Prevalence and Correlates of Behavioral Non-Communicable Diseases Risk Factors among Adolescents in the Seychelles: Results of a National School Survey in 2015

Prevalence and determinants of behavioral risk factors for noncommunicable diseases among students aged 13-19 years in Turkey

OBJECTIVE

The aim of this study was to investigate the prevalence and determinants of behavioral risk factors for noncommunicable diseases (NCDs) among students aged 13-19 years in Turkey.

METHODS

This cross-sectional study included a total of 1218 high-school students (mean age = 15.97 years; 57.6 % females) in Turkey. A facilitated survey in the form of a questionnaire was used to gather data. Questions from the Global School-Based Student Health Survey were adapted for the study, and the responses were analyzed using IBM SPSS Statistics 28. Binary logistic regression and Poisson regression were applied to identify the contributing factors.

RESULTS

The prevalence of inadequate fruit and vegetable consumption was 85.5 %, sedentary leisure behavior 80.9 %, physical inactivity 65.3 %, carbonated soft drink consumption 60.4 %, overweight or obesity 38.1 %, current tobacco use 23.1 %, and current alcohol use 14.5 %. The adjusted Poisson regression analysis showed that the odds for having behavioral risk factors were increased by being male, being in grade 11, and attending physical education classes, whereas the odds were reduced by having multiple psychological distress issues, regularly attending school, and having moderate or high parental support.

CONCLUSION

The prevalence of clustering of modifiable risk factors for NCDs was high among students aged 13-19 years in Turkey, and there is a need to mount effective interventions. Risk factors for these diseases are often preventable: Appropriate health interventions before, during, and after pregnancy as well as throughout childhood and adolescence can significantly reduce their prevalence.

Exploring Behavioral Risk Factors for Non-communicable Diseases Among Undergraduate Medical Students in Western Gujarat: A Cross-Sectional Study

Background The burden of morbidity and death caused by non-communicable diseases (NCDs) such as cancer, diabetes, and cardiovascular disease is a significant global health concern influenced by modifiable behavioral risk factors. In India, the burden of NCDs is particularly high, with medical college students being a vulnerable population. This study aims to bridge the knowledge gap by investigating the prevalence and patterns of behavioral risk factors for NCDs among medical college students. Methodology A cross-sectional study was conducted on medical students in Gujarat. Risk factors for NCDs were assessed using various tools, including the General Health Questionnaire-12 (GHQ-12) for stress, the International Physical Activity Questionnaire-Short Form (IPAQ-SF) for physical activity, the Pittsburgh Sleep Quality Index (PSQI) for sleep quality, the body mass index (BMI) for obesity, and dietary factors. The chi-square test was employed as a statistical tool to determine the association between socio-demographic variables and various risk factors. A p-value of <0.05 was considered statistically significant. Results Among the 400 students surveyed, the prevalence of single behavioral NCD risk factors was as follows: 248 (62%) reported stress (GHQ-12), 215 (54%) experienced poor sleep quality (PSQI), 251 (63%) had low levels of physical activity (IPAQ), 339 (85%) had inadequate fruit and vegetable intake, 97 (24%) consumed extra salt during meals, 163 (41%) were overweight or obese, and 189 (47%) had three or more risk factors for NCDs. In bivariate logistic regression analysis, factors such as age, male gender, urban residence, hostel stay, and lower socioeconomic status were found to be statistically significant (p < 0.05). Conclusion This study reveals an alarming failure of medical colleges to positively influence students' health behaviors, despite their medical knowledge. The high rates of inactivity, stress, poor diet, and obesity among students demonstrate the curriculum's inability to instill preventative lifestyle practices. This omission in training compromises students' own health and their ability to counsel patients on NCD prevention. Urgent reform is needed to integrate health promotion into the curriculum, providing a supportive campus culture focused on wellness. By overlooking students' behaviors, medical colleges gravely disserve these future providers. This evidence compels curriculum reform to develop exemplary physician role models for NCD prevention.

Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh

BACKGROUND

Adolescents frequently engage in risky behaviors that negatively influence their health and pose a serious public health concern. This study aimed to examine the clustering pattern of health risk behaviors among school-going adolescents in Bangladesh.

METHODS

A cross-sectional study was conducted from 15 April to 27 June 2022 among 412 school-going adolescents in Mymensingh district of Bangladesh through a convenience sampling technique. Data were collected via face-to-face interviews using a modified Global School-Based Student Health Survey (GSHS) 2021 questionnaire. Cluster membership was identified using the k-means clustering algorithm. The chi-square test was adopted to explore the association between sociodemographic variables and each cluster membership. The ordinal logistic regression model was employed to examine the predictors associated with cluster membership.

RESULTS

Most of the respondents were female (55.3%) and belonged to the 16-19 years (74.5%) age group. Three behavioral clusters were identified, including Cluster 1: Low-risk taker (50.2%), Cluster 2: Moderate risk taker (39.6%), and Cluster 3: High-risk taker (10.2%). Influential factors of high-risk behavior among adolescents were significantly associated with their age (p = 0.03), father's education who were illiterate (p = 0.02), monthly family income >30000 BDT (p = 0.04), parent's those were understanding their child's problems in most of the time (p = 0.001).

