Association between Lifestyle Factors and Metabolic Syndrome among African Americans in the United States

Bhanushali, Chintan J.; Kumar, Krishna; Wutoh, Anthony K.; Karavatas, Spiridon G.; Habib, Muhammad J.; Daniel, Marlon; Lee, Euni

doi:10.1155/2013/516475

Cited by 26 publications

(23 citation statements)

References 29 publications

(32 reference statements)

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“…It was observed that males were 4.7 times more likely to have metabolic syndrome as compared to females, which is consistent with other reports (30). For one year increase in age, the likelihood of metabolic syndrome was higher by 6%, which is similar to a report from elsewhere (31). The relationship between metabolic syndrome components with older age and male sex has also been reported (32).…”

Section: Resultssupporting

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

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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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Section: Resultssupporting

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

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“…In addition, the prevalence of MetS was found to be more than three times higher among married participants (23.2%) compared to those who had never been married (6.0%). Bhanushali et al [52] also reported similar finding of a higher prevalence of METs among married people. However, Hosseinpour-Niazi et al's study [53]did not find any significant difference between marital status and MetS.…”

Section: Discussionmentioning

confidence: 62%

Prevalence and Correlates of Metabolic Syndrome Among Adults Attending Healthcare Facilities in Eastern Cape, South Africa

Owolabi¹,

Goon²,

Adeniyi³

et al. 2017

TOPHJ

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Background and Aim:Urbanisation and westernisation have greatly influenced the metabolic health of individuals in South Africa, with resultant increase in metabolic syndrome (METs) components. This study aimed to determine the prevalence and factors associated with METs among adults in Buffalo City Municipality, East London, South Africa.Methods:This was a healthcare facility-based cross-sectional, descriptive study. The World Health Organisation STEPwise demographic and lifestyle behavioural questionnaire was used to collect relevant data from 998 participants. Anthropometric measurements, blood pressure and fasting blood glucose were measured using standardised protocols. Metabolic syndrome was diagnosed using the International Diabetes Federation criteria.Results:The prevalence of metabolic syndrome was 21.8%; 15.6% and 24.8% among males and females, respectively. The prevalence of METs was higher among participants who were aged 56 years and above, with low level of education (grade 1 – 7), married and retired. After adjusting for confounders, only age 26 and above (AOR=4.1, CI=2.0-8.4), marriage (AOR=2.3 CI=1.6-3.3), female sex (AOR=1.6, CI=1.1-2.4), alcohol use (AOR=2.0, CI= 1.3-3.1), unemployment (AOR=1.8, CI= 1.2-2.6) and earning an income below ZAR1200 (AOR= 1.1, CI= 1.1-2.4) were significant and independent predictors of METs. Participants aged 26 and above were four times more likely to have METs. Married non-alcohol users and unemployed participants were two times more likely to have METs than unmarried alcohol users and employed individuals.Conclusion:There was a high prevalence of metabolic syndrome among the participants which indicates a high risk for cardiovascular diseases; a leading cause of premature morbidity and mortality.

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“…It has increased two-fold the risk of cardiovascular disease and five- to nine-fold the risk of type 2 diabetes, compared with those who did not have MS23. In addition, MS has a 40% increased risk of cardiovascular disease mortality45, and the prevalence of MS has varied around 20–45% worldwide67.…”

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confidence: 99%

Prevalence of metabolic syndrome and its risk factors among rural adults in Nantong, China

Xiao

Gao

et al. 2016

Sci Rep

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The prevalence of metabolic syndrome (MS) varies worldwide due to genetic and environmental factors. A population-based cross-sectional study, with 37,582 participants recruited in Nantong, China in 2007-2008 (stage I) and 2013 (stage II). Socio-demographic, lifestyle factors, disease history and fasting blood sample were collected. The prevalence of MS was much higher in 2013 (42.6%) than that in 2007-2008 (21.6%), which was significantly higher in older people in both stages. Participants with two or more familial history of diseases were associated with a higher MS prevalence compared to those who didn’t have familial history of diseases. Total physical activity (PA) was associated with 24 and 19% decreased risk of MS in men and women. Occupational PA in moderate and vigorous intensity was associated with a 25%-45% decreased risk of MS. Female smokers who smoked more than 10 cigarettes per day or over 25 years were associated with 96 and 74% increased MS risk, respectively. The highest quartile of rice wine consumption was associated with a lower risk of MS with OR of 0.63 in women, compared with female non-drinkers. These findings indicated that PA and rice wine are two protective factors in MS prevention in rural areas of East China.

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Association between Lifestyle Factors and Metabolic Syndrome among African Americans in the United States

Cited by 26 publications

References 29 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

Prevalence and Correlates of Metabolic Syndrome Among Adults Attending Healthcare Facilities in Eastern Cape, South Africa

Prevalence of metabolic syndrome and its risk factors among rural adults in Nantong, China

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