The prevalence of dislipidemia and its relation to other risk factors: a nationwide survey of Lithuania

Rinkūnienė, E.; Laucevičius, Aleksandras; Petrulionienė, Ž.; Dženkevičiūtė, V.; Kutkienė, S.; Skujaitė, Agnė; Kasiulevičius, Vytautas

doi:10.2217/clp.15.16

Cited by 13 publications

(11 citation statements)

References 22 publications

(22 reference statements)

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“…However, the prevalence of dyslipidemia in this study is higher than the previous findings reported in Eastern Ethiopia (34.8%) [11], Africa PLOS ONE (25.5%) [9], China (32.2%) [20], Iran (30.0%) [21], India (50.7%) [22], and Uganda (63.3%) [23]. Contrary to this, the prevalence is lower than previous studies reported in Lithuania (89.7%) [24], South Africa (85.0%) [25], India (78.4%) [26] and Poland (77.2%) [27]. This difference might be due to variation in the cutoffs, stage of urbanization in the various study settings, study period, socioeconomic status, and lifestyles of the study subjects.…”

Section: Plos Onecontrasting

confidence: 95%

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Prevalence of dyslipidemia and associated risk factors among adult residents of Mekelle City, Northern Ethiopia

et al. 2021

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Introduction Dyslipidemia is a major risk factor for cardiovascular diseases (CVD). The prevalence of dyslipidemia is not known among Ethiopian adults. The prevalence is expected to rise due to the socio-economic development accompanied by lifestyle changes. This study was conducted to estimate the prevalence of dyslipidemia and associated risk factors among adult residents of Mekelle City. Methods A community-based cross-sectional study was conducted among 321 randomly selected subjects. Data were collected on sociodemographic, anthropometric, lifestyle, and clinical characteristics of the participants using the WHO STEPS survey instrument. Data were analyzed using SPSS software version 24.0. Student’s t-test and Pearson’s Chi-square test were used to assessing the interrelationship between each factor and outcome variables. Bivariate and multivariable logistic regression analysis were used to identify risk factors associated with dyslipidemia. All statistical significance was considered at p ≤0.05. Results The prevalence of dyslipidemia in this study was 66.7%. The prevalence of high low-density lipoprotein cholesterol (LDL-C), elevated triglyceride, elevated total cholesterol, and low high-density lipoprotein cholesterol (HDL-C) was 49.5%, 40.2%, 30.8%, and 16.5%, respectively. Being above 64 years (aOR: 2.196, 95% CI: 1.183–4.078) and 40–64 years old (aOR: 2.196, 95% CI: 1.183–4.078), overweight (aOR: 2.50, 95% CI: 1.314–4.756) and obesity (aOR: 15.489, 95% CI: 3.525–68.070), walking <150 minutes per week (aOR: 1.722, 95% CI: 1.004–2.953), raised fasting blood glucose (FBG) (aOR: 4.804, 95% CI: 1.925–11.988), and medium socio-economic status (aOR: 2.017, 95% CI: 1.044–3.899) were identified as significant predictors of dyslipidemia. Conclusions The finding of this study indicated that the prevalence of dyslipidemia is unacceptably high among adult residents of Mekelle City, which underlines an urgent need for early detection and public health interventions through the integrated involvement of public, governmental, and non-governmental organizations.

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Section: Plos Onecontrasting

confidence: 95%

“…An inverse relationship was observed between weekly walking time and dyslipidemia, which is similar to many previous study findings [24,37,46,47,49,[52][53][54]. The prevalence of…”

Section: Plos Onesupporting

confidence: 90%

Prevalence of dyslipidemia and associated risk factors among adult residents of Mekelle City, Northern Ethiopia

et al. 2021

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“…This finding is in agreement with previous studies conducted in India (50.7%) [ 24 ]. However, this finding is lower than the previous similar studies conducted in Poland (77.2%) [ 28 ], Lithuania (89.7%) [ 29 ], Palestine (66.4%) [ 30 ], South Africa (67.3%) [ 31 ], India (78.4%) [ 32 ], Uganda (63.3%) [ 33 ], South Africa (85.0%) [ 34 ]. In contrast, the current finding is higher than previous studies done in China (32.2%) [ 35 ], Ethiopia (34.8%) [ 13 ], and Iran (30.0%) [ 36 ].…”

Section: Discussioncontrasting

confidence: 58%

Prevalence and predictors of dyslipidemia among hypertensive patients in Lumame Primary Hospital, Amhara, Ethiopia: A cross-sectional study

