Overweight versus Obese: Different Risk and Different Management

Barnes, Ann Smith

doi:10.14503/thij-15-5096

Cited by 10 publications

(6 citation statements)

References 6 publications

(7 reference statements)

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“…In contrast, our study revealed that symptoms such as obesity, delayed healing, and genital thrush were not linked to the diabetes status of middle-aged adults. This contradicts previous research that established a strong association between T2D and obesity [35–37]. For instance, a 2011 study by Barness [37] found a significant increase in the risk of diabetes among overweight and obese women, with overweight women facing a 28-fold risk and obese women an astonishing 93-fold risk compared to normal-weight women.…”

Section: Discussionmentioning

confidence: 74%

“…This contradicts previous research that established a strong association between T2D and obesity [35–37]. For instance, a 2011 study by Barness [37] found a significant increase in the risk of diabetes among overweight and obese women, with overweight women facing a 28-fold risk and obese women an astonishing 93-fold risk compared to normal-weight women. The reasons for these discrepancies between our study’s findings and existing research are not entirely clear.…”

Section: Discussionmentioning

confidence: 74%

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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach

Addo,

Yeboah,

Obuobi

et al. 2023

Preprint

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BackgroundDiabetes is a serious and progressive medical condition demanding efficient diagnostic methods, especially since its associated symptoms overlap with the symptoms of other medical conditions. While various studies have explored early detection of diabetes across different age groups, there is a notable gap in specific attention to middle-aged adults. This study explicitly focused on this demographic, aiming to assess associations between symptoms and diabetes status, investigate the relevance and relative influence of certain symptomatic and demographic features in the prediction of diabetes, and identify the most efficient machine learning (ML) model for predicting diabetes.MethodsUtilizing a dataset from a previous study conducted in the Sylhet Diabetes Hospital in Bangladesh, India, comprising 520 participants, including both diabetic and non-diabetic patients, we extracted and analyzed demographic and symptom-related information from 296 middle-aged adults aged from 40 to 60 years. Employing chi-square tests, we evaluated symptom-diabetes associations, while utilizing the Boruta algorithm to investigate symptom importance and influence. Seven ML models namely, K-Nearest Neighbor (KNN), Naïve Bayes (NB) classifier, Support Vector Machines with linear, polynomial, and radial basis function kernels, Random Forest (RF) classifier, and Logistic Regression were then assessed for optimal predictive performance.ResultsOut of the 296 participants of this study, 179 (60%) were diabetic. Significant associations were found between diabetes status in middle-aged adults and symptoms such as polyuria, polydipsia, weakness, sudden weight loss, partial paresis, polyphagia, and visual blurring, as confirmed by the p-values of their respective chi-square tests. All features studied, including demographics and symptoms, were confirmed as relevant for predicting diabetes in middle-aged adults. Notably, polyuria, polydipsia, gender, alopecia, irritability, and sudden weight loss were identified as the most influential features. Among the seven ML models, RF showed the highest sensitivity (98.59%), while KNN excelled in specificity (97.83%). RF demonstrated the best accuracy (96.58%) and area under the curve score (96.00%), making it the most efficient ML model for predicting diabetes among middle-aged adults.ConclusionThe findings of this study emphasize the importance of using diabetes-related symptoms for early detection of diabetes within the middle-aged adult population. The RF model demonstrated robust diagnostic capabilities, emphasizing its potential in predicting diabetes in middle-aged adults. Further exploration of genetic, lifestyle, and environmental factors is warranted to enhance the understanding and diagnostic accuracy in this demographic.

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Section: Discussionmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 74%

Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach

Addo,

Yeboah,

Obuobi

et al. 2023

Preprint

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“…Встановлено, що пацієнти з есенціальною артеріальною гіпертензією, поєднаною з ожирінням чи надлишковою масою тіла, характеризувалися порушенням функції нирок, зі зниженням швидкості клубочкової фільтрації, вищими рівнями сечової кислоти, креатиніну, дисліпідемією, вищим вмістом С-реактивного протеїну, як показника системного запалення. За умов поєднання есенціальної артеріальної гіпертензії з ожирінням спостерігалися істотно вищі, ніж за умов надлишкової маси тіла, рівні сечової кислоти (364,1[284,1;446,0] проти 290, 5[207,6;337,9] мкмоль/л, р=0,0001), Среактивного протеїну (2,35 Встановлено, що у пацієнтів з есенціальною артеріальною гіпертензією та ожирінням вміст лептину був вищим, ніж за умов надлишковою масою тіла. В жінок як за умов надлишковою масою тіла, так і ожирінням, лептин перевищував значення чоловіків, в яких він залежав від маси тіла.…”

