Does the prenatal factor or the postnatal factor contribute more to changes in the child sex ratio in India? An investigation in the context of fertility and mortality transition.

There has been a drastic decline in the child sex ratio (number of females per 1000 males between ages 0 and 4) in India and many of its states. This study aimed to examine if prenatal factors, such as change in sex ratio at birth, or postnatal factors, such as change in relative mortality of females and males, contribute to this more by analysing the dynamics of the child sex ratio. Changes in the child sex ratio during 2001-2011 were decomposed into a 'fertility' component attributable to prenatal sex selection and a 'mortality' component attributable to sex differentials in postnatal survival at the country as well as the state level. Between the prenatal factor and the postnatal factor, the contribution of the latter to the declining child sex ratio has been greater than the former in India as a whole and in most of the states. By focusing on both prenatal and postnatal factors, the imbalance in the child sex ratio in the country can be reduced to a large extent.

Increasing role of abstinence and infecundity in non-use of contraceptive methods in India.

This paper assesses the reasons for non-use of contraceptive methods, and the possible complexity of reported data on women in India. The study used recent data from two successive rounds of the National Family Health Survey (NFHS) (2005-06: N=37,296; 2015-16: N=247,024), which surveyed currently married women aged 15-49 years. The reporting on non-use of contraceptives and the changing pattern of the reasons for non-use were analysed, classified into fertility and other cited reasons. The self-reported reasons for non-use of contraception were verified with other related information captured in the survey. Bivariate and logistic regression analyses were conducted. Sexual abstinence (not having sex: 10%; infrequent sex: 3%) and infecundity (menopausal/hysterectomy: 12%; subfecund/infecund: 10%) were the most commonly reported reasons for non-use of contraceptive methods in 2015-16, followed by refusal to use (10%). The proportion of non-users who wanted to have a child soon (25% to 21%), were pregnant (16% to 13%), in postpartum amenorrhoea (68% to 40%) and who had method-related reasons (10% to 6%) declined over time (from 2005-06 to 2015-16, respectively). A higher proportion of less-educated women reported abstinence (6%) and menopause/hysterectomy (19%) than educated women. Abstinence was more commonly reported in states with low prevalence of modern contraceptive use. The findings suggest that the increasing trend of abstinence and infecundity among non-users of contraception may be a concern for future research and reproductive health programmes, as it questions both the quality of data and sexual health of married couples.

Health workers' outreach and intention to use contraceptives among married women in India.

BACKGROUND: The influence of health workers on uptake of maternal healthcare services is well documented; however, their outreach for family planning (FP) services and influence on the intention to use contraceptives is less explored in the Indian context. This study examined the extent of health worker outreach for FP service and its effects on intention to use contraceptives among currently married women aged 15-49 years. METHODS: This study used data from two rounds of the National Family Health Survey (NFHS) of India, conducted during 2005-06 and 2015-16 respectively. Bivariate analysis and multivariate logistic regression were used to understand the level of and change in health worker outreach for FP services over time, and its association with intention to use contraceptives among currently married women. RESULTS: In the past 10 years, health workers' outreach for FP service has significantly increased by about 10 percentage points, although the level is not optimal and only 28% of non-users were reached by health workers in 2015-16. Increase in the outreach to younger and low parity women was higher than their respective counterparts. Intention to use contraceptive among women who were not using any method was 41% when health workers contacted and discussed FP, compared to only 20% when there was no such contact with health workers. Multivariable analysis suggests that contact with health workers has significant positive effects on intention to use contraceptive (AOR = 3.05; p < 0.001; 95% CI 2.85-3.27). CONCLUSION: Increased scope of outreach of frontline health workers to provide FP communication and services will not only help in building knowledge of contraceptive methods but will also increase women's intention to use a method. For India, this may be the most promising way to achieve the Sustainable Development Goals 3.7, which calls for universal access to reproductive health services.

Contraceptive use and its effect on Indian women's empowerment: evidence from the National Family Health Survey-4.

