Incidence of Type 2 Diabetes in Children With Nonalcoholic Fatty Liver Disease

Crimmins, Nancy A.; Garner, Donna; Hertel, Paula M.; Lawson, Alicia; Pham, Yen; Triggs, Nicole; Bramlage, Kristin; Carr, April; McNeill, Meghan; Mouzaki, Marialena; Xanthakos, Stavra A.; Alazraki, Adina; Cleeton, Rebecca; Cordero, María; Karpen, Saul J.; Vos, Miriam B.; Carr, Laura; Cummings, Oscar W.; Harlow, Kathryn E.; Klipsch, Ann; Molleston, Jean P.; Morlan, Wendy; Ragozzino, Emily; Sawyers, Cindy; Anthony, A. W.; Fishbein, Mark; Cattoor, Theresa; Freebersyser, Janet; Jain, Ajay K.; Torretta, Susan; Behling, Cynthia; Durelle, Janis; Goyal, Nidhi; Newton, Kimberly P.; Schwimmer, Jeffrey B.; Ugalde‐Nicalo, Patricia; Wang, Andrew; Blondet, Niviann; Cooper, Kara; Otto, Randolph K.; Yeh, Matthew M.; Young, Melissa; Kleiner, David E.; Doo, Edward; Hall, Sherry; Hoofnagle, Jay H.; Sherker, Averell H.; Torrance, Rebecca; Robuck, Patricia R.; Adamo, Peggy; Belt, Patricia; Clark, Jeanne M.; Meinert, Jill; Miriel, Laura; Shade, Carrie; Sharkey, Emily P.; Smith, J. P.; Smith, Michael L.; Sternberg, Alice L.; Tonascia, ScM; James; Natta, Mark L. Van; Wagoner, Annette; Wilson, Laura; Woreta, Tinsay A.; Yates, Katherine P.; Dodge, J A; Donithan, Michele; Isaacson, Milana

doi:10.1016/j.cgh.2022.05.028

Cited by 13 publications

(5 citation statements)

References 34 publications

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“…[9] Another explanation could be a longer temporal lag in incident type 2 diabetes, which may not emerge until years after the development of NAFLD in children. [10] Notably, male adolescents had lower type 2 diabetes prevalence, but a higher prevalence of NAFLD, compared with female adolescents, which again underscores the complex relationship between these conditions, and suggests potential sex-specific differences in susceptibility. Longer term follow-up of youth with NAFLD will be critically important to determine associated hepatic and nonhepatic clinical outcomes.…”

mentioning

confidence: 88%

“…However, a recent study calls this into question, finding no significant differences in the distribution of body fat depots associated with metabolic disease in adult cohorts of diverse ethnic descent 9 . Another explanation could be a longer temporal lag in incident type 2 diabetes, which may not emerge until years after the development of NAFLD in children 10 . Notably, male adolescents had lower type 2 diabetes prevalence, but a higher prevalence of NAFLD, compared with female adolescents, which again underscores the complex relationship between these conditions, and suggests potential sex-specific differences in susceptibility.…”

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confidence: 99%

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Rising tide of NAFLD in youth: A warning bell and call to action

Xanthakos

2023

Hepatology

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confidence: 88%

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confidence: 99%

Rising tide of NAFLD in youth: A warning bell and call to action

Xanthakos

2023

Hepatology

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“…18 In addition, children with NAFLD are at potentially higher risk for developing T2DM and dyslipidemia. 19 As metabolically unhealthy children will grow up into cardiometabolic ill adults when they get older, NAFLD screening measures should already be implemented in the pediatric population (e.g., school entry medical examination programs) to mitigate the incoming wave of young multimorbid NAFLD patients.…”

Section: Abbreviationsmentioning

confidence: 99%

Screening strategies for non-alcoholic fatty liver disease: a holistic approach is needed

Kasper¹,

Demir²,

Steffen³

2023

Clin Mol Hepatol

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“…Liver disease causes significant mortality worldwide, and its prevalence varies across regions, indicating differences in susceptibility [ 1 ]. Previous studies have consistently found strong associations between liver disease and comorbidity such as obesity [ 2 ], type 2 diabetes [ 3 , 4 ], and dyslipidemia [ 5 ]. This comorbidity occurs when two or more diseases are present in the same individual [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

The regional disparities in liver disease comorbidity among elderly Chinese based on a health ecological model: the China Health and Retirement Longitudinal Study

Gong,

Lin,

et al. 2024

BMC Public Health

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Purpose This study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model. Method Basic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes. Results Among the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were "liver-heart-metabolic", "liver-kidney", "liver-lung", and "liver-stomach-arthritic". In the eastern region, important combination patterns included "liver disease-metabolic disease", "liver disease-stomach disease", and "liver disease-arthritis", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included "liver disease-heart disease", "liver disease-metabolic disease", and "liver disease-kidney disease", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were "liver disease-chronic lung disease", "liver disease-stomach disease", "liver disease-heart disease", and "liver disease-arthritis", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities. Conclusion The comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.

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Incidence of Type 2 Diabetes in Children With Nonalcoholic Fatty Liver Disease

Cited by 13 publications

References 34 publications

Rising tide of NAFLD in youth: A warning bell and call to action

Rising tide of NAFLD in youth: A warning bell and call to action

Screening strategies for non-alcoholic fatty liver disease: a holistic approach is needed

The regional disparities in liver disease comorbidity among elderly Chinese based on a health ecological model: the China Health and Retirement Longitudinal Study

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