scholarly journals Chronic diseases of lifestyle risk factor profiles of a South African rural community

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mukadas O. Akindele ◽  
Ushotanefe Useh
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Chronic Diseases ◽  
Rural Community ◽  
Physical Inactivity ◽  
Sedentary Lifestyle ◽  
Disease Risk ◽  
Survey Design ◽  
History Of

Globally, chronic diseases of lifestyle account for millions of dollars spent annually on health. These diseases share similar risk factors including: physical inactivity, obesity, cigarette smoking, and hypertension among others. This study sought to assess risk factors for chronic diseases of lifestyle of a rural community in South Africa. This study used a survey design with data randomly collected using the WHO STEPS Instrument for Chronic Disease Risk Factor Surveillance from participants who attended routine checks from February to October 2018 from a trained healthcare practitioner. Informed consent was sought from all participants before the administration of the instrument. The research setting was the community Primary Health Center. About 54.0% of participants presented with no family history of hypertension but 19.7% had a family history of type II diabetes mellitus. More women were found to be hypertensive, with the majority (93.4%) monitoring their blood pressure. The study revealed that more men were current smokers. A large number of participants were engaged in a sedentary lifestyle with about one-third of the participants reported being obese. Physical inactivity, sedentary lifestyle, and hypertension were among the lifestyle-related risk factors for chronic diseases among residents of this rural community.

scholarly journals Prevalence of Cardiovascular Disease Risk Factors among People in Hail City, Saudi Arabia

2021 ◽  
pp. 22-32
Author(s):  
Mona Madbouly Mohammad Shahin ◽  
Madiha Rabie Mahmoud ◽  
Hanan Odah Salem Al-Shmaily ◽  
Salma Rshed Mohammed Altamimy ◽  
Lama Abdulaziz Saud Alanzi
Keyword(s):  
Risk Factors ◽  
Saudi Arabia ◽  
Family History ◽  
Physical Inactivity ◽  
Fruits And Vegetables ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cvd Risk ◽  
Fast Foods ◽  
History Of

Background: Cardiovascular diseases (CVDs) are the number one cause of death globally, and representing 31% of all global deaths according to WHO. So, this study may be useful to detect the risk factors of CVDs and how to prevent them to help in reducing the rate of deaths due to these diseases. Aim: To estimate the prevalence of CVD risk factors in Hail region, Saudi Arabia (KSA). Methods: The study was carried out through an observational cross-sectional study on 300 participants from Hail region including both genders (females 231 [77%] & males 69 [23%]) with age group range from 18 years-old and above. The study was conducted using an electronic questionnaire, and the data was analyzed using Software Statistical Package for the Social Science (SPSS) version 23. Results: The highest risk factor for CVDs was obesity, the total number of overweight, obese and extremely obese was 171 (57%) which was more pronounced with peoples at the age of 31-45 years old. Other risk factors that were found in our participants were hypertension (8.3%), diabetes mellitus(DM, 7.3%),family history of diseases (80.4%), consuming insufficient amounts of fruits and vegetables (62.7%), always drinking coffee (60.9%), physical inactivity (34.7%), consuming fast foods more than one time per week (32.4%) and smoking 10.3%.We can conclude that many risk factors for CVDs were prevalent among Hail population either non modifiable (family history of diseases) or modifiable (obesity, physical inactivity, fast foods, insufficient amounts of fruits and vegetables) showed a considerable percentage which needs awareness programs for Hail population.

scholarly journals MYOCARDIAL INFARCTION IN YOUNG ADULTS: ITS, CLINICAL PRESENTATION AND RISK FACTORS.

2019 ◽  
Vol 3 (10) ◽  
Author(s):  
Dr. Umesh Teltumbadr
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Factor ◽  
Family History ◽  
Physical Inactivity ◽  
Clinical Presentation ◽  
Golden Hour ◽  
History Of ◽  
Premature Cad

