scholarly journals Feline obesity: risk factors and clinical and metabolic findings

2021 ◽  
Vol 42 (6) ◽  
pp. 3305-3320
Author(s):  
Camila Moura de Lima ◽  
◽  
Gustavo Antônio Boff ◽  
Sergiane Baes Pereira ◽  
Alexsander Ferraz ◽  
...  

Excess body fat can cause a series of metabolic and mechanical effects on the body. Therefore, this study aimed to verify the clinical, metabolic, and risk factors of overweight (OW) cats. For the acceptance of participation in the research, the tutors were asked to answer a questionnaire containing 34 questions and to point out the body condition score (BCS) on a sheet containing nine images of different scores (1 to 9 on a 9-point scale). Thereafter, the body evaluations were performed as a classification of the BCS on a scale from 1 to 9, with an ideal score (IS) of BCS 5 and OW for BCS > 5. Further, the lean mass index and morphometric measurements (thoracic and abdominal circumferences and height and length of the patella to calcaneal tuberosity) were performed to estimate the percentage of body fat. Systolic blood pressure was measured using the non-invasive Doppler method and blood was collected for hemogram and serum biochemistry (creatinine, urea, alanine aminotransferase, alkaline phosphatase, gamma-glutamyl transferase, glucose, triglycerides, and cholesterol). After these analyses, we sought to guide and raise the awareness of the tutors to promote the correct nutritional and environmental management of the animals. Thirty adult cats were divided into two groups, based on the classification of the BCS, with eight having an IS and 22 being OW. The OW group was found to have a low level of physical activity, hypercholesterolemia, and higher values of body characteristics. Additionally, there was a median agreement between the perceptions of the clinician and the tutors. Therefore, it was concluded that the main laboratory alteration found in the obese cats was hypercholesterolemia, which was a critical parameter. It was observed that a low degree of physical activity could cause excess weight gain. It was found that the guardians of the cats with ideal weight underestimated the BCS, which could contribute to the supply of excess food and consequently, obesity. Thus, this study was sought to guide and raise the awareness of tutors, to promote the correct nutritional and environmental management thereby providing welfare and quality of life to the animals.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanxia Gao ◽  
Liwen Liu ◽  
Tiegang Li ◽  
Ding Yuan ◽  
Yibo Wang ◽  
...  

AbstractTo identify risk factors and develop a simple model to predict early prognosis of acute paraquat (PQ) poisoning patients, we performed a retrospective cohort study of acute PQ poisoning patients (n = 1199). Patients (n = 913) with PQ poisoning from 2011 to 2018 were randomly divided into training (n = 609) and test (n = 304) samples. Another two independent cohorts were used as validation samples for a different time (n = 207) and site (n = 79). Risk factors were identified using a logistic model with Markov Chain Monte Carlo (MCMC) simulation and further evaluated using a latent class analysis. The prediction score was developed based on the training sample and was evaluated using the testing and validation samples. Eight factors, including age, ingestion volume, creatine kinase-MB [CK-MB], platelet [PLT], white blood cell [WBC], neutrophil counts [N], gamma-glutamyl transferase [GGT], and serum creatinine [Cr] were identified as independent risk indicators of in-hospital death events. The risk model had C statistics of 0.895 (95% CI 0.855–0.928), 0.891 (95% CI 0.848–0.932), and 0.829 (95% CI 0.455–1.000), and predictive ranges of 4.6–98.2%, 2.3–94.9%, and 0–12.5% for the test, validation_time, and validation_site samples, respectively. In the training sample, the risk model classified 18.4%, 59.9%, and 21.7% of patients into the high-, average-, and low-risk groups, with corresponding probabilities of 0.985, 0.365, and 0.03 for in-hospital death events. We developed and evaluated a simple risk model to predict the prognosis of patients with acute PQ poisoning. This risk scoring system could be helpful for identifying high-risk patients and reducing mortality due to PQ poisoning.


2013 ◽  
Vol 81 (3) ◽  
pp. 356-362 ◽  
Author(s):  
Zhe-Qing Zhang ◽  
Yan-Hua Liu ◽  
Ying Xu ◽  
Xiao-Wei Dai ◽  
Wen-hua Ling ◽  
...  

