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      Factors associated with dyslipidemia and its prevalence among Awash wine factory employees, Addis Ababa, Ethiopia: a cross-sectional study

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          Abstract

          Background

          Dyslipidemia is a highly prevalent and modifiable risk factor for atherosclerotic cardiovascular diseases. Though the problem is significant in Ethiopia, available data in this regard is very poor among alcoholic beverage industrial workers. This study aimed to assess factors associated with dyslipidemia and its prevalence among Awash wine factory employees in Addis Ababa, Ethiopia.

          Methods

          A cross-sectional study was conducted among 335 randomly selected employees of Awash wine factory, Addis Ababa, Ethiopia from January to February 2021. Data was collected by a face-to-face interview technique using the WHO STEPwise approach. Data were entered and analyzed using Epi Info 7 and SPSS version 26, respectively. Both bivariable and multivariable logistic regression analyses were performed to identify factors associated with dyslipidemia. All statistical tests were declared significant at p-value < 0.05.

          Results

          The overall prevalence of dyslipidemia was 67.8% (95% CI 62.5–72.7%). Elevated total cholesterol, elevated triglycerides, reduced high-density lipoprotein, and elevated low-density lipoprotein was found in 25.4%, 33.4%, 50.7%, and 21.5% of participants, respectively. Dyslipidemia was significantly associated with age group 30–39 years (AOR = 2.51; 95% CI 1.16–5.44, p = 0.019), ≥ 40 years (AOR = 6.45; 95% CI 2.01–20.71, p = 0.002), current alcohol consumption (AOR = 3.37; 95% CI 1.70–6.66, p < 0.001), eating vegetables < 2 days per week (AOR = 2.89; 95% CI 1.54–5.43, p = 0.001), sitting duration of > 4 h per day (AOR = 1.96; 95% CI 1.03–3.74, p = 0.041), and raised waist circumference (AOR = 4.56; 95% CI 2.07–10.08, p < 0.001).

          Conclusions

          High prevalence of dyslipidemia was found among Awash wine factory employees in Addis Ababa. Periodic screening of high-risk groups along with effective health promotion and education which encourages a healthy lifestyle is essential.

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          Prevalence and risk factors for dyslipidemia among adults in rural and urban China: findings from the China National Stroke Screening and prevention project (CNSSPP)

          Sampson Opoku, Yong Gan, Wenning Fu … (2019)
          Background Dyslipidemia is a modifiable risk factor for cardiovascular disease (CVD). We investigated the prevalence and associated risk factors of dyslipidemia- raised total cholesterol (TC), raised triglycerides (TG), raised low-density lipoprotein (LDL-C), low high-density lipoprotein (HDL-C), and raised non-high-density lipoprotein (non-HDL-C) in rural and urban China. Methods We analyzed data from 136,945 participants aged 40–100 years of the CNSSPP project for 2014. Dyslipidemia was defined by the NCEP-ATP III and the 2016 Chinese guidelines for the management of dyslipidemia in adults. Complete data on demographic, metabolic and lifestyle characteristics were used. Chi-square tests and multivariable logistic regression were used to obtain age- and sex-adjusted prevalence and risk factors for dyslipidemia among participants. Results A total of 53.1% participants lived in rural areas. The prevalence of dyslipidemia was similar among rural and urban participants (43.2% vs. 43.3%). Regarding the components of dyslipidemia: urban compared with rural participants had a higher prevalence of low HDL-C (20.8% vs. 19.2%), whereas the prevalence of raised LDL-C (7.8% vs. 8.3%), raised TC (10.9% vs.11.8%) and raised non-HDL-C (10.0% vs. 10.9%) were lower in urban residents, (all p < 0.001). Women were more likely to have raised TC than men (adjusted OR [AOR] =1.83, 95% confidence interval [CI]:1.75–1.91), raised LDL-C (AOR = 1.55, 95% CI: 1.47–1.63) and high non-HDL-C (AOR = 1.52 95% CI: 1.45–1.59) (all p < 0.001). Compared with rural, urban participants had higher odds of dyslipidemia: low HDL-C (AOR = 1.04, 95% CI: 1.01–1.07), and raised TG (AOR = 1.06, 95% CI: 1.04–1.09). Hypertension and current drinker were less likely to get low HDL-C with AOR 0.93 (95% CI: 0.90–0.96) and AOR 0.73 (95% CI: 0.70–75), respectively. Overweight, obesity, central obesity and diabetes had higher odds of all dyslipidemias (p < 0.001). Conclusions Low HDL-C was higher in urban areas, whereas the remaining dyslipidemia types were more common in rural areas. Dyslipidemia was more common in women in both areas of residence. Overweight, obesity, central obesity and diabetes were associated with dyslipidemias. The need to intensify intervention programs to manage dyslipidemia and risk factors should be prioritized.
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            Prevalence of dyslipidaemia among adults in Africa: a systematic review and meta-analysis