INTRODUCTION:  Coronary heart disease (CHD) is the leading cause of death in the Western countries. Acute myocardial infarction (AMI) in young is relatively uncommon but it is of great concern for the physician as these patients present with the different clinical presentation, risk factors and better prognosis than the older patients. In younger patients and the first onset of angina which rapidly progresses to fully evolved MI is often the case in patients less than 45 years of age. In a young patient presenting with MI care full history should be taken and risk factors such as smoking, obesity, diabetes and history of recurrent venous and arterial thrombosis should also be noted. MATERIAL AND METHODS: 34 patients of age >18 years and <45 years were included in the study who presented with the acute myocardial infarction. Informed consent was obtained from all the patients who were included in the study. Clinical presentation and risk factors were recorded in the prescribed format. Anthropometric and clinical examination was carried out for each patient. Body weight and height were measured and Body mass index (BMI) was calculated using Quetlet’s formula as weight in kg/square of the height in meters. RESULTS: Mean age of the patients presenting with acute MI was 32± 6.21years. The youngest patient was 27 years old while the most common age group was 35-40 with 17(50%) patients. Out of 34 patients 33 (97.05%) were male while only 1 (2.95%) was female. Maximum patients were from urban area 22 (64.70%) while 12 (35.29%) were from the rural area. Smoking and physical inactivity was the most common associated risk factor in MI patients 29(85.29%). All smokers were male. Second most common risk factor was obesity and stressful life 18(52.94%) followed Hypertension in 13(38.24%) cases. In 12(35.29%) cases diabetes was associated as a risk factor. Family history of premature CAD, and dyslipidemia was seen in 11(32.35%) and 8(23.53%) cases respectively. CONCLUSION: Smoking, Physical inactivity, family history of premature CAD, and obesity were the most common risk factors. Early stabilisation in golden hour should be followed by risk stratification, and early revascularisation.

The burden of cardiovascular disease risk factors in the Middle East: A systematic review and meta-analysis focusing on primary prevention

2020 ◽  
Vol 18 ◽  
Author(s):  
Akshaya Srikanth Bhagavathula ◽  
Abdullah Shehab ◽  
Anhar Ullah ◽  
Jamal Rahmani
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiovascular Disease ◽  
Family History ◽  
Primary Prevention ◽  
Middle East ◽  
Disease Risk ◽  
Meta Analysis ◽  
Middle Eastern ◽  
History Of

Background: The increasing incidence of cardiovascular disease (CVD) threatens the Middle Eastern population. Several epidemiological studies have assessed CVD and its risk factors in terms of the primary prevention of CVD in the Middle East. Therefore, summarizing the information from these studies is essential. Aim: We conducted a systematic review to assess the prevalence of CVD and its major risk factors among Middle Eastern adults based on the literature published between January 1, 2012 and December 31, 2018 and carried out a meta-analysis. Methods: We searched electronic databases such as PubMed/Medline, ScienceDirect, Embase and Google Scholar to identify literature published from January 1, 2012 to December 31, 2018. All the original articles that investigated the prevalence of CVD and reported at least one of the following factors were included: hypertension, diabetes, dyslipidaemia, smoking and family history of CVD. To summarize CVD prevalence, we performed a random-effects meta-analysis. Results: A total of 41 potentially relevant articles were included, and 32 were included in the meta-analysis (n=191,979). The overall prevalence of CVD was 10.1% (95% confidence interval (CI): 7.1-14.3%, p<0.001) in the Middle East. A high prevalence of CVD risk factors, such as dyslipidaemia (43.3%; 95% CI: 21.5-68%), hypertension (26.2%; 95% CI: 19.6-34%) and diabetes (16%; 95% CI: 9.9-24.8%), was observed. The prevalence rates of other risk factors, such as smoking (12.4%; 95% CI: 7.7-19.4%) and family history of CVD (18.7%; 95% CI: 15.4-22.5%), were also high. Conclusion: The prevalence of CVD is high (10.1%) in the Middle East. The burden of dyslipidaemia (43.3%) in this region is twice as high as that of hypertension (26.2%) and diabetes mellitus (16%). Multifaceted interventions are urgently needed for the primary prevention of CVD in this region.

scholarly journals Faktor Risiko Terjadinya Penyakit Jantung Koroner pada Pasien di Unit Rawat Jalan Rumah Sakit Panti Rapih Yogyakarta

2020 ◽  
Vol 1 (1) ◽  
pp. 21-30
Author(s):  
Deviana Widayanti ◽  
Chatarina Setya Widyastuti
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Family History ◽  
Disease Risk ◽  
Sampling Technique ◽  
Excess Body Weight ◽  
History Of ◽  
Lack Of Exercise

Background: Coronary Heart Disease (CHD) Is a condition when the arteries that supply blood to the heart wall experience hardening and narrowing. It is estimated that 30% of coronary heart disease causes death worldwide. Objective: This study aims to determine the risk factors for CHD in Panti Rapih Hospital. Methods: This descriptive study aims to determine the risk factors for CHD in outpatients at Panti Rapih Hospital. The population is patients who have been diagnosed with coronary heart disease and the sample was taken by 50 respondents with non-random accidental sampling technique. This research take the data use questionnaire and make univariat analysis. Results: Risk factors for CHD are a number of factors that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight42% and lack of exercise 38%. Conclusion: Risk factors for CHD that cannot be changed: family history of 42%, age = 40 years 95% in men and 95% age = 65 years in women. Factors that can be changed are: Smoking 78%, history of hypertension 68%, history of diabetes mellitus 28%, dyslipidemic 90%, excess body weight 42% and lack of exercise 38%.     Keywords: coronary heart disease, risk factors

