Factors affecting metabolic syndrome by lifestyle

Ki, Nam-Kyun; Lee, Hae-Kag; Cho, Jae-Hwan; Kim, Seon-Chil; Kim, Nak-Sang

doi:10.1589/jpts.28.38

Cited by 12 publications

(3 citation statements)

References 21 publications

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“…Metabolic dysfunctions such as hypertension, obesity and hyperglycemia have been implicated as risk factors for the metabolic syndrome in previous research. 33,34 Obese participants having OR of 15.77 and overweight with OR of 6.55 were at high risk to develop metabolic syndrome in our study. Individuals having age ≥51 years with OR 6.11 had also high risk to develop metabolic syndrome.…”

Section: Discussionmentioning

confidence: 47%

Prevalence of Metabolic Syndrome and Their Associated Risk Factors Amongst Adults in District Bahawalpur

Afzal¹,

Zeb²,

Humayun³

et al. 2021

PJMHS

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Background: Globally metabolic syndrome is considered as important public health issue because of its association with the higher possibility to develop diabetes and heart problems in children, teenagers, and adults. Objective: To assess the prevalence of metabolic syndrome and their associated risk factors amongst adults. Methodology: This was cross-sectional study piloted at the physiology department Bahawalpur Victoria Hospital, Bahawalpur for duration of one year from January 2018 to January 2019. All the information including socio-demographic and anthropometric information were recorded on a predesigned Performa. Blood samples were taken and sent to hospital laboratory for blood chemistry analysis. All of the data was analyzed by using the SPSS version 23 software. Results: In this study a total of 750 participants were included. The overall prevalence of metabolic syndrome was observed in 260 (34.67%) participants. In our study, 156 (60%) female participants and 104 (40%) male were observed with metabolic syndrome. Obese participants having OR of 15.77, age ≥51 years with OR 6.11 and overweight participants with OR of 6.55 were at high risk to develop metabolic syndrome in our study. Based on our study findings, the most common and important factors that affect participants were hyperglycemia (OR: 4.84), high blood pressure (OR: 4.31), abdominal obesity (OR: 350.55), high-TG (OR: 5.81) and low-HDL (OR: 10.3). Conclusion: Our study concludes that metabolic syndrome is high prevalent in our population with female predominance. Keywords: Prevalence; Metabolic syndrome; Risk factors; Adults

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Section: Discussionmentioning

confidence: 47%

Prevalence of Metabolic Syndrome and Their Associated Risk Factors Amongst Adults in District Bahawalpur

Afzal¹,

Zeb²,

Humayun³

et al. 2021

PJMHS

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show abstract

“…20 It is widely recognised that obesity has many negative consequences for health and increases the risk for non-communicable diseases such as cardiovascular diseases and diabetes 21 and the 'metabolic syndrome' . 22 Several dietary factors may have contributed to the high rates of overweight and obesity seen in especially urban women included in the current study. Although quantities of foods consumed were not obtained, women reported that vegetables were often fried in fat/oils and eaten in small portions with large portions of stiff maize-meal porridge (data not shown).…”

Section: Riette Nelmentioning

confidence: 95%

Nutritional status and food intake of women residing in rural and urban areas of Lesotho

