Effects of weight loss intervention on body composition and blood pressure among overweight and obese women: findings from the MyBFF@home study

Mansor, Fazliana; Liyana, Ahmad Zamri; Ali, Omar; Ambak, Rashidah; Nor, Noor Safiza Mohamad; Shamsudin, Ummi Kalthom; Salleh, Narul Aida; Aris, Tahir

doi:10.1186/s12905-018-0592-2

Cited by 20 publications

(20 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This nding is consistent with another study which showed that the mean diastolic blood pressure (DBP) and triglycerides decreased signi cantly in the intervention group in both sexes (36). A positive effect of life style modi cation on blood pressure has also been reported among Korean adults (37,38).…”

Section: Discussionsupporting

confidence: 90%

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

Sinaga

Lindstrom

Teshome

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Metabolic syndrome (MetS) is a global public health problem with dire consequences on health, social and economic development. In Ethiopia although MetS has been increasing since the past few decades, there is no study that evaluated the effect of interventions. This study aimed to assess the effect of nutrition behaviour change communication on MetS and its markers.Methods: An individually randomized controlled trial was conducted using a parallel design among Ethiopian adults working in Jimma University from of September 1, 2015 to January 15, 2016 for the intervention group. A sample size of 230 was calculated using GPower 3.0 assuming an effect size of 0.4, margin of error of 0.05, power of 81%, with an intervention to control ratio of 1. The eligibility criteria include: not having any physical disability and having baseline data.. Study population was randomly selected from eligible population (n=704) and allocated into intervention (n=115) and controls (n=115) groups using simple randomization method. The intervention arm was given behaviour change communication using power point presentation, facilitated group discussion on MetS and effective dietary and life style behaviours every month for three months. An Amharic language brochure was also given after the first training and a text message reminder about key behaviours was sent to each individual every two weeks. Data on background characteristic, anthropometry, and clinical parameters and blood samples were collected by trained data collectors in the Nutrition and Dietetic Laboratory of Jimma University. The laboratory analyses were done in Mettu Karl Hospital for lipid profiles and in JUCAN project laboratory for fasting blood sugar. Primary outcomes of the study were metabolic syndrome and its components. Difference in the differences of metabolic syndrome components between baseline and endline (end of intervention) were compared by the intervention status. Multivariable linear regression models were fitted to isolate independent predictors of difference in differences of metabolic syndrome components. A multivariable logistic regression model was used to identify preditors of MetS at the end line.Results: Overall, there was a significant difference (P<0.001) in the prevalence of MetS 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 MetS 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.Cholestrol, 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 the components of MetS. 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: The study demonstrated that nutrition and life style behaviour change communication has a significant positive effect in reducing metabolic syndrome and its components. Although the study was conducted in an institutional set up, the results imply that enhancing such an interevention have a great potential to curb the emerging burden of chronic non-communicable diseases in Ethiopia. Future research should examine how sustainable such behaviour changes are using a community based study.

show abstract

Section: Discussionsupporting

confidence: 90%

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

Sinaga

Lindstrom

Teshome

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…While individuals with higher body fat composition may be susceptible to metabolic disease, including hypertension [33], higher body fat in normal range of BMI was regarded to be a controversial risk factor for hypertension [34]. However, our study results showed that higher body fat was associated with increased odds of hypertension, suggesting that lowering body fat composition may increase the chance to control BP in normal-weight individuals [35]. Furthermore, the association between normal weight obesity and hypertension may differ by sex and age.…”

Section: Plos Onementioning

confidence: 51%

Obesity-related hypertension: Findings from The Korea National Health and Nutrition Examination Survey 2008–2010

