While inadequate birth interval becomes detrimental to health & nutritional outcome in infant and under-five year children; a systematic review through BLR and CPH model

Wealth-based disparities in the prevalence of short birth interval in India: insights from NFHS-5

BACKGROUND

Short birth interval (SBI) has profound implications for the health of both mothers and children, yet there remains a notable dearth of studies addressing wealth-based inequality in SBI and its associated factors in India. This study aims to address this gap by investigating wealth-based disparities in SBI and identifying the underlying factors associated with SBI in India.

METHODS

We used information on 109,439 women of reproductive age (15-49 years) from the fifth round of the National Family Health Survey (2019-21). We assessed wealth-based inequality in SBI for India and its states using the Erreygers Normalised Concentration Index (ECI). Additionally, we used a multilevel binary logistic regression to assess the factors associated with SBI in India.

RESULTS

In India, the prevalence of SBI was 47.8% [95% CI: 47.4, 48.3] during 2019-21, with significant variation across states. Bihar reported the highest prevalence of SBI at 61.2%, while Sikkim the lowest at 18.1%. SBI prevalence was higher among poorer mothers compared to richer ones (Richest: 33.8% vs. Poorest: 52.9%). This wealth-based inequality was visible in the ECI as well (ECI= -0.13, p < 0.001). However, ECI varied considerably across the states. Gujarat, Punjab, and Manipur exhibited the highest levels of wealth-based inequality (ECI= -0.28, p < 0.001), whereas Kerala showed minimal wealth-based inequality (ECI= -0.01, p = 0.643). Multilevel logistic regression analysis identified several factors associated with SBI. Mothers aged 15-24 (OR: 12.01, p < 0.001) and 25-34 (2.92, < 0.001) were more likely to experience SBI. Women who married after age 25 (3.17, < 0.001) and those belonging to Scheduled Caste (1.18, < 0.001), Scheduled Tribes (1.14, < 0.001), and Other Backward Classes (1.12, < 0.001) also had higher odds of SBI. Additionally, the odds of SBI were higher among mothers in the poorest (1.97, < 0.001), poorer (1.73, < 0.001), middle (1.62, < 0.001), and richer (1.39, < 0.001) quintiles compared to the richest quintile. Women whose last child had passed away were also significantly more likely to have SBI (2.35, < 0.001). Furthermore, mothers from communities with lower average schooling levels (1.18, < 0.001) were more likely to have SBI. Geographically, mothers from eastern (0.67, < 0.001) and northeastern (0.44, < 0.001) regions of India were less likely to have SBI.

CONCLUSION

The significant wealth-based inequality in SBI in India highlights the need for targeted interventions focusing on economically disadvantaged women, particularly in states with high SBI prevalence. Special attention should be given to younger mothers and those from socially disadvantaged groups to enhance maternal and child health outcomes across the country.

Short birth interval and associated factors in rural India: A cross-sectional study

Short Birth Interval (SBI) is one of the main causes of adverse maternal and child health outcomes. A 33-month birth-to-birth interval between two successive live births should be followed to minimize the risk of adverse maternal and child health. This study aimed to examine the prevalence of SBI and the associated factors in rural India. Information on 98,522 rural mothers from the fourth round of National Family Health Survey data was analyzed. Bivariate statistics, logistic regression, Moran's I, and Cluster and Outlier Analysis have been used to assess the prevalence and spatial pattern of SBI in rural India. Results revealed that about half of the mothers in rural India had experienced SBI. Rural Indian mothers whose child was not alive (OR = 1.76, 95% CI = 1.63-1.90), were not using any contraceptive methods (OR = 1.42, 95 % CI = 1.37-1.48) and not breastfeeding (OR = 2.73, 95% CI = 2.50-2.97) were more likely to experience SBI. On the other hand, rural mothers from the middle, richer and richest wealth quintiles (OR = 0.91, 95% CI = 0.86-0.97; OR = 0.84, 95% CI = 0.80-0.92; OR = 0.60, 95% CI = 0.55-0.66) and of age over 30 years (OR = 0.38., 95% CI = 0.36-0.39) were less likely to experience SBI. Analysis of spatial patterns revealed clear east-west differences in the prevalence of SBI. There was strong clustering of high values of SBI in most districts across the central, northern, western, and southern regions. The study suggests the need to introduce appropriate interventions and programs focused on reducing the prevalence of SBI in rural India.