ScholarWorks@Korea University: Kim, Rock li

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Kim, Rock li (김록리)

College of Health Sciences (Division of Health Policy and Management)

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India:26||child undernutrition:4||Wasting:4||multilevel modeling:4||Child health:4||Stunting:3||Underweight:3||multilevel:3||National Family Health Survey:3||geographic variation:3||low and middleincome countries:3||socioeconomic status:3||undernutrition:3||variation:3||inequalities:3||South Korea:3||Anthropometric failure:3||Population health:2||Violence against children:2||Child development:2||Union Territories:2||LMIC:2||geography:2||dietary diversity:2||Minimum Dietary Diversity:2||Treatment effect heterogeneity:2||diet:2||NFHS:2||Life expectancy:2||Food deprivation:2||States:2||child nutrition:2||stunting:2||Sustainable development goals (SDGs):2||Nutrition:2||health insurance:2||global health:2||Air pollution:2||child malnutrition:2||nutrition:2||anemia:2||Food group consumption:2||public health:2||epidemiology:2||nbsp:2||&amp:2||discrimination:2||Inequality:2||multilevel modelling:2||CRVS:1||Multilevel:1||polygenic score:1||Delinquency:1||Odds ratio:1||Birthweight:1||food groups:1||ICDS:1||Onset:1||NSS:1||critical periods:1||nutrition interventions:1||computer:1||media:1||sitting:1||mapping:1||Heterogeneity across countries:1||Ethiopia:1||Children under five:1||correlation analysis:1||Congressional district:1||Discrimination:1||Food policy:1||exercise:1||time use survey:1||Aspirational districts:1||Monitoring and evaluation:1||Social determinants of health (SDH):1||Older adults:1||chronic disease:1||healthcare avoidance and delay:1||Transgender:1||Substance use:1||Birth registration:1||body mass index:1||genetic:1||Fixed effects:1||political commitment:1||nutritional interventions:1||social factors:1||age:1||dietary factors:1||health protection:1||and middleincome countries:1||Infant mortality:1||Neonatal mortality:1||Demographic and Health Survey (DHS):1||Twin studies:1||vitamin A supplements:1||low birth weight:1||public policy:1||Food insecurity:1||Gender equality:1||Socioeconomic status:1||Selfharm:1||child anthropometric failures:1||underfive mortality:1||obesity:1||geopolitical units:1||international child health nutrition:1||Head start impact study:1||precision public policy:1||Low:1||Distribution of under5 deaths:1||Categories of anthropometric failure:1||low income countries:1||environment variables:1||small area variation:1||Food item consumption:1||Stillbirth:1||Zero hunger:1||Children:1||Modifiable risk factors:1||Asian:1||Access to healthcare:1||Anxiety:1||subSaharan Africa:1||connectedness to the LGBTQ plus community:1||Mental health:1||Prediction:1||Classification:1||antenatal care:1||childcare:1||underweight:1||Geographic Information System (GIS) mapping:1||low&#8208:1||income countries:1||Sustainable development goal:1||Noncommunicable diseases:1||Child malnutrition:1||Multilevel modeling:1||Child mortality:1||Unknown zygosity:1||Epidemiology:1||Longterm exposure:1||geographic precision:1||Minority stress:1||Anthropometric failure Wealth inequality Poorrich gap Risk factors India:1||Adult food consumption:1||situational avoidance:1||Family planning:1||women's empowerment:1||Childundernutrition:1||life expectancy:1||United States:1||GIS:1||Heterogeneity:1||Equityoriented:1||Duration of disease:1||food:1||sedentary:1||catastrophic spending:1||local governance:1||Low and middle income countries:1||Young lives:1||dietary intake:1||Lowand middleincome countries:1||child public health:1||Quantile regression:1||First 1000 days:1||maternal height:1||SDG 3:1||satellite big data:1||Variation:1||Child undernutrition:1||Nutrition inequality:1||Risk factors:1||Risk scores:1||age distribution:1||child health:1||Policy:1||Child diarrhea:1||Peer support:1||transgender:1||Physical health:1||child growth:1||nutritional needs assessment:1||infant and young child feeding practices:1||inequality:1||education infrastructures:1||social determinants of health:1||census:1||socio&#8208:1||caesarean:1||Childhood intervention:1||screen time:1||Social disparities:1||social determinants:1||maternal public health:1||Children under two:1||prevalence of stunting:1||spatial variations:1||Health inequity:1||Census Tracts:1||PM2.5 chemical composition:1||COVID19:1||ZeroFood:1||malnutrition:1||Cardiovascular diseases:1||mental health:1||transgender individuals:1||Suicidal behaviors:1||gender inequality:1||health care access:1||suicidal ideation:1||vigilance:1||Health data:1||Anemia:1||convergence:1||multisectoral interventions:1||assembly constituencies:1||TB elimination:1||economic factors:1||Child health intervention:1||Head start:1||Omitted level:1||Households:1||Comprehensive index of anthropometric failure:1||health policy:1||Heritability:1||Height:1||vitaminArich foods:1||Distributional effect:1||Head Start Impact Study:1||low and middleincome countries:1||Low and middleincome countries:1||Sleep:1||growth disorders:1||Unmet need:1||suicide attempt:1||Prevalence:1||Life course:1||Association:1||Mortality:1||regional variation:1||Heterogeneous effect:1||Social determinants:1||child mortality:1||sustainable development goals (SDGs):1||LGB:1||Social determinants of health:1||demography:1||state variation:1||nutrition policy:1||Indicators:1||diabetes mellitus:1||lifestyle:1||transgender people:1||Multiple discrimination:1||Gender minority:1||Depression:1||Perpetrator:1||Socioeconomic status:1||

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