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  1. AU="S. V. Subramanian"
  2. AU=Seror Raphaele
  3. AU="Anne K. McGavigan"
  4. AU="Martín-Francés, Laura"
  5. AU="Roy Remmen"
  6. AU="Perlee, Sarah"
  7. AU="Atamanalp, Refik Selim"
  8. AU="Costa, Bruno Buranello"
  9. AU="Kohler, Beatriz"
  10. AU="Tabata, Toshinori"
  11. AU="Sun, Shijing"
  12. AU="Kufeji D."
  13. AU="Kohani, Sayeh"
  14. AU="Wong, John Cm"
  15. AU="Hua LI"
  16. AU="Özkan, Yasemin"
  17. AU=Quirmbach Diana
  18. AU="Corpstein, Clairissa D"
  19. AU="Motel-Klingebiel, Andreas"
  20. AU="Brown, Randy A"
  21. AU="Feng, Yaying"
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  23. AU="Yeon Susan B"
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  27. AU=Alzahrani Faisal A AU=Alzahrani Faisal A
  28. AU="Heidi G Standke"
  29. AU="Banville, Isabelle"
  30. AU=Morrow Lee E
  31. AU="Cuss, Chad W."
  32. AU="Carter, Paul (Interviewpartner)"
  33. AU=Lubozynski M F
  34. AU="Yves, Ville"
  35. AU="Bayer, Emily A"
  36. AU=Roesch Saskia
  37. AU="Tam, Benjamin"
  38. AU="Mori, Kousuke"
  39. AU="Steuer, Melanie"
  40. AU="Sood Hemant"
  41. AU="Jennifer Schaff"
  42. AU="Maji, Manideepa"
  43. AU=Evans Heather L
  44. AU="Cheng, Shuai"
  45. AU="Zalis, Joshua"

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  1. Artikel ; Online: Should India adopt a country-specific growth reference to measure undernutrition among its children?

    S.V. Subramanian / Anuradha Khailkar / Omar Karlsson

    The Lancet Regional Health - Southeast Asia, Vol 9, Iss , Pp 100107- (2023)

    1480  

    Schlagwörter Public aspects of medicine ; RA1-1270
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Distribution of self-reported health in India

    Ila Patnaik / Renuka Sane / Ajay Shah / S V Subramanian

    PLoS ONE, Vol 18, Iss 1, p e

    The role of income and geography.

    2023  Band 0279999

    Abstract: An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 'homogeneous ... ...

    Abstract An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 'homogeneous regions' within the country, after controlling for household and individual characteristics. Higher income is correlated with better health in only 40% of India. We create novel maps showing regions with poor health, that is attributable to the location, that diverge from the conventional wisdom. These results suggest the need for epidemiological studies in the hotspots of ill-health and in regions where higher income does not correlate with improved health.
    Schlagwörter Medicine ; R ; Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag Public Library of Science (PLoS)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Socioeconomic and geographic variation in coverage of health insurance across India

    Mayanka Ambade / Sunil Rajpal / Rockli Kim / S. V. Subramanian

    Frontiers in Public Health, Vol

    2023  Band 11

    Abstract: IntroductionIn India, regular monitoring of health insurance at district levels (the most essential administrative unit) is important for its effective uptake to contain the high out of pocket health expenditures. Given that the last individual data on ... ...

    Abstract IntroductionIn India, regular monitoring of health insurance at district levels (the most essential administrative unit) is important for its effective uptake to contain the high out of pocket health expenditures. Given that the last individual data on health insurance coverage at district levels in India was in 2016, we update the evidence using the latest round of the National Family Health Survey conducted in 2019-2021.MethodsWe use the unit records of households from the latest round (2021) of the nationally representative National Family Health Survey to calculate the weighted percentage (and 95% CI) of households with at least one member covered by any form of health insurance and its types across socio-economic characteristics and geographies of India. Further, we used a random intercept logistic regression to measure the variation in coverage across communities, district and state. Such household level study of coverage is helpful as it represents awareness and outreach for at least one member, which can percolate easily to the entire household with further interventions.ResultsWe found that only 2/5th of households in India had insurance coverage for at least one of its members, with vast geographic variation emphasizing need for aggressive expansion. About 15.5% were covered by national schemes, 47.1% by state health scheme, 13.2% by employer provided health insurance, 3.3% had purchased health insurance privately and 25.6% were covered by other health insurance schemes (not covered above). About 30.5% of the total variation in coverage was attributable to state, 2.7% to districts and 9.5% to clusters. Household size, gender, marital status and education of household head show weak gradient for coverage under “any” insurance.DiscussionDespite substantial increase in population eligible for state sponsored health insurance and rise in private health insurance companies, nearly 60% of families do not have a single person covered under any health insurance scheme. Further, the existing coverage is ...
    Schlagwörter health insurance ; India ; geographic variation ; National Family Health Survey ; multilevel modelling ; Public aspects of medicine ; RA1-1270
    Thema/Rubrik (Code) 360
    Sprache Englisch
    Erscheinungsdatum 2023-07-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Association of parental characteristics with offspring anthropometric failure, anaemia and mortality in India