            Jean Joel R. Bigna, Jobert Nansseu, Ulrich Flore Nyaga … (2018)
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              Associations of sitting accumulation patterns with cardio-metabolic risk biomarkers in Australian adults

              John Bellettiere, Elisabeth A. H. Winkler, Sebastien Chastin … (2017)
              Background High amounts of time spent sitting can increase cardiovascular disease risk and are deleteriously associated cardio-metabolic risk biomarkers. Though evidence suggests that accruing sitting time in prolonged periods may convey additional risk, verification using high-quality measures is needed. We examined this issue in adults from the Australian Diabetes, Obesity and Lifestyle Study, using accurate measures of sitting accumulation. Methods In 2011/12, 739 adults aged 36 to 89 years (mean±SD 58±10 years) wore activPAL3™ monitors (which provide accurate objective measures of sitting); 678 provided ≥4 valid days of monitor data and complete cardio-metabolic biomarker and confounder data. Multivariable linear regression models examined associations of sitting time, sitting time accrued in ≥30 minute bouts (prolonged sitting time), and three measures of sitting accumulation patterns with cardio-metabolic risk markers: body mass index (BMI), waist circumference, blood pressure, high- and low- density lipoprotein (HDL and LDL) cholesterol, triglycerides, glycated haemoglobin (HbA1c), fasting plasma glucose (FPG) and 2-hour post-load glucose (PLG). Interactions tests examined whether associations of sitting time with biomarkers varied by usual sitting bout duration. Results Adjusted for potential confounders, greater amounts of sitting time and prolonged sitting time were significantly (p<0.05) deleteriously associated with BMI, waist circumference, HDL cholesterol, and triglycerides. Total sitting time was also significantly associated with higher PLG. Sitting accumulation patterns of frequently interrupted sitting (compared to patterns with relatively more prolonged sitting) were significantly beneficially associated with BMI, waist circumference, HDL cholesterol, triglycerides, PLG, and with FPG. Effect sizes were typically larger for accumulation patterns than for sitting time. Significant interactions (p<0.05) showed that associations of sitting time with HDL, triglycerides and PLG became more deleterious the longer at a time sitting was usually accumulated. Conclusions Adding to previous evidence reliant on low-quality measures, our study showed that accumulating sitting in patterns where sitting was most frequently interrupted had significant beneficial associations with several cardio-metabolic biomarkers and that sitting for prolonged periods at a time may exacerbate some of the effects of sitting time. The findings support sedentary behavior guidelines that promote reducing and regularly interrupting sitting.
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                Author and article information

                Contributors
                Daniel Angassa: danielssa25@gmail.com
                Journal
                Journal ID (nlm-ta): BMC Cardiovasc Disord
                Journal ID (iso-abbrev): BMC Cardiovasc Disord
                Title: BMC Cardiovascular Disorders
                Publisher: BioMed Central (London )
                ISSN (Electronic): 1471-2261
                Publication date (Electronic): 30 January 2022
                Publication date PMC-release: 30 January 2022
                Publication date Collection: 2022
                Volume: 22
                Electronic Location Identifier: 22
                Affiliations
                [1 ]Lideta Sub-City Health Office, Addis Ababa, Ethiopia
                [2 ]GRID grid.460724.3, ISNI 0000 0004 5373 1026, School of Public Health, , St. Paul’s Hospital Millennium Medical College, ; Addis Ababa, Ethiopia
                Article
                Publisher ID: 2465
                DOI: 10.1186/s12872-022-02465-4
                PMC ID: 8801105
                PubMed ID: 35094687
                SO-VID: 528ea7f1-2e2c-4b79-bb92-97dc684b2710
                Copyright © © The Author(s) 2022
                License:

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                Date received : 10 July 2021
                Date accepted : 17 January 2022
                Categories
                Subject: Research
                Custom metadata
                issue-copyright-statement © The Author(s) 2022

                ScienceOpen disciplines: Cardiovascular Medicine
                Keywords: dyslipidemias,prevalence,risk factors,wine factory,ethiopia
                Data availability:
                ScienceOpen disciplines: Cardiovascular Medicine
                Keywords: dyslipidemias, prevalence, risk factors, wine factory, ethiopia

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