Rothman

Ranneileng

Nel

et al. 2018

South African Journal of Clinical Nutrition

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Objective: The socio-demography, anthropometry and food intake of women residing in rural and urban areas of Lesotho were determined. Design: Cross-sectional survey. Setting: Basotho women from four randomly selected villages in Maseru and Berea, which includes both urban and rural areas. Subjects: A total of 452 women were included in the study. Outcome measures: Socio-demographic information was collected using a structured questionnaire completed in an interview with each participant. Standard methods were used to determine anthropometric measurements, while usual food intake was determined using a short unquantified food frequency questionnaire. Results: A large percentage of participants were unemployed with a significantly higher percentage in urban compared with rural areas (65.5 vs. 49.2%; CI 6.8%; 25.4%). A higher percentage of urban than rural participants had a BMI ≥ 30 kg/m 2 (53.5 vs. 44.4%, respectively) and waist circumference ≥ 88 cm (62.7 vs. 54.1%, respectively). For both rural and urban participants, stiff maizemeal porridge was commonly consumed with all meals, often with moroho (cooked green leafy vegetables). Although a variety of vegetables (onions, cabbage, pumpkin, tomatoes, turnips and potatoes) were frequently eaten by most participants, quantities of intake were not determined. Protein sources consumed almost every day by more than 50% of all participants were dried beans. Chicken, eggs and full cream milk were consumed significantly more frequently by urban participants. Significantly more urban participants had access to a variety of fruits and vegetables, and they were also more likely to consume foods such as polony, russians (sausage containing pork and beef), sausage, sweetened drinks, mayonnaise and margarine more frequently than rural participants. Conclusions: A nutrition transition associated with the frequent intake of processed, sugary and high-fat foods was identified in urban participants. These unhealthy dietary practices may lead to an increased risk of obesity and poor health outcomes. The development of culturally acceptable and relevant interventions is thus recommended.

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“…Socio-economic growth has served as an advent for commercialization of fast foods and fancy beverages while advancement in technologies have contributed to the switch from active to sedentary lifestyles. Unhealthy diet and sedentary lifestyle are among the main risk factors for metabolic diseases including obesity and type 2 diabetes (T2DM) [1].…”

Section: Introductionmentioning

confidence: 99%

Pleiotropic effects of metformin in managing type 2 diabetes and metabolic syndrome: evidences from experimental mouse model

et al. 2018

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Background: Metformin is the common first-line medication for treating type 2 diabetes. Besides its anti-hyperglycemic property, various studies have isolatedly shown its effectiveness in reducing body weight and ameliorated components of metabolic syndrome. However, it has not been evidently shown weather metformin is effective as a dual treatment in cases of diet induced obesity and diabetes. We optimized a mouse model for diet induced obesity and diabetes for evaluating dual effectiveness of metformin in treating obesity and diabetes and simultaneously demonstrated histological changes in obese and diabetic kidney and heart tissues and the cellular-protective effects of metformin on these tissues. Methods: BULB/c mice were fed with normal, high fat or high sucrose diets for 26 w. All groups were treated with metformin from w 16 to 26. Blood samples were collected and body weights recorded on d 1 and forth nightly till w 26 when all animals were sacrificed. Hearts and kidneys were dissected and prepared for historical observation. Blood samples were processed accordingly for quantitating blood glucose, ROS and ROS defense (d 1 and d 182). Results: HFD and HSS feeds successfully created diet induced by obesity and diabetes by w 15. Metformin significantly lowered the average body weight of obese group (p<0.05) as well as the average blood glucose levels of the diabetes group (p<0.005) relative to the respective control groups. Histological studies showed no morphological cellular changes in heart and kidney tissues of obese and diabetic mice relative to respective controls (untreated). Cell shrinkage/'sick cells" were seen in the untreated obese and diabetic mice. ROS levels in the metformin treated mice remained normal relative to the untreated control groups (p<0.05). Conclusions: We have optimized a reliable mouse model for obesity and diabetes. Metformin is effective for controlling diet induced obesity and diabetes. Metformin also showed protection against obesity and hyperglycemia related cell morphological changes.

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Factors affecting metabolic syndrome by lifestyle

Cited by 12 publications

References 21 publications

Prevalence of Metabolic Syndrome and Their Associated Risk Factors Amongst Adults in District Bahawalpur

Prevalence of Metabolic Syndrome and Their Associated Risk Factors Amongst Adults in District Bahawalpur

Nutritional status and food intake of women residing in rural and urban areas of Lesotho

Pleiotropic effects of metformin in managing type 2 diabetes and metabolic syndrome: evidences from experimental mouse model

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