The positive effect of women's empowerment on the use of contraceptives is well established. However, the reverse effect, i.e. the potential effect of use of contraceptives on women's empowerment, is relatively unexplored. This study examined the direct impact of contraceptive use on women's empowerment in currently married women aged 15-49 years in India using data from the National Family Health Survey-4 conducted in 2015-16. A two-stage least squares (2SLS) regression model was used to account for the issue of endogeneity that appears in a general logit model. The use of contraceptives by the sample women was found to be associated with greater women's empowerment in terms of both their mobility and decision-making power. The pathways to greater women's empowerment are often presumed to be factors such as changing perception of their domestic role and sense of control over their own body. While these are integral, this paper highlights how the possible control over family size and birth interval through use of contraception may also be critical pathways to increasing women's empowerment.

Association between the total fertility rate and under-five child sex ratio in India: a panel study among districts of the major states.

This study examined the relationship between the total fertility rate and under-five child sex ratio to understand the role of fertility in the phenomenon of missing girls in India. Using data from the last four decennial censuses for the fifteen major states of India and their districts, covering more than 90% of the population of India, the study showed that there was a major decline in the female to male child sex ratio from 1981 to 2011 in most of the major Indian states and their districts. The panel regression model showed that the total fertility rate was significantly associated with the under-five child sex ratio at the district level for the 30-year period from 1981 to 2011 in India, even after controlling for other factors and any other unobserved heterogeneity. This indicates that areas of India with the highest fertility had the higher female to male child sex ratio, while low-fertility districts had a more male-biased sex ratio.

Is economic inequality in family planning in India associated with the private sector?

This study examined the pattern of economic disparity in the modern contraceptive prevalence rate (mCPR) among women receiving contraceptives from the public and private health sectors in India, using data from all four rounds of the National Family Health Survey conducted between 1992-93 and 2015-16. The mCPR was measured for currently married women aged 15-49 years. A concentration index was calculated and a pooled binary logistic regression analysis conducted to assess economic disparity (by household wealth quintiles) in modern contraceptive use between the public and private health sectors. The analyses were stratified by rural-urban place of residence. The results indicated that mCPR had increased in India over time. However, in 2015-16 only half of women - 48% (33% from the public sector, 12% from the private sector, 3% from other sources) - were using any modern contraceptive in India. Over time, the economic disparity in modern contraceptive use reduced across both public and private health sectors. However, the extent of the disparity was greater when women obtained the services from the private sector: the value of the concentration index for mCPR was 0.429 when obtained from the private sector and 0.133 when from the public sector in 2015-16. Multivariate analysis confirmed a similar pattern of the economic disparity across public and private sectors. Economic disparity in the mCPR has reduced considerably in India. While the economic disparity in 2015-16 was minimal among those accessing contraceptives from the public sector, it continued to exist among those receiving services from the private sector. While taking appropriate steps to plan and monitor private sector services for family planning, continued and increased engagement of public providers in the family planning programme in India is required to further reduce the economic disparity among those accessing contraceptive services from the private sector.

Socioeconomic and demographic predictors of high blood pressure, diabetes, asthma and heart disease among adults engaged in various occupations: evidence from India.

In India, non-communicable diseases (NCDs) accounted for nearly 62% of all deaths in 2016. Four NCDs - high blood pressure, diabetes, asthma and heart disease - together accounted for over 34% of these deaths. Using data from two rounds of the India Human Development Surveys (IHDSs), levels and changes in the prevalence rates of the four NCDs (based on diagnosed cases) among adults aged 15-69 years in India between 2004-05 and 2011-12 were examined by socioeconomic and demographic factors and for five broad occupation categories. The socioeconomic and demographic risk factors for each of these NCDs were determined using multiple linear logistic regression analysis of pooled data from two rounds of the IHDS. The results showed that while urban residence, age, female sex and education were associated with higher odds of high blood pressure, diabetes and heart disease, household economic status was associated with higher odds for all four NCDs. Furthermore, increased higher odds of high blood pressure, diabetes and heart disease were found for the legislator/senior official/professional occupation group compared with non-workers. Skilled agricultural/elementary workers had lower odds of high blood pressure, diabetes, asthma and heart disease. Craft/machine-related trade workers had higher odds of high blood pressure and diabetes, and reduced odds of asthma and heart disease. Compared with non-workers, the odds ratios for asthma were lower for all other occupational categories. During the two study decades, the Government of India implemented several programmes designed to improve the health and well-being of its people. However, more focused attention on the adult population is needed, and special attention should be paid to the issue of the occupational health of the working population through the strict implementation of work place safety protocols and the removal of potential health hazards.

Association of behavioral risk factors with self-reported and symptom or measured chronic diseases among adult population (18-69 years) in India: evidence from SAGE study.

