High prevalence of low bone mineral density in middle-aged adults in Shanghai: a cross-sectional study by Qian Chen, Dan Liu, Xuefei Li, Fangfang Li, Suxia Guo, Shiyun Wang, Weina Yuan, Pinghua Chen, Pan Li, Fangyu Li, Changwei Zhao, Wen Min, Zhijun Hu

“…Mann-Whitney U and Chi-square test were used to compare sex, age and body mass index at different stages of bone mass, and Pearson test was used to conduct correlation analysis. …”
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Characterization of Modifiable Risk Factors for Colorectal Cancer by Imandra María García Méndez, Alexander Benavides Couto, Yaima Arrechea Betancourt, Claudia Beatriz Surí García, Fernando de la Mora Martín

“…The consumption of fruits and vegetables was very low without differences between both sexes. The risk body mass index predominated with a slight superiority in the female sex; there was a high degree of physical inactivity.…”
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A Trend for Increased Risk of Revision Surgery due to Deep Infection following Fast-Track Hip Arthroplasty by Einar Amlie, Anners Lerdal, Caryl L. Gay, Øystein Høvik, Lars Nordsletten, Sigbjørn Dimmen

“…Risk of infection-related revision surgery was unrelated to body mass index, physical status, surgery duration, length of hospital stay, and prosthesis type. …”
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Prevalence and distribution of hypertension and related risk factors in Jilin Province, China 2015: a cross-sectional study by Bin Liu, Wei Sun, Junduo Wu, Tianyi Li, Xianjing Song, Yangyu Zhang, Yingyu Liu, Longbo Li, Yunpeng Yu, Yihang Liu, Chao Qi

“…The modifiable factors that were associated with hypertension were body mass index, smoking and alcohol drinking. The risk factors identified are similar to those in southern China, except smoking, which has no association with hypertension prevalence in the South.Conclusions Age, sex, body mass index, smoking and alcohol drinking were risk factors of hypertension. …”
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Association between Monocyte to High-Density Lipoprotein Cholesterol Ratio and Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study by Hangkai Huang, Qinqiu Wang, Xiaoying Shi, Yishu Chen, Chao Shen, Juanwen Zhang, Chengfu Xu

“…In multivariate logistic regression analysis, MHR was positively associated with the risk of NAFLD after adjusting age, gender, body mass index, waist circumference, diastolic blood pressure, alanine aminotransferase, triglyceride, total cholesterol, fasting plasma glucose, and serum uric acid (OR: 1.026, 95% CI: 1.002–1.052; P=0.037). …”
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Causal linkage between adult height and kidney function: An integrated population-scale observational analysis and Mendelian randomization study. by Sehoon Park, Soojin Lee, Yaerim Kim, Yeonhee Lee, Min Woo Kang, Kwangsoo Kim, Yong Chul Kim, Seung Seok Han, Hajeong Lee, Jung Pyo Lee, Kwon Wook Joo, Chun Soo Lim, Yon Su Kim, Dong Ki Kim

“…In conclusion, the results of this study suggest that a taller adult height is causally linked to worse kidney function in middle-aged to elderly individuals, independent of the effect of body mass index.…”
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Profile of maladaptive and normative eating behaviors in correlation with rumination: a cross-sectional study among Lebanese adults by Emmanuelle Awad, Diana Malaeb, Mirna Fawaz, Lara Youssef, Anna Brytek-Matera, Souheil Hallit, Sahar Obeid

“…Conclusions The current research demonstrated a relationship between Body Mass Index, physical activity, rumination, and maladaptive eating patterns including restriction of food intake, dieting, and orthorexia nervosa. …”
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Global Burden of Esophageal Cancer and Its Risk Factors: A Systematic Analysis of the Global Burden of Disease Study 2019 by Irena Ilic, Ivana Zivanovic Macuzic, Ana Ravic-Nikolic, Milena Ilic, Vesna Milicic

“…The global proportion of DALYs for esophageal cancer attributable to selected behavioral, metabolic, and dietary risk factors was similar in males and females: chewing tobacco (3.8% vs. 5.1%), diet low in fruits (10.1% vs. 12.6%), diet low in vegetables (3.3% vs. 4.6%), and high body mass index (18.8% vs. 19.3%). However, the proportion of DALYs for esophageal cancer attributable to smoking and alcohol use was 4–5 times higher in males than in females (50.1% vs. 11.3%, and 29.6% vs. 5.1%, respectively). …”
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Anthropometric Changes in the Brazilian Cohort of Older Adults: SABE Survey (Health, Well-Being, and Aging) by Manuela Ferreira de Almeida, Maria de Fátima Nunes Marucci, Luís Alberto Gobbo, Luciana Silva Ferreira, Daiana Aparecida Quintiliano Scarpelli Dourado, Yeda Aparecida de Oliveira Duarte, Maria Lucia Lebrão

“…Except for body mass and body mass index, a significant difference (P<0.05) was observed among the assessed anthropometric variables during the follow-up period. …”
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Effects of twelve-week aerobic exercise on selected health-related physical fitness variables on Gonji preparatory school male students by Abdurahman Esleman, Bizuneh Yirga Geberemariam, Wondiye Aychiluhim