CONCLUSIONS

The study found that high-risk behaviors are significantly higher among late adolescents, those whose fathers are illiterate, whose monthly income is higher, those whose parents or guardians never realize their child's complications and worries, and those whose parents or guardians never recognize what they did in their leisure time. These findings will help to develop intervention programs, policies, strategies, and curricula in school by the experts following the necessity to adopt the adolescent toward healthy behavior and help to reduce the prevalence of health risk behavior.

Sex differences in high-risk health behaviors among school-going adolescents in Yazd, Iran; a cross-sectional study

Objective

Adolescents are exposed to a wide range of high-risk health behaviors. This study aimed to investigate the high-risk health behaviors of adolescents in an Iranian adolescent population and gender differences.

Method

This cross-sectional descriptive study recruited high school students in Yazd city in center of Iran. Schools were randomly selected. In each school, all selected classes were included. Sampling in each class was census. The study investigated self-reported high-risk health behaviors. Students completed the Global School-based Student Health Survey (GSHS), an anonymous, validated questionnaire.

Results

2420 students participated in this study (52.5% male). The age range was 12-19 years. Daily consumption of ≥1 serving of fruit and vegetables per day was reported by 77.4% and 49.5% of respondents, respectively. Adequate physical activity was reported by only 18.4% of adolescents, and significantly less frequently by girls than boys (p < 0.001). 11.8% were current smokers (M/F ratio: 2.6), and 20.5% (M/F ratio: 1.5) were ever used hookah. The prevalence of ever alcohol and substance abuse was 15.5% and 8.8%, respectively. The prevalence of tobacco and substance use was significantly higher in participants' boys than in girls (p < 0.001). Males were over twice more likely to report frequent fighting in the past 12 months than girls. Overall, girls reported more parental supervision than boys (82.1% vs. 73.4%) and parental monitoring (90.6% vs. 86.8%), while boys reported higher levels of awareness over leisure activities than girls (65.8% vs. 58.4%).

Conclusions

High-risk health behaviors are more common in boys than girls. Health policymakers should use these results in prioritizing and designing health interventions to promote youth health. Further studies are recommended to identify the factors influencing the prevalence of these behaviors.

Risk of noncommunicable diseases and associated factors in Algerian adolescents (10-19 years old)

OBJECTIVE

Noncommunicable diseases (NCDs) are a public health problem and their prevalence is increasing worldwide at an alarming rate. The objective of this study was to assess the predictive factors for NCDs in adolescents.

MATERIAL AND METHODS

The study included adolescents enrolled in public establishments in Constantine (east of Algeria). Demographic variables, health variables, smoking, anthropometry, diet, and physical activity were assessed by means of a questionnaire. All data were analyzed using the software R 3.2.4. The significance threshold was set at 95%.

RESULTS

The sample consisted of 1,222 adolescents (56.1% girls) aged 10-19 years. Overall, 8.6% had NCDs; 23.2% were overweight (obesity included). The frequency of consumption was insufficient for dairy products and fruits and vegetables (p=0.0000) and the opposite was found for fatty and sugary products (p=0.0000). A total of 82.8% had been breastfed. Physical activity recommendations were not followed. Risk factors for the development of NCDs were family history of these diseases (odds ratio [OR]=2.89), active smoking (OR=3.18), passive smoking (OR=2.03), fetal macrosomia (OR=1.40), time in front of screens ≥3 h/day (OR=1.28), and overweight (OR=1.15). The consumption of fatty and sweet products was positively correlated with weight status (r=0.258; p=0.0000). Protective factors were breastfeeding for ≥ 6 months (OR=0.69) and moderate physical activity of ≥60 min/day (OR=0.38).

CONCLUSION

Adolescents presented predictors factors for NCDs due to harmful behaviors to their health.

Prevalence and Factors Associated with Cardiovascular Lifestyle Risk Factors among Pregnant Women in Burkina Faso: Evidence from a Cross-Sectional Study

Data on lifestyle risk factors for cardiovascular diseases, such as smoking, alcohol consumption, inadequate physical activity, and insufficient consumption of fruits and vegetables, in pregnant women in Africa, are scarce. This study aimed to estimate the prevalence of cardiovascular lifestyle risk factors among pregnant women in Burkina Faso and identify their associated factors. Pregnant women who attended antenatal care services between December 2018 and March 2019 were included in this study. A modified Poisson regression model was used to estimate adjusted prevalence ratios (aPR) with a 95% confidence interval. A total of 1027 pregnant women participated in this study. The prevalence of alcohol consumption, tobacco use, inadequate physical activity, and insufficient consumption of fruits and vegetables were 10.2% [8.5-12.2], 3.0% [2.1-4.3], 79.4% [76.9-81.8], and 53.5% [50.5-56.6], respectively. The prevalence of more than one cardiovascular lifestyle risk factor in pregnant women was 50.9% [48.0-54.0]. The predictors significantly associated with more than one cardiovascular lifestyle risk factor were women over 30 years old aPR 1.26; 95% CI [1.03-1.53]), women living in fourth wealth index households (aPR 1.23; 95% CI [1.06-1.42]), in semi-urban areas (aPR 5.46; 95% CI [4.34-6.88]), and women with no occupation (aPR 1.31; 95% CI [1.18-1.44]). The prevalence of more than one cardiovascular lifestyle risk factor was high during pregnancy in Burkina Faso. Women of childbearing age should be advised on how healthy behaviors can lead to improved pregnancy outcomes.