BACKGROUND: The objective is to analyze the behavioral risk factors among the adult population and to identify the determinants of and their association with self-reported and symptom or measured chronic diseases in India. METHODS: The study utilized data from the Study on Global Aging and Adult Health (SAGE), Wave 1 (2007). Logistic regression was applied to examine the association of self-reported and symptom or measured chronic diseases with behavioral risk factors and socioeconomic-demographic covariates. RESULTS: The results show that the prevalence of the symptom or measured chronic diseases was higher (41.9%) than that of the self-reported chronic diseases (24.1%). The moderate and vigorous physical activity was less likely to be associated with self-reported depression, arthritis, and stroke, but more likely to be associated with the symptom or measured based arthritis and asthma compared to physical inactivity. Adequate intake of fruits and vegetables was significantly less likely to be associated with angina, COPD, and asthma; however, it was more than three times more likely to be associated (OR: 3.45; 95% CI: 1.99-5.97) with self-reported depression. Infrequent moderate alcohol drinking was statistically two times more associated (OR: 1.83; 95% CI: 1.04-3.21) with the symptom or measured based COPD than non-drinking. Likewise, any type of tobacco use was found to be about four times more associated (OR: 3.59; 95% CI: 1.07-12.13) with self-reported stroke. Both self-reported and symptom or measured hypertension, arthritis, and diabetes were associated with overweight, while hypertension was associated with obesity. Females and increased age came out as significant predictors of both self-reported and symptom or measured chronic diseases. CONCLUSION: The prevalence of chronic diseases and their association with BRFs and socioeconomic and demographic covariates differ markedly when assessed against self-reported criteria versus symptom or measured criteria. Adequate intake of fruits and vegetables is a crucial behavior that controls and delays the onset of chronic diseases. The study suggests that the National Program should remain focused on behavioral risk factors for maximum returns on health outcomes and that proper awareness and knowledge must be spread about healthy lifestyle behaviors throughout the country.

Heterogeneity in the effect of mid-childhood height and weight gain on human capital at age 14-15 years: Evidence from Ethiopia, India, Peru, and Vietnam.

BACKGROUND: Under-nutrition in early childhood has harmful impacts on human capital formation in children, with implications for educational, adult health, and labor market outcomes. We investigate the association of linear growth and weight gain in mid-childhood with years of schooling, the Peabody Picture Vocabulary Test score, and math test score during the adolescent age of 14-15 years. METHODS: Data were derived from the Young Lives study conducted in four low- and middle-income countries (Ethiopia, India, Peru, and Vietnam). The data had detailed information on the children anthropometry and characteristics of the child, household, and community. Multivariate regression analysis, adjusted for the confounding variables, was used to investigate the association between mid-childhood health, measured by conditional linear growth and relative weight gain, and human capital outcomes in adolescent age. RESULTS: After controlling for several confounders, one cm increase in conditional linear growth increased years of schooling by 0.034 years and the Peabody Picture Vocabulary Test score and math test score by 0.474 and 0.083 points respectively. Relative weight gain was negatively associated with years of schooling and math test score. There is no evidence of heterogeneous effects by rural, gender, and household wealth. In the quantile regression analyses, the association between conditional linear growth and outcomes is stronger at the lower level of years of schooling and the Peabody Picture Vocabulary Test score. CONCLUSION: Our study highlights that mid-childhood nutritional intervention targeted for students at the lower level of education distribution can accelerate the rate of human capital accumulation in low- and middle-income countries.

Mental health status of unmarried youth living in single parent families: a case study from India.

Background: In South Asian countries like India, family system lays a strong foundation in societies and therefore, the context and consequences of single parent family structures are markedly different from that of the West. In these societies single parenthood is mainly an outcome of untimely death of any one of the parents. Aims: This study tried to examine the influence of parents' survival status on the mental health of youth in India. Methods: "Youth in India: situation and Needs (2006-2007)" survey data was used in the present study. We compared two groups of unmarried young population aged 15-24 y (n = 28 637): one having both parents alive and another having only one parent alive. Bivariate and multivariate techniques were applied to analyze the data. Results: Results revealed that around 11% of the unmarried youth belonged to single parent families. Findings underscored a significant association between parent's survival and mental health of youth; respondents from single parent families were more likely to report metal health problems Moreover, effects of parents' survival were significant on females' mental health rather than males'. Conclusion: Policies must focus on reducing stress of young people growing up in single parent families through enhanced educational and employment opportunities.