    Rajesh Kumar Rai / S. V. Subramanian / Sebastian Vollmer

    Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-

    2022  Band 13

    Abstract: Abstract This study used a wide range of information on parental sociodemographic, physical and behavioural characteristics as well as on the presence of non-communicable diseases among parents and examined the association of these attributes with ... ...

    Abstract Abstract This study used a wide range of information on parental sociodemographic, physical and behavioural characteristics as well as on the presence of non-communicable diseases among parents and examined the association of these attributes with anthropometric failure, anaemia and mortality of their children aged 0–59 months. Findings revealed that children of fathers aged 30–39 years were less likely to experience anthropometric failure and anaemia; however, survival of children of fathers below 18 years at marriage could be threatened. Parental education had protective association with children’s anthropometric failure, anaemia and under-five mortality. With increasing maternal height, children had lower odds of anthropometric failure and under-five mortality. Tobacco use by mothers was associated with increase in under-five mortality, and children with diabetic fathers had higher odds of under-five mortality.
    Schlagwörter History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag Springer Nature
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Can administrative health data be used to estimate population level birth and child mortality estimates? A comparison of India's Health Information Management System data with nationally representative survey data

    Pritha Chatterjee / Aashish Gupta / S.V. Subramanian

    SSM: Population Health, Vol 19, Iss , Pp 101148- (2022)

    2022  

    Schlagwörter Public aspects of medicine ; RA1-1270 ; Social sciences (General) ; H1-99
    Sprache Englisch
    Erscheinungsdatum 2022-09-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Effect of mobile health interventions in increasing utilization of Maternal and Child Health care services in developing countries

    Ramachandran Venkataramanan / S.V. Subramanian / Mohannad Alajlani / Theodoros N Arvanitis

    Digital Health, Vol

    A scoping review

    2022  Band 8

    Abstract: Background Mobile health (mHealth) technology is being used predominantly in low- and middle-income countries. Developing countries with low level of investment in health infrastructure can augment existing capacity by adopting low-cost affordable ... ...

    Abstract Background Mobile health (mHealth) technology is being used predominantly in low- and middle-income countries. Developing countries with low level of investment in health infrastructure can augment existing capacity by adopting low-cost affordable technology. The aim of the review was to summarize the available evidence on mHealth interventions that aimed at increasing the utilization of Maternal and Child Health (MCH) care services. Further, this review investigated the barriers which prevent the use of mHealth among both health care workers as well as beneficiaries. Methodology A scoping review of literature was undertaken using the five-stage framework developed by Arksey and O’Malley. The articles published between 1990 and 2021 were retrieved from three databases (PubMed, Cochrane Reviews, and Google Scholar) and grey literature for this review. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist was followed to present the findings. Result A total of 573 studies were identified. After removing duplicates, studies not related to mHealth and MCH and publications of systematic reviews and protocols for studies, a total of 28 studies were selected for review. The study design of the research articles which appeared during the search process were mostly observational, cross-sectional, and randomized controlled trials (RCTs). We have classified the studies into four categories based on the outcomes for which the mHealth intervention was implemented: MCH care services, child immunization, nutrition services, and perceptions of stakeholders toward using technology for improving MCH outcomes. Conclusion This brief review concludes that mHealth interventions can improve access to MCH services. However, further studies based on large sample size and strong research design are recommended.
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7
    Thema/Rubrik (Code) 306
    Sprache Englisch
    Erscheinungsdatum 2022-12-01T00:00:00Z
    Verlag SAGE Publishing
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Distributional effects on children's cognitive and social-emotional outcomes in the Head Start Impact Study

