Dietary intake and prevalence of metabolic syndrome among tanker truck drivers in Ghana

Purpose This study aims to assess dietary intake and prevalence of metabolic syndrome (MetS) among tanker truck drivers in the Kumasi metropolis, Ghana. Design/methodology/approach A cross-sectional study design enrolled 212 fuel tanker drivers. Sociodemographic, anthropometric, dietary and biochemical data were collected. MetS was assessed using the National Cholesterol Education Program Expert Panel on detection, evaluation and treatment of high blood cholesterol in adults Adult Treatment Panel III (NCEP ATP III) 2005 criteria. A three-day 24-h dietary recall was used to assess dietary intake. Binary logistic regression analysis was performed to determine the predicting factors of MetS among study participants. Findings The prevalence of MetS was 19.6% according to NCEP ATP III criteria. The prevalence of obesity, high BP, hyperglycaemia, dyslipidemia among participants were 7.5, 39.7, 37.7 and 57.3%, respectively. The energy intake for 176 (88.4%) of the participants was inadequate. The predicting factors of MetS were age (OR: 1.3, p = 0.04), glycated haemoglobin (OR: 9.6, p = 0.004), systolic blood pressure (OR: 1.2 95%, p = 0.01) and service years (OR: 0.8, p = 0.01). Research limitations/implications The current study focused on MetS among tanker truck drivers in Kumasi metropolis, which makes the current findings only limited to drivers of tanker truck within the municipality. Additionally, the 24-h dietary recall could be subjected to recall bias. However, the study is still of relevance as it becomes the first to target such a group within the municipality, taking into consideration the importance of these tanker truck drivers in driving the economy of Ghana. Originality/value This study highlights dietary intake and MetS among fuel tanker drivers previously underreported in the Ghanaian population. Findings of this study would inform further studies on lifestyle-related determinants of MetS among other cohort of drivers in other settings within the country.

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Determinants of housing demand in the Erzurum province, Turkey

International Journal of Housing Markets and Analysis ◽

10.1108/ijhma-11-2013-0056 ◽

2014 ◽

Vol 7 (4) ◽

pp. 586-602 ◽

Cited By ~ 4

Author(s):

Erkan Oktay ◽

Abdulkerim Karaaslan ◽

Ömer Alkan ◽

Ali Kemal Çelik

Keyword(s):

Housing Prices ◽

Binary Logistic Regression ◽

Housing Demand ◽

Outcome Variable ◽

Binary Logistic Regression Analysis ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Content Type ◽

Comprehensive Survey ◽

Income Expectations

Purpose – The main aim of this study is to determine the factors that influence the housing demand of households in Erzurum, northeastern Turkey. Housing demand is generally affected by several factors including housing prices, individuals’ income, expectations and choices and so on, as a means of its demographic and socio-psychological contexts. Design/methodology/approach – A questionnaire-based cross-sectional survey was carried out, in which the outcome variable had binary responses such as whether to invest in housing or not. A binary logistic regression analysis was performed to estimate the underlying data. Findings – The questionnaire was conducted in 2,927 households living in Erzurum city center, and 47 per cent of the respondents claimed that they would consider investing in housing in the future. The estimation results reveal that demographic or socio-economic factors that may possibly influence housing demand of the respondents are as follows: household head’s and spouse’s occupation, monthly income, the number of individuals in the family and car ownership. Originality/value – This paper involves the most comprehensive survey addressing the housing demand in the East Anatolian Region, Turkey. Additionally, this paper aims to contribute to the existing housing literature through establishing the statistical analysis of housing demand in an unstudied territory of the world.

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Identification of Metabolic Syndrome Based on Anthropometric, Blood and Spirometric Risk Factors Using Machine Learning

Applied Sciences ◽

10.3390/app10217741 ◽

2020 ◽

Vol 10 (21) ◽

pp. 7741

Author(s):

Sang Yeob Kim ◽

Gyeong Hee Nam ◽

Byeong Mun Heo

Keyword(s):

