Spatial Clusters of Diabetes and Physical Inactivity: Do Neighborhood Characteristics in High and Low Clusters Differ?

This study aims to find spatial clusters of diabetes and physical inactivity among a sample population in Kerala, India, and evaluate built environment characteristics within the high and low spatial clusters. Spatial clusters with a higher and lower likelihood of diabetes and physical inactivity were identified using spatial scan statistic at various radii. Built environment characteristics were captured at panchayat level and 1600 m buffer around participant location using Geographical Information Systems. Comparison of sociodemographic and built environment factors was carried out for participants within high and low spatial clusters using t tests. Ten high and 8 low spatial clusters of diabetes and 17 high and 23 low spatial clusters of physical inactivity were identified in urban and rural areas of Kerala. Significant differences in built environment characteristics were consistent for low spatial clusters of diabetes and physical inactivity in the urban scenario. Built environment characteristics were found to be relevant in both urban and rural areas of Kerala. There is an urgent call to explore spatial clustering of non-communicable diseases in Kerala and undo the one-size-fits-all approach for prevention and control of non-communicable diseases.

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Clustering of behavioural risk factors for non-communicable diseases (NCDs) among rural-based adolescents in south-west Nigeria

International Journal of Adolescent Medicine and Health ◽

10.1515/ijamh-2016-0008 ◽

2016 ◽

Vol 30 (1) ◽

Cited By ~ 4

Author(s):

Ajibola Idowu ◽

Adesegun O. Fatusi ◽

Folakemi O. Olajide

Keyword(s):

Risk Factors ◽

Rural Areas ◽

Physical Inactivity ◽

Communicable Diseases ◽

Cross Sectional ◽

Non Communicable Diseases ◽

Poor Diet ◽

Behavioural Risk Factors ◽

School Based ◽

South West

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.

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Diversity of Oral Microbiome of Women From Urban and Rural Areas of Indonesia: A Pilot Study

Frontiers in Oral Health ◽

10.3389/froh.2021.738306 ◽

2021 ◽

Vol 2 ◽

Author(s):

Armelia Sari Widyarman ◽

Citra Fragrantia Theodorea ◽

Nadeeka S. Udawatte ◽

Aradhea Monica Drestia ◽

Endang W. Bachtiar ◽

...

Keyword(s):

Pilot Study ◽

Bacterial Community ◽

Oral Hygiene ◽

Rural Areas ◽

Communicable Diseases ◽

Oral Microbiome ◽

Non Communicable Diseases ◽

Oral Microflora ◽

Urban And Rural Areas

Objective: The studies on the influence of geographical and socio-economic factors on the oral microbiome remain underrepresented. The Indonesia basic health research (RISKESDAS) 2018, showed an increasing trend in non-communicable diseases compared with the previous report in 2013. The prevalence of diabetes, heart disease, hypertension, and obesity are reported to be higher in urban areas than in rural areas. Interestingly, non-communicable diseases were found to be more prevalent in women than men. This pilot study aimed to examine the oral health and oral microbiome derived from tongue samples of healthy Indonesian women from urban and rural areas.Methods: Twenty women aged 21–47 years old from West Jakarta, residents of DKI Jakarta (n = 10) as representative of the urban area, and residents of Ende, Nangapanda, East Nusa Tenggara (n = 10) as representative of the rural area were recruited for this pilot study. The participants were evaluated by the Simplified Oral Hygiene Index (OHI-S) according to the criteria of Greene and Vermillion and divided into three groups. High-throughput DNA sequencing was performed on an Illumina iSeq 100 platform.Results: The principal component analysis displayed a marked difference in the bacterial community profiles between the urban and rural localities. The presence of manifest was associated with increased diversity and an altered oral bacterial community profile in the urban women. Two bacterial taxa were present at significantly higher levels (adjusted p < 0.01) in the urban oral microflora (Genus Prevotella and Leptotricia) could account for this difference irrespective of the individual oral hygiene status. The linear discriminant analysis effect size (LEfSe) analysis revealed several distinct urban biomarkers. At the species level, Leptotrichia wadei, Prevotella melaninogenica, Prevotella jejuni, and P. histicola, show an excellent discriminatory potential for distinguishing the oral microflora in women between urban and rural areas. Further, using SparCC co-occurrence network analysis, the co-occurrence pattern in the dominant core oral microbiome assembly was observed to be specific to its ecological niche between two populations.Conclusions: This is the first pilot study demonstrating the characterization of the oral microbiome in Indonesian women in urban and rural areas. We found that the oral microbiome in women displays distinct patterns consistent with geographic locality. The specific characterization of the microbiota of Indonesian women is likely linked to geographical specific dietary habits, cultural habits, and socio-economic status or the population studied.

