scholarly journals A study to assess the prevalence of behavioral risk factors for lifestyle diseases among late adolescents in Chennai, Tamil Nadu

2017 ◽  
Vol 4 (4) ◽  
pp. 1260
Author(s):  
Evangeline Mary A. ◽  
Seenivasan P. ◽  
Shibiyeswanth R. I. ◽  
Prakash V. ◽  
Solaimuthurajagopal S. ◽  
...  
Keyword(s):  
Risk Factors ◽  
Tamil Nadu ◽  
Transitional Period ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Unhealthy Lifestyle ◽  
Lifestyle Habits ◽  
Cross Sectional ◽  
Professional Students ◽  
Lifestyle Diseases

Background: Lifestyle diseases are now the major causes of premature morbidity, mortality, and economic loss in developed and developing countries, including the younger age groups.The four major preventable behavioral risk factors are tobacco use, unhealthy diet, physical inactivity and harmful use of alcohol. Life of adolescents is a transitional period, offering them good opportunities for establishing health-promoting lifestyles. This study is done to assess the prevalence of behavioral risk factors for lifestyle diseases of college going adolescents of Chennai. Methods: This cross-sectional study was conducted among 483 randomly selected undergraduate students from randomly selected colleges in Chennai between March and September 2016 by two stage stratified sampling method using a semi-structured questionnaire. Data was fed into excel sheet and Descriptive and inferential statistical analysis was done using SPSS v.21 package. Results: The participants were between 17 and 20 years. They belonged to professional and non professional colleges. 78% students had unhealthy lifestyle habits. All the participants had at least one risk factor in them. The awareness on the risk factors was significantly less among non professional students, but they had significantly better behavioural habits than the professional students. Boys had significantly better habits than girls and students who were overweight significantly had unhealthy lifestyle habits. Conclusions: The study reflects the poor lifestyle habits of all college-aged individuals, which can be effectively improved by health education and behaviour change communication. 

Behavioral Risk Factors and Latino Body Mass Index: A Cross-Sectional Study in Missouri

2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Identification of Risk Factors Associated with Obesity and Overweight—A Machine Learning Overview

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2734 ◽  
Author(s):  
Ayan Chatterjee ◽  
Martin W. Gerdes ◽  
Santiago G. Martinez
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Diabetes Type ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Type Ii ◽  
Diabetes Type Ii ◽  
Obesity And Overweight ◽  
Potential Risk Factors ◽  
Lifestyle Diseases

Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors such as unhealthy habits, improper diet, and physical inactivity lead to physiological risks, and “obesity/overweight” is one of the consequences. “Obesity and overweight” are one of the major lifestyle diseases that leads to other health conditions, such as cardiovascular diseases (CVDs), chronic obstructive pulmonary disease (COPD), cancer, diabetes type II, hypertension, and depression. It is not restricted within the age and socio-economic background of human beings. The “World Health Organization” (WHO) has anticipated that 30% of global death will be caused by lifestyle diseases by 2030 and it can be prevented with the appropriate identification of associated risk factors and behavioral intervention plans. Health behavior change should be given priority to avoid life-threatening damages. The primary purpose of this study is not to present a risk prediction model but to provide a review of various machine learning (ML) methods and their execution using available sample health data in a public repository related to lifestyle diseases, such as obesity, CVDs, and diabetes type II. In this study, we targeted people, both male and female, in the age group of >20 and <60, excluding pregnancy and genetic factors. This paper qualifies as a tutorial article on how to use different ML methods to identify potential risk factors of obesity/overweight. Although institutions such as “Center for Disease Control and Prevention (CDC)” and “National Institute for Clinical Excellence (NICE)” guidelines work to understand the cause and consequences of overweight/obesity, we aimed to utilize the potential of data science to assess the correlated risk factors of obesity/overweight after analyzing the existing datasets available in “Kaggle” and “University of California, Irvine (UCI) database”, and to check how the potential risk factors are changing with the change in body-energy imbalance with data-visualization techniques and regression analysis. Analyzing existing obesity/overweight related data using machine learning algorithms did not produce any brand-new risk factors, but it helped us to understand: (a) how are identified risk factors related to weight change and how do we visualize it? (b) what will be the nature of the data (potential monitorable risk factors) to be collected over time to develop our intended eCoach system for the promotion of a healthy lifestyle targeting “obesity and overweight” as a study case in the future? (c) why have we used the existing “Kaggle” and “UCI” datasets for our preliminary study? (d) which classification and regression models are performing better with a corresponding limited volume of the dataset following performance metrics?

scholarly journals The association between informal caregiving and behavioral risk factors: a cross-sectional study

2020 ◽  
Vol 65 (6) ◽  
pp. 911-921 ◽  
Author(s):  
Sophie Gottschalk ◽  
Hans-Helmut König ◽  
Christian Brettschneider
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smoking Behavior ◽  
Care Recipient ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Dementia Caregivers ◽  
Related Factors ◽  
Cross Sectional ◽  
Insufficient Physical Activity

Abstract Objectives This study aimed to compare informal caregivers/dementia caregivers to non-caregivers regarding alcohol consumption, smoking behavior, obesity, and insufficient physical activity and to identify caregiving-related factors (caregiving intensity, length of caregiving, relationship to the care recipient, and type of caregiving task) which are associated with behavioral risk factors in caregivers/dementia caregivers. Methods Using cross-sectional data from the Behavioral Risk Factor Surveillance System, we performed the statistical analyses applying logistic regression models and accounted for confounding using the entropy balancing approach. Results For caregivers (n = 12,044), the odds of overweight/obesity and smoking were higher (OR = 1.14/1.34, p < 0.05) and the odds of binge drinking and insufficient physical activity were lower (OR = 0.86/0.83, p < 0.05) than for non-caregivers (n = 45,925). For dementia caregivers, results point in the same direction. Caregiving-related variables tend to influence the likelihood of behavioral risk factors, but depending on the kind of factor considered, in different directions. Conclusions Being a caregiver is associated with risky and health-promoting behavior. However, the effects are relatively low. Future studies should study potential pathways between caregiving characteristics, psychological impacts of caregiving, health behavior, and mental or physical health.

