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Dinko Kranjac

Biographic Data

ID151802
NAMEDinko Kranjac
GIVEN NAMESDinko
FAMILY NAMEKranjac
SIGNATUREKRANJAC D
AFFILIATIONSUniversity of La Verne
ORCID0000-0001-5002-6151
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Obesity Heterogeneity by Neighborhood Context in a Largely Latinx Sample

    Open Access•Ashley W Kranjac, Dinko Kranjac et al.•ARTICLE•Journal of Racial and Ethnic…•2024•References: 70

    Neighborhood socioeconomic context where Latinx children live may influence body weight status. Los Angeles County and Orange County of Southern California both are on the list of the top ten counties with the largest Latinx population in the USA. This heterogeneity allowed us to estimate differential impacts of neighborhood environment on children's body mass index z-scores by race/ethnicity using novel methods and a rich data source. We geocode…

  • Deconstructing sex differences in C‐reactive protein trends over time

    Open Access•Ashley W Kranjac, Dinko Kranjac et al.•ARTICLE•American Journal of Human Biology•2022

    OBJECTIVES: Heightened inflammatory state, as measured by circulating C-reactive protein (CRP) levels, can promote inflammation-mediated disease risk. It is important to account for population fluctuation and sex variation in serum CRP concentrations on overall time trends. METHODS: Using the National Health and Nutrition Examination Survey data, we specify linear and algebraic decomposition models separately by sex to identify the drivers of the…

  • Child obesity moderates the association between poverty and academic achievement

    Open Access•Ashley W Kranjac, Dinko Kranjac•ARTICLE•Psychology in the Schools•2021

    Childhood overweight and obesity are major public health problems in the United States. Children who experience poverty are 1.5 times more likely to suffer with overweight and 1.6 times more likely to have obesity. The extent to which overweight or obesity exacerbates the negative influence of socioeconomic inequality on child academic outcomes has not yet been examined. We estimated the effect of poverty on math and reading achievement trajector…

No prominent works on this page.

  • Child obesity moderates the association between poverty and academic achievement

    Open Access•Ashley W Kranjac, Dinko Kranjac•ARTICLE•Psychology in the Schools•2021

    Childhood overweight and obesity are major public health problems in the United States. Children who experience poverty are 1.5 times more likely to suffer with overweight and 1.6 times more likely to have obesity. The extent to which overweight or obesity exacerbates the negative influence of socioeconomic inequality on child academic outcomes has not yet been examined. We estimated the effect of poverty on math and reading achievement trajector…

  • Deconstructing sex differences in C‐reactive protein trends over time

    Open Access•Ashley W Kranjac, Dinko Kranjac et al.•ARTICLE•American Journal of Human Biology•2022

    OBJECTIVES: Heightened inflammatory state, as measured by circulating C-reactive protein (CRP) levels, can promote inflammation-mediated disease risk. It is important to account for population fluctuation and sex variation in serum CRP concentrations on overall time trends. METHODS: Using the National Health and Nutrition Examination Survey data, we specify linear and algebraic decomposition models separately by sex to identify the drivers of the…

  • Obesity Heterogeneity by Neighborhood Context in a Largely Latinx Sample

    Open Access•Ashley W Kranjac, Dinko Kranjac et al.•ARTICLE•Journal of Racial and Ethnic…•2024•References: 70

    Neighborhood socioeconomic context where Latinx children live may influence body weight status. Los Angeles County and Orange County of Southern California both are on the list of the top ten counties with the largest Latinx population in the USA. This heterogeneity allowed us to estimate differential impacts of neighborhood environment on children's body mass index z-scores by race/ethnicity using novel methods and a rich data source. We geocode…

Medicine (3 works) · Population (3 works) · Socioeconomic status (3 works) · Demography (2 works) · Gerontology (2 works) · Obesity (2 works) · Obesity, Physical Activity, Diet (2 works) · Academic achievement (1 works) · Adipokines, Inflammation, and Metabolic Diseases (1 works) · Association (psychology) (1 works)

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