The South Asian Heart Lifestyle Intervention (SAHELI) study to improve cardiovascular risk factors in a community setting: Design and methods

Kandula, Namratha R.; Patel, Yasin; Dave, Swapna S.; Seguil, Paola; Kumar, Santosh; Baker, David W.; Spring, Bonnie; Siddique, Juned

doi:10.1016/j.cct.2013.09.007

Cited by 29 publications

(19 citation statements)

References 56 publications

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“…Culturally and ethnically diverse groups and rural communities have been a common focus for studies identifying CHD risk factors. 42,43 While ethnicity was beyond the scope of the current study, this factor may potentially be explored in later studies which include both the local and expatriate populations of Oman.…”

Section: Discussionmentioning

confidence: 99%

Knowledge of Coronary Heart Disease Risk Factors among a Community Sample in Oman: Pilot study

Ammouri¹,

Tailakh²,

Isac³

et al. 2016

SQUMJ

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abstract:Objectives: The aim of this study was to assess the knowledge of Omani adults regarding conventional coronary heart disease (CHD) risk factors and to identify demographic variables associated with these knowledge levels. Methods: This descriptive cross-sectional pilot study was carried out among a convenience sample of 130 adults attending a health awareness fair held in a local shopping mall in Muscat, Oman, in November 2012. A modified version of the Heart Disease Facts Questionnaire in both English and Arabic was used to assess knowledge of CHD risk factors. Scores were calculated by summing the correct answers for each item (range: 0-21). Inadequate knowledge was indicated by a mean score of <70%. Descriptive and multivariate logistic regression analyses were performed to establish the participants' knowledge levels and identify associated demographic variables. Results: A total of 114 subjects participated in the study (response rate: 87.7%). Of these, 69 participants (60.5%) had inadequate mean CHD knowledge scores. Knowledge of CHD risk factors was significantly associated with body mass index (odds ratio [OR] = 0.739; P = 0.023), marital status (OR = 0.057; P = 0.036) and education level (OR = 9.243; P = 0.006). Conclusion: Low knowledge levels of CHD risk factors were observed among the studied community sample in Oman; this is likely to limit the participants' ability to engage in preventative practices. These findings support the need for education programmes to enhance awareness of risk factors and prevention of CHD in Oman. Sultan Qaboos University Med J, May 2016, Vol. 16, Iss. 2, pp. 189-196, Epub.

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Section: Discussionmentioning

confidence: 99%

Knowledge of Coronary Heart Disease Risk Factors among a Community Sample in Oman: Pilot study

Ammouri¹,

Tailakh²,

Isac³

et al. 2016

SQUMJ

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“…Knowledge on unhealthy behavior pattern of people with metabolic syndrome is considered crucial for creating a tailored lifestyle intervention program and a tailored regimen might help patients with metabolic syndrome to be motivated to change unhealthy behaviors [11,12]. The purpose of this study was to investigate the clustering pattern of four major lifestyle risk factors—smoking, heavy drinking, poor diet, and physical inactivity—among people with metabolic syndrome in South Korea.…”

Section: Introductionmentioning

confidence: 99%

Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome

Ha¹,

Choi²,

Lee³

2017

PLoS ONE

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The purpose of this study was to investigate the clustering pattern of four major lifestyle risk factors—smoking, heavy drinking, poor diet, and physical inactivity—among people with metabolic syndrome in South Korea. There were 2,469 adults with metabolic syndrome aged 30 years or older available with the 5th Korean National Health and Nutrition Examination Survey dataset. We calculated the ratio of the observed to expected (O/E) prevalence for the 16 different combinations and the prevalence odds ratios (POR) of four lifestyle risk factors. The four lifestyle risk factors tended to cluster in specific multiple combinations. Smoking and heavy drinking was clustered (POR: 1.86 for male, 4.46 for female), heavy drinking and poor diet were clustered (POR: 1.38 for male, 1.74 for female), and smoking and physical inactivity were also clustered (POR: 1.48 for male). Those who were male, younger, low-educated and living alone were much more likely to have a higher number of lifestyle risk factors. Some helpful implications can be drawn from the knowledge on clustering pattern of lifestyle risk factors for more effective intervention program targeting metabolic syndrome.

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“…, while 127 of those full-texts were excluded (Table 1) (McIver, 2010;Cheung et al, 2012;Corey et al, 2014;LaCroix et al, 2012;Sharma et al, 2013;Singh et al, 2011;Hoogbruin et al, 2012;Lai et al, 2010;Trivedi and Mishra, 2014;Bock et al, 2010;Bock et al, 2014;Cheema et al, 2011;Cohen et al, 2013;Kandula et al, 2013; Neumark-Sztainer et al, 2011;Flaherty, 2014;Guarracino et al, 2006;Ades et al, 2003;Ankad Roopa et al, 2011;Armstrong and Scott Smedley, 2003;Bhutkar et al, 2011;Choudhary and Mishra, 2013;Hunter et al, 2013;Malhotra et al, 2005;Murthy et al, 2011;Nagarathna and Nagendra, 1987;Raj et al, 2011;Ramos-Jimenez et al, 2009;Sarvottam et al, 2013;Satyanarayana et al, 1992;Sivasankaran et al, 2006;Telles et al, 1993;Telles et al, 2010;Thomley et al, 2011;Villien et al, 2005;Yadav et al, 2012;Yadav et al, 2014;Yang and James, 2014;Begum et al, 2012;Cajka et al, 2013;Čajka et al, 2012;…”

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confidence: 99%

A systematic review and meta-analysis on the effects of yoga on weight-related outcomes

Lauche

Langhorst

Lee

et al. 2016

Preventive Medicine

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Introduction. Overweight and obesity are among the most important modifiable risk factors for chronic diseases and premature death. The aim of this review was to systematically assess and analyze the effects of yoga on weight-related outcomes.Methods. Medline/PubMed, Scopus, and the Cochrane Library were screened through March 2015 for randomized controlled trials on yoga for weight-related outcomes in the general population or overweight/obese individuals. Risk of bias was assessed using the Cochrane risk of bias tool on the following domains: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias.Results. Out of 445 records identified during literature search, 30 trials with a total of 2173 participants were included. No effects on weight, body mass index, body fat percentage or waist circumference were found. In studies with healthy adult participants an effect of yoga compared to usual care was found regarding waist/hip ratio (SMD =-− 1.00; 95% CI =-− 1.44, − 0.55; p b 0.001). In studies with overweight/obese participants only, effects relative to usual care were found for body mass index (SMD = −0.99; 95% CI = −1.67, −0.31; p = 0.004). Effects however were not robust against selection bias; and publication bias could not be ruled out. No intervention-related adverse events were reported.Conclusions. Despite methodological drawbacks, yoga can be preliminarily considered a safe and effective intervention to reduce body mass index in overweight or obese individuals.

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The South Asian Heart Lifestyle Intervention (SAHELI) study to improve cardiovascular risk factors in a community setting: Design and methods

Cited by 29 publications

References 56 publications

Knowledge of Coronary Heart Disease Risk Factors among a Community Sample in Oman: Pilot study

Knowledge of Coronary Heart Disease Risk Factors among a Community Sample in Oman: Pilot study

Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome

A systematic review and meta-analysis on the effects of yoga on weight-related outcomes

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