Trends in inequality in length of life in India: a decomposition analysis by age and causes of death.

BACKGROUND: Studies dealing with trends in inequality in length of life in India are rare. Studies documenting the contribution of age and causes of death to the inequality in length of life are more limited. OBJECTIVE: The study aims to examine the trends in inequality in length of life in India and 15 major states of India and to decompose the inequality in length of life into the contributions of age and causes of death. METHOD: We use life table Gini coefficient (G0) to measure the inequality in length of life. We use the formulae developed by Shkolnikov, Andreev, and Begun (DR 8(11):305-358, 2003) to decompose the differences between Gini coefficients by age and cause of death. RESULT: The G0 for men has declined from 0.32 in 1981 to 0.19 in 2011. For women, G0 has decreased from 0.31 in 1981 to 0.22 in 2011. Mortality decline in the age group 0-1 year has contributed most to the decrease in G0. In contrast, mortality decline in 60+ has tended to increase the G0. The state-wide variations in the age-specific contributions to decrease in G0 were stark. The contribution of noncommunicable diseases to the male-female gap in G0 has increased between 1990 and 2010. Injuries at ages from 20 to 39 years also contributed to the male-female difference in G0 in 2010. CONCLUSION: Future studies must analyze inequality in life expectancy for assessing the performance of societies regarding length of life. CONTRIBUTION: This is the first study that provides compelling evidence on inequality in length of life in India and its major states.

Indigenous and tribal peoples' health (The Lancet-Lowitja Institute Global Collaboration): a population study.

BACKGROUND: International studies of the health of Indigenous and tribal peoples provide important public health insights. Reliable data are required for the development of policy and health services. Previous studies document poorer outcomes for Indigenous peoples compared with benchmark populations, but have been restricted in their coverage of countries or the range of health indicators. Our objective is to describe the health and social status of Indigenous and tribal peoples relative to benchmark populations from a sample of countries. METHODS: Collaborators with expertise in Indigenous health data systems were identified for each country. Data were obtained for population, life expectancy at birth, infant mortality, low and high birthweight, maternal mortality, nutritional status, educational attainment, and economic status. Data sources consisted of governmental data, data from non-governmental organisations such as UNICEF, and other research. Absolute and relative differences were calculated. FINDINGS: Our data (23 countries, 28 populations) provide evidence of poorer health and social outcomes for Indigenous peoples than for non-Indigenous populations. However, this is not uniformly the case, and the size of the rate difference varies. We document poorer outcomes for Indigenous populations for: life expectancy at birth for 16 of 18 populations with a difference greater than 1 year in 15 populations; infant mortality rate for 18 of 19 populations with a rate difference greater than one per 1000 livebirths in 16 populations; maternal mortality in ten populations; low birthweight with the rate difference greater than 2% in three populations; high birthweight with the rate difference greater than 2% in one population; child malnutrition for ten of 16 populations with a difference greater than 10% in five populations; child obesity for eight of 12 populations with a difference greater than 5% in four populations; adult obesity for seven of 13 populations with a difference greater than 10% in four populations; educational attainment for 26 of 27 populations with a difference greater than 1% in 24 populations; and economic status for 15 of 18 populations with a difference greater than 1% in 14 populations. INTERPRETATION: We systematically collated data across a broader sample of countries and indicators than done in previous studies. Taking into account the UN Sustainable Development Goals, we recommend that national governments develop targeted policy responses to Indigenous health, improving access to health services, and Indigenous data within national surveillance systems. FUNDING: The Lowitja Institute.

Trends in bidi and cigarette smoking in India from 1998 to 2015, by age, gender and education.