Abstract NS6: Family History of Stroke: Invisibility of a Key Stroke Risk Factor among High Risk African Americans

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Dawn M Aycock ◽  
Kenya D Kirkendoll ◽  
Kisha C Coleman ◽  
Karen C Albright ◽  
Anne W Alexandrov
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Perceived Control ◽  
Stroke Risk ◽  
Perceived Threat ◽  
Stroke Risk Factor ◽  
Stroke Risk Factors ◽  
History Of ◽  
Physiologic Data

Background & Purpose: Young to middle aged African Americans (AA) are at greater risk for a first-ever stroke, severe neurologic disability, and stroke-related mortality, than Caucasians of similar age; however, it remains unclear what role a family history of stroke (FHS) plays in promoting adoption of healthier lifestyles in this cohort. The purpose of this study was to explore differences between rural Stroke Belt AA with a FHS (e.g. parent/grandparent/sibling) on modifiable stroke risk factors, knowledge, perceived threat and perceived control of stroke, and exercise behaviors to AA without a FHS. Methods: A cross-sectional study was conducted recruiting AA aged 19-54 from the Black Belt region of Alabama via a mobile health clinic. Participants’ perceptions, knowledge, exercise history/intent, physiologic data, and health history were recorded. Results: Participants (N=66) averaged 43.3+9.4 years, were 71% female, with at least 12 years of school (89%), and unemployed (62%). Common risk factors were insufficient exercise (76%), obesity (59%), hypertension (53%; blood pressure M=145+17.6/88.3+12.9), and cigarette smoking (38%). Participants with a FHS (n=33) did not differ on average number of risk factors compared to those without a FHS (FHS 2.8+1.4 vs. 2.2+1.5; t(64)= 1.73, p=.089), nor did they differ on physiologic data. However, participants with a FHS were more likely to report a history of hypertension (67%) compared to those without a FHS (33%; χ2 =4.93, p <.05). There were no significant differences between groups for knowledge of stroke risk factors, perceived threat and perceived control of stroke, or recent exercise performance, although participants with a FHS (3.4+1.2) had significantly lower future intentions to exercise compared to those without a FHS (3.9+0.8); t(64)=2.45, p<.05). Conclusions: Although FHS is a significant non-modifiable risk factor for stroke and was common in this young to middle-aged AA cohort, FHS did not drive perceived stroke risk, risk factor control, or current/future intentions to exercise. Identification of interventions designed to personalize FHS as a key stroke risk factor, while promoting lifestyle change and self-management, may play an important role in future primary stroke prevention.

scholarly journals Prevalence of germline BRCA mutations in HER2-negative metastatic breast cancer: global results from the real-world, observational BREAKOUT study

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Joyce O’Shaughnessy ◽  
Christine Brezden-Masley ◽  
Marina Cazzaniga ◽  
Tapashi Dalvi ◽  
Graham Walker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Ovarian Cancer ◽  
Risk Factor ◽  
Metastatic Breast Cancer ◽  
Family History ◽  
Metastatic Breast ◽  
Cytotoxic Chemotherapy ◽  
First Line ◽  
History Of

Abstract Background The global observational BREAKOUT study investigated germline BRCA mutation (gBRCAm) prevalence in a population of patients with human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC). Methods Eligible patients had initiated first-line cytotoxic chemotherapy for HER2-negative MBC within 90 days prior to enrollment. Hormone receptor (HR)-positive patients had experienced disease progression on or after prior endocrine therapy, or endocrine therapy was considered unsuitable. gBRCAm status was determined using baseline blood samples or prior germline test results. For patients with a negative gBRCAm test, archival tissue was tested for somatic BRCAm and homologous recombination repair mutations (HRRm). Details of first-line cytotoxic chemotherapy were also collected. Results Between March 2017 and April 2018, 384 patients from 14 countries were screened and consented to study enrollment; 341 patients were included in the full analysis set (median [range] age at enrollment: 56 [25–89] years; 256 (75.3%) postmenopausal). Overall, 33 patients (9.7%) had a gBRCAm (16 [4.7%] in gBRCA1 only, 12 [3.5%] in gBRCA2 only, and 5 [1.5%] in both gBRCA1 and gBRCA2). gBRCAm prevalence was similar in HR-positive and HR-negative patients. gBRCAm prevalence was 9.0% in European patients and 10.6% in Asian patients and was higher in patients aged ≤ 50 years at initial breast cancer (BC) diagnosis (12.9%) than patients aged > 50 years (5.4%). In patients with any risk factor for having a gBRCAm (family history of BC and/or ovarian cancer, aged ≤ 50 years at initial BC diagnosis, or triple-negative BC), prevalence was 10.4%, versus 5.8% in patients without these risk factors. HRRm prevalence was 14.1% (n = 9/64) in patients with germline BRCA wildtype. Conclusions Patient demographic and disease characteristics supported the association of a gBRCAm with younger age at initial BC diagnosis and family history of BC and/or ovarian cancer. gBRCAm prevalence in this cohort, not selected on the basis of risk factors for gBRCAm, was slightly higher than previous results suggested. gBRCAm prevalence among patients without a traditional risk factor for harboring a gBRCAm (5.8%) supports current guideline recommendations of routine gBRCAm testing in HER2-negative MBC, as these patients may benefit from poly(ADP-ribose) polymerase (PARP) inhibitor therapy. Trial registration NCT03078036.

