scholarly journals Prevalence and correlates of multiple non-communicable diseases risk factors among adults in Sudan: Results of the first national STEPS survey in 2016

2020 ◽  
Author(s):  
Supa Pengpid ◽  
Karl Peltzer

Abstract Background Non-communicable diseases (NCDs) are on the rise in low- and middle-income countries. The aim of this study was to assess the prevalence and correlates of multiple NCD risk factors among adults in Sudan. Methods Cross-sectional nationally representative data were analysed from 7,722 18–69 year-old individuals (median age = 36 years) that took part in the “2016 Sudan STEPS survey.” Results The prevalence of individual NCD risk factors was 94.6% inadequate fruit and vegetable intake, followed by hypertension (31.6%), general overweight/obesity (28.0%), low physical activity (21.3%), current tobacco use (15.7%), raised total cholesterol (13.6%), diabetes (5.9%), and heavy episodic drinking (1.7%). In all, 34.2% had 0–1 NCD risk factor, 33.5% 2 risk factors, and 32.4% 3 or more NCD risk factors. In adjusted ordinal logistic regression analysis, compared to individuals 18–34 years old, persons 50–69 years old were 3.52 times (AOR: 3.52, 95% CI: 2.88–4.31) more likely to have multiple NCD risk factors. Men were 21% (AOR: 1.21, 95% CI: 1.00-1.46) more likely than women to have multiple NCD risk factors. Individuals residing in urban areas were 86% (AOR: 1.86, 95% CI: 1.49–2.32) more likely than individuals residing in rural areas to have multiple NCD risk factors, and compared to persons never married, married participants and persons separated, divorced or widowed persons were 51% (AOR: 1.51, 95% CI: 1.22–1.87) and 74% (AOR: 1.74, 95% CI: 1.22–2.47), respectively, more likely to have multiple NCD risk factors. Compared to persons with less than 500 pounds household income, persons with over 2000 pounds household income were 75% (AOR: 1.75, 95% CI: 1.28–2.38) more likely to have multiple NCD risk factors. Compared to women who cannot read or write, women who had more than primary education were 38% (AOR: 1.38, 95% CI: 1.06–1.80) more likely to have multiple NCD risk factors. Compared to men who were self-employed, engaged in non-paid work, were students or unemployed (able to work), government employees, non-government employees, retired or unemployed (unable to work) had a significantly higher odds of having multiple NCD risk factors. Conclusion Almost one in three participants had three or more NCD risk factors and several associated variables were identified that can facilitate in designing intervention programmes.

2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Luc H Pham ◽  
Thuy B Au ◽  
Leigh Blizzard ◽  
Nhan B Truong ◽  
Michael D Schmidt ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0208872 ◽  
Author(s):  
JS Thakur ◽  
Gursimer Jeet ◽  
Ria Nangia ◽  
Divya Singh ◽  
Sandeep Grover ◽  
...  

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Tran Quoc Bao ◽  
Van Minh Hoang ◽  
Vu Hoang Lan ◽  
Bui Phuong Linh ◽  
Kim Bao Giang ◽  
...  

Author(s):  
Riyaz Ahmad S. ◽  
Mohd Haroon Khan ◽  
M. Athar Ansari

Background: Non-communicable diseases (NCD) are now recognized as major cause of morbidity and mortality. All countries, irrespective of their stage of economic development or demographic and epidemiological transition, face an increasing burden of non-communicable diseases (NCDs). The objective of the study was to estimate the prevalence of risk factors associated with non-communicable diseases.Methods: This is a community based cross sectional study conducted at field practice areas of the urban and rural health training centers, Department of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh. 640 study subject’s age group 18-65 years. Systematic random sampling and proportionate to population size method (PPS). SPSS version 13 and Chi-square was used to analyse the data.Results: The age group for the present study was chosen to be 18-65 years of age. The study population consisted of 340 females and 300 males. 27.1% belong to younger age group (18-25 years), whereas in urban areas majority (27.3%) belongs to 26-35 years age group. Also, the study group comprised of higher percentage of females (53%) compared to males (47%).129 (20.2%) subjects were found to be current smokers. Only 4 (1.3%) women were smokers. The prevalence of smokeless tobacco use which was found to be 21.6% (28.3% in males and 15.6% in females). The prevalence of current alcohol use in our study to be 10.3% in males and 0.6% in females. The overall prevalence of alcohol use was 5.2%. Alcohol use showed inverse relation with socioeconomic class, About 87% of the respondents did not have sufficient intake of fruits and vegetables. The physical inactivity during work was more in males (30.7%) compared to females (15.5%. Mean body weight, BMI and waist circumference showed significant changes with age in both sexes.Conclusions: It can be concluded from our study that the burden of risk factors for non-communicable diseases (NCDs) among the rural and urban areas of Aligarh is quite high.


PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134834 ◽  
Author(s):  
Krishna Kumar Aryal ◽  
Suresh Mehata ◽  
Sushhama Neupane ◽  
Abhinav Vaidya ◽  
Meghnath Dhimal ◽  
...  

PLoS ONE ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. e20316 ◽  
Author(s):  
Kelias P. Msyamboza ◽  
Bagrey Ngwira ◽  
Titha Dzowela ◽  
Chimwemwe Mvula ◽  
Damson Kathyola ◽  
...  

