Hubungan Tingkat Keteraturan Berolahraga Terhadap Komplikasi Penyakit pada Pasien DM Tipe 2 di Poliklinik Endokrin RSUP DR. M. Djamil Padang by Reza Ekatama Rajasa, Afriwardi ., Setia Budi Zein

“…</p><p><strong>Kata kunc</strong><strong>i:</strong> keteraturan berolahraga, komplikasi DM tipe 2</p><p><strong><em>Abstract</em></strong></p><p><em>There are many factors correlate </em><em>to </em><em>complications in  type </em><em>2</em><em> diabetes mellitus (DM) patients, one of them is exercise regularity. …”
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Cardiovascular risk and mortality in men receiving testosterone replacement therapy for Klinefelter syndrome in Denmark: a retrospective cohort studyResearch in context by Simon Chang, Lars Pedersen, Anne Skakkebæk, Agnethe Berglund, Claus H. Gravholt

“…Moller Foundation, Fonden af 17-12-1981, Danish Diabetes and Endocrine Academy, Novo Nordisk Foundation, the Independent Research Fund Denmark, Sygesikringen danmark.…”
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Prevalence of Depression and Sleep Disorders in Patients on Dialysis: A Cross-Sectional Study in Qatar by Fadwa Al-Ali, Mostafa Elshirbeny, Abdullah Hamad, Ahmad Kaddourah, Tarek Ghonimi, Rania Ibrahim, Tarek Fouda

“…Most of our dialysis patients had poor sleep, but it was more significant in the elderly group 109 (90%) than in the young group 103 (78%) (p=0.009). Patients with diabetes mellitus (DM) had significantly more prevalence of poor sleep (131 (88.5%)) than those without DM (81 (77.1%), p=0.01). …”
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Evaluating atherogenic index of plasma as a predictor for metabolic syndrome: a cross-sectional analysis from Northern Taiwan by Liang-Sien Chen, Liang-Sien Chen, Liang-Sien Chen, Liang-Sien Chen, Yu-Rui Chen, Yu-Rui Chen, Yi-Hsiu Lin, Yi-Hsiu Lin, Hung-Keng Wu, Hung-Keng Wu, Yan Wen Lee, Jau-Yuan Chen, Jau-Yuan Chen

“…Our study aimed to assess AIP), a ratio of triglycerides to high-density lipoprotein cholesterol, as a predictor of MetS.MethodBetween 2014 and 2018, our cross-sectional study collected and analyzed health examination data from 9,202 Northern Taiwan Medical Center employees without cardiovascular diseases, diabetes, and end-stage renal disease (ESRD). Our study classified AIP levels equally into three tertiles and evaluated their impact on MetS through a logistic regression model.ResultsAfter adjusting for age, gender, BMI, SBP, FPG, and LDL in our models, the ORs for MetS in the second and third tertiles of the AIP were 3.81 (95% CI: 2.33 to 6.21; OR: 37.14, 95%: 23.22 to 59.39). …”
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Revealing the limitations of 10-year MACE observations: 20-year observed total cardiovascular burden in the EPIC-Norfolk study by Frank LJ Visseren, Harald T Jorstad, Marjolein Snaterse, S Matthijs Boekholdt, Tinka J van Trier, Jannick AN Dorresteijn, Manon van den Bogaart, Wilma JM Scholte op Reimer, Ron JG Peters

“…Therefore, we aimed to quantify how well 10-year observed incidence reflects 20-year observed incidence and how MACE reflects total CVD events across demographic groups, using observations in long-term prospective data.Methods In individuals aged 40–79 without CVD or diabetes from the population-based EPIC-Norfolk cohort, we compared the first occurrence of 10 and 20 years (1) 3-point MACE events (non-fatal myocardial infarction+non-fatal stroke+fatal CVD) and (2) total CVD events (all non-fatal and fatal CVD events leading to hospitalisation), stratified by sex and age.Results Among 22 569 participants (57% women), incident 10-year and 20-year 3-point MACE was 5.3% and 15.5%, respectively, yielding 20/10 year ratios from 2.2 (in older men) to 4.5 (in younger women). …”
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Childhood BMI trajectories and sociodemographic factors in an Italian pediatric population by Erich Batzella, Joaquin Gutierrez de Rubalcava Doblas, Gloria Porcu, Silvia Bressan, Elisa Barbieri, Carlo Giaquinto, Anna Cantarutti, Cristina Canova