scholarly journals A logistic regression analysis of risk factors in ME/CFS pathogenesis

BMC Neurology ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Eliana M. Lacerda ◽  
Keith Geraghty ◽  
Caroline C. Kingdon ◽  
Luigi Palla ◽  
Luis Nacul
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Regression Analysis ◽  
Risk Factor ◽  
Family History ◽  
Disease Onset ◽  
Healthy Controls ◽  
Lower Income ◽  
Wide Range ◽  
History Of

Abstract Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis. However, there is little consistency for many risk factor associations, thus we undertook an exploratory study of risk factors using data from the UK ME/CFS Biobank participants. We report on risk factor associations in ME/CFS compared with multiple sclerosis participants and healthy controls. Methods This was a cross-sectional study of 269 people with ME/CFS, including 214 with mild/moderate and 55 with severe symptoms, 74 people with multiple sclerosis (MS), and 134 healthy controls, who were recruited from primary and secondary health services. Data were collected from participants using a standardised written questionnaire. Data analyses consisted of univariate and multivariable regression analysis (by levels of proximity to disease onset). Results A history of frequent colds (OR = 8.26, P <= 0.001) and infections (OR = 25.5, P = 0.015) before onset were the strongest factors associated with a higher risk of ME/CFS compared to healthy controls. Being single (OR = 4.41, P <= 0.001), having lower income (OR = 3.71, P <= 0.001), and a family history of anxiety is associated with a higher risk of ME/CFS compared to healthy controls only (OR = 3.77, P < 0.001). History of frequent colds (OR = 6.31, P < 0.001) and infections before disease onset (OR = 5.12, P = 0.005), being single (OR = 3.66, P = 0.003) and having lower income (OR = 3.48, P = 0.001), are associated with a higher risk of ME/CFS than MS. Severe ME/CFS cases were associated with lower age of ME/CFS onset (OR = 0.63, P = 0.022) and a family history of neurological illness (OR = 6.1, P = 0.001). Conclusions Notable differences in risk profiles were found between ME/CFS and healthy controls, ME/CFS and MS, and mild-moderate and severe ME/CFS. However, we found some commensurate overlap in risk associations between all cohorts. The most notable difference between ME/CFS and MS in our study is a history of recent infection prior to disease onset. Even recognising that our results are limited by the choice of factors we selected to investigate, our findings are consistent with the increasing body of evidence that has been published about the potential role of infections in the pathogenesis of ME/CFS, including common colds/flu.

scholarly journals Family History–Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic Diseases

2019 ◽  
Vol 188 (8) ◽  
pp. 1563-1568
Author(s):  
Danielle Rasooly ◽  
John P A Ioannidis ◽  
Muin J Khoury ◽  
Chirag J Patel
Keyword(s):  
Family History ◽  
Association Study ◽  
Chronic Diseases ◽  
Quantitative Traits ◽  
Disease Risk ◽  
Family History Of Diabetes ◽  
Health And Nutrition ◽  
Increased Risk ◽  
History Of Disease ◽  
History Of

Abstract Family history is a strong risk factor for many common chronic diseases and summarizes shared environmental and genetic risk, but how this increased risk is mediated is unknown. We developed a “family history–wide association study” (FamWAS) to systematically and comprehensively test clinical and environmental quantitative traits (CEQTs) for their association with family history of disease. We implemented our method on 457 CEQTs for association with family history of diabetes, asthma, and coronary heart disease (CHD) in 42,940 adults spanning 8 waves of the 1999–2014 US National Health and Nutrition Examination Survey. We conducted pooled analyses of the 8 survey waves and analyzed trait associations using survey-weighted logistic regression. We identified 172 (37.6% of total), 32 (7.0%), and 78 (17.1%) CEQTs associated with family history of diabetes, asthma, and CHD, respectively, in subcohorts of individuals without the respective disease. Twenty associated CEQTs were shared across family history of diabetes, asthma, and CHD, far more than expected by chance. FamWAS can examine traits not previously studied in association with family history and uncover trait overlap, highlighting a putative shared mechanism by which family history influences disease risk.

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