Author(s):  
Ajibola Idowu ◽  
Adesegun O. Fatusi ◽  
Folakemi O. Olajide

Abstract Background: Non-communicable diseases (NCDs) have become the leading cause of deaths globally and the key associated risk factors – alcohol abuse, physical inactivity, cigarette smoking and poor dietary patterns – are often initiated in adolescence. Co-existence of these risk factors further increase the risk for NCDs. Yet, very little is known about the pattern of co-occurrence of behavioural risk factors for NCDs among Nigerian adolescents, especially those in rural areas. This study aimed to assess the prevalence and determinants of clustering patterns of behavioural risk factors for NCDs among in-school adolescents in rural areas of Osun State, Nigeria. Methods: This cross-sectional study involved 476 adolescents recruited through multi-stage sampling across Osun State. Data were collected through a facilitated self-administered questionnaire with questions adapted from the Global School-Based Health Survey (GSHS) instrument. Data were analysed using Stata, with binary logistic regression used to identify determinants. Results: The mean age of the respondents was 14.7±2.0 years and females constituted 50.2% of them. Among the respondents, 36.1% had reported consuming alcoholic drinks but no one met the criteria for harmful alcohol use, while 8.8% had ever smoked cigarettes and only one respondent (0.2%) was a current smoker. The prevalence of poor diet (89.5%) and physical inactivity (85.9%) was, however, high. Poor diet and physical inactivity co-occurred in 369 (77.5%) respondents, while one respondent (0.2%) had three risk factors (poor diet, physical inactivity and current smoking). Being in a senior secondary school class (odds ratio, OR=1.6; 95% confidence interval, C.I.=1.04–2.39) and living with parents (OR=0.53; 0.33–0.90) were significantly associated with clustering of NCD behavioural risk factors. Conclusion: The prevalence of clustering of modifiable risk factors for NCDs was high among rural-based in-school adolescents in south-west Nigeria, and there is a need to mount effective interventions. Findings from this study have the potential to inform effective school-based NCD control programmes.


2015 ◽  
Vol 15 (1) ◽  
Author(s):  
M. Mostafa Zaman ◽  
Mahfuzur Rahman Bhuiyan ◽  
Nazmul Karim ◽  
Moniruz Zaman ◽  
Mukhlesur Rahman ◽  
...  

2020 ◽  
Vol 21 (3) ◽  
pp. 336-357
Author(s):  
Jafar Yahyavi Dizaj ◽  
◽  
Faroogh Na'emani ◽  
Mohsen Fateh ◽  
Manijeh Soleimanifar ◽  
...  

Objective: Demographic and epidemiological changes in the 21st century have created new challenges such as aging and the rising trend of non-communicable diseases. The high prevalence of disability (due to the growing aging population), non-communicable diseases, and accidents have increased the demand for rehabilitation services. However, there are not enough resources to meet all current needs in many parts of the world. The purpose of this study is to investigate the inequality in the utilization of rehabilitation services between Iranian households in urban and rural areas. Materials & Methods: This is a descriptive-analytical study with a cross-sectional design using the household expenditure, income survey data from the Statistics Center of Iran in 2018. The used instrument was a questionnaire surveying the expenditure and income of urban and rural households (social characteristics of household members, place of residence and main living facilities, food/non-food expenses, and household income), which was completed through interviewing the household head or a member over 15 years of age. The study samples were 18610 households in rural areas and 20348 households in urban areas. After extracting and refining the data, 38958 households were included in the study. Factors affecting their utilization of rehabilitation services and the inequality in utilization were analyzed using the Chi-square test and the concentration index (CI), respectively. Data were extracted in MS Access 2013 and MS Excel 2013 applications and were analyzed in STATA V.14.1 software. The geographic distribution of the service utilization was plotted using ArcGIS Map V. 10 software. Results: A total of 258 households (0.77%) used rehabilitation services. Of these, 226 (87%) had a male head, and 32 (13%) had a female head. About 60% had 3-4 members, and 239 (92%) had insurance coverage, and others (8%) had no insurance coverage. Also, 173 (67%) had an employed head. Finally, 55% were living in rural areas, and 45% in urban areas. Uninsured households had less use of rehabilitation services (P<0.05). Also, 1.32% of the fifth income quintile (highest income) used rehabilitation services, while this rate was 0.35% for households in the first quintile (P<0.001). Zanjan, Qazvin, Khuzestan, Isfahan, Lorestan, Bushehr, and Semnan provinces had the lowest service utilization rates in urban/rural areas and the whole country. Qom province had a better status regarding service utilization in urban areas, while East Azerbaijan, Mazandaran, Golestan, Yazd, Fars, and Hormozgan provinces had higher service utilization rates in rural areas. Overall, East Azerbaijan, Mazandaran, and Qom provinces had a higher rate of utilization. The CI value for the whole country was reported at 0.24 (95% CI: 0.17-0.30), indicating a higher inequality in utilization in favor of the rich. The CI values for rural and urban areas were 0.27 and 0.19, respectively (P<0.001). Conclusion: There is inequality in the utilization of rehabilitation services in favor of the rich households in Iran, and low-income households have lower access to these services. The inclusion of rehabilitation services in the primary health insurance package with appropriate pricing and population coverage, and fair distribution of rehabilitation services following the needs of public and private sectors, can increase the access and utilization of rehabilitation services.


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