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Comparative Study of Risk Profiles for Non-Communicable Diseases in Urban and Suburb Adolescents in Padang City (Indonesia)

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2021.7395 ◽

2021 ◽

Vol 9 (E) ◽

pp. 1233-1237

Author(s):

Meri Neherta ◽

Yonrizal Nurdin

Keyword(s):

Rural Areas ◽

Urban Areas ◽

Urban Adolescents ◽

Health Workers ◽

Total Sample ◽

Communicable Diseases ◽

Rural Adolescents ◽

Non Communicable Diseases ◽

Sweetened Beverages ◽

Urban And Rural Areas

Adolescence is when we still like to experiment and often develop bad habits which may lead to non-communicable diseases (NCDs) in the future. This study aimed to understand the lifestyle at risk of non-communicable diseases in adolescents that live in the urban and rural areas of Padang city. This research method is comparative descriptive with a descriptive-analytical approach, with a total sample of 788 people. The study was conducted from March 2019 to November 2019. Results: A total of 57.77% of respondents in urban areas and 69.54% of respondents in rural areas like to eat junk food. 45.35% urban respondents and 60.21% rural respondents like to consume high-sweetened beverages. 73.4% of urban respondents and 7.6% of rural respondents like to smoke. 80.6% of urban respondents and 87.8% of rural respondents lack physical activity. 59.9% of urban respondents and 49.05% of rural respondents do not like to exercise. 67% of urban respondents and 80.2% of rural respondents sleep late at night. Conclusion: The risk behavior of non-communicable diseases in rural adolescents is higher than in urban adolescents. It is recommended that parents, teachers, and health workers work together to carry out intervention activities for healthy lifestyles for all adolescents.

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Profile of risk factors for Non-Communicable Diseases (NCDs) in a highly urbanized district of India: Findings from Puducherry district-wide STEPS Survey, 2019–20

PLoS ONE ◽

10.1371/journal.pone.0245254 ◽

2021 ◽

Vol 16 (1) ◽

pp. e0245254

Author(s):

Parthibane Sivanantham ◽

Jayaprakash Sahoo ◽

Subitha Lakshminarayanan ◽

Zachariah Bobby ◽

Sitanshu Sekhar Kar

Keyword(s):

Risk Factors ◽

Alcohol Use ◽

Rural Areas ◽

Physical Inactivity ◽

Adult Population ◽

Communicable Diseases ◽

World Health ◽

Rapid Urbanization ◽

Non Communicable Diseases ◽

Physical Measurements

Introduction Rapid urbanization and industrialization drives the rising burden of Non-Communicable Diseases (NCDs) worldwide that are characterized by uptake of unhealthy lifestyle such as tobacco and alcohol use, physical inactivity and unhealthy diet. In India, the prevalence of various NCDs and its risk factors shows wide variations across geographic regions necessitating region-specific evidence for population-based prevention and control of NCDs. Objective To estimate the prevalence of behavioral and biological risk factors of NCDs among adult population (18–69 years) in the Puducherry district located in Southern part of India. Methodology We surveyed adults using the World Health Organization (WHO) prescribed STEPwise approach to NCD surveillance (STEPS) during February 2019 to February 2020. A total of 2560 individuals were selected from urban and rural areas (50 clusters in each) through multi-stage cluster random sampling method. STEPS instrument was used to assess behavioral and physical measurements. Fasting blood sample was collected to estimate biochemical risk factors (Diabetes, Hypercholesterolemia) of NCDs. Results Among men, alcohol use 40.4% (95% CI: 37.4–43.4) was almost twice higher compared to tobacco use 24.4% (95% CI: 21.7–26.9). Nearly half of the population was physically inactive 45.8% (95% CI: 43.8–47.8) and obese 46.1% (95% CI: 44–48.1). Hypertension and diabetes mellitus were present among one-third 33.6% (95% CI: 31.6–35.5) and one-fourth 26.7% (95% CI: 24.1–29.1) of the population which were significantly higher among men (37.1% vs 30.8% and 31.6% vs 23.2% respectively). Physical inactivity and overweight/obesity increased with increasing education levels. Tobacco and alcohol use was more common among men, whereas physical inactivity with obesity and hypercholesterolemia was higher among women. Conclusion We found high prevalence of various NCDs and its risk factors among the adult population of Puducherry district.