OBJECTIVES: Smoking of cigarettes or bidis (small, locally manufactured smoked tobacco) in India has likely changed over the last decade. We sought to document trends in smoking prevalence among Indians aged 15-69 years between 1998 and 2015. DESIGN: Comparison of 3 nationally representative surveys representing 99% of India's population; the Special Fertility and Mortality Survey (1998), the Sample Registration System Baseline Survey (2004) and the Global Adult Tobacco Survey (2010). SETTING: India. PARTICIPANTS: About 14 million residents from 2.5 million homes, representative of India. MAIN OUTCOME MEASURES: Age-standardised smoking prevalence and projected absolute numbers of smokers in 2015. Trends were stratified by type of tobacco smoked, age, gender and education level. FINDINGS: The age-standardised prevalence of any smoking in men at ages 15-69 years fell from about 27% in 1998 to 24% in 2010, but rose at ages 15-29 years. During this period, cigarette smoking in men became about twofold more prevalent at ages 15-69 years and fourfold more prevalent at ages 15-29 years. By contrast, bidi smoking among men at ages 15-69 years fell modestly. The age-standardised prevalence of any smoking in women at these ages was 2.7% in 2010. The smoking prevalence in women born after 1960 was about half of the prevalence in women born before 1950. By contrast, the intergenerational changes in smoking prevalence in men were much smaller. The absolute numbers of men smoking any type of tobacco at ages 15-69 years rose by about 29 million or 36% in relative terms from 79 million in 1998 to 108 million in 2015. This represents an average increase of about 1.7 million male smokers every year. By 2015, there were roughly equal numbers of men smoking cigarettes or bidis. About 11 million women aged 15-69 smoked in 2015. Among illiterate men, the prevalence of smoking rose (most sharply for cigarettes) but fell modestly among men with grade 10 or more education. The ex-smoking prevalence in men at ages 45-59 years rose modestly but was low: only 5% nationally with about 4 current smokers for every former smoker. CONCLUSIONS: Despite modest decreases in smoking prevalence, the absolute numbers of male smokers aged 15-69 years has increased substantially over the last 15 years. Cigarettes are displacing bidi smoking, most notably among young adult men and illiterate men. Tobacco control policies need to adapt to these changes, most notably with higher taxation on tobacco products, so as to raise the currently low levels of adult smoking cessation.

Threshold Levels of Infant and Under-Five Mortality for Crossover between Life Expectancies at Ages Zero, One and Five in India: A Decomposition Analysis.

OBJECTIVES: Under the prevailing conditions of imbalanced life table and historic gender discrimination in India, our study examines crossover between life expectancies at ages zero, one and five years for India and quantifies the relative share of infant and under-five mortality towards this crossover. METHODS: We estimate threshold levels of infant and under-five mortality required for crossover using age specific death rates during 1981-2009 for 16 Indian states by sex (comprising of India's 90% population in 2011). Kitagawa decomposition equations were used to analyse relative share of infant and under-five mortality towards crossover. FINDINGS: India experienced crossover between life expectancies at ages zero and five in 2004 for menand in 2009 for women; eleven and nine Indian states have experienced this crossover for men and women, respectively. Men usually experienced crossover four years earlier than the women. Improvements in mortality below ages five have mostly contributed towards this crossover. Life expectancy at age one exceeds that at age zero for both men and women in India except for Kerala (the only state to experience this crossover in 2000 for men and 1999 for women). CONCLUSIONS: For India, using life expectancy at age zero and under-five mortality rate together may be more meaningful to measure overall health of its people until the crossover. Delayed crossover for women, despite higher life expectancy at birth than for men reiterates that Indian women are still disadvantaged and hence use of life expectancies at ages zero, one and five become important for India. Greater programmatic efforts to control leading causes of death during the first month and 1-59 months in high child mortality areas can help India to attain this crossover early.

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.

BACKGROUND: As child mortality decreases rapidly worldwide, premature adult mortality is becoming an increasingly important contributor to global mortality. Any possible worldwide reduction of premature adult mortality before the age of 70 years will depend on progress in India. Indian districts increasingly have responsibility for implementing public health programmes. We aimed to assess age-specific and sex-specific adult mortality risks in India at the district level. METHODS: We analysed data from five national surveys of 0·27 million adult deaths at an age of 15-69 years together with 2014 demographic data to estimate age-specific and sex-specific adult mortality risks for 597 districts. Cause of death data were drawn from the verbal autopsies in the Registrar General of India's ongoing Million Death Study. FINDINGS: In 2014, about two-fifths of India's men aged 15-69 years lived in the 253 districts where the conditional probability of a man dying at these ages exceeded 50%, and more than a third of India's women aged 15-69 years lived in the 222 districts where the conditional probability of a woman dying exceeded 40%. The probabilities of a man or woman dying by the age of 70 years in high-mortality districts was 62% and 54%, respectively, whereas the probability of a man or woman dying by the age of 70 years in low-mortality districts was 40% and 30%, respectively. The roughly 10-year survival gap between high-mortality and low-mortality districts was nearly as extreme as the survival gap between the entire Indian population and people living in high-income countries. Adult mortality risks at ages 15-69 years was highest in east India and lowest in west India, by contrast with the north-south divide for child mortality. Vascular disease, tuberculosis, malaria and other infections, and respiratory diseases accounted for about 60% of the absolute gap in adult mortality risk at ages 15-69 years between high-mortality and low-mortality districts. Most of the variation in adult mortality could not be explained by known determinants or risk factors for premature mortality. INTERPRETATION: India's large variation in adult mortality by district, notably the higher death rates in eastern India, requires further aetiological research, particularly to explore whether high levels of adult mortality risks from infections and non-communicable diseases are a result of historical childhood malnutrition and infection. Such research can be complemented by an expanded coverage of known effective interventions to reduce adult mortality, especially in high-mortality districts. FUNDING: National Institutes of Health, Canadian Institutes of Health Research, University of Toronto.

