The Effect of Lifestyle Changes on Blood Pressure Control among Hypertensive Patients

Yang, Myung Hwa; Kang, Seo Young; Lee, Jung Ah; Kim, Young Sik; Sung, Eunju; Lee, Ka-Young; Kim, Junsu; Oh, Han Jin; Kang, Hee Cheol; Lee, Sang Yeoup

doi:10.4082/kjfm.2017.38.4.173

Cited by 55 publications

(51 citation statements)

References 20 publications

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“…Assessment of the hypertension cases in the context of the age revealed that high age leads to increase episodes of hypertension among the Sudanese population. Yang et al (2017) also found similar results on the Korean population highlighting that higher age leads to increased prevalence of hypertension in the world. However, Bruno et al (2016) reported contrary results as it found the most prevalence of hypertension cases in the young adults.…”

Section: Discussionsupporting

confidence: 72%

Association between Healthy Lifestyle and Management of Hypertension; A Descriptive Study undertaking Sudanese Adult

Ombada¹,

Ombada²

2019

GJHS

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Background: Hypertension (HTN) is recognized as a global healthcare challenge. It is considered as the leading mortality inducing factor for coronary heart disease, stroke, congestive heart failure, renal diseases, and retinopathy. Objective: The study aims to assess the hypertension prevalence among adults in Khartoum, Sudan. It also examined the potential risk factors that are associated with hypertension. Methods: The study employed a cross-sectional research design using a quantitative approach. A questionnaire-based survey was conducted among 138 adults aged 16-75 years, from March-April 2015, in the Riyadh district of Khartoum, Sudan. Using simple random sampling, the study recruited the participants from ward number 5 of Riyadh municipality. Data were collected related to the socio-demographic factors and hypertension risk factors. Results: The findings showed a prevalence of 28 percent, whereas the majority of hypertension cases were reported for the age group from 45-60 years group (13.7%). The findings revealed a substantial impact of age, stress, social status, and diabetes on hypertension with a p-value of 0.001, 0.010, 0.001, and 0.50, respectively. Conclusions: It concludes that more research needs to be conducted for the analysis of the factors which can assist the detection of hypertension. It also stresses towards instigation of the awareness programs with effective preventive interventions.

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Section: Discussionsupporting

confidence: 72%

Association between Healthy Lifestyle and Management of Hypertension; A Descriptive Study undertaking Sudanese Adult

Ombada¹,

Ombada²

2019

GJHS

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“…There was an error in the article, “The effect of lifestyle changes on blood pressure control among hypertensive patients 1) .” The authors found an error after the publication of this work 1) and asked the editorial board to correct it. So we would like to replace Table 3 of the original paper with a revised version.…”

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Correction: The Effect of Lifestyle Changes on Blood Pressure Control among Hypertensive Patients

et al. 2017

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“…A positive effect of life style modification on blood pressure has also been reported among Korean adults (37,38).…”

Section: Resultsmentioning

confidence: 79%

Effect of Behaviour Change Communication on Metabolic Syndrome and Its Markers among Ethiopian Adults: Randomized Controlled Trial

Sinaga

Lindstrom

Teshome

et al. 2020

Preprint

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Background: Metabolic syndrome is a global public health problem affecting both developing and developed countries with major consequences on human health, social and economic development. In Ethiopia although there is an increase in the prevalence of metabolic Syndrome due to epidemiologic transition, there is no study that evaluated the effect of interventions. This study aimed to assess the effect of nutrition behaviour change communication on metabolic syndrome and its markers. Method: A individually randomized controlled trial was conducted among Ethiopian adults working in Jimma University from mid of September 2015 to December 30, 2015. A total of 224 participants were randomly allocated into intervention (n=112) and controls (n=112) groups. The list of administrative and academic staff involved in the baseline survey was used as a sampling frame. Data on socio-demographic, anthropometric, biochemical and clinical parameters were collected using trained data collectors. Difference in the differences in metabolic syndrome and its components between baseline and end line were compared by the intervention status. Multivariable logistic and linear regression models were used to isolate independent predictors of metabolic syndrome and its components, respectively. Results: Overall, there was significant difference (P<0.001) in the prevalence of metabolic syndrome between intervention (11.6%) and control groups (37.5%) on the end line survey. On multivariable logistic regression analyses, control groups were 8.5 times more likely to have metabolic syndrome compared to intervention groups (AOR=8.53, 95%CI: 3.60, 20.21, P <0.001). There was a significant mean difference in differences in most components of metabolic syndrome and other lipid profiles except HDL (P=0.717) in the intervention group. The mean difference in differences in waist circumference was 6.3 cm (P<0.001), while that of systolic blood pressure (BP) and diastolic BP were 6.1 mmHg (P< 0.001) and 3.6 mmHg (P=0.001), respectively. Likewise the difference of differences between intervention and control groups was 30.7 mg/dl (P<0.001) for T.Cholesterol, 55.5 mg/dl (P<0.001) for triglycerides, 21.9 mg/dl (P=0.015) for LDL and 22.2 mg/dl (P<0.001) for fasting blood sugar. Further multivariable linear regression analyses showed that after adjusting for many variables, there was a significant difference in difference between intervention groups in components of metabolic syndrome. For the intervention group the mean difference in differences was 6.1cm (β=6.1, P<0.001) for waist circumference and 4.2 mm Hg (β=4.2, P<0.05) for diastolic blood pressure and 6.5 mmHg (β=6.5, P<0.001) for systolic blood pressure compared with controls. Similarly, the mean difference in differences was higher in the intervention group by 19.9 mg/dl (β=19.9, P<0.05) for FBS, 57.5 mg/dl for TG (β=57.5, P<0.05), 24.40 mg/dl for LDL (β=24.4, P<0.05) and 30.9mg/dl for T.Cholestrol (β=30.9, P<0.001). This trial is retrospectively registered on Pan African Clinical Trial Registration with unique identification number of PACTR202003465339638. Conclusion: There was strong positive effect of behaviour change communication on metabolic syndrome and its components. The results imply the need for enhancing behaviour change interventions using various strategies at the community and health facility levels to curb the emerging burden of chronic non-communicable diseases in Ethiopia. Future research should examine the sustainability of such behaviour changes using a community based study.

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The Effect of Lifestyle Changes on Blood Pressure Control among Hypertensive Patients

Cited by 55 publications

References 20 publications

Association between Healthy Lifestyle and Management of Hypertension; A Descriptive Study undertaking Sudanese Adult

Association between Healthy Lifestyle and Management of Hypertension; A Descriptive Study undertaking Sudanese Adult

Correction: The Effect of Lifestyle Changes on Blood Pressure Control among Hypertensive Patients

Effect of Behaviour Change Communication on Metabolic Syndrome and Its Markers among Ethiopian Adults: Randomized Controlled Trial

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