age 18 to 19 . To explore differences based on the stage of adolescence in which childbirth can occur, we estimated Eq. 2 where the j number of categories represented by the indicator Adolescentbirthtypeji denote mutually-exclusive stages of the time of childbirth for individual i: early, middle and late adolescence, with ‘no adolescent childbirth’ as the base category. In case of multiple adolescent childbirths at different stages of adolescence, the time of the first childbirth was used to determine the appropriate stage.
Next, we explored differences associated with the number of births in adolescence. This was done by estimating a version of Eq. 2 where the categories represented by the indicator Adolescentbirthtypeji denote the occurrence of single or multiple adolescent births, with ‘no adolescent childbirth’ as the base category.
The NFHS–4 provides information on whether a pregnancy was ever terminated, and at what age such event occurred. Based on this information, we defined four pregnancy subcategories: no pregnancy in adolescence, childbirth and no terminated pregnancy in adolescence, no childbirth but terminated pregnancy in adolescence, and both terminated pregnancy and childbirth in adolescence. We estimated a version of Equation 2 where the indicators denoted as Adolescentbirthtypeji represent this set of categories, with ‘no adolescent pregnancy’ as the base category.
Lastly, we examined differences related to marriage at the time of birth. Child marriage in India is defined as being married before the legal age of 18 (for female). We estimated Eq. 2 where the indicators denoted by Adolescentbirthtypeji represent the following set of categories: did not get married before age 18 and did not give birth in adolescence (base category), did not get married before age 18 but gave birth in adolescence, was married before age 18 but did not give birth in adolescence, and was married before age 18 and gave birth in adolescence.
The estimated association between adolescent childbirth and later hypertension can be confounded if it reflects bias from unobserved characteristics that may simultaneously predispose women to adolescent childbearing while also raising the risk of hypertension in later life, for example through health behavior and lifestyle. To address such bias, in addition to controlling for a appropriate set of covariates, we explored the sensitivity of the results to restricting the analysis to subsamples of women with shared select risk characteristics, mitigating within-group selection bias.
Teenage pregnancy in India is disproportionately higher in rural areas, among women with low or no education, among women at lower wealth quintiles, and among women who belong to certain castes . We estimated the Kaplan-Meier survival functions (adjusted for age groups) for the event of giving first childbirth for subgroups of women living in rural and urban areas, women with primary or no education and higher than primary education, women at the lowest two wealth quintiles and at the highest wealth quintile, and women belonging to designated educationally and socially disadvantaged groups including scheduled castes scheduled tribes and other. We performed a log-rank test to compare the survival distributions across the subgroups and found that the survival probability of childbearing at age 19 significantly differs across subgroups. Thus, to check the robustness of our baseline results against possible selection bias based on cross-group differences, we estimated Equation 1 for the eight different socioeconomic risk subgroups.
Behavioral factors such as tobacco and alcohol use are common risk factors for many CVD [32, 33]. Because these behaviors can be related to factors that may also determine early reproductive behavior, we conducted the analysis on the subgroup of women who have ever consumed tobacco or alcohol. Since other factors such as healthcare utilization can be similarly related to both hypertension status and reproductive behavior, we conducted the analysis on subgroups of women who had previously received a hypertension measurement and women who had not. We further checked the robustness of our results for subgroups based on birth parity: women having 1-2 children, 3-4 children, 5+ children; and on subgroups of women who have reached menopause and women currently using oral contraceptives.
Table 1 presents summary means of adolescent childbearing and hypertension among reproductive-age women in India. Approximately 40% of the women aged 25 to 49 in India gave birth in adolescence. Around half of the adolescent childbirths occurred in late adolescence and a third occurred in middle adolescence. As expected, hypertension prevalence was the lowest for the youngest age group and increased with age. Across all age groups, hypertension prevalence was higher for women who gave birth in adolescence than for women who did not. Table 2 provides background characteristics of the study participants.
Figure 1 depicts the relationship between age at first birth and hypertension prevalence. For all examined age groups, the potential risk of having hypertension is higher for women who gave birth in early adolescence. Except for the 25-to-29 age group, hypertension prevalence is also higher for women who gave birth in middle and late adolescence than those who gave first birth in later periods. Since nearly two-thirds of the currently pregnant women in the sample belongs to the 25-to-29 age group, the relatively higher hypertension prevalence for women in this age group may be related to pregnancy induced hypertension.