“…Experimental and control groups had taken pre and post-test cardiorespiratory fitness, body composition, muscular endurance, muscular strength, and flexibility measured using cooper test, three-minute step test, using body mass index formula, siting tuck, chin up and sit & reach test respectively. …”
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Effect of Obesity-Linked FTO rs9939609 Variant on Physical Activity and Dietary Patterns in Physically Active Men and Women by Nathan R. West, James Dorling, Alice E. Thackray, Nicola C. Hanson, Samantha E. Decombel, David J. Stensel, Stuart J. Grice

“…Sex, age, and anthropometric measurements (stature, body mass, and waist circumference) were self-reported using an online questionnaire, and body mass index and waist-to-height ratio were calculated. …”
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Comparison of 8 Weeks of Selected TRX Training and Weight Training on Improving Motor Function and Chronic Nonspecific Back Pain in Women Aged 35 to 55 by Fatemeh Rezaei

“…Methods Thirty female patients with chronic nonspecific back pain, who were willing to participate in the study, were selected and divided into two groups: weight training (Age: 44.20 ± 7.46 years, Height: 1.65 ± 0.03 m, Weight: 58.60 ± 3.69 kg, Body Mass Index: 21.38 ± 1.76 kg/m²) and TRX (Age: 47.26 ± 5.86 years, Height: 1.66 ± 0.02 m, Weight: 56.13 ± 4.40 kg, Body Mass Index: 20.18 ± 1.32 kg/m²). …”
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Association between Modifiable Risk Factors and Arterial Hypertension in Adolescents from Moa by Alexander Torres Molina

“…The following variables were analyzed: body mass index, abdominal circumference index, night sleep, hours of sedentary activity and weekly frequency of junk food. …”
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Gender-related Therapeutical Response to Apremilast: New Insights in a Tailored Management of Psoriasis by Emanuele Trovato, Federico Bardazzi, Vito Di Lernia, Monica Corazza, Claudia Lasagni, Francesca Prignano

“…The effects of apremilast on weight and body mass index (BMI) according to gender after 24 weeks and 48 weeks of therapy were considered. …”
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Comorbidities reduce survival and quality of life in COPD with severe lung hyperinflation by Else A.M.D. ter Haar, Dirk-Jan Slebos, Karin Klooster, Simon D. Pouwels, Jorine E. Hartman

“…Appropriate treatment of treatable traits, including anxiety, low body mass index and pulmonary arterial hypertension, could lead to a survival benefit and improvement in QoL in this specific patient population.…”
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Obesity Status and Colorectal Cancer Screening in the United States by Karima A. Kendall, Euni Lee, Ilene H. Zuckerman, Linda Simoni-Wastila, Marlon Daniel, Pauline M. Green, Beatrice Adderley-Kelly, Anthony K. Wutoh

“…Almost 38% of the beneficiaries had a body mass index level equivalent to overweight (25 ≤ BMI < 30). …”
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Combining Body Mass and Shape Indices in Clinical Practice by Jesse C. Krakauer, Nir Y. Krakauer

“…We present preliminary clinical experience with combined consideration of the commonly used BMI (body mass index) and the newly developed ABSI (a body shape index) using a point of care anthropometric calculator for comparisons of index values and associated relative risks to population normals. …”
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Serum biomarkers in the metabolic dysfunction-associated steatotic liver fibrosis diagnosis in children by Yu.M. Stepanov, N.Yu. Zavhorodnia, I.A. Klenina, O.M. Tatarchuk, O.P. Petishko

“…If the body mass index exceeded two Z-score, obesity was diagnosed. …”
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Prevalence and risk factors of gestational diabetes mellitus among pregnant women in northern Vietnam: a cross-sectional study by Hieu Minh Le, Thi Ai Nguyen, Dang Kien Nguyen, Ditte Søndergaard Linde, Ib Christian Bygbjerg, Jens Søndergaard, Thanh Duc Nguyen, Bay Quang Nguyen, Ngoc-Anh Thi Dang, Xuan Bai Nguyen, Dan W. Meyrowitsch, Christina A. Vinter, Tine M. Gammeltoft, Vibeke Rasch

“…Advanced maternal age, high pregestational body mass index, family history of diabetes, and previous GDM were associated with increased risk of GDM. …”
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Long-Term Prospective Study of the Influence of Estrone Levels on Events in Postmenopausal Women with or at High Risk for Coronary Artery Disease by Antonio de Padua Mansur, Tereza Cristina B. F. Silva, Julio Yoshio Takada, Solange Desirée Avakian, Célia Maria C. Strunz, Luiz Antonio Machado César, José Mendes Aldrighi, José Antonio F. Ramires

“…Cox multivariate regression analysis model adjusted for body mass index, diabetes, dyslipidemia, family history, and estrone showed estrone (OR=0.45; P=0.038) as the only independent variable for all-cause mortality. …”
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