Author(s):  
Amit Kumar Meena ◽  
Sonali Sharma ◽  
Barkha Gupta ◽  
Asrar Ahmed

Introduction: The increased prevalence of overweight, obesity, and metabolic syndrome has revealed that liver enzymes have a potential role as determinants of metabolic conditions such as, hyperlipidemia, and Cardiovascular Disease (CVD). Aim: The study aimed to investigate the correlation between liver enzymes with anthropometric indices of obesity and lipid profile in different obese phenotypes at a tertiary care. Materials and Methods: The present observational study was conducted on a total of 180 obese participants of either gender in the age group 18-59 years from December 2018 to May 2019. These were further divided into two phenotypic groups viz., Metabolically Healthy Obese (MHO group; n=90) and Metabolically Unhealthy Obese (MUHO group; n=90) according to NCEP ATP III criteria.Traditional cardiovascular risk factors were evaluated in the study participants through anthropometric viz., Body Mass Index (BMI), Waist Circumference (WC), Hip Circumference (HC), waist–hip ratio (WHR), blood pressure and biochemical investigations i.e., serum glucose, lipid profile and liver enzymes. Data was analysed by using Microsoft excel software. Results: Among 180 obese participants, 76 were males and 104 females with mean age 40.42±10.84 years. In MUHO phenotype, Gamma Glutamyl Transferase (GGT) showed a strong positive correlation with BMI (r=0.413, p=0.00001), lipid parameters viz., LDL-C (r=0.3785, p=0.0001), TC (r=0.2953, p=0.0023), TG (r=0.2623, p=0.006) and negative correlation with HDL-C (-r=0.3167, p=0.001). No significant correlation was found in MHO phenotype between liver enzymes, BMI and lipid profile parameters. Conclusion: The results of this study indicated that GGT shows a strong positive correlation with traditional risk factors in MUHO participants. Thus, raised GGT may be considered as a risk marker of CVD in MUHO phenotype.


2021 ◽  
Author(s):  
Zhifeng Zhao ◽  
Jiayun Lin ◽  
Xiaochun Ni ◽  
Hongjie Li ◽  
Lei Zheng ◽  
...  

Abstract Backgrounds: The ratio of gamma-glutamyl transferase (GGT) to alanine aminotransferase (ALT) is a predictive biomarker for hepatitis and hepatocellular carcinoma (HCC). In this study, the relationship between GGT/ALT ratio and vascular invasion was explored in hepatitis B virus (HBV)-related HCC and tumor prognosis. Methods: Totally 558 patients were involved in this study. Univariate and multivariate logistic analysis were used to evaluate GGT/ALT as the risk factor of vascular invasion. Prognostic value of GGT/ALT was investigated by univariate and multivariate Cox analysis combined with Kaplan Meier curves. In order to reduce confounding bias, subgroup analysis and propensity score matching (PSM) were performed. Results: Patients were divided into high and low GGT/ALT groups with an optimal cut-off value of 2.95 in predicting vascular invasion. In univariate and multivariate logistic regression, high GGT/ALT group was listed as the independent risk factors for vascular invasion(P=0.03), the other risk factors included age (P=0.001), α-fetoprotein (AFP) (P=0.026), tumor size (P<0.001), tumor capsule (P=0.018), pathological differentiation (P<0.001) and Barcelona Clinic Liver Cancer (BCLC) classification (P<0.001). In survival analysis, high GGT/ALT ratio was associated with decreased overall survival (OS) (HR: 1.38; 95% CI: 1.03, 1.87; P<0.0001) and disease-free survival (DFS) rates (HR: 1.32; 95% CI: 1.03, 1.87; P<0.0001). In sensitivity analysis, comparable results were furtherly confirmed by subgroup analysis. In PSM analysis, GGT/ALT was still associated with vascular invasion independently (OR, 186; 95% CI, 1.23, 3.33). Conclusion: Preoperative GGT/ALT has good predictive value for vascular invasion, tumor severity and outcome in HBV-related HCC patients.


2017 ◽  
Vol 6 (4) ◽  
pp. 268
Author(s):  
Famimah Famimah ◽  
Ani Margawati ◽  
Deny Yudi Fitranti

Background: Dysmenorrhea or menstrual pain was a gynecological complaint due to an imbalance of progesterone in the blood resulting in pain. A woman with dysmenorrhea should consume food rich in omega-3 fatty acids such as fish oil, fish (salmon, tuna, mackerel, herring), soybeans and fruits. Low fish consumption was related with severity of dysmenorrhea. In addition, physical activity and percent body fat were also associated with severity of dysmenorrhea.Objective : To determine the correlation between consumption of omega-3 fatty acids, physical activity and percent body fat to the classification of dysmenorrhea in adolescents.Methods : Cross sectional study of 90 adolescentsselected by purposive sampling. This research was conducted in SMA N 15 and SMA N 9 Semarang. Menstrual history was measured by direct interviews and level of dysmenorrhea was measured using Numerical Rating Scale Questionnaire. Omega-3 fatty acids were measured using Food Frequency Questionnaire (FFQ) and analyzed using a nutritional software program. Physical activity was measured using A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Percent body fat was measured using Bioelectrical Impedance Analysis (BIA). Data were analyzed by Independent T test/Mann Whitney. Result : There were significant correlation in omega-3 fatty acid (p= 0,015), and percent body fat (p= 0,026). While in physical activity there was no significant correlation (p= 0,394).Conclusion : Consumption of omega-3 fatty acids and percent body fat were associated with the classification of dysmenorrhea.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Andrea L Christman ◽  
Mariana Lazo ◽  
Chiadi E Ndumele ◽  
James Pankow ◽  
Josef Coresh ◽  
...  