Kifle

Alehegn²,

Adugna

et al. 2021

Metabolism Open

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Background Serum lipid profile abnormalities are major predictors for coronary artery diseases. The relationship between demographic factors and dyslipidemia in Ethiopia is not completely explored. Thus, this study aimed to assess the prevalence and predictors of dyslipidemia among hypertensive patients in Lumame Primary Hospital. Methods A cross-sectional study was conducted from June to August 30, 2020, on the hypertensive patients in Lumame Primary Hospital. All adult hypertensive patients who visited the adult hypertensive care services during the study period were included. Interview-guided self-administered questionnaire and a chart review were used for data collection. Statistical Package for the Social Sciences (SPSS) software version 24.0 was used for data analysis. Results Out of 372 hypertensive patients, 190(51.1%) were females and the mean age of the study participants was 43.56 years (SD ± 4.31). The overall prevalence of dyslipidemia in this study was 48.4%. Besides the overall prevalence, the prevalence of TC, TG, LDL-c, and HDL-c was 73(19.6%), 91(24.5%), 60(16.1%), and 115(30.9%), respectively. Females were at higher risk for having high levels of TC (AOR = 2.31, 95% CI = 1.54–3.13), TG (AOR = 1.70, 95% CI = 1.34–3.79), LDL-c (AOR = 2.15, 95% CI = 1.56–2.86), and HDL-c (AOR = 2.67, 95% CI = 1.44–5.67) than males. Respondents who were from urban were at higher risk for having high levels of TC (AOR = 1.98, 95% CI = 1.04–6.83), TG (AOR = 1.78, 95% CI = 1.09–2.86), LDL-c (AOR = 3.01, 95% CI = 1.45–7.43), and HDL-c (AOR = 2.01, 95% CI = 1.94–4.55) than respondents who were from rural. Similarly, obese respondents were at higher risk for having high levels of TC (AOR = 2.03, 95% CI = 1.64–2.00), TG (AOR = 3.78, 95% CI = 1.06–6.42), LDL-c (AOR = 1.92, 95% CI = 1.66–2.12), and HDL-c (AOR = 4.23, 95% CI = 2.84–4.32) than to respondents who were underweight. Conclusion The prevalence of dyslipidemia among hypertensive patients was high. Independent variables such as age, gender, residence, family history of HTN, smoking, alcohol drinking, fruit diet habits, physical activity, DM, and BMI were significant determinants of dyslipidemia.

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“…Cardiovascular risk profile of each participant was obtained. A detailed description of the LitHir program protocol is presented in Laucevicius et al paper [ 9 ].…”

Section: Methodsmentioning

confidence: 99%

Cardiovascular risk profile of patients with atherogenic dyslipidemia in middle age Lithuanian population

et al. 2018

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BackgroundAtherogenic dyslipidemia (AD) is a blood serum lipid profile abnormality characterized by elevation of triglycerides and reduced levels of high density lipoprotein cholesterol (HDL-C). It is associated with residual cardiovascular risk. This study evaluated and compared the risk profiles of patients with hypertriglyceridemia, low-HDL-C levels or AD, in order to understand, which lipid profile is associated with greater risk.MethodsDuring the period of 2009–2016 a population of 92,373 Lithuanian adults (men 40–54 years old and women 50–64 years old) without overt cardiovascular disease were analyzed. Data of 25,746 patients (68.6% women and 31.4% men) with hypertriglyceridemia and/or low HDL-C low levels were collected and used for further statistical analysis.ResultsParticipants with AD tend to have more unfavorable risk profile than participants with hypertriglyceridemia or low-HDL-C. AD tends to cluster with other atherogenic risk factors, such as arterial hypertension [odds ratio (OR) 1.96, 95% confidence intervals (CI) 1.87–2.01], smoking [OR 1.20, 95% CI 1.14–1.27], diabetes mellitus [OR 2.74, 95% CI 2.58–2.90], obesity [OR 2.92, 95% CI 2.78–3.10], metabolic syndrome [OR 22.27, 95% CI 20.69–23.97], unbalanced diet [OR 1,59, 95% CI 1.51–1.68], low physical activity [OR 1.80, 95% CI 1.71–1,89], CHD history in first degree relatives [OR 1.18, 95% CI 1.12–1.25] and total number of risk factors [OR 1.47, 95% CI 1.38–1.57].ConclusionAD is associated with more unfavorable cardiovascular risk profile than hypertriglyceridemia or low-HDL cholesterol levels. Once identified AD should require additional medical attention since it is an important factor of residual cardiovascular risk.

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The prevalence of dislipidemia and its relation to other risk factors: a nationwide survey of Lithuania

Cited by 13 publications

References 22 publications

Prevalence of dyslipidemia and associated risk factors among adult residents of Mekelle City, Northern Ethiopia

Prevalence of dyslipidemia and associated risk factors among adult residents of Mekelle City, Northern Ethiopia

Prevalence and predictors of dyslipidemia among hypertensive patients in Lumame Primary Hospital, Amhara, Ethiopia: A cross-sectional study

Cardiovascular risk profile of patients with atherogenic dyslipidemia in middle age Lithuanian population

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