    Sun Yeop Lee / Justin Rodgers / Rockli Kim / S.V. Subramanian

    SSM: Population Health, Vol 18, Iss , Pp 101108- (2022)

    A quantile regression approach

    2022  

    Abstract: Heterogeneity in treatment effects of the Head Start, a federally funded early childhood development program in the United States, has previously been found in the Head Start Impact Study (HSIS), a nationally representative randomized controlled trial. ... ...

    Abstract Heterogeneity in treatment effects of the Head Start, a federally funded early childhood development program in the United States, has previously been found in the Head Start Impact Study (HSIS), a nationally representative randomized controlled trial. While individual characteristics have been extensively examined as sources of effect heterogeneity, treatment effects may vary as a function of outcome distribution (i.e., distributional effect). Using quantile regressions, we investigated distributional effects of the Head Start on eight child developmental outcomes for first year, second year, third year, and the 3rd grade year follow-up in the HSIS data. For PPVT and Applied Problems, the effects varied substantially across quantiles in the first follow-up, but they were positive overall. The effects at the lower quantiles were larger and were sustained beyond the first follow-up (PPVT [95% CI] at 10th and 90th quantiles: 8.74 [6.22, 11.27], 3.32 [0.82, 5.81]) in the first follow-up and 5.72 [2.66, 8.77], −1.66 [-3.69, 0.37] in the second follow-up). For Behavior Problems, the effects were only positive for the lower quantiles in the first follow-up, but they became null in the latter follow-ups. For Letter-Word Identification, Spelling, and Pre-Academic, the effects were positive in the first follow-up with moderate variation across quantiles. In the second follow-up, only the effects at the lower quantiles were statistically significant, although they faded in the latter follow-ups. For Oral Comprehension and Social Skills, effects were null for all follow-ups. The Head Start had meaningful distributional effects for a range of child developmental outcomes, and distributional effects should be routinely assessed for better understanding of child developmental programs.
    Schlagwörter Distributional effect ; Treatment effect heterogeneity ; Quantile regression ; Head Start Impact Study ; Child development ; Public aspects of medicine ; RA1-1270 ; Social sciences (General) ; H1-99
    Thema/Rubrik (Code) 150
    Sprache Englisch
    Erscheinungsdatum 2022-06-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Prevalence of Zero-Food among infants and young children in India

    S.V. Subramanian / Mayanka Ambade / Smriti Sharma / Akhil Kumar / Rockli Kim

    EClinicalMedicine, Vol 58, Iss , Pp 101890- (2023)

    patterns of change across the States and Union Territories of India, 1993–2021Research in context

    2023  

    Abstract: Summary: Background: The extent of food deprivation and insecurity among infants and young children—a critical phase for children's current and future health and well-being—in India is unknown. We estimate the prevalence of food deprivation among infants ...

    Abstract Summary: Background: The extent of food deprivation and insecurity among infants and young children—a critical phase for children's current and future health and well-being—in India is unknown. We estimate the prevalence of food deprivation among infants and young children in India and describe its evolution over time at sub-national levels. Methods: Data from five National Family Health Surveys (NFHS) conducted in 1993, 1999, 2006, 2016 and 2021 for the 36 states/Union Territories (UTs) of India were used. The study population consisted of the most recent children (6–23 months) born to mothers (aged 15–49 years), who were alive and living with the mother at the time of survey (n = 175,614 after excluding observations that had no responses to the food question). Food deprivation was defined based on the mother's reporting of the child having not eaten any food of substantial calorific content (i.e., any solid/semi-solid/soft/mushy food types, infant formula and powdered/tinned/fresh milk) in the past 24 hours (h), which we labelled as “Zero-Food”. In this study, we analyzed Zero-Food in terms of percent prevalence as well as population headcount burden. We calculated the Absolute Change (AC) to quantify the change in the percentage points of Zero-Food across time periods for all-India and by states/UTs. Findings: The prevalence of Zero-Food in India marginally declined from 20.0% (95% CI: 19.3%–20.7%) in 1993 to 17.8% (95% CI: 17.5%–18.1%) in 2021. There were considerable differences in the trajectories of change in the prevalence of Zero-Food across states. Chhattisgarh, Mizoram, and Jammu and Kashmir experienced high increase in the prevalence of Zero-Food over this time period, while Nagaland, Odisha, Rajasthan and Madhya Pradesh witnessed a significant decline. In 2021, Uttar Pradesh (27.4%), Chhattisgarh (24.6%), Jharkhand (21%), Rajasthan (19.8%) and Assam (19.4%) were states with the highest prevalence of Zero-Food. As of 2021, the estimated number of Zero-Food children in India was 5,998,138, with the ...
    Schlagwörter Food deprivation ; Food insecurity ; Zero-Food ; Food policy ; Sustainable development goals (SDGs) ; Zero hunger ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 360
    Sprache Englisch
    Erscheinungsdatum 2023-04-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Assessment of heterogeneous Head Start treatment effects on cognitive and social-emotional outcomes

