Associations between white blood cells count and obesity in apparently healthy young adults

2020 ◽  
Vol 50 (6) ◽  
pp. 1013-1019
Author(s):  
Fatemeh Ghannadiasl

Purpose The elevated white blood cells (WBCs) count has been reported to be a predictor of cardiovascular diseases, diabetes, hypertension and metabolic syndrome. This study aims to determine the associations between WBCs count and obesity in apparently healthy young adults. Design/methodology/approach In this cross-sectional study, the authors evaluated the body mass index (BMI) in 392 apparently healthy young adults of both sexes. The WBCs count was measured using standard counter techniques. The inclusion criteria were the agreement to participate in the study, between 18 and 25 years of age, lack of self-reported diseases such as cardiovascular diseases, hypertension, kidney and infectious diseases. Findings According to the BMI classification, underweight and overweight or obesity were observed in 14.58 and 11.48 per cent of young adults, respectively. The mean WBC was 6.5 ± 1.5 (×10³ cells/µL). Higher values of WBCs were found in women than in men (p = 0.02). The young adults with higher BMI had a higher WBCs count. There was a positive correlation between WBCs count and weight and BMI (r = 0.19 and r = 0.22, p < 0.001, respectively). Research limitations/implications This research was a cross-sectional study. Future studies are suggested using longitudinal studies to examine more relationships between obesity and WBCs count in apparently healthy young adults. Practical implications The results of this study provide evidence for weight management in this age group to reduce diseases associated with increased WBCs count. Originality/value The WBCs count was related to increasing levels of BMI per cent 2 C even in the normal range.

2016 ◽  
Vol 5 (3) ◽  
pp. 800-807 ◽  
Author(s):  
Di Liu ◽  
Yujiao Chen ◽  
Pengling Sun ◽  
Wenlin Bai ◽  
Ai Gao

A cross-sectional study was conducted in a sample of 571 workers to explore the toxic effect and early sensitive biomarker of the health effects of low-dose benzene exposure (LDBE), as well as the correlation between DNA methylation and the toxic effect of LDBE.


2017 ◽  
Vol 3 (2) ◽  
pp. FSO182 ◽  
Author(s):  
Abdelmageed Elmugabil ◽  
Duria A Rayis ◽  
Renda E Abdelmageed ◽  
Ishag Adam ◽  
Gasim I Gasim

1970 ◽  
Vol 29 (1) ◽  
Author(s):  
Molla Abebe ◽  
Tiruneh Adane ◽  
Kassa Kefyalew ◽  
Tesfahun Munduno ◽  
Alebachew Fasil ◽  
...  

BACKGROUND: Diabetic kidney disease is a common and severe microvascular complication of diabetes mellitus (DM). There are limited data regarding alteration of urine parameters other than proteinuria among DM patients.METHODS: Institution based cross-sectional study was conducted from February to May 2017 to assess alteration of urine parameters among DM patients at the University of Gondar Hospital, Northwest Ethiopia. A Systematic random sampling technique was used to recruit adult (≥18 years) diabetic participants. Data were collected after ethical requirements had been fulfilled. The degree of association between variables was evaluated through bivariable and multivariable logistic regression models.RESULTS: The majority (69.4%) of the study participants were type 2 DM patients. The prevalence of altered urine chemical parameters was 11.3% proteinuria, 4.5% ketonuria, 13.6% hematuria, 53.8% glucosuria, 24.9% leukocyturia and 1.7% positive for nitrite. Diastolic blood pressure and poor glycemic control were significantly associated with proteinuria. Male participants were 2.4 times more likely to have leukocyturia than female participants. The prevalence of abnormally increased microscopic findings was red blood cells 3.1%, white blood cells 12.5%, epithelial cells 27.5%, yeast cells 1.7%, bacteria 17.8%, casts 3.7% and crystals 29.2%.CONCLUSIONS: The prevalence of altered urine parameters among DM patients is found to be considerable. These increased prevalences of altered urine parameters are potential indicators for diabetic kidney disease. 


2017 ◽  
Author(s):  
Lyndal Wellard-Cole ◽  
Jisu Jung ◽  
Judy Kay ◽  
Anna Rangan ◽  
Kathy Chapman ◽  
...  

BACKGROUND Young Australians aged between 18 and 30 years have experienced the largest increase in the body mass index and spend the largest proportion of their food budget on fast food and eating out. Frequent consumption of foods purchased and eaten away from home has been linked to poorer diet quality and weight gain. There has been no Australian research regarding quantities, type, or the frequency of consumption of food prepared outside the home by young adults and its impact on their energy and nutrient intakes. OBJECTIVES The objective of this study was to determine the relative contributions of different food outlets (eg, fast food chain, independent takeaway food store, coffee shop, etc) to the overall food and beverage intake of young adults; to assess the extent to which food and beverages consumed away from home contribute to young adults’ total energy and deleterious nutrient intakes; and to study social and physical environmental interactions with consumption patterns of young adults. METHODS A cross-sectional study of 1008 young adults will be conducted. Individuals are eligible to participate if they: (1) are aged between 18 and 30 years; (2) reside in New South Wales, Australia; (3) own or have access to a smartphone; (4) are English-literate; and (5) consume at least one meal, snack, or drink purchased outside the home per week. An even spread of gender, age groups (18 to 24 years and 25 to 30 years), metropolitan or regional geographical areas, and high and low socioeconomic status areas will be included. Participants will record all food and drink consumed over 3 consecutive days, together with location purchased and consumed in our customized smartphone app named Eat and Track (EaT). Participants will then complete an extensive demographics questionnaire. Mean intakes of energy, nutrients, and food groups will be calculated along with the relative contribution of foods purchased and eaten away from home. A subsample of 19.84% (200/1008) of the participants will complete three 24-hour recall interviews to compare with the data collected using EaT. Data mining techniques such as clustering, decision trees, neural networks, and support vector machines will be used to build predictive models and identify important patterns. RESULTS Recruitment is underway, and results will be available in 2018. CONCLUSIONS The contribution of foods prepared away from home, in terms of energy, nutrients, deleterious nutrients, and food groups to young people’s diets will be determined, as will the impact on meeting national recommendations. Foods and consumption behaviors that should be targeted in future health promotion efforts for young adults will be identified.


2020 ◽  
Vol 2 (68) ◽  
pp. 94
Author(s):  
Larisa Tomescu ◽  
Denis Şerban ◽  
Nicoleta Nicolae ◽  
Florina Borozan ◽  
Ioan Sas

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