Section: клінічна медицинаunclassified

“…Установлено, что пациенты с эссенциальной артериальной гипертензией, в сочетании с ожирением или избыточной массой тела, характеризовались нарушением функции почек, со снижением скорости клубочковой фильтрации, высшими уровнями мочевой кислоты, креатинина, дислипидемией, высшим содержанием С-реактивного протеина, как показателя системного воспаления. При сочетании эссенциальной артериальной гипертензией с ожирением были более высокими, чем при избыточной массой тела, уровни мочевой кислоты (364,1[284,1;446,0] против 290, 5[207,6;337,9] мкмоль/л, р=0,0001), С-реактивного протеина (2,35 9[285,5;366,3] мкмоль/л, p=0,007), что сопровождалось дислипидемией; у женщин с ожирением более высокий уровень урикемии…”

Section: клінічна медицинаunclassified

Peculiarities of Metabolic Factors of Cardiovascular Risk in Essential Hypertension Patients depending on Body Weight and Gender

Bek¹,

Radchenko²,

Olenych³

2020

Ukr. ž. med. bìol. sportu

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The article presents the results of the study on the features of metabolic factors of cardiovascular risk in patients with essential arterial hypertension depending on body weight and gender.Material and methods. The study included 103 essential arterial hypertension patients and 55 patients in the comparison and control groups. In addition to the general examination prescribed by order No. 436, the survey included also anthropometry, testing the levels of uric acid in serum and leptin, and lipidogram.Results and discussion. The study results showed that in general, patients with essential arterial hypertension had it combined with obesity or overweight presented with impaired renal function, with a decrease in the glomerular filtration rate, which was accompanied by higher levels of uric acid and creatinine, dyslipidaemia and higher levels of C-reactive protein as an indicator of systemic inflammation. In particular, in case of essential arterial hypertension combined with obesity, there were observed significantly higher levels of uric acid and Creactive protein and proatherogenic dyslipidaemia, in contrast to overweight. Certain gender differences were found: men had higher levels of triglycerides and very low density lipoprotein cholesterol and lower levels of high density lipoprotein cholesterol than women, which caused an increase in the atherogenic index. Both dyslipidaemia and hyperuricemia were more commonly observed in men, who had better kidney function than women.Regardless of gender, in case of obesity, higher levels of uricemia were diagnosed as compared to overweight. In men it was accompanied by dyslipidaemia; in women with obesity, higher uricemia was accompanied by a decrease in glomerular filtration rate and an increase in C-reactive protein levels. We found direct correlations between uric acid and PSA levels and anthropometric indicators (body weight, body mass index, waist and thigh circumferences) both in men and in women with obesity. We also revealed a direct correlation of uric acid with C-reactive protein and creatinine and an inverse correlation with glomerular filtration rate.Conclusion. The obtained results proved that in patients with essential arterial hypertension and obesity, leptin levels were higher than in the case of overweight. In women, both in terms of overweight and obesity, leptin levels exceeded the values in men in whom it depended on the body weight. We observed direct significant associations of leptin levels with uric acid and C-reactive protein in women.

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“…O besity is a medical condition with excess body fat accumulation to the extent which leads to serious health consequences. Obesity contributes to the genesis of many metabolic disorders, including dyslipidemia, 1 coronary heart disease (CHD), 2 nonalcoholic fatty liver, 3 type 2 diabetes, 4 etc. In 2017 WHO reported that global obesity has almost tripled since 1975.…”

mentioning

confidence: 99%

Discovery of Natural Product Derived Labdane Appended Triazoles as Potent Pancreatic Lipase Inhibitors

Jalaja

Leela

Valmiki

et al. 2018

ACS Med. Chem. Lett.

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Obesity contributes to the genesis of many metabolic disorders including dyslipidemia, coronary heart disease (CHD), nonalcoholic fatty liver, type 2 diabetes, etc. Pancreatic lipase plays a vital role in food fat digestion and absorption. Therefore, to control obesity, inhibition of pancreatic lipase is the active therapy. Thus, novel natural product derived labdane appended triazoles with pancreatic lipase inhibition potential were designed and synthesized. Among these hybrids, and exhibited excellent inhibitory activity (IC 0.75 ± 0.02 μM and 0.77 ± 0.01 μM), slightly better than that of the positive control Orlistat (IC 0.8 ± 0.03 μM). Compounds ,, and - inhibited the PL comparable to that of positive control. Interestingly none of the compounds showed cytotoxicity (Hep G2) in the concentration range from 0.5 to 100 μM. Overall results reveal the potential of labdane appended triazoles as antiobesity agents.

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Overweight versus Obese: Different Risk and Different Management

Cited by 10 publications

References 6 publications

Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach

Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach

Peculiarities of Metabolic Factors of Cardiovascular Risk in Essential Hypertension Patients depending on Body Weight and Gender

Discovery of Natural Product Derived Labdane Appended Triazoles as Potent Pancreatic Lipase Inhibitors

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