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Obesity is a risk factor for many diseases, diagnosed by calculating body mass index (BMI). To find an association between BMI and mortality in adults, we searched PubMed for articles published in the 21st century. Our review included 82 original studies, comprising 2.7 million patients and 23.4 million patient years. The meta-analysis showed a U-shaped relationship between BMI and all-cause mortality risk, with the lowest mortality in the BMI range of 25-30 kg/m. Subgroup analysis showed a J-shaped relationship, with greater risk in the highest BMI range (>35 kg/m). Among the elderly, BMI values <20 kg/m were associated with the highest risk. Among diabetic patients, a U-shaped relationship was noticed, again with the highest risk in the lowest (<20 kg/m) and highest BMI range (>35 kg/m). Among patients with cardiovascular disease, the risk increased with BMI values <25 kg/m but did not noticeably change for BMI exceeding that value. Among cancer patients, the relationship was less pronounced than in other subgroups, with a slightly higher risk (>35 kg/m). Our results show that the lowest mortality is observed among patients with BMI 25-30 kg/m. Reduction of body mass should not be a universal recommendation in clinical practice, but it should be individualized.
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http://dx.doi.org/10.3390/jcm13082305 | DOI Listing |
Future Sci OA
December 2025
Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Background: Smoking induces inflammation in the heart and intima layer of blood vessels by activating nuclear factor kappa B, which controls the transcription of immunoglobulin free light chain (FLC)-κ. FLC levels are indicative of higher mortality in the overall population and poorer prognoses in cardiovascular diseases. This study aimed to analyze the effect of smoking cessation (SC) on the levels of FLCs and markers of inflammation and heart failure.
View Article and Find Full Text PDFNutr Rev
September 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran 1417613151, Iran.
Context: Cardiovascular protective properties of berries have been reported in numerous studies. Berries and their bioactive compounds may also be effective for improving body composition and anthropometric indices.
Objective: This systematic review and meta-analysis were aimed to investigate the effect of berries on anthropometric markers.
Int J Obes (Lond)
September 2025
Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Objectives: This study investigated the cost-effectiveness of an early childhood obesity prevention intervention providing telephone and short message service (SMS) support to mothers of children aged 2-4 years by socioeconomic position (SEP).
Methods: A model-based SEP-specific economic evaluation of the intervention was conducted. SEP-specific intervention costs and effects at age 5 years were derived from the trial data and applied to a cohort of 4- to 5-year-old Australian children.
Int J Obes (Lond)
September 2025
Mater Hospital, Brisbane, QLD, Australia.
Background: Obesity is an important public health issue. Virtual reality provides an opportunity to increase benefits of traditional exercise programs with more immersive, interactive, and enjoyable experiences for weight control.
Objectives: This study aimed to explore the efficacy of virtual reality-enhanced exergames for obesity-related outcomes, including body weight, body mass index, body fat, and waist circumference.
Int J Obes (Lond)
September 2025
Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Objective: To systematically evaluate the association between anthropometric parameter and myopia in children and adolescents.
Methods: PubMed, Web of Science, EBSCO, Embase, CNKI, CBM, WanFang Data, and VIP databases were searched from inception to June, 2025. We collected cross-sectional studies on the association between anthropometric parameter and myopia in children and adolescents aged 0-25 years, including body mass index (BMI) and weight-adjusted waist index (WWI).