Framingham Risk Score for the prediction of cardiovascular risk in Saudi population

Hetari, Yasmeen; Iyer, Archana; Eldesouky, Said S M; Alama, Nabil; Aldaqal, Saleh M.; Kumosani, Taha

doi:10.18035/emj.v2i1.57

Cited by 3 publications

(6 citation statements)

References 21 publications

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“…This could be attributed to the clustering of either diabetes and/or hypertension among Saudi males. Our results are in accordance with those reported by Hetari et al [9].…”

Section: Discussionsupporting

confidence: 94%

“…Saudi Arabia, considered a rapidly developing country, faces progressive urbanization and the fast adoption of a western lifestyle, factors might contribute to the raising burden of cardiovascular disease [8]. Hetari et al [9] reported that obese adults without clinical CVD may already have a clustering of traditional CVD risk factors especially modifiable ones. Primary prevention of CVS is very important to reduce both morbidity & mortality of CVD [10].…”

Section: Introductionmentioning

confidence: 99%

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Association between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region

Saad

Abdel-Latif

2016

BJPR

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“…This could be attributed to the clustering of either diabetes and/or hypertension among Saudi males. Our results are in accordance with those reported by Hetari et al [9].…”

Section: Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Association between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region

Saad

Abdel-Latif

2016

BJPR

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“…This could be attributed to the clustering of either diabetes and/or hypertension among Saudi males. Our results are in accordance with those reported by Hetari et al [9]. Obese adults without CVD may already have a clustering of traditional cardiovascular risk factors [9,21].…”

Section: Discussionsupporting

confidence: 94%

“…Hetari et al [9] reported that obese adults without clinical CVD may already have a clustering of traditional CVD risk factors especially modifiable ones. Primary prevention of CVS is very important to reduce both morbidity and mortality of CVD [10].…”

Section: Introductionmentioning

confidence: 99%

Correlation between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region

Saad¹,

Latif²

2017

Epidemiology (Sunnyvale)

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The study aimed to characterize the major cardiovascular risk factors using Framingham Risk Score (FRS) among Saudis. A cross-sectional study was conducted to investigate the expected 10 years FRS for cardiovascular diseases (CVD) among Saudi subjects. In the present study there was a significant association between the 10 years risk of developing CHD and BMI. The results revealed an increase in BMI contributing to significant increase in the 10 years risk of CHD among males. The overall distribution of FRS among males regardless the BMI category as a percentage of the total male subjects revealed that males were at low, medium and high CHD risk of 71.4%, 14.27% and 14.3%, respectively. However, female subjects showed 91.5%, 4.8% and 3.6% at low, medium and high FRS, respectively. Moreover, significant increases in the Odd ratio amounting to 4.58 and 5.24 among intermediate and high risk males in comparison with female ones, respectively. BMI strongly correlates with the expected 10 years FRS for CVD. Also there is a gender specific susceptablity for CVD risk among Saudi males compared to female ones. Socioeconomic, behavioral, awareness about healthy choices and genetic characteristics of obesity should be taken in consideration since extrapolating other population's studies to Saudi one might be misleading.

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“…Also, this study observed significant variations in average monthly frequency of births and this is in agreement with reports from other parts of the world. In India, the maximum number of births occurred in August to October and minimum in the month of January [3, 29]. Odegard observed a September peak in Norway and hypothesised that this could be due to maximum conception during the traditional mid-winter festivities [30].…”

Section: Discussionmentioning

confidence: 99%

Linear trends and seasonality of births and perinatal outcomes in Upper East Region, Ghana from 2010 to 2014

Osei

Agbemefle

Kye-Duodu

et al. 2016

BMC Pregnancy Childbirth

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BackgroundSeasonal variations greatly influence birth patterns differently from country to country. In Ghana, there is paucity of information on birth seasonal patterns. This retrospective study described the trends and seasonality of births and perinatal outcomes in Upper East Region of Ghana.MethodsBirths occurring in each month of the calendar years (2010–2014; inclusive) were extracted from the District Health Information Management System (DHIMS2) database of the Bolgatanga Municipal Health Directorate and exported into Microsoft Excel spread sheet and Epi Ifo for analysis. Analysis was carried out by calculating average number of births per month correcting for unequal month length using 30 days. A Chi-square test for trend was performed to check for statistical significance (p < 0.05) in trends and seasonality of birth and perinatal outcomes.ResultsThere were 24,171 health facility deliveries, of which 97.7 % were singleton deliveries and 2.3 % were multiple (two or three) deliveries. There was a consistent rise in the annual health facility deliveries controlled for the number of fertile women, from 4169 in 2010 to 5474 in 2014 (p < 0.0001). Monthly birth distribution displayed a periodic pattern with peaks in May, September and October and troughs during the months of January, February and July (p < 0.0001). Women were likely to give birth during the raining season than the dry season. Caesarean Section (CS) rate showed a steady rise over the years (124 per 1000 births in 2010 to 185 per 1000 births in 2014 (p < 0.0001) with overall rate of 14.6 %. Stillbirth (SB) rate, however decreased slightly over the years from 29 per 1000 births to 23 per 1000 births (p = 0.197) with overall SB rate of 2.6 %. Similarly, Low Birth Weight (LBW) declined from 77 per 1000 live births to 71 per 1000 live births from 2010 to 2014 (p < 0.0001). Seasonal (rainy and dry) distributions did not show a clear difference in birth frequencies.ConclusionHealth facility delivery was persistently high in the Bolgatanga Municipality with birth peaking in May, September and October. Despite the rising rate of caesarean section, stillbirth rate did not significantly improved over the years. A prospective study may reveal the reasons for the increasing caesarean section rate. Additionally, understanding the factors that affect the decreasing trends of low birth weight in the municipality is crucial to public health policy makers in Ghana.

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Framingham Risk Score for the prediction of cardiovascular risk in Saudi population

Cited by 3 publications

References 21 publications

Association between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region

Association between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region

Correlation between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region

Linear trends and seasonality of births and perinatal outcomes in Upper East Region, Ghana from 2010 to 2014

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