The unadjusted trends reported in Table 1 and Fig. 1 motivate further investigation of the role of adolescent childbirth in later-life hypertension. Regression-adjusted estimates of the difference in the probability of being hypertensive are shown in Table 3, where the hypertension probability estimate was 2.3 percentage points (pp) higher for women who gave birth in adolescence. These findings were consistent across all age groups, with adjusted differences in the probability of having hypertension ranging from 0.8pp for the youngest age group to 3.2pp for the oldest age group. Other covariates that were strongly associated with raising the probability of being hypertensive were overweight and obese status, menopause or currently using oral contraceptives, being ever married, belonging to a religious minority group (Muslim, Christian, Sikh, or other), belonging to a scheduled tribe, and tobacco or alcohol use among younger women.
Table 4 presents estimates from the expanded models of hypertension and adolescent childbearing. Panel A reports estimates for childbearing at different stages of adolescence. The added probability of being hypertensive was the largest for women who gave birth in early adolescence (4.8pp) and the lowest for women who gave birth in late adolescence (1.6pp). The added probability of hypertension associated with prior childbirth in early adolescence ranged from 3.5pp for younger women to 6.4pp for the oldest women. Panel B shows a comparison between single and multiple adolescent childbirths. On average, the added probability of hypertension was larger for women who gave more than one childbirth in adolescence, whose risk of hypertension was twice as high as the added probability for women with a single adolescent childbirth and 3.4pp higher than women with no adolescent births. Panel C shows that experiencing a terminated pregnancy in adolescence is not associated with added probability of later-life hypertension while experiencing a childbirth raises the hypertension probability by 2.2pp. Panel D shows that child marriage alone was associated with higher probability of later-life hypertension, but the added probability was higher when the marriage is accompanied by birth in adolescence.
Figure 2 shows the Kaplan-Meier survival functions for the event of first childbirth. At age 19, the survival probability of childbearing (adjusted for age group) was 0.54 in rural areas and 0.61 in urban areas; 0.49 at the bottom two wealth quintiles and 0.71 at the top quintile; 0.45 to 0.47 for individuals with primary or no education and 0.66 for individuals with higher than primary education; and 0.55 for individuals of designated ‘backward’ social class and 0.61 for individuals not in this class. The log rank test for each set of groups also suggests that the survival distributions are different across the respective groups. Panel A in Table 5 shows the adjusted differences in the probability of being hypertensive between women who gave birth in adolescence and those who did not for the socioeconomic subgroups in the survival analysis. The estimates were robust across all subgroups. The result was robust for the subgroups of women in the bottom two wealth quintiles (added probability of hypertension, 1.9pp), women of designated ‘backward’ social class (added probability of hypertension, 2.3pp), women with primary or no education (added probability of hypertension, 2.4pp), and women in rural areas (added probability of hypertension, 2.3pp).
In the data, we found that women (age 30+) at menopause are 10.8 percentage points more likely to have hypertension. Similarly, oral contraceptive user women are 0.8 percentage points more likely to have hypertension. We also found parity being associated with increasing risk of hypertension as women with 1 to 2 children are 1.5 percentage points more likely to have hypertension, while women with 3 to 4 children and 5+ children are respectively 3.6 and 5.1 percentage points more likely to have hypertension than women without any children. Lastly, we found that tobacco or alcohol consuming women are 2.4 percentage points more likely to have hypertension in the NFHS–4 data.
Panel B in Table 5 shows the adjusted differences in probability of being hypertensive across risk factor subgroups such as menopause, contraceptive use, parity, and tobacco/alcohol use. Across all risk subgroups, the added probability of being hypertensive was higher for women who gave birth during adolescent age compared to those who did not. The results were also consistent for the group of women who previously had their blood pressure screened.
We find that women who gave birth in adolescence have a higher probability of being hypertensive in adulthood. The added probability of hypertension is highest for those who gave birth in early adolescence, decreasing for childbirth events in later stages of adolescence. The findings were robust across age groups and various socioeconomic, demographic, and hypertension-risk sub-groups.