Machine Learning ◽

Metabolic Syndrome ◽

Logistic Regression ◽

Prediction Model ◽

Prediction Models ◽

Strong Association ◽

Forced Expiratory Volume ◽

Binary Logistic Regression Analysis ◽

Cross Sectional Survey ◽

Cross Sectional

Metabolic syndrome (MS) is an aggregation of coexisting conditions that can indicate an individual’s high risk of major diseases, including cardiovascular disease, stroke, cancer, and type 2 diabetes. We conducted a cross-sectional survey to evaluate potential risk factor indicators by identifying relationships between MS and anthropometric and spirometric factors along with blood parameters among Korean adults. A total of 13,978 subjects were enrolled from the Korea National Health and Nutrition Examination Survey. Statistical analysis was performed using a complex sampling design to represent the entire Korean population. We conducted binary logistic regression analysis to evaluate and compare potential associations of all included factors. We constructed prediction models based on Naïve Bayes and logistic regression algorithms. The performance evaluation of the prediction model improved the accuracy with area under the curve (AUC) and calibration curve. Among all factors, triglyceride exhibited a strong association with MS in both men (odds ratio (OR) = 2.711, 95% confidence interval (CI) [2.328–3.158]) and women (OR = 3.515 [3.042–4.062]). Regarding anthropometric factors, the waist-to-height ratio demonstrated a strong association in men (OR = 1.511 [1.311–1.742]), whereas waist circumference was the strongest indicator in women (OR = 2.847 [2.447–3.313]). Forced expiratory volume in 6s and forced expiratory flow 25–75% strongly associated with MS in both men (OR = 0.822 [0.749–0.903]) and women (OR = 1.150 [1.060–1.246]). Wrapper-based logistic regression prediction model showed the highest predictive power in both men and women (AUC = 0.868 and 0.932, respectively). Our findings revealed that several factors were associated with MS and suggested the potential of employing machine learning models to support the diagnosis of MS.

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Observational study of the status of coronary risk biomarkers among Negritos with metabolic syndrome in the east coast of Malaysia

BMJ Open ◽

10.1136/bmjopen-2018-021580 ◽

2018 ◽

Vol 8 (12) ◽

pp. e021580

Author(s):

Atiqah Mokhsin ◽

Siti Shuhada Mokhtar ◽

Aletza Mohd Ismail ◽

Fadzilah M Nor ◽

Syahrul Azlin Shaari ◽

...

Keyword(s):

Metabolic Syndrome ◽

East Coast ◽

International Diabetes Federation ◽

Peninsular Malaysia ◽

Secondary Outcome ◽

Binary Logistic Regression Analysis ◽

Coronary Risk ◽

Cross Sectional ◽

The Status ◽

Risk Biomarkers

ObjectivesTo determine the prevalence of metabolic syndrome (MS), ascertain the status of coronary risk biomarkers and establish the independent predictors of these biomarkers among the Negritos.SettingsHealth screening programme conducted in three inland settlements in the east coast of Malaysia and Peninsular Malaysia.Subjects150 Negritos who were still living in three inland settlements in the east coast of Malaysia and 1227 Malays in Peninsular Malaysia. These subjects were then categorised into MS and non-MS groups based on the International Diabetes Federation (IDF) consensus worldwide definition of MS and were recruited between 2010 and 2015. The subjects were randomly selected and on a voluntary basis.Primary and secondary outcome measuresThis study was a cross-sectional study. Serum samples were collected for analysis of inflammatory (hsCRP), endothelial activation (sICAM-1) and prothrombogenesis [lp(a)] biomarkers.ResultsMS was significantly higher among the Malays compared with Negritos (27.7%vs12.0%). Among the Malays, MS subjects had higher hsCRP (p=0.01) and sICAM-1 (p<0.05) than their non-MS counterpart. There were no significant differences in all the biomarkers between MS and the non-MS Negritos. However, when compared between ethnicity, all biomarkers were higher in Negritos compared with Malays (p<0.001). Binary logistic regression analysis affirmed that Negritos were an independent predictor for Lp(a) concentration (p<0.001).ConclusionsThis study suggests that there may possibly be a genetic influence other than lifestyle, which could explain the lack of difference in biomarkers concentration between MS and non-MS Negritos and for Negritos predicting Lp(a).

