Publications by authors named "Subramanian Sv"

This study investigates the link between life course social mobility and cognitive function among middle-aged and older adults in India, specifically emphasizing whether upward and downward mobility exerts symmetric associations and potential gender heterogeneity within these associations. Leveraging data from the Longitudinal Aging Study in India 2017-2018, encompassing 64,710 individuals aged 45 years or above, we classified social mobility as 'consistently high,' 'upward mobility,' 'downward mobility,' and 'consistently low,' based on socioeconomic position during childhood and late adulthood. Multivariable regression and gender-interaction analyses were employed to assess associations.

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Introduction: There is growing interest in the relationship between neighborhood disadvantage and increased cannabis retail density, driven by evidence suggesting higher density is associated with increased cannabis use. Yet little is known on how this relationship varies across different measures of cannabis retail density. This study explores how measures of neighborhood advantage and disadvantage relate to four cannabis retail density measures in the US.

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Background: This study examines the effects of physical education on the social capital of university students, focusing on improving family, neighborhood, and academic relationships through group exercise.

Methods: In Zagreb, Croatia, 976 participants aged 19-20 years participated in a randomized controlled trial. The intervention group (n = 472) engaged in teamwork exercises, and the control group (n = 504) completed individual exercises.

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Introduction: Children from multicultural families in South Korea are at high risk of bullying victimization, highlighting the need for a deeper understanding of the challenges they face. This study explores the gendered dynamics of depressive symptoms associated with persistent exposure to bullying victimization among these youths, as well as the role of family support.

Methods: This study utilizes data from nine waves of the Multicultural Adolescents Panel Study (MAPS), spanning from 2011 (Wave 1) to 2019 (Wave 9).

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Though child anthropometric failure (CAF) is a persistent problem in India, previous studies have often neglected state-level variance and aggregated moderate and severe CAF categories. This study addresses this gap by examining moderate and severe malnutrition across India's states and union territories (UTs) from 1993 to 2021. Data of children under 2 years old from five waves of National Family Health Surveys, a representative cross-sectional survey of Indian households, were analysed.

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Background: India has made exceptional advances in child immunisation, but subnational inequities in vaccination coverage impede attainment of key programmatic goals. Our study provides an up-to-date national portrait of local variations in child vaccination using a comprehensive set of indicators relevant to routine immunisation.

Methods: Indicators representing unvaccinated (zero-dose) children, incomplete basic immunisation, and vulnerability to measles and polio, were constructed from India's 2019-2021 National Family Health Survey.

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Background: Diarrhea is a leading cause of death among children <5 years of age and can have long-term adverse consequences for human development. The World Health Organization has recommended the therapeutic use of zinc for the treatment of diarrhea, along with oral rehydration solutions, since 2004. We studied recent trends in the use of zinc to treat diarrhea in 23 low- and middle-income countries.

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Article Synopsis
  • * Data was analyzed from four National Family Health Surveys, and inadequate ANC quality was defined by the lack of seven essential services; results showed a substantial decline in inadequate ANC from 84.8% to 28.8% over the years.
  • * Despite the overall improvement, disparities in ANC quality among different states increased, with socioeconomically disadvantaged groups facing higher rates of inadequate care.
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  • - The study investigates how socioeconomic status (SES) affects body mass index (BMI) trends in India over several years, using data from National Family Health Surveys between 1998 and 2021.
  • - Findings show that people in low SES groups are more likely to be underweight, while those in high SES groups tend to be overweight or obese, though the gap in these BMI categories has decreased over time.
  • - The research highlights ongoing inequalities in BMI related to SES and suggests the need for future studies to understand the factors linking these two issues.
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Background: Patient experiences have not been documented at all India level among older adults for inpatient and outpatient services. We provide all-India and sub national estimates on six domains of patient experience, namely: waiting time, respectful treatment, clarity of explanation provided, privacy during consultation, treated by provider of choice, and cleanliness of facility.

Methods: Unit records of adults aged 45 years and above for their inpatient (n = 4330) or outpatient (n = 33,724) service use were assessed from the Longitudinal Ageing Survey of India (LASI), conducted in 2017-18.

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Article Synopsis
  • Not receiving a DPT vaccine in early childhood leads to increased risks of health issues and poor development, with 16% of children in low- and middle-income countries being identified as zero-dose.
  • Between 2014 and 2023, there was a slight annual decline of 0.8% in zero-dose children, and a 1 percentage point decrease was linked to 1.4 fewer deaths per 1,000 live births.
  • Gavi-eligible countries showed a faster reduction in zero-dose rates, suggesting targeted healthcare funding in high-prevalence areas is essential for achieving Immunization Agenda 2030.
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Background: Low birthweight (LBW) children have a higher risk of neonatal mortality. All institutional deliveries, therefore, should be weighed to determine appropriate care. Mortality risk for newborns who are not weighed at birth (NWB) is unknown.