scholarly journals Behavioral Risk Factors of Noncommunicable Diseases Among Medical and Nonmedical Undergraduate Students of Dhaka City, Bangladesh

2018 ◽  
Vol 5 (4) ◽  
pp. 119-122
Author(s):  
Rajib Mondal ◽  
Rajib Chandra Sarker ◽  
Palash Chandra Banik
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Alcohol Consumption ◽  
Tobacco Use ◽  
Undergraduate Students ◽  
Vegetable Intake ◽  
Noncommunicable Diseases ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Cross Sectional

Background and aims: Behavioral risk factors of noncommunicable diseases (NCDs) are established during early age and continued into adulthood. In Bangladesh, the scenario of NCD risk factors among students was inadequately studied. The aim of this study was to assess and compare the prevalence of behavioral risk factors of NCDs between undergraduate medical and nonmedical students. Methods: This cross-sectional study was conducted among 280 undergraduate students (equal number of students from medical and nonmedical backgrounds). Respondents were selected purposively from 5 purposively-selected institutions. Modified WHO STEPS instrument was used for data collection. Respondents were asked about their behavioral risk factors (tobacco use, insufficient fruit and vegetable intake, inadequate physical activity, and alcohol consumption) by face-to-face interviews. Results: Men students were more in both groups. The mean age of the medical and nonmedical students was 22.1±2.0 and 21.8±1.9 years, respectively. Tobacco use was more among nonmedical students than that among the counterpart (22.1% vs. 15.7%). Medical students were more used to take insufficient fruits and vegetables compared to nonmedical students (97.9% vs. 93.6%). Equal proportions (71.4%) of students in both groups were used to perform inadequate physical activity. Alcohol consumption was observed more among nonmedical students (12.9% vs. 8.6%). Conclusion: Behavioral risk factors of NCDs were remarkable among students of both groups, mainly among nonmedical students.

scholarly journals Rapid screening for behavioral risk factors in adolescents in North India

2019 ◽  
Vol 6 (8) ◽  
pp. 3343
Author(s):  
Poonam Banga ◽  
Tarundeep Singh ◽  
Rajesh Kumar
Keyword(s):  
Risk Factors ◽  
Drug Abuse ◽  
Alcohol Consumption ◽  
Fruits And Vegetables ◽  
North India ◽  
Rapid Screening ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Cross Sectional Survey ◽  
Cross Sectional

Background: Habits get established during the transitional age of adolescence making it important to conduct surveillance to detect high risk behaviours at an early age. Feasibility of such a surveillance system was tested for monitoring the risk factors in schools.Methods: A cross sectional survey was conducted in randomly selected schools of Chandigarh in India, by enrolling 226 students of class V to XII. A pretested structured questionnaire on dietary pattern, physical activity, tobacco and alcohol consumption, drug abuse, mental health, sexual behaviour etc., was administered after ensuring privacy and confidentiality.Results: A total of 226 students with a mean age of 14years (range 10 to 19years) participated in the study. The prevalence of tobacco use was 8%, alcohol consumption was 3%, and drug abuse was 4%. About 47% were involved in a physical fight. Around 7% students were overweight. About 50% of the students skipped breakfast during previous week, and 6% had no intake of fruits and vegetables in last one month. Only 53% reported consistent use of seat belts.Conclusions: Several behavioral risk factors were prevalent among school children in Chandigarh. Behaviour surveillance to monitor trends should be conducted at regular intervals.

Bacteriuria in pregnant adolescents and behavioral risk factors: a cross-sectional study at a Brazilian teaching hospital

2021 ◽  
Author(s):  
Henrique Diório de Souza ◽  
Rossana Pulcinelli Vieira Francisco ◽  
Eliane Azeka Hase ◽  
Giselle Rodrigues Mota Diório ◽  
Adriana Lippi Waissman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Teaching Hospital ◽  
Cross Sectional Study ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sectional Study ◽  
Pregnant Adolescents ◽  
Cross Sectional

Behavioural risk factors of non-communicable diseases among adolescents

2013 ◽  
Vol 34 (3) ◽  
pp. 39-43
Author(s):  
K Adhikari ◽  
MR Adak
Keyword(s):  
Risk Factors ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Communicable Diseases ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Institute Of Medicine ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
The Third World

Introduction: Cardiovascular and other chronic diseases are becoming the major causes of morbidity and mortality in most of the third world countries, including Nepal. Unhealthy diet, physical inactivity and consumption of tobacco, alcohol, drugs etc. are major global determinants of non-communicable diseases and contribute to the excess death and disability among the poor in terms of mortality. This study was done to estimate the prevalence of behavioral risk factors of NCDs among adolescent. Methods: A cross sectional study based on WHO stepwise approach for surveillance of Non- Communicable Diseases (NCDs) risk factors was conducted in Chitwan District to assess the risk factors of NCDs. Information was collected on substance abuse, dietary habits and physical activity through personal interview. Results: A bout 50% male and 30% female respondents were currently abusing one or other forms of substance. Male (39%) and female (26%) were using tobacco products. It was found that only 14% of respondents were doing satisfactory level of physical activities. Conclusions: Substantially high levels of the various behavioral risk factors among adolescents in Chitwan District suggest an urgent need for awareness raising programmes. DOI: http://dx.doi.org/10.3126/joim.v34i3.8916 Journal of Institute of Medicine, December, 2012; 34:39-43  

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