Introduction: Liver disease and diabetes often co-occur and have shared risk factors. We undertook this study to investigate which liver enzyme (alanine aminotransferase (ALT), aspartate aminotransferase (AST), or gamma-glutamyl transferase (GGT)) would be most strongly associated with incident diabetes in a large, community-based population. Hypothesis: We hypothesized that ALT, AST, and GGT would be independently associated with diabetes and that ALT would be most strongly associated with diabetes due to its liver specificity. Methods: We conducted a prospective analysis of 9,524 participants in the ARIC Study without diagnosed diabetes or a history of high alcohol consumption (>14 [women] and >21 [men] drinks/week). Enzymes were measured from stored plasma samples. We examined the association of sex-specific quartiles of liver enzymes with incident diagnosed diabetes using Cox proportional hazards models adjusted for demographic, lifestyle, and behavioral risk factors. Restricted cubic spline models were fit to model the continuous associations. Results: Median ALT, AST, and GGT were 13, 18, and 22 U/L, respectively. During a median follow-up of 11 years, there were 1,905 self-reported cases of diabetes. All three liver enzymes were significantly associated with diabetes, even after adjustment for all covariates (HRs (95% CIs): ALT, 1.63 (1.44, 1.85); AST, 1.23 (1.09, 1.40); GGT, 1.99 (1.71, 2.30) comparing Q4 versus Q1). The restricted cubic spline models show similar patterns (Figure). After simultaneously adjustment for the other liver enzymes, only ALT and GGT remained significantly associated with diabetes. In analyses further restricted to participants who reported never consuming alcohol only GGT remained significant. Conclusion: In this community-based population, GGT was more strongly associated with diabetes risk than ALT and AST. Although ALT and AST are considered to be more specific markers of liver disease, higher levels of GGT may be a more important risk factor for diabetes.


Animals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 360 ◽  
Author(s):  
Arvind Sharma ◽  
Clive J. C. Phillips

The sheltering of old, unproductive and abandoned cows in traditional cow shelters, known as gaushalas, has been practiced in India since ancient times. Cows are kept in these shelters until they die of natural causes. The welfare of the cows in these shelters was assessed through a cross-sectional study of 54 cow shelters in six states of India. A total of 1620 cows were examined to assess the prevalence of lameness in these cows, and the associated risk factors for lameness were identified through the measurement of animal-based and resource-based welfare indicators. The overall lameness prevalence was 4.2%. The majority (86%) had mild to moderate hock joint swellings but no or only mild carpal joint injuries. Approximately one-half had mild to moderate hock joint hair loss and most were free of hock joint ulcerations. Claw overgrowth was present in almost one half of the cows. Lameness prevalence was positively correlated with coat dirtiness, hock and carpal joint lesions, diarrhea and claw overgrowth scores. In a multivariate analysis, lameness prevalence increased as the Body Condition Score (BCS) decreased and was associated with increased udder dirtiness, the ulceration of the hock joint, carpal joint injuries and claw overgrowth. Resource-based indicators measured at the shelter level suggested that an absence of bedding in the sheds and an increase in the gradient of the shed flooring increased lameness. Addressing the principle risk factors identified for lameness in the sheltered cows (low body condition, dirty udders, lesions on the hock and carpal joints, overgrown claws, and a steep floor gradient) may help to reduce this serious animal welfare problem.