Socio-Economic Differentials in Impoverishment Effects of Out-of-Pocket Health Expenditure in China and India: Evidence from WHO SAGE.

BACKGROUND AND OBJECTIVES: The provision of affordable health care is generally considered a fundamental goal of a welfare state. In addition to its role in maintaining and improving the health status of individuals and households, it impacts the economic prosperity of a society through its positive effects on labor productivity. Given this context, this paper assesses socioeconomic-differentials in the impact of out-of-pocket-health-expenditure (OOPHE) on impoverishment in China and India, two of the fastest growing economies of the world. DATA AND METHODS: The paper uses data from the World Health Organisation's Study on Global Ageing and Adult Health (WHO SAGE), and Bivariate as well as Multivariate analyses for investigating the socioeconomic-differentials in the impact of out-of-pocket-health-expenditure (OOPHE) on impoverishment in China and India. RESULTS AND CONCLUSIONS: Annually, about 7% and 8% of the population in China and India, respectively, fall in poverty due to OOPHE. Also, the percentage shortfall in income for the population from poverty line due to OOPHE is 2% in China and 1.3% in India. Further, findings from the multivariate analysis indicate that lower wealth status and inpatient as well as outpatient care increase the odds of falling below poverty line significantly (with the extent much higher in the case of in-patient care) due to OOPHE in both China and India. In addition, having at least an under-5 child in the household, living in rural areas and having a household head with no formal education increases the odds of falling below poverty line significantly (compared to a head with college level education) due to OOPHE in China; whereas having at least an under-5 child, not having health insurance and residing in rural areas increases the odds of becoming poor significantly due to OOPHE in India.

Explaining the role of proximate determinants on fertility decline among poor and non-poor in Asian countries.

OBJECTIVES: We examined the overall contributions of the poor and non-poor in fertility decline across the Asian countries. Further, we analyzed the direct and indirect factors that determine the reproductive behaviour of two distinct population sub-groups. DESIGN: Data from several new rounds of DHS surveys are available over the past few years. The DHS provides cross-nationally comparable and useful data on fertility, family planning, maternal and child health along with the other information. Six selected Asian countries namely: Bangladesh, India, Indonesia, Nepal, Philippines, and Vietnam are considered for the purpose of the study. Three rounds of DHS surveys for each country (except Vietnam) are considered in the present study. METHODS: Economic status is measured by computing a "wealth index", i.e. a composite indicator constructed by aggregating data on asset ownership and housing characteristics using principal components analysis (PCA). Computed household wealth index has been broken into three equal parts (33.3 percent each) and the lowest and the highest 33.3 percent is considered as poor and non-poor respectively. The Bongaarts model was employed to quantify the contribution of each of the proximate determinants of fertility among poor and non-poor women. RESULTS: Fertility reduction across all population subgroups is now an established fact despite the diversity in the level of socio-economic development in Asian countries. It is clear from the analysis that fertility has declined irrespective of economic status at varying degrees within and across the countries which can be attributed to the increasing level of contraceptive use especially among poor women. Over the period of time changing marriage pattern and induced abortion are playing an important role in reducing fertility among poor women. CONCLUSIONS: Fertility decline among majority of the poor women across the Asian countries is accompanied by high prevalence of contraceptive use followed by changing marriage pattern and induced abortion.