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Interaction between a variant of vitamin D receptor gene and a posteriori dietary patterns on metabolic syndrome and its components

Nutrition & Food Science ◽

10.1108/nfs-11-2017-0254 ◽

2018 ◽

Vol 48 (5) ◽

pp. 780-794 ◽

Cited By ~ 2

Author(s):

Fatemeh Shokrzadeh ◽

Zahra Aslani ◽

Abbas Rahimi-Foroushani ◽

Sakineh Shab-Bidar

Keyword(s):

Metabolic Syndrome ◽

Vitamin D ◽

Vitamin D Receptor ◽

Dietary Patterns ◽

Receptor Gene ◽

Cross Sectional Study ◽

Serum Glucose ◽

Vdr Gene ◽

Cross Sectional ◽

Content Type

Purpose This paper aims to investigate whether the interaction between vitamin D receptor (VDR) FokI polymorphism and dietary patterns is associated with metabolic syndrome (MetS) and its components. Design/methodology/approach In total, 304 Iranians were enrolled in this cross-sectional study. Dietary patterns were identified using factor analysis. Fasting serum glucose and lipid profile were also assessed. FokI polymorphism of the VDR gene was genotyped using the restriction fragment length polymorphism method. Findings Individuals in third tertile of “Unhealthy Patterns had greater odds for MetS (odds ratio: 2.9; 95 per cent CI: 1.3, 6.1; P for trend = 0.03) compared to those in first tertile. Significant results disappeared after controlling for covariates (p = 0.09). There was no significant relationship between adherence to ‘Healthy Pattern’ and odds of MetS (p = 0.55). There were not any interactions between FokI polymorphism and major dietary patterns associated with MetS. Originality/value No evidence found for the interaction between polymorphism FokI and major dietary patterns associated with MetS and its components in Iranian subjects. Genome-wide association techniques are needed to assess the direct effect of this polymorphism on MetS.

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Prevalence of Metabolic Syndrome and Its Determinants in the Middle-aged and Elderly Population in A Southern Coastal Region, Iran (the PERSIAN Cohort Study): A Cross-sectional Study

Shiraz E-Medical Journal ◽

10.5812/semj.116838 ◽

2021 ◽

Vol In Press (In Press) ◽

Author(s):

Ghazal Zoghi ◽

Azim Nejatizadeh ◽

Mehdi Shahmoradi ◽

Zahra Ghaemmaghami ◽

Masoumeh Kheirandish

Keyword(s):

Metabolic Syndrome ◽

Rural Areas ◽

Central Obesity ◽

Multiple Correspondence Analysis ◽

Smoking Status ◽

Binary Logistic Regression Analysis ◽

Related Factors ◽

Cross Sectional ◽

Screening Programs ◽

The Government

Background: Metabolic syndrome (MetS) criteria are different but interconnected cardiovascular risk factors, including dysglycemia, hypertension, abdominal obesity, and dyslipidemia. Objectives: We aimed to determine the prevalence of MetS, its components, and related factors in the south coastal area of Iran, Bandare-Kong non-communicable diseases (BKNCD). Methods: This population-based study was performed on the baseline data from participants of BKNCD, which has recruited participants from Bandare Kong city, one of the 18 distinct geographical areas included in the prospective epidemiological research studies in Iran (Persian). MetS was diagnosed based on the National Cholesterol Education Program (NCEP) criteria and the Iranian-specific cut-off for waist circumference (≥ 95 cm). The socioeconomic status (SES) was estimated by multiple correspondence analysis (MCA) based on participants’ different properties. Results: Of 3,927 participants included in this study, 2,230 (56.8%) were female. Age-standardized prevalence of MetS was 34.5%. The most common MetS component was central obesity (45.1%), followed by decreased high-density lipoprotein (42.6%), elevated fasting plasma glucose (39.9%), elevated triglyceride (37.7%), and increased blood pressure (37.5%). Besides, 84.7% of the subjects displayed at least one component of MetS. Binary logistic regression analysis revealed that women aged 65 - 70 years were at higher risk of having MetS compared to those aged 35 - 39 years (aOR = 12.37, 95% CI 7.54 - 20.30, P < 0.001). Also, living in rural areas was a risk for MetS in women (aOR = 1.55, 95% CI 1.18 - 2.03, P = 0.002). Employment and education were protective against MetS in women. Being overweight significantly increased the risk of MetS in both men and women. Obesity was more problematic for men (aOR = 16.66, 95% CI 11.65 - 23.81, P < 0.001) compared to women (aOR = 10.43, 95% CI 7.82 - 13.90, P < 0.001). Marital status, education, smoking status, and SES did not significantly predict MetS in men. Conclusions: A high prevalence of MetS was observed in this study, emphasizing central obesity, high TG, and low HDL. This calls on the government authorities to establish screening programs to identify individuals with a lower number of abnormal MetS components to prevent them from developing MetS and the resultant cardiovascular complications.