et al. 2020

View full text Add to dashboard Cite

We aimed to investigate the association of various obesity parameters and phenotypes with hypertension in nationally representative Korean adults. Among adults aged 19 years and older who participated in the Korea National Health and Nutrition Examination Survey in 2008-2010, a total of 16,363 subjects (8,184 men and 8,179 women) were analyzed. Hypertension was defined as blood pressure of 140/90 mm Hg or higher or taking antihypertensive medication. Multiple logistic regression analysis was used to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Higher obesity parameters [body mass index (BMI) representing general obesity, waist circumference (WC) representing central obesity, and percentage body fat (PBF) representing elevated body fat] were consistently associated with increased odds of prevalent hypertension (OR, 7.54; 95% CI, 5.89-9.65 for BMI �30 vs. 18.5-23; OR, 3.97; 95% CI, 3.41-4.63 for WC �95 cm in males and �90 cm in females vs. <85 cm in males and <80 cm in females; OR, 3.56; 95% CI, 3.05-4.15 for PBF, highest vs. lowest quartile; all p trends<0.0001). These associations were stronger in the younger age group (<40 years), and were observed in both sexes. Furthermore, even in individuals with normal BMI (18.5-23), the odds of prevalent hypertension were consistently increased in those with central obesity (WC�90 cm in males, WC�80 cm in females; normal weight central obesity phenotype) (OR, 1.89; 95% CI, 1.63-2.19) and those with high PBF (highest quartile of PBF; normal weight obesity phenotype) (OR, 1.49; 95% CI, 1.25-1.77). These associations were consistent with updated hypertension guidelines in 2017. Obesity may be positively associated with hypertension, regardless of obesity parameters. Even within normal BMI range, high WC and high PBF may be associated with hypertension.

show abstract

“…25,26 Also, The high percentage of body fat will cause stiffness in the endothelium and smooth muscle of blood vessels, inflammation in the perivascular area, and immune system dysfunction leading to an increase in blood pressure. 27 The results of this study also indicate that the percentage of body fat can be a good predictor for predicting the occurrence of cardiometabolic disease. 7 This is in line with research conducted by Phillips et al, which states that body fat percentage can be a better indicator for assessing obesity and the risk of other cardiometabolic diseases than body mass index (BMI).…”

Section: Discussionmentioning

confidence: 53%

The Hubungan Persentase Lemak Tubuh dengan Kejadian Prehipertensi pada Mahasiswa Preklinik

Aliza

Mariani

2020

Sriwijaya Journal of Medicine

View full text Add to dashboard Cite

Latar Belakang: Prevalensi prehipertensi di Indonesia adalah 48,4%. Salah satu faktor risiko dari prehipertensi adalah obesitas, yang dapat diukur dengan mengukur persentase lemak tubuh. Persentase lemak tubuh yang tinggi akan meningkatkan kadar plasma angiotensinogen, renin, aktivitas angiotensin converting enzyme, dan aldosteron sehingga tekanan darah meningkat. Penelitian ini bertujuan untuk mengetahui hubungan antara persentase lemak tubuh dengan kejadian prehipertensi. Metode: Penelitian analitik dengan pendekatan studi potong lintang. Pengambilan data dilakukan dengan total 106 responden yang berusia sekitar 17 – 22 tahun. Penelitian ini dilakukan pada Agustus hingga September 2019 di Fakultas Kedokteran dan Ilmu Kesehatan Atma Jaya. Data penelitian diperoleh melalui pengisian kuesioner demografi, pengukuran tekanan darah dengan menggunakan sphygmomanometer, dan pengukuran persentase lemak tubuh menggunakan bioelectrical impedance analysis. Analisis bivariat hubungan jenis kelamin dengan tekanan darah, hubungan jenis kelamin dengan persentase lemak tubuh, dan hubungan persentase lemak tubuh dengan tekanan darah menggunakan chi-square. Hasil: Analisis bivariat menunjukkan bahwa terdapat hubungan yang bermakna antara jenis kelamin dengan tekanan darah (p=0,001), hubungan jenis kelamin dengan persentase lemak tubuh (p=0,000), dan hubungan persentase lemak tubuh dengan tekanan darah (p=0,000) dengan OR=3,992 Kesimpulan: Persentase lemak tubuh yang tinggi merupakan faktor risiko terjadinya prehipertensi.

show abstract

Effects of weight loss intervention on body composition and blood pressure among overweight and obese women: findings from the MyBFF@home study

Cited by 20 publications

References 39 publications

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

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

Obesity-related hypertension: Findings from The Korea National Health and Nutrition Examination Survey 2008–2010

The Hubungan Persentase Lemak Tubuh dengan Kejadian Prehipertensi pada Mahasiswa Preklinik

Contact Info

Product

Resources

About