Our estimates indicate that the added risk of later-life hypertension associated with adolescent childbirth is higher for women who have had multiple adolescent births than for those with only one, suggesting that it may be cumulative. No added risk was detected for women with terminated adolescent pregnancies, suggesting that the added hypertension risk may be related to the physiological demands of carrying a pregnancy. We further estimate that the added probability of later-life hypertension is magnified when the adolescent childbirth occurs within the context of a child marriage, and that child marriage is independently associated with higher risk of hypertension in later life. These findings suggest that the socioeconomic disadvantages from child marriage can enhance the biological mechanisms through which early childbirth may affect later-life hypertension.
Applying the analysis to subgroups defined by factors that independently affect both hypertension and reproductive outcomes can help to address concerns about selection bias in the baseline estimates. We find that the added risk of later-life hypertension associated with adolescent childbirth is statistically robust across higher-risk groups such as women who use tobacco/alcohol, use contraception, have high lifetime parity, and have lower wealth, education or healthcare use. Although our estimates do not inform about the precise mechanism through which early birth might determine subsequent hypertension in women, and the estimates cannot be interpreted as causal due to remaining confounding factors that may play a role, our findings are consistent with the hypothesis that early reproductive activity may increase subsequent cardiovascular risk among women in India. This is consistent with findings from high-income countries, where similar correlations have been documented for women in Australia , Sweden  and South Korea .
Our findings have important implications in the Indian context. Vascular diseases linked to hypertension are one of the top mortality risks for women aged 15 to 69 in India . Access to adequate hypertension care and management is limited, and there are large variations in the hypertension care cascade across regions . In our sample of reproductive-age women, nearly three out of four hypertension cases were untreated, raising the risk of ischemic heart disease , the leading cause of deaths in India . Gender discrimination in access to healthcare in India  further aggravates women’s health risks linked to hypertensive conditions. With limited or no access to health insurance, the out-of-pocket spending on hypertension treatment can lead to catastrophic level of healthcare spending  and can adversely impact household resource allocation . Despite high need for hypertension care, studies have shown critical gaps in the ability to deliver hypertension management services in primary care outlets in India [41, 42]. The added risk of hypertension among women who gave birth in adolescence, combined with the high frequency of child marriage and adolescent births in India, can contribute to straining future health system resources. Since child marriage is more common in rural areas and in vulnerable population, the added hypertension risk from adolescent childbirth can exacerbate existing health disparities.
As all observational studies, the present analysis is subject to estimation limitations that prevent the identification of causal effects. Because it uses self-reported survey data, some statistics may be subject to recall bias. The hypertensive status in the survey was not clinically diagnosed, rather determined based on blood pressure measurement during one occasion and self-reported anti-hypertensive medication intake. Further, it does not inform about the precise clinical mechanism that might explain the link between adolescent childbirth and later-life hypertension. However, by documenting the significant and robust association between early birth and subsequent hypertension status, it motivates further investigation of the biological and social consequence of early reproductive behavior.
The literature on adolescent childbearing has evolved mostly around direct adverse outcomes such as complications of pregnancy and childbirth leading to maternal mortality, perinatal and infant mortality, and children’s health. Sociological research has described its role in reducing opportunities for future education and employment, increasing social stigma, intimate partner violence, and perpetuating the poverty cycle . We expand the existing evidence by documenting the link between adolescent childbearing and later-life hypertension in women in India, where efforts to reduce child marriage are ongoing. Despite progress in preventing child marriage, a large number of women in India still got married before the age of 18  and most of these women gave birth during adolescence . We show that the probability of adult female hypertension in India is disproportionately higher among these women who experienced adolescent childbirth.
Analyzing health issues from a life course perspective offers a holistic understanding of the problem and facilitates early interventions that could reduce the burden of health problems in later life. Our findings illustrate the relevance of early reproductive health to long-term health outcomes of women in the low-and-middle-income countries.
Availability of data and materials
The datasets used and/or analysed during the current study are freely available from the USAID’s DHS Program website (https://www.dhsprogram.com/data/dataset_admin/login_main.cfm) upon registering as a DHS data user and submitting a research proposal.
India national family health survey round 4
Demographic and health survey
Systolic blood pressure
Diastolic blood pressure
Body mass index
Oral contraceptive pill
World Health Organization. Adolescent Pregnancy. Geneva: WHO; 2020. https://www.who.int/news-room/fact-sheets/detail/adolescent-pregnancy. Accessed 13 Feb 2020.