    Sun Yeop Lee / Rockli Kim / Justin Rodgers / S. V. Subramanian

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Band 11

    Abstract: Abstract Head Start is a federally funded, nation-wide program in the U.S. for enhancing school readiness of children aged 3–5 from low-income families. Understanding heterogeneity in treatment effects (HTE) is an important task when evaluating programs, ...

    Abstract Abstract Head Start is a federally funded, nation-wide program in the U.S. for enhancing school readiness of children aged 3–5 from low-income families. Understanding heterogeneity in treatment effects (HTE) is an important task when evaluating programs, but most attempts to explore HTE in Head Start have been limited to subgroup analyses that rely on average treatment effects by subgroups. This study applies an extension of multilevel modelling, complex variance modelling, to data from a randomized controlled trial of Head Start, Head Start Impact Study (HSIS). The treatment effects on the variance, in addition to the mean, of nine cognitive and social-emotional outcomes were assessed for 4,442 children aged 3–4 years who were followed until their 3rd grade year. Head Start had positive short-term effects on the means of multiple cognitive outcomes while having no effect on the means of social-emotional outcomes. Head Start reduced the variances of multiple cognitive and one social-emotional outcomes, meaning that substantial HTE exists. In particular, the increased mean and decreased variance reflect the ability of Head Start to improve the outcomes and reduce their variability. Exploratory secondary analyses suggested that larger benefits for children with Spanish as a primary language and low parental educational level partly explained the reduced variability, but the HTE remained and the variability was reduced even within these subgroups. Routinely monitoring the treatment effects on the variance, in addition to the mean, would lead to a more comprehensive program evaluation that describes how a program performs on average and on the entire distribution.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 150
    Sprache Englisch
    Erscheinungsdatum 2022-04-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: Estimating heritability of height without zygosity information for twins under five years in low- and middle-income countries

    Omar Karlsson / Benjamin W. Domingue / Rockli Kim / S.V. Subramanian

    SSM: Population Health, Vol 17, Iss , Pp 101043- (2022)

    An application of normal finite mixture distribution models

    2022  

    Abstract: Twin studies are widely used to estimate heritability of traits and typically rely on knowing the zygosity of twin pairs in order to determine variation attributable to genetics. Most twin studies are conducted in high resource settings. Large scale ... ...

    Abstract Twin studies are widely used to estimate heritability of traits and typically rely on knowing the zygosity of twin pairs in order to determine variation attributable to genetics. Most twin studies are conducted in high resource settings. Large scale household survey data, such as the Demographic and Health Surveys, collect various biomarkers for children under five years old in low- and middle-income countries. These data include twins but no information on zygosity. We applied mixture models to obtain heritability estimates without knowing zygosity of twins, using 249 Demographic and Health Surveys from 79 low- and middle-income countries (14,524 twin pairs). We focused on height of children, adjusted for age and sex, but also provided estimates for other biomarkers available in the data. We estimated that the heritability of height in our sample was 46%.
    Schlagwörter Heritability ; Twin studies ; Height ; Unknown zygosity ; Low- and middle-income countries ; Public aspects of medicine ; RA1-1270 ; Social sciences (General) ; H1-99
    Thema/Rubrik (Code) 310
    Sprache Englisch
    Erscheinungsdatum 2022-03-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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