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Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

10.21203/rs.3.rs-52907/v2 ◽

2020 ◽

Author(s):

Lihong Wu ◽

WenHua Zhu ◽

Qiaohua Qiao ◽

Lijuan Huang ◽

Yiqi Li ◽

...

Keyword(s):

Metabolic Syndrome ◽

Screening Method ◽

Density Lipoprotein ◽

Binary Logistic Regression ◽

Shape Index ◽

Volume Index ◽

Binary Logistic Regression Analysis ◽

Obese People ◽

Anthropometric Indices ◽

Cross Sectional

Abstract Background: Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease (CVD). Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods: Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic (ROC) curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs.Results: After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: -0.227 for male, -0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR=1.37, female: OR=1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female's high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak.Conclusions: AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

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“I Feel like I’m Eating Rice 24 Hours a Day, 7 Days a Week”: Dietary Diversity among Asylum Seekers Living in Norway

Nutrients ◽

10.3390/nu11102293 ◽

2019 ◽

Vol 11 (10) ◽

pp. 2293 ◽

Cited By ~ 1

Author(s):

Sigrun Henjum ◽

Bess L. Caswell ◽

Laura Terragni

Keyword(s):

Dietary Intake ◽

Asylum Seekers ◽

Dietary Diversity ◽

Dietary Quality ◽

Limited Information ◽

Food Groups ◽

Cross Sectional ◽

Dietary Recall ◽

Vegetables And Fruits ◽

Inadequate Dietary Intake

Food insecurity is widespread among asylum seekers resettled in Western countries. Limited information exists on the quality of food intake in this population. The aim of this study was to investigate dietary quality among asylum seekers living in Norwegian reception centers. This study has a cross-sectional research design. Dietary intake was assessed through a qualitative 24-hour dietary recall, and the dietary diversity score (DDS) was calculated. This study was conducted in eight Norwegian reception centers. A total of 205 adult asylum seekers (131 men and 74 women) participated in the study. The asylum seekers ate on average two meals per day, and one-third ate their first meal after noon. Mean (SD) DDS was 4.0 (1.6) and 2/3 had low dietary diversity, eating from fewer than five food groups. Women had a significantly higher mean DDS (4.5) than men (3.8) (β (95% CI): 0.47 (0.00, 0.95) and a higher consumption of vegetables and fruits. The longer the period of residence in Norway, the higher the DDS, β (95% CI): 0.01 (0.00, 0.02). The asylum seekers’ inadequate dietary intake reveals new forms of poverty and social exclusion in Europe. An inadequate dietary intake may increase the magnitude of difficulty involved in the settlement process and contribute to poorer health.

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Dietary intake of adults with and without diabetes: results from NHANES 2013–2016

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2020-001681 ◽

2020 ◽

Vol 8 (1) ◽

pp. e001681

Author(s):

Scott T McClure ◽

Haley Schlechter ◽

Susan Oh ◽

Karen White ◽

Beiwen Wu ◽

...

Keyword(s):