Chen XK, Wen SW, Fleming N, Demissie K, Rhoads GG, Walker M. Teenage pregnancy and adverse birth outcomes: a large population based retrospective cohort study. Int J Epidemiol. 2007; 36(2):368–73.
Ganchimeg T, Ota E, Morisaki N, Laopaiboon M, Lumbiganon P, Zhang J, et al. Pregnancy and childbirth outcomes among adolescent mothers: a W orld H ealth O rganization multicountry study. BJOG Int J Obstet Gynaecol. 2014; 121:40–48.
Althabe F, Moore JL, Gibbons L, Berrueta M, Goudar SS, Chomba E, et al. Adverse maternal and perinatal outcomes in adolescent pregnancies: The Global Network’s Maternal Newborn Health Registry study. Reprod Health. 2015; 12(2):S8.
Geronimus AT, Korenman S. The socioeconomic consequences of teen childbearing reconsidered. Q J Econ. 1992; 107(4):1187–1214.
Ashcraft A. Fernández-Val I, Lang K. The consequences of teenage childbearing: Consistent estimates when abortion makes miscarriage non-random. Econ J. 2013; 123(571):875–905.
Branson N, Byker T. Causes consequences of teen childbearing: Evidence from a reproductive health intervention in South Africa. J Health Econ. 2018; 57:221–35.
Fletcher JM. The effects of teenage childbearing on the short-and long-term health behaviors of mothers. J Popul Econ. 2012; 25(1):201–18.
Webbink D, Martin NG, Visscher PM. Does teenage childbearing increase smoking, drinking and body sizeJ Health Econ. 2008; 27(4):888–903.
Chari A, Heath R, Maertens A, Fatima F. The causal effect of maternal age at marriage on child wellbeing: Evidence from India. J Dev Econ. 2017; 127:42–55.
Aitken Z, Hewitt B, Keogh L, LaMontagne AD, Bentley R. Kavanagh AM. Young maternal age at first birth and mental health later in life: Does the association vary by birth cohort?Soc Sci Med. 2016; 157:9–17.
Carlson DL. Explaining the curvilinear relationship between age at first birth and depression among women. Soc Sci Med. 2011; 72(4):494–503.
Spence NJ, Eberstein IW. Age at first birth, parity, and post-reproductive mortality among white and black women in the US, 1982–2002. Soc Sci Med. 2009; 68(9):1625–32.
Vandenheede H, Deboosere P, Gadeyne S, De Spiegelaere M. The associations between nationality, fertility history and diabetes-related mortality: a retrospective cohort study in the Brussels-Capital Region (2001–2005). J Publ Health. 2012; 34(1):100–7.
Spence NJ. The long-term consequences of childbearing: physical and psychological well-being of mothers in later life. Research on Aging. 2008; 30(6):722–751.
Lind JM, Hennessy A, Chiu CL. Association between a woman’s age at first birth and high blood pressure. Medicine. 2015; 94(16). https://doi.org/10.1097/md.0000000000000697.
Parikh NI, Norberg M, Ingelsson E, Cnattingius S, Vasan RS, Domellöf M, et al. Association of pregnancy complications and characteristics with future risk of elevated blood pressure: the Västerbotten Intervention Program. Hypertension. 2017; 69(3):475–83.
Park S. Age at first childbirth and hypertension in postmenopausal women. Hypertension. 2017; 69(5):821–6.
Nguyen MC, Wodon Q. Global and regional trends in child marriage. Rev Faith Int Affairs. 2015; 13(3):6–11.
World Health Organization. Hypertension. Geneva: WHO; 2019. https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed 13 Feb 2020.
Gupta R, Hypertension XavierD.The most important non communicable disease risk factor in India. Indian Heart J. 2018; 70(4):565–72.
Gupta R, Gaur K, Ram CVS. Emerging trends in hypertension epidemiology in India. J Human Hypertens. 2019; 33(8):575–87.
Anderson S, Ray D. Missing women: age and disease. Rev Econ Stud. 2010; 77(4):1262–300.
Oliver-Williams C, Vladutiu CJ, Loehr LR, Rosamond WD, Stuebe AM. The association between parity and subsequent cardiovascular disease in women: the atherosclerosis risk in communities study. J Women’s Health. 2019; 28(5):721–7.