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The prevalence of risk factors associated with non-communicable diseases in Afghan refugees in southern Iran: a cross-sectional study

BMC Public Health ◽

10.1186/s12889-021-10482-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Erfan Taherifard ◽

Mohammad Javad Moradian ◽

Ehsan Taherifard ◽

Abdolrasool Hemmati ◽

Behnaz Rastegarfar ◽

...

Keyword(s):

Risk Factors ◽

Tobacco Smoking ◽

Physical Inactivity ◽

Vegetable Intake ◽

Vegetable Consumption ◽

Communicable Diseases ◽

Cross Sectional ◽

Non Communicable Diseases ◽

Afghan Refugees ◽

Southern Iran

Abstract Background Refugees are highly vulnerable to many health-related risks. Monitoring non-communicable diseases (NCDs) is of overriding importance in these populations. This study aimed to investigate the prevalence of risk factors for NCDs amongst Afghan refugees in a refugee camp located in southern Iran. Methods This cross-sectional sturdy was conducted in 2018. Risk factors such as inadequate nutrition, physical inactivity, tobacco smoking, obesity and overweight, hypertension (HTN), elevated fasting plasma glucose (FPG), and dyslipidaemia were assessed. Data were gathered with a modified WHO STEPS procedure. Prevalence and age-standardized prevalence and their 95% confidence intervals (CI) were estimated. Results The estimated prevalence were 94% for inadequate fruit/vegetable consumption, 18% for physical inactivity, 9% for tobacco smoking, 3% for FPG, 20% for HTN, 51% for central obesity, 24% for overweight, 19% for obesity, and 69% for dyslipidaemia. Conclusions Except for inadequate fruit and vegetable intake and dyslipidaemia, the prevalence of other NCD risk factors was low among Afghan refugees in Iran. Raising awareness about healthy diet and its importance and the provision of more affordable fruit and vegetables are two effective measures toward improving the health of refugees in Iran.

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Non-communicable disease surveillance in India using Geographical Information System-An experience from Punjab

Indian Journal of Community Health ◽

10.47203/ijch.2021.v33i03.017 ◽

2021 ◽

Vol 33 (3) ◽

pp. 506-511

Author(s):

Sheikh Mohd Saleem ◽

Chaitnya Aggarwal ◽

Om Prakash Bera ◽

Radhika Rana ◽

Gurmandeep Singh ◽

...

Keyword(s):

Information System ◽

Spatial Information ◽

Communicable Diseases ◽

Project Planning ◽

Geographical Information ◽

Non Communicable Diseases ◽

Visual Spatial ◽

Catchment Areas ◽

Health Related ◽

Space Data

"Geographic information system (GIS) collects various kinds of data based on the geographic relationship across space." Data in GIS is stored to visualize, analyze, and interpret geographic data to learn about an area, an ongoing project, site planning, business, health economics and health-related surveys and information. GIS has evolved from ancient disease maps to 3D digital maps and continues to grow even today. The visual-spatial mapping of the data has given us an insight into different diseases ranging from diarrhea, pneumonia to non-communicable diseases like diabetes mellitus, hypertension, cardiovascular diseases, or risk factors like obesity, being overweight, etc. All in a while, this information has highlighted health-related issues and knowledge about these in a contemporary manner worldwide. Researchers, scientists, and administrators use GIS for research project planning, execution, and disease management. Cases of diseases in a specific area or region, the number of hospitals, roads, waterways, and health catchment areas are examples of spatially referenced data that can be captured and easily presented using GIS. Currently, we are facing an epidemic of non-communicable diseases, and a powerful tool like GIS can be used efficiently in such a situation. GIS can provide a powerful and robust framework for effectively monitoring and identifying the leading cause behind such diseases. GIS, which provides a spatial viewpoint regarding the disease spectrum, pattern, and distribution, is of particular importance in this area and helps better understand disease transmission dynamics and spatial determinants. The use of GIS in public health will be a practical approach for surveillance, monitoring, planning, optimization, and service delivery of health resources to the people at large. The GIS platform can link environmental and spatial information with the disease itself, which makes it an asset in disease control progression all over the globe.

