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Background and objective Even though obesity is a major global health concern, few studies in the literature have discussed obesity in the workplace. In light of this, we aimed to explore obesity in the workplace and its contributing factors. Methodology An online survey was distributed via official work emails. The survey assessed demographic variables and work environment-related factors, such as physical and mental well-being, lack of time, and social and personal habits. The total sample included 380 full-time employees, of which 16.67% were excluded for not meeting the inclusion criteria. Data were analyzed by using descriptive and inferential statistics. Results Of note, 79.87% of the participants reported an increase in weight after getting employed. The average weight gain was 10.4 kg for 8.2 years of experience. The physical and mental items and time-related items had the highest average scores of 3.24 and 3.44, respectively. The multivariable logistic regression showed a significant association between work experience (p = 0.0259) and time (p = 0.0363), as well as physical and mental domains (p = 0.0007). Conclusions Based on our findings, greater work experience, a lack of time, and negative mental and physical well-being are risk factors for weight gain among employees.
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BACKGROUND: Although obesity and T2DM comorbidity is too frequent, the molecular basis of diabetic obesity is largely unexplained and barely investigated. MATERIALS: Cross-sectional studies were conducted in Kingdom of Saudi Arabia (KSA) in 2013 and Kuwait in 2019. Fasting blood samples were obtained from a total of 216 T2DM patients (104 from KSA) and 193 nondiabetic subjects (93 from KSA) after their consents. Eight SNPs in 5 genes known to be associated with both obesity and T2DM, ghrelin (GHRL) and growth hormone secretagogue receptor -GHSR (KSA) and telomeres maintenance genes (Kuwait) were genotyped by rtPCR. Both patients and controls were grouped into obese and non-obese and sub-grouped into 4-BMI- grades: normal, overweight (OW), obese (OBS) and severely obese (SOBS). RESULTS: Showed that the only SNP which was distinguished between all groups/subgroups in all study subjects was the ACYP2 rs6713088G/C, where the common CC genotype was under-expressed in the obese compared to non-obese diabetics (17.8% vs. 40.4%, p 0.01) and between the 4-BMI-grade (p 0.025). Interestingly the same genotype was over-expressed in obese compared to non-obese non-diabetics (50% vs. 27.6%, p 0.04). Furthermore, the GHRL (rs27647C/T), GHSR (rs509030G/C) and TERC (rs12696304G/C) MAFs were significantly low in normal BMI patients; p=0.034, 0.008 and 0.011, respectively. CONCLUSIONS: This is the first report about the molecular distinction between the obese and non-obese diabetics, it showed the association of rs6713088G/C mutant allele with diabetic obesity, while the GHRL, GHSR and TERC SNPs were differentially expressed based on the BMI-grades.
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Diabetes Mellitus Tipo 2 , Receptores de Grelina , Hidrolases Anidrido Ácido/genética , Proteínas de Transporte , Estudos Transversais , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/genética , Grelina/genética , Humanos , Obesidade/complicações , Obesidade/genética , Polimorfismo de Nucleotídeo Único , Receptores de Grelina/genética , Telômero/genéticaRESUMO
Type 2 diabetes (T2D) is associated with obesity whereas loss of weight is a feature of the disease; however, the two states are not mutually exclusive. Obesity is linked with changes in hormonal activity and overall body metabolism. MATERIALS AND METHODS: In this study, 408 T2D patients were recruited in three distinct studies conducted in Bahrain, Saudi Arabia, and Kuwait in three different intervals between 2001 and 2019. In addition to demographics, glycemic and lipid profiles were obtained in all studies, whereas plasma insulin and HOMA-IR, vitamin D, and ghrelin were analyzed in Saudi Arabia. Different techniques such as chemical auto-analyzer, ELISA, chemiluminescent immunoassay, radioimmunoassay were used. RESULTS: The obese (BMI ≥ 30 kg/m2) compared with nonobese (BMI 18.5 to <30) patients with diabetes were more likely to be women (P < 0.001), smaller in age (P = 0.028), and with shorter disease duration (P = 0.018). Unexpectedly, the glycemic and lipid profiles were consistently comparable between the two groups in the three sites. Furthermore, vitamin D was strikingly lower in obese patients with diabetes (P = 0.007). Finally, plasma ghrelin (P = 0.163), insulin (P = 0.063), and HOMA-IR (P = 0.166) were comparable between obese and nonobese patients with diabetes. CONCLUSION: Diabetic obesity was significantly associated with female sex, young age, short disease duration, and noticeably low vitamin D, and a trend of high insulin levels. However, the obese and nonobese patients had comparable metabolic profiles with no differences in insulin resistance and ghrelin levels. Further studies, especially at a molecular level, are needed to explore this topic which is barely investigated.
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BACKGROUND: Food intake has important implications for patients with type 2 diabetes. OBJECTIVE: Similarly, in other crop species, this observational study aimed to assess dietary carbohydrate (CHO) and non-starch polysaccharide (NSP) intake and examine their association with glycemic control among Saudi patients with type 2 diabetes mellitus (T2DM). DESIGN: We investigated dietary intake in 404 patients (207 males and 197 females) with T2DM between November 2018 and March 2019. Dietary intake was assessed by face-to-face interviews using a validated dietary questionnaire. RESULTS: The results revealed that dietary CHO intake (67% of energy) exceeded the recommended daily intake, and white rice (Basmati rice) was the major contributor to CHO intake. However, the dietary NSP intake was lower than recommended, and it was negatively associated with HbA1c levels. CONCLUSION: This cross-sectional study showed that dietary CHO intake was high among Saudi patients with type 2 diabetes, and that their daily intake of NSPs was correlated with a lower level of HbA1c. Dietary advice should be given for patients with diabetes to reduce their intake of starchy food such as rice.
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OBJECTIVES: To measure prevalence of vitamin D deficiency in Saudi Arabia, unveil the life style, nutritional habits and status, as well as identify the potential risk factors. Method: A school-based survey targeting Saudi school students and employees was conducted during the period from 2013 to 2014 using multistage cluster random sample in Central, Western and Eastern regions. The prevalence of vitamin D deficiency and difference between various population subgroups were calculated. Logistic regression analysis was used to determine the predictors of potential risk factors. Results: Prevalence of vitamin D deficiency was 49.5% in students and 44% in employees. Life style was not adequate to protect against vitamin D depletion. Unhealthy nutritional habits were widespread, some manifested in childhood while others manifested later in life. Living in the Eastern region, females, 16-19 years of age, low economic class, obese and lack of omega 3 supplements were risk factors in students. Employees living in the Eastern region, females, middle-income class, carbonated soft drink consumers, and lack of multivitamin supplements were at higher risk. Conclusion: There is a need for a health awareness program using evidence-based recommendations. Screening for early detection and correction of the condition should be proposed to be part of the national health strategy. There is need for identifying the burden of vitamin D deficiency on other diseases to control and improve the prognosis of these conditions.