United Nations Children’s Fund. Progress for Children: A report card on adolescents. NY: UNICEF; 2012.
Kavitha N. Are young mothers in India deprived of maternal health care services? a comparative study of urban and rural areas. J Health Manag. 2015; 17(2):204–220.
Patra S. Motherhood in childhood: addressing reproductive health hazards among adolescent married women in India. Reprod Health. 2016; 13(1):52.
Nguyen PH, Scott S, Neupane S, Tran LM, Menon P. Social, biological, and programmatic factors linking adolescent pregnancy and early childhood undernutrition: a path analysis of India’s 2016 National Family and Health Survey. Lancet Child Adolesc Health. 2019; 3(7):463–473.
International Institute for Population Sciences (IIPS) and ICF, National Family Health Survey (NFHS-4) 2015-16:India. India: IIPS Mumbai; 2017.
Phipps MG, Sowers M. Defining early adolescent childbearing. Am J Publ Health. 2002; 92(1):125–8.
Conde-Agudelo A. Belizán JM, Lammers C. Maternal-perinatal morbidity and mortality associated with adolescent pregnancy in Latin America: Cross-sectional study. Am J Obstet Gynecol. 2005; 192(2):342–9.
Mukamal KJ. The effects of smoking and drinking on cardiovascular disease and risk factors. Alcohol Res Health. 2006; 29(3):199.
World Health Organization. Cardiovascular diseases (CVDs). Geneva: WHO; 2017. https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds). Accessed 20 April 2020.
Ram U, Jha P, Gerland P, Hum RJ, Rodriguez P, Suraweera W, et al. Age-specific and sex-specific adult mortality risk in India in 2014: analysis of 0· 27 million nationally surveyed deaths and demographic estimates from 597 districts. Lancet Global Health. 2015; 3(12):e767–75.
Prenissl J, Manne-Goehler J, Jaacks LM, Prabhakaran D, Awasthi A, Bischops AC, et al. Hypertension screening, awareness, treatment, and control in India: A nationally representative cross-sectional study among individuals aged 15 to 49 years. PLoS Med. 2019; 16(5). https://doi.org/10.1371/journal.pmed.1002801.
Lawes CM, Vander Hoorn S, Rodgers A, et al. Global burden of blood-pressure-related disease, 2001. Lancet. 2008; 371(9623):1513–8.
Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159):1736–88.
Kapoor M, Agrawal D, Ravi S, Roy A, Subramanian S, Guleria R. Missing female patients: an observational analysis of sex ratio among outpatients in a referral tertiary care public hospital in India. BMJ Open. 2019; 9(8):e026850.
Datta BK, Husain MJ, Asma S. Assessing the relationship between out-of-pocket spending on blood pressure and diabetes medication and household catastrophic health expenditure: evidence from Pakistan. Int J Equity Health. 2019; 18(1):9.
Datta BK, Husain MJ, Fatehin S. The crowding out effect of out-of-pocket medication expenses of two major non-communicable diseases in Pakistan. Int Health. 2020; 12(1):50–59.
Pakhare A, Kumar S, Goyal S, Joshi R. Assessment of primary care facilities for cardiovascular disease preparedness in Madhya Pradesh, India. BMC Health Serv Res. 2015; 15(1):408.
Elias MA, Pati MK, Aivalli P, Srinath B, Munegowda C, Shroff ZC, et al. Preparedness for delivering non-communicable disease services in primary care: access to medicines for diabetes and hypertension in a district in south India. BMJ Global Health. 2018; 2(Suppl 3):e000519.
Paul P. Child Marriage Among Girls in India: Prevalence, Trends and Socio-Economic Correlates. Indian J Human Dev. 2020; 14(2):304–19.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
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The study used anonymized data from publicly available secondary source, and, therefore, ethics committee approval was not required. Participation in the survey was voluntary and informed consent was obtained prior interview. Data access were granted through registration at the USAID’s DHS program website: https://dhsprogram.com/data/new-user-registration.cfm.
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Datta, B.K., Husain, M.J. & Kostova, D. Hypertension in women: the role of adolescent childbearing. BMC Public Health 21, 1481 (2021). https://doi.org/10.1186/s12889-021-11488-z
- Adolescent childbearing
- Teenage pregnancy
- Life course