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Cluster analysis of risk factors for chronic non-communicable diseases in elderly Brazilians: population-based cross-sectional studies in a rural town

Research Society and Development ◽

10.33448/rsd-v10i17.24202 ◽

2021 ◽

Vol 10 (17) ◽

pp. e18101724202

Author(s):

Saulo Vasconcelos Rocha ◽

Sabrina Correia de Oliveira ◽

Hector Luiz Rodrigues Munaro ◽

Camila Fabiana Rossi Squarcini ◽

Bruna Maria Palotino Ferreira ◽

...

Keyword(s):

Risk Factors ◽

Physical Inactivity ◽

Economic Status ◽

The Elderly ◽

Tobacco Consumption ◽

Population Based ◽

Communicable Diseases ◽

Cross Sectional ◽

Non Communicable Diseases ◽

Sociodemographic Variables

Negative health behaviors incorporated into lifestyle are considered the main risk factors for chronic non-communicable diseases (NCDs) in adults and the elderly. However, the relationship between the aggregation of these factors and the sociodemographic conditions of the elderly needs to be better elucidated. The aim of this study was to analyze the simultaneity of the five risk factors for NCDs in the elderly with low economic status living in a rural city in Brazil, and their association with sociodemographic variables. Cross-sectional study was conducted with elderly people from Family Health Units of the city of Ibicui-Bahia, Brazil, where 310 elderly were enrolled. Rates of physical inactivity in leisure (PIL), alcohol consumption, sedentary behavior, overweight/obesity and tobacco consumption were collected through a questionnaire in an individual interview. The average age among participants was 71.62 (± 8.16) years. The group presenting the five behaviors had high scores in both sexes (men O/E = 242.5; women O/E = 161.7). Among men and women, the highest scores found through clustering of simultaneous NCD risk factors were for the consumption of alcohol with smoking, and physical inactivity with smoking. When analyzing the association between groups and sociodemographic characteristics, men were more physically inactive than women (OR = 0.96, CI = 0.92-0.98) and concomitantly had unhealthy habits (smoking). In conclusion, the elderly are exposed to health risk factors for concurrent CNCDs and the accumulation of these risk factors was not associated with sociodemographic variables, it is suggested that further studies be carried out with the prevalent variables as well as to analyze why the elderly population presents these levels.

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Trends of low physical activity among Iranian adolescents across urban and rural areas during 2006–2011

Scientific Reports ◽

10.1038/s41598-020-78048-0 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Parisa Amiri ◽

Parisa Naseri ◽

Golnaz Vahedi-Notash ◽

Sara Jalali-Farahani ◽

Yadollah Mehrabi ◽

...

Keyword(s):

Physical Activity ◽

Rural Areas ◽

Urban Areas ◽

Physical Inactivity ◽

Multinomial Logistic Regression ◽

Prevalence Ratio ◽

Sample Survey ◽

Activity Levels ◽

Urban Girls ◽

Urban And Rural Areas

AbstractIt is well documented that physical inactivity is related to weight gain and a whole host of chronic diseases. This study investigated trends of low physical activity among Iranian adolescents in urban and rural areas between 2006–2011. A total of 12,178 adolescents, aged between 15 and 19 years, participated in National Surveys of Risk Factors for Non-Communicable Diseases. Data on physical activity was obtained using the global physical activity questionnaire. A complex sample survey and multinomial logistic regression were used to model physical activity levels. The percentage of adolescents who had low levels of physical activity increased from 2006 to 2011 in both urban and rural areas. Low and moderate levels of physical activity were lower in rural girls as compared with urban girls, with a prevalence ratio of 0.59 (95% CI 0.47–0.74) and 0.59 (95% CI 0.47–0.74), respectively. The corresponding values for boys residing in rural areas compared with boys in urban areas were 0.56 (95% CI 0.43–0.75) and 0.60 (95% CI 0.48–0.74), respectively. The adolescents' lifestyles showed an increasing trend for physical inactivity in both genders; however, in rural areas, only girls had a rising affinity for a sedentary lifestyle throughout the 2006–2011 years.

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