Dietary Intake ◽

Representative Sample ◽

Tolerance Test ◽

Serum Glucose ◽

Healthy Eating Index ◽

Oral Glucose ◽

Dietary Intakes ◽

Cross Sectional ◽

Dietary Recall ◽

Nationally Representative

IntroductionDiet is a critical aspect of the management of adults with diabetes. This paper aims to compare dietary intakes of key macronutrients and micronutrients of US adults with and without diabetes and across the spectrum of diabetes.Research design and methodsWe compared absolute and energy-adjusted dietary intake of major macronutrients and micronutrients among those with and without diabetes and across the spectrum of glycemic control using a 24-hour dietary recall from a cross-sectional, nationally representative sample of 9939 US adults, 20+ years old (National Health and Nutrition Examination Survey 2013–2016). Diabetes was defined as an glycohemoglobin A1c (HbA1c)≥6.5%, fasting glucose ≥126 mg/dL, serum glucose at 2 hours following a 75 g glucose load (oral glucose tolerance test) ≥200 mg/dL, any diagnosis of diabetes or use of diabetes medication (self-reported).ResultsPercent of calories from macronutrients was similar for those with and without diabetes (p>0.05, energy adjusted and adjusted for age, race, and sex). In both groups, sugar accounted for about 20% of calories. Those with diabetes consumed about 7% more calcium (p=0.033), about 5% more sodium (p=0.026), and had lower diet quality (Healthy Eating Index-2015, p=0.021) than those without diabetes. Among those with diabetes, those with an HbA1c>9.0% consumed about 4% less magnesium (p-analysis of variance=0.007) than those with an HbA1c<6.5%. Results were similar within strata of age, race, and sex. Macronutrient intake did not vary consistently by HbA1c level.ConclusionsIn this nationally representative sample, there were no substantial or consistent differences in the dietary intake of macronutrients or micronutrients between US adults with and without diabetes. Improving the diets of those with diabetes will likely require enhanced targeted efforts to improve the dietary intake of persons with diabetes, as well as broad efforts to improve the dietary intake of the general population.

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Prevalence of metabolic syndrome in 25—45-year-old Novosibirsk dwellers

Terapevticheskii arkhiv ◽

10.17116/terarkh2016881051-56 ◽

2016 ◽

Vol 88 (10) ◽

pp. 51-56 ◽

Cited By ~ 6

Author(s):

M I Voevoda ◽

N A Kovalkova ◽

Yu I Ragino ◽

N Yu Travnikova ◽

D V Denisova

Keyword(s):

Metabolic Syndrome ◽

International Diabetes Federation ◽

Density Lipoprotein ◽

Hdl Cholesterol ◽

Research Society ◽

Population Based ◽

Blood Cholesterol ◽

Cross Sectional ◽

Detection Evaluation ◽

Population Based Survey

Aim. To study the prevalence of metabolic syndrome (MS) and its components in a 25—45-year-old Novosibirsk population. Subjects and methods. The Novosibirsk Research Institute of Internal and Preventive Medicine conducted a cross-sectional population-based survey in one of the typical districts of Novosibirsk in 2013—2015. The survey covered 346 men and 408 women. The criteria of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (NCEP-ATP III, 2001), the International Diabetes Federation (IDF, 2005), the Joint Interim Statement (JIS, 2009), and the All-Russian Research Society of Cardiologists (ARRSC, 2009) were used to detect MS. According to the ARRSC criteria, MS was recorded if a waist circumference (WC) was >80 cm for women and >94 cm for men in conjunction with 2 of the following criteria: a blood pressure ≥130/85 mm Hg, triglycerides (TG) ≥1.7 mmol/l, high-density lipoprotein (HDL) cholesterol

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Social capital and health and job related outcomes: the case of a large municipality

International Journal of Workplace Health Management ◽

10.1108/ijwhm-12-2014-0055 ◽

2016 ◽

Vol 9 (1) ◽

pp. 17-31 ◽

Cited By ~ 4

Author(s):

Ann-Kristina Løkke

Keyword(s):

Job Satisfaction ◽

Social Capital ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Binary Logistic Regression Analysis ◽

Cross Sectional ◽

Employee Survey ◽

Content Type ◽

The Relationship ◽

Large Municipality

Purpose – The purpose of this paper is to investigate the relationship between workplace social capital and health and job related outcomes in a large Danish municipality. Design/methodology/approach – Data used in this cross-sectional study are based on an electronic employee survey conducted in 2012 in a large municipality. Of the total population of 5,672 individuals, the number of participants amounted to 4,162, leading to a response rate of 73.4 percent. Binary logistic regression analysis is used as a statistical method, and odds ratios and their corresponding 95 percent confidence intervals have been estimated. Findings – The level of social capital is fairly high in the municipality (3.75 on a five-point scale). Social capital is related to health (OR=0.420) and psychological distress (OR=0.282) but has an even stronger relationship to job satisfaction and commitment (OR is 9.889 and 7.800, respectively). The study contributes with the conclusion that different sub-dimensions of social capital are related to health and job related outcomes. Therefore, managers need to be specific about what exactly they want to achieve with the implementation of social capital in municipalities. Originality/value – Research of the relationship between social capital and health and job related outcomes based on a case study approach of a municipality are limited. This paper makes an original contribution in providing evidence of the importance of social capital for Danish municipal sector employees’ health, job satisfaction, and commitment in a work context.

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