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Nicotine is associated with smoking dependence and vascular inflammation through cotinine: A mediation analysis by Kumboyono Kumboyono, Indah N. Chomsy, Nadya N. Shalshabilla, Hidayat Sujuti, Arie Srihardyastutie, Cholid T. Tjahjono, Teuku Heriansyah, Titin A. Wihastuti

“…All participants were men aged 20–40 years with no history of cardiovascular disease, diabetes mellitus, or dyslipidemia, and were not currently on medication. …”
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Beneficial Effect of Fenofibrate in Combination with Silymarin on Parameters of Hereditary Hypertriglyceridemia-Induced Disorders in an Animal Model of Metabolic Syndrome by Jan Soukop, Ludmila Kazdová, Martina Hüttl, Hana Malínská, Irena Marková, Olena Oliyarnyk, Denisa Miklánková, Soňa Gurská, Zuzana Rácová, Martin Poruba, Rostislav Večeřa

“…<b>Background:</b> Hypertriglyceridemia has serious health risks such as cardiovascular disease, type 2 diabetes mellitus, nephropathy, and others. Fenofibrate is an effective hypolipidemic drug, but its benefits for ameliorating disorders associated with hypertriglyceridemia failed to be proven in clinical trials. …”
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Prevalence of Bacterial Urinary Tract Infections and Associated Factors among Patients Attending Hospitals in Bushenyi District, Uganda by Martin Odoki, Adamu Almustapha Aliero, Julius Tibyangye, Josephat Nyabayo Maniga, Eddie Wampande, Charles Drago Kato, Ezera Agwu, Joel Bazira

“…Screening for UTI in hospitalized patients, female gender, married individuals, genitourinary tract abnormalities, indwelling catheter, and diabetics should be adopted.…”
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Anxiety, depression, and their association with unintentional injury risk among older adult populations in Guangxi, China: a cross-sectional study by Li Niu, Jie Zhang, Chun-liu Lu, Yong Zhang, Xin-xin Mo, Rong Xu, Hong-ye Luo

“…Other factors such as age, marital status, hypertension, diabetes, and main caregiver showed no significant associations with UI.ConclusionAddressing mental health issues and promoting moderate exercise may help reduce UI risk in the older adult. …”
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Joint association of sleep patterns and oxidative balance score with all-cause and cardiovascular mortality among the general population by Chen Chen, Hanzhang Wu, Hanzhang Wu, Hongyu Jin, Zhiping Jiang, Wei Wang, Xiao Tan, Xiao Tan, Wen-Yang Li

“…Furthermore, stratified analysis highlighted that this joint effect was more prominent among individuals without hypertension or diabetes; more notable for all-cause mortality in younger individuals and for CVD mortality in the elderly.ConclusionWe identified a significant interaction between sleep patterns and OBS affecting all-cause mortality. …”
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Prevalence of complications and comorbidities associated with obesity: a health insurance claims analysis by Jay P. Bae, David R. Nelson, Kristina S. Boye, Kieren J. Mather

“…Disorders such as obstructive sleep apnea, osteoarthritis, type 2 diabetes, metabolic dysfunction-associated steatotic liver disease, coronary heart diseases (CHD), and chronic kidney diseases also exhibited substantial burden among those with obesity. …”
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Associations between neutrophil percentage to albumin ratio and rheumatoid arthritis versus osteoarthritis: a comprehensive analysis utilizing the NHANES database by Wenquan Ding, Rui La, Shenghao Wang, Zhiyuan He, Dinghua Jiang, Zhigang Zhang, Hao Ni, Wu Xu, Lixin Huang, Qian Wu, Qian Wu