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Objective: To develop a framework and index for measuring universal health coverage (UHC) at the district level in India and to assess progress towards UHC in the districts.

Methods: We adapted the framework of the World Health Organization and World Bank to develop a district-level UHC index (UHC ). We used routinely collected health survey and programme data in India to calculate UHC for 687 districts from geometric means of 24 tracer indicators in five tracer domains: reproductive, maternal, newborn and child health; infectious diseases; noncommunicable diseases; service capacity and access; and financial risk protection.

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This study examined the spatial distribution and social inequalities in COVID-19 vaccine coverage among children aged 5-11 in Brazil. First and second dose vaccine coverage was calculated for all Brazilian municipalities and analyzed by geographic region and deciles based on human development index (HDI-M) and expected years of schooling at 18 years of age. Multilevel models were used to determine the variance partition coefficient, and bivariate local Moran's I statistic was used to assess spatial association.

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Background: The health of India's children has improved over the past thirty years. Rates of morbidity and anthropometric failure have decreased. What remains unknown, however, is how those patterns have changed when examined by socioeconomic status.

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Objective: Social network-based reproductive decisions are critical. This study compares the effect of an older peer contraceptionuse on her younger peer's use, as they share the closest social network within the household, and tend to influence one another for reproductive decisions. In this study we considered peers as two sister-in-law living in the same household.

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Article Synopsis
  • Early mid-life is associated with increased risks for cardiometabolic illnesses linked to health-risk behaviors, such as nicotine use, highlighting the importance of understanding genetic contributions alongside socioeconomic and lifestyle factors.
  • The study analyzed data from 2337 individuals in the U.S. to determine how much variance in outcomes like BMI, waist circumference, and nicotine use can be explained by polygenic indices (PGI), showing varying impacts based on ancestry.
  • Results suggest that PGI and socioeconomic status (SES) should be modeled together for better understanding of health disparities, as PGI alone may not fully explain population health differences.
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Background: The problem of overweight/obesity often coexists with the burden of undernutrition in most low- and middle-income countries. BMI change in India incorporating the most recent trends has been under-researched.

Methods: This repeated cross-sectional study of 1,477,885 adults in India analyzed the prevalence of different categories of BMI among adults (age 20-54) in 4 rounds of National Family Health Surveys (1998-1999, 2005-2006, 2015-2016, and 2019-2021) for 36 states/UTs.

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Importance: The global success of the child survival agenda depends on how rapidly mortality at early ages after birth declines in India, and changes need to be monitored to evaluate the status.

Objective: To understand the disaggregated patterns of decrease in early-life mortality across states and union territories (UTs) of India.

Design, Setting, And Participants: Repeated cross-sectional data from the 5 rounds of the National Family Health Survey conducted in 1992-1993, 1998-1999, 2005-2006, 2015-2016, and 2019-2021 were used in a representative population-based study.

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Background: Postnatal care (PNC) utilisation within 24 hours of delivery is a critical component of health care services for mothers and newborns. While substantial geographic variations in various health outcomes have been documented in India, there remains a lack of understanding regarding PNC utilisation and underlying factors accounting for these geographic variations. In this study, we aimed to partition and explain the variation in PNC utilisation across multiple geographic levels in India.

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Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) has been welcomed as a new gold standard for quantitative evaluation of intersectional inequalities, and it is being rapidly adopted across the health and social sciences. In their commentary "What does the MAIHDA method explain?", Wilkes and Karimi (2024) raise methodological concerns with this approach, leading them to advocate for the continued use of conventional single-level linear regression models with fixed-effects interaction parameters for quantitative intersectional analysis. In this response, we systematically address these concerns, and ultimately find them to be unfounded, arising from a series of subtle but important misunderstandings of the MAIHDA approach and literature.

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Despite the well-known importance of high-quality care before and after delivery, not every mother and newborn in India receive appropriate antenatal and postnatal care (ANC/PNC). Using India's National Family Health Surveys (2015-2016 and 2019-2021), we quantified the socioeconomic and geographic inequalities in the utilization of ANC/PNC among women aged 15-49 years and their newborns (N = 161,225 in 2016; N = 150,611 in 2021). For each of the eighteen ANC/PNC components, we assessed absolute and relative inequalities by household wealth (poorest vs.

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