2020 ◽  
Vol 3 (2) ◽  
pp. 337-343
Author(s):  
Helfrida Situmorang

The irreversible risk factors for osteoporosis are age, gender, race, family / hereditary history, body shape and history of fractures. The risk factors for osteoporosis that can be changed are smoking, vitamin and nutritional deficiencies, lifestyle, eating disorders (anorexia nervosa), early menopause, and the use of certain drugs such as corticosteroids, glucocorticosteroids, and diuretics. The purpose of this study was to determine the factors associated with the incidence of osteoporosis. The research design used was non-experimental, namely a correlational research design, namely research conducted to determine the relationship between two variables. The population in this study were all osteoporosis patients with age. over 45 years old who seek treatment at the Puskesmas Gunting Saga Kec. Kualuh Selatan District of North Labuhan Batu totaling 45 people. The sampling method used was the total sampling technique, which was the same as the population of 45 people. Data collection used is the method of filling out a questionnaire which includes written questions used to obtain data information from the questionnaire. The data analysis conducted was univariate analysis and bivariate analysis. In this study, researchers still adhere to ethical principles. The results illustrate that the respondents are mostly 51-65 years old as many as 27 people (60%). Most of the sex of respondents were women as many as 37 people (82.2 %%). Most of the respondents had no history of osteoporosis as many as 31 people (68.9%). Most of the body mass index of respondents whose body mass index was over 34 people (75.6%). Most of the respondents in the smoking category did not smoke as many as 32 people (71.7%). Most of the respondents' physical activity in the category of independent physical activity was 38 people (84.4%). The conclusion is that there is no relationship between age, sex, family history, body mass index, and smoking with the incidence of osteoporosis. Meanwhile, physical activity has a relationshipwithosteoporosis.   Abstrak Faktor-faktor resiko osteoporosis yang tidak dapat diubah yaitu usia, jenis kelamin, ras, riwayat keluarga/keturunan, bentuk tubuh dan sejarah patah tulang. Faktor–faktor resiko osteoporosis yang dapat diubah adalah merokok, defisiensi vitamin dan gizi, gaya hidup, gangguan makan (anoreksia nervosa), menopause dini, serta penggunaan obat-obatan tertentu seperti kortikosteroid, glukokortikosteroid, serta diuretik. Tujuan penelitian ini adalah untuk mengetahui mengetahui faktor-faktor yang berhubungan dengan kejadian osteoporosis Rancangan penelitian yang digunakan adalah non eksperimen yaitu rancangan atau desain penelitian yang bersifat korelasional yaitu penelitian yang dilakukan untuk mengetahui hubungan dua variabel.Populasi dalam penelitian ini adalah semua pasien osteoporosis dengan usia diatas 45 tahun yang berobat di Puskesmas Gunting Saga Kec. Kualuh Selatan Kab Labuhan Batu Utara berjumlah 45 orang.Metode pengambilan sampel yang digunakan dengan teknik total sampling yaitu sama dengan populasi adalah sebanyak 45 orang. Pengumpulan data yang digunakan yaitu metode pengisian kuesioner yang meliputi pertanyaan tertulis yang digunakan untuk memperoleh informasidata dari kuesioner.Analisa data yang dilakukan adalah analisis univariat dan analisis bivariat. Dalam penelitian ini peneliti tetap berpedoman pada prinsip-prinsip etik.Hasil penelitian menggambarkan bahwa responden sebagian besar berumur 51-65 tahun sebanyak 27 orang (60%). Jenis kelamin responden sebagian besar wanita sebanyak  37 orang (82.2%%).Riwayat keluarga responden sebagian besar berstatus tidak ada riwayat osteoporosis sebanyak 31 orang (68.9%).Indeks masa tubuh responden sebagian besar Indeks masa tubuh lebih sebanyak 34 orang (75.6%).Merokok responden sebagian besar kategori tidak merokok sebanyak 32 orang (71.7%).Aktivitas fisik responden sebagian besar kategori aktivitas fisik mandiri sebanyak 38 orang (84.4%).Kesimpulan bahwa tidak ada hubungan umur, jeniskelamin, riwayat keluarga,indeks massa tubuh,dan merokok dengan kejadian osteoporosis. Sedangkan aktivitas fisikada hubungan dengan kejadian osteoporosis.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Putu Denny Tanaya ◽  
Emillia Devi D.Rianti

Obesity is excess weight as a result of stockpiling body fat excessive and could happen to all citizen including on children. The cause of obesity that one of them caused by the imbalance between intake of nutrients with physical activity that is playing. Good physical activity, the body metabolic processes will make the children walk with a maximum intake of calories that can be obtained from food directly in use in both by the body. The aim of this research is to determine the relationship between the obese on 9 to 12 years old kids are playing with a pattern. From the graph is used for children and teenager to define obesity using the Center for Disease Control and Prevention (CDC). Method used by persentil graph body mass index (bmi to age 2 to 20 years in the male and female). Analytic research is the correlation with spearman. The result of research shows that there is no correlation between obesity with a pattern of the activity of playing on children aged 9 to 12 years. Because the value of a correlation coefficient (0.053 > 0.025). It is also avidenced by the result of a coefficient that marked negative and having meaning the absence of correlation ( - 0.209 ). Of the result we can conclude that there are a lot of the main factor in addition to the activity of playing that can cause a child suffering from obesity including genetic factor, and the pattern of hormonal feeding on such a child.


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