Casey M. Rebholz

Dr. Casey M. Rebholz

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 February 2024 in BMJ
Verified
Journal Article
Open access
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MLMelissa Morgan Lane
Melissa Morgan Lane
EGElizabeth Gamage
Elizabeth Gamage
SDShutong Du
Shutong Du
DADeborah N. Ashthree
Deborah N. Ashthree
AMAmelia McGuinness
Amelia McGuinness
WMWolfgang Marx
Wolfgang Marx
Objective To evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes. Design Systematic umbrella review of existing meta-analyses. Data sources MEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manual searches of reference lists from 2009 to June 2023. Eligibility criteria for selecting studies Systematic reviews and meta-analyses of cohort, case-control, and/or cross sectional study designs. To evaluate the credibility of evidence, pre-specified evidence classification criteria were applied, graded as convincing (“class I”), highly suggestive (“class II”), suggestive (“class III”), weak (“class IV”), or no evidence (“class V”). The quality of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework, categorised as “high,” “moderate,” “low,” or “very low” quality. Results The search identified 45 unique pooled analyses, including 13 dose-response associations and 32 non-dose-response associations (n=9 888 373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health parameters spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal, and metabolic health outcomes. Based on the pre-specified evidence classification criteria, convincing evidence (class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease related mortality (risk ratio 1.50, 95% confidence interval 1.37 to 1.63; GRADE=very low) and type 2 diabetes (dose-response risk ratio 1.12, 1.11 to 1.13; moderate), as well as higher risks of prevalent anxiety outcomes (odds ratio 1.48, 1.37 to 1.59; low) and combined common mental disorder outcomes (odds ratio 1.53, 1.43 to 1.63; low). Highly suggestive (class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all cause mortality (risk ratio 1.21, 1.15 to 1.27; low), heart disease related mortality (hazard ratio 1.66, 1.51 to 1.84; low), type 2 diabetes (odds ratio 1.40, 1.23 to 1.59; very low), and depressive outcomes (hazard ratio 1.22, 1.16 to 1.28; low), together with higher risks of prevalent adverse sleep related outcomes (odds ratio 1.41, 1.24 to 1.61; low), wheezing (risk ratio 1.40, 1.27 to 1.55; low), and obesity (odds ratio 1.55, 1.36 to 1.77; low). Of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (class III-IV) and 13 were graded as no evidence (class V). Overall, using the GRADE framework, 22 pooled analyses were rated as low quality, with 19 rated as very low quality and four rated as moderate quality. Conclusions Greater exposure to ultra-processed food was associated with a higher risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to develop and evaluate the effectiveness of using population based and public health measures to target and reduce dietary exposure to ultra-processed foods for improved human health. They also inform and provide support for urgent mechanistic research. Systematic review registration PROSPERO CRD42023412732.

20 August 2019 in Journal of the American Heart Association
Verified
Journal Article
Open access
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HKHyunju Kim
Hyunju Kim
LCLaura E. Caulfield
Laura E. Caulfield
VGVanessa Garcia‐Larsen
Vanessa Garcia‐Larsen
LSLyn Steffen
Lyn Steffen
JCJosef Coresh
Josef Coresh
CRCasey M. Rebholz
Casey M. Rebholz
Background: Previous studies have documented the cardiometabolic health benefits of plant‐based diets; however, these studies were conducted in selected study populations that had narrow generalizability. Methods and Results: We used data from a community‐based cohort of middle‐aged adults (n=12 168) in the ARIC (Atherosclerosis Risk in Communities) study who were followed up from 1987 through 2016. Participants’ diet was classified using 4 diet indexes. In the overall plant‐based diet index and provegetarian diet index, higher intakes of all or selected plant foods received higher scores; in the healthy plant‐based diet index, higher intakes of only the healthy plant foods received higher scores; in the less healthy plant‐based diet index, higher intakes of only the less healthy plant foods received higher scores. In all indexes, higher intakes of animal foods received lower scores. Results from Cox proportional hazards models showed that participants in the highest versus lowest quintile for adherence to overall plant‐based diet index or provegetarian diet had a 16%, 31% to 32%, and 18% to 25% lower risk of cardiovascular disease, cardiovascular disease mortality, and all‐cause mortality, respectively, after adjusting for important confounders (all P <0.05 for trend). Higher adherence to a healthy plant‐based diet index was associated with a 19% and 11% lower risk of cardiovascular disease mortality and all‐cause mortality, respectively, but not incident cardiovascular disease ( P <0.05 for trend). No associations were observed between the less healthy plant‐based diet index and the outcomes. Conclusions: Diets higher in plant foods and lower in animal foods were associated with a lower risk of cardiovascular morbidity and mortality in a general population.

1 December 2016 in American Journal of Kidney Diseases
Verified
Journal Article
Closed access
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CRCasey M. Rebholz
Casey M. Rebholz
DCDeidra C. Crews
Deidra C. Crews
MGMorgan E. Grams
Morgan E. Grams
LSLyn Steffen
Lyn Steffen
ALAndrew S. Levey
Andrew S. Levey
JCJosef Coresh
Josef Coresh

21 February 2019 in Public Health Nutrition
Verified
Journal Article
Closed access
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HKHyunju Kim
Hyunju Kim
EHEmily A Hu
Emily A Hu
CRCasey M. Rebholz
Casey M. Rebholz
Objective: To evaluate the association between ultra-processed food intake and all-cause mortality and CVD mortality in a nationally representative sample of US adults.Design: Prospective analyses of reported frequency of ultra-processed food intake in 1988–1994 and all-cause mortality and CVD mortality through 2011.Setting: The Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994).Participants: Adults aged ≥20 years (n11898).Results: Over a median follow-up of 19 years, individuals in the highest quartile of frequency of ultra-processed food intake (e.g. sugar-sweetened or artificially sweetened beverages, sweetened milk, sausage or other reconstructed meats, sweetened cereals, confectionery, desserts) had a 31% higher risk of all-cause mortality, after adjusting for demographic and socio-economic confounders and health behaviours (adjusted hazard ratio=1·31; 95% CI 1·09, 1·58;P-trend = 0·001). No association with CVD mortality was observed (P-trend=0·86).Conclusions: Higher frequency of ultra-processed food intake was associated with higher risk of all-cause mortality in a representative sample of US adults. More longitudinal studies with dietary data reflecting the modern food supply are needed to confirm our results.

1 July 2017 in Journal of Renal Nutrition
Verified
Journal Article
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BHBernhard Haring
Bernhard Haring
ESElizabeth Selvin
Elizabeth Selvin
MLMenglu Liang
Menglu Liang
JCJosef Coresh
Josef Coresh
MGMorgan E. Grams
Morgan E. Grams
CRCasey M. Rebholz
Casey M. Rebholz

5 August 2020 in American Journal of Kidney Diseases
Verified
Journal Article
Closed access
EHEmily A. Hu
Emily A. Hu
JCJosef Coresh
Josef Coresh
CACheryl A.M. Anderson
Cheryl A.M. Anderson
LALawrence J. Appel
Lawrence J. Appel
MGMorgan E. Grams
Morgan E. Grams
RTRaymond R. Townsend
Raymond R. Townsend