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Metabolic Risk/Epidemiology
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Trends in Metabolically Unhealthy Obesity by Age, Sex, Race/Ethnicity, and Income among United States Adults, 1999 to 2018
Wen Zeng, Weijiao Zhou, Junlan Pu, Juan Li, Xiao Hu, Yuanrong Yao, Shaomei Shang
Diabetes Metab J. 2025;49(3):475-484.   Published online February 25, 2025
DOI: https://doi.org/10.4093/dmj.2024.0364
  • 5,231 View
  • 195 Download
  • 5 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018.
Methods
We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO.
Results
The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups.
Conclusion
This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Citations

Citations to this article as recorded by  
  • Repercussions of racial, gender, and class inequities on food and nutrition conditions: Implications for public health
    Tatiana Palotta Minari
    Nutrition.2026; 142: 112995.     CrossRef
  • Addressing the Persistent Increase and Inequities in Metabolically Unhealthy Obesity: Toward an Understanding of Clinical Obesity
    Young Sang Lyu, Sang Yong Kim
    Diabetes & Metabolism Journal.2025; 49(3): 405.     CrossRef
  • Liver and obesity: a narrative review
    Amedeo Lonardo, Ralf Weiskirchen
    Exploration of Medicine.2025;[Epub]     CrossRef
  • Cost-effectiveness of Endoscopic Sleeve Gastroplasty for Obesity: Sufficient Evidence Supporting a Higher Utilization?
    JIANRONG ZHANG
    Techniques and Innovations in Gastrointestinal Endoscopy.2025; 27(4): 250933.     CrossRef
  • Anthropometric Obesity Phenotypes in Young Physically Active Men: The Role of Body Composition and Fat Distribution
    Agnieszka Wasiluk, Jerzy Saczuk, Ryszard Asienkiewicz
    Life.2025; 15(12): 1808.     CrossRef
  • Residual cholesterol inflammatory index and its prognostic role in mortality among individuals with cardiovascular–kidney–metabolic syndrome stages 0–3 based on U.S. and Chinese national cohorts
    Shouxin Wei, Sijia Yu, Chuan Qian, Zhengwen Xu, Yindong Jia
    European Journal of Medical Research.2025;[Epub]     CrossRef
  • Cross-national comparison of metabolic syndrome prevalence and related medication use in South Korea and the United States, 2007–2020: Evidence from KHANES and NHANES
    Hajung Joo, Eunchae Lee, Juyeong Kim, Seohyun Hong, Jinyoung Jeong, Jaehyun Kong, Yoon Lee, Hyunjee Kim, Lee Smith, Ho Geol Woo, Dong Keon Yon
    Medicine.2025; 104(50): e46484.     CrossRef
Lifestyle
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Enhancing Diabetes Care through a Mobile Application: A Randomized Clinical Trial on Integrating Physical and Mental Health among Disadvantaged Individuals
Jae Hyun Bae, Eun Hee Park, Hae Kyung Lee, Kun Ho Yoon, Kyu Chang Won, Hyun Mi Kim, Sin Gon Kim
Diabetes Metab J. 2024;48(4):790-801.   Published online February 2, 2024
DOI: https://doi.org/10.4093/dmj.2023.0298
  • 7,260 View
  • 371 Download
  • 7 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study examines integrating physical and mental healthcare for disadvantaged persons with type 2 diabetes mellitus and mild-to-moderate depression in the community, using a mobile application within a public-private-academic partnership.
Methods
The Korean Diabetes Association has developed a mobile application combining behavioral activation for psychological well-being and diabetes self-management, with conventional medical therapy. Participants were randomly assigned to receive the application with usual care or only usual care. Primary outcomes measured changes in psychological status and diabetes selfmanagement through questionnaires at week 12 from the baseline. Secondary outcomes assessed glycemic and lipid control, with psychological assessments at week 16.
Results
Thirty-nine of 73 participants completed the study (20 and 19 in the intervention and control groups, respectively) and were included in the analysis. At week 12, the intervention group showed significant reductions in depression severity and perceived stress compared to the control group. Additionally, they reported increased perceived social support and demonstrated improved diabetes self-care behavior. These positive effects persisted through week 16, with the added benefit of reduced anxiety. While fasting glucose levels in the intervention group tended to improve, no other significant differences were observed in laboratory assessments between the groups.
Conclusion
This study provides compelling evidence for the potential efficacy of a mobile application that integrates physical and mental health components to address depressive symptoms and enhance diabetes self-management in disadvantaged individuals with type 2 diabetes mellitus and depression. Further research involving larger and more diverse populations is warranted to validate these findings and solidify their implications.

Citations

Citations to this article as recorded by  
  • Effectiveness of online social support interventions for psychological distress: A three-level meta-analysis of randomized controlled trials
    Rui Li, Xinyi Liu, Siyao Jia, Lizu Lai, Xiaopeng Lu, Qian Xiong, Weixin Cheng, Sihan Liu, Ruowen Xu, Yanqi Chen, Jiao Li, Zhihong Ren
    Journal of Affective Disorders.2026; 393: 120297.     CrossRef
  • Social determinants of health and type 2 diabetes in Asia
    Kyunghun Sung, Seung‐Hwan Lee
    Journal of Diabetes Investigation.2025; 16(6): 971.     CrossRef
  • 2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
    Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
    Diabetes & Metabolism Journal.2025; 49(4): 582.     CrossRef
  • Analyzing public–private partnerships in the social economy framework: a bibliometric perspective
    Eduard Xavier Montesinos-Sansaloni, Domingo Ribeiro-Soriano, Dolores Botella-Carrubi
    Review of Managerial Science.2025;[Epub]     CrossRef
  • A three‐level meta‐analysis of the effects of online social support interventions on psychological well‐being outcomes
    Xinyi Liu, Rui Li, Lizu Lai, Xiaopeng Lu, Siyao Jia, Qian Xiong, Weixin Cheng, Ruowen Xu, Yanqi Chen, Jiao Li, Yuyi Zhang, Yunhui Zhong, Mingchun Guo, Zhihong Ren
    Applied Psychology: Health and Well-Being.2025;[Epub]     CrossRef
  • Tele–Cognitive Behavioral Therapy for the Treatment of Diabetes-Related Distress in Individuals With Diabetes Mellitus: Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Xiaohong Xu, Fang Wang, Shunqi Liao, Jingxian Liu, Lingyi Xiao
    Journal of Medical Internet Research.2025; 27: e80476.     CrossRef

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