“…This association was remarkably consistent across subgroups by age, sex, body mass index (BMI), alcohol consumption, hypertension, diabetes, and smoking status. Further analyses using curve fitting and threshold effect models revealed a nonlinear association between NPAR and RA, with an inflection point identified at 15.56.ConclusionHigh levels of NPAR is positively associated with the prevalence of RA. …”
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Creatinine- and Cystatin C-Based Incidence of Chronic Kidney Disease and Acute Kidney Disease in AKI Survivors by Claire Rimes-Stigare, Bo Ravn, Akil Awad, Klara Torlén, Claes-Roland Martling, Matteo Bottai, Johan Mårtensson, Max Bell

“…Age, discharge cystatin C, CRRT on ICU, and diabetes were associated with cystatin C-based CKD. …”
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Calidad de la atención médica a pacientes con infarto agudo del miocardio. Cienfuegos 2013 by Hilda María Delgado Acosta, Perla Yamila González Orihuela, Sonia Monteagudo Díaz, Julia Hernández Carlsen, Alexander Leiva García, Wilmia Saavedra Marques

“…<br /> <strong>Resultados:</strong> predominó el sexo masculino en la serie de estudio y los factores de riesgo más frecuentes fueron: la hipertensión en un 50 %, tabaquismo en un 45 % y diabetes mellitus en un 25 %. Se detectaron dificultades con el completamiento de recursos humanos médicos y de enfermería en cuerpo de guardia y sala de cardiología, respectivamente. …”
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Satisfied with the worst health outcomes or unsatisfied with the best: explaining the divergence between good patient-reported outcomes and low satisfaction and vice versa among kn... by Lukas Schöner, Viktoria Steinbeck, Reinhard Busse, Carlos J. Marques

“…Comorbidities of blood circulation, chronic back pain or diabetes increased the likelihood of being a Dissatisfied Achiever, while depression decreased the likelihood of being a Satisfied Non-Achiever. …”
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Insulin resistance compromises midbrain organoid neuronal activity and metabolic efficiency predisposing to Parkinson’s disease pathology by Alise Zagare, Janis Kurlovics, Catarina Almeida, Daniele Ferrante, Daniela Frangenberg, Armelle Vitali, Gemma Gomez-Giro, Christian Jäger, Paul Antony, Rashi Halder, Rejko Krüger, Enrico Glaab, Egils Stalidzans, Giuseppe Arena, Jens C Schwamborn

“…Growing evidence indicates that type 2 diabetes (T2D) is associated with an increased risk of developing Parkinson’s disease (PD) through shared disease mechanisms. …”
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Ictus en pacientes geriátricos ingresados en una sala de cuidados intermedios de medicina by Rafael Venegas Rodríguez, Wilfredo Hernández Pedroso, Daily Chacón Montano, Ricardo González Mesana, Raúl Santana Sánchez, Efraín Chibás Ponce

“…La hipertensión arterial, la enfermedad cerebrovascular previa y la diabetes mellitus, fueron los antecedentes más frecuentes. …”
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Elevated Platelet‐to‐Lymphocyte Ratio as a Predictor of All‐Cause and Cardiovascular Mortality in Hypertensive Individuals by Rui Xu, Ling Chen, Changshun Yan, Hong Xu, Guiqiu Cao

“…Cox proportional hazards regression models assessed the independent association of PLR with mortality risk, with adjustments incrementally applied: Model 1 without adjustments; Model 2 adjusted for age and sex; Model 3 adjusted further for age, gender, race, marital status, diabetes, alcohol intake, smoking status, body mass index (BMI), history of cardiovascular disease (CVD), high‐density lipoprotein cholesterol (HDL), low‐density lipoprotein cholesterol (LDL), total cholesterol (TC), triglyceride (TG), and creatinine (CR). …”
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Association between normal weight obesity and comorbidities and events of cardiovascular diseases among adults in South China. by Miaomiao Ma, Deliang Lv, Xiaobing Wu, Yuqing Chen, Shimiao Dai, Yutian Luo, Hui Yang, Wei Xie, Fengzhu Xie, Qinggang Shang, Ziyang Zhang, Zhiguang Zhao, Ji-Chang Zhou

“…The cardiovascular comorbidities being studied were abdominal obesity (AO), diabetes, hypertension, dyslipidemia, metabolic syndrome, and chronic kidney disease, while the CVD events were occurrences of myocardial infarction and strokes. …”
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