Prevalence and correlates of multiple behavioural risk factors of non-communicable diseases among university students from 24 countries

BACKGROUND

Globally non-communicable diseases (NCDs) are on the increase. The goal of the study was to estimate the prevalence and correlates of multiple behavioural risk factors of NCDs among university students from 24 countries.

METHODS

In a cross-sectional study, the sample included 18 017 university students from countries in Africa, the Americas and Asia.

RESULTS

indicate that prevalence of single behavioural NCD risk indicators were 38.2% for physical inactivity, 80.5% for inadequate fruit and vegetables intake, 23.1% for having overweight/obesity, 10.5% for heavy alcohol use and 11.8% for current tobacco use. Students had on average 1.6 (SD = 0.9), and 15.9% had three or more behavioural NCD risk factors. In adjusted linear regression, male sex was positively and stronger beliefs in health benefits were negatively associated with multiple behavioural NCD risk factors.

CONCLUSIONS

A high prevalence and co-occurrence of behavioural risk factors of NCDs was discovered. Several behavioural NCD risk factors, such as male sex and low health behaviour benefits beliefs, were found that could be utilized in targeted interventions.

Co-occurrence of Behavioral Risk Factors of Non-communicable Diseases and Social Determinants among Adults in Urban Centers of Southwestern Ethiopia in 2020: A Community-Based Cross-Sectional Study

Background

Non-communicable diseases are priority global health problems. Smoking, harmful alcohol consumption, physical inactivity, and an unhealthy diet are four behavioral risk factors of these diseases. Studies in Ethiopia have focused on establishing associations between these factors and incommunicable diseases.

Objective

To assess the prevalence, co-occurrence, and social determinants of behavioral risk factors of non-communicable diseases among adults in urban centers of southwestern Ethiopia.

Methods

This study employed a cross-sectional design. Multistage sampling and the Kish method were used. The WHO's STEPS instrument was used for data collection. Proportions and other descriptive measures are used to describe the data. Bivariate and multivariate logistic regression was run to assess associations. Associations between dependent and independent variables were determined using AORs, 95% CIs, and significance level of P=0.05.

Results

A total of 1,191 adults participated in the study for a 93.3% response rate. In sum, 4.8% of participants were smokers and 15.6% indulge in harmful drinking. Prevalence of physical inactivity was 60.45%, and 94.8% consumed insufficient fruit and vegetables. Regarding co-occurrence of these factors, 65.5% of participants had two or more behavioral risk factors. Female sex (AOR 3.1, 95% CI 1.8-5.5), no formal employment (AOR 1.9, 95% CI 1.02-3.7), greater wealth (AOR 2.44, 95% CI 1.1-5.1), not having a friend who does physical exercise (AOR 2.7, 95% CI 1.5-4.7), having friends who do not drink (AOR 0.20, 95% CI 0.09-0.44), and participating in community activities (AOR 2.95, 95% CI 1.4-6.0) were associated with co-occurrence of behavioral risk factors of non-communicable diseases.

Conclusion

The prevalence and co-occurrence of behavioral risk factors of non-communicable diseases in the study area are alarming. Several factors were associated with co-occurrence of these factors. Community-based interventions have to be implemented considering family settings. Special focus has to be given to physical inactivity and fruit and vegetable consumption.

Multiple behavioural risk factors of non-communicable diseases among adolescents in four Caribbean countries: prevalence and correlates

OBJECTIVES

The study assessed the prevalence and associated factors of behavioural risk factors of non-communicable diseases (NCDs) among adolescents in four Caribbean countries.

CONTENT

In all 9,143 adolescents (15 years = median age) participated in the cross-sectional "2016 Dominican Republic, 2016 Suriname, 2017 Jamaica, and 2017 Trinidad and Tobago Global School-Based Student Health Survey (GSHS)". Eight behavioural risk factors of NCDs were assessed by a self-administered questionnaire.

SUMMARY

Prevalence of each behavioural NCD risk factor was physical inactivity (84.2%), inadequate fruit and vegetable intake (82.2%), leisure-time sedentary behaviour (49.6%), daily ≥2 soft drinks intake (46.8%), ever drunk (28.6%), twice or more days a week fast food consumption (27.6%), having overweight/obesity (27.4%), and current tobacco use (13.8%). Students had on average 3.6 (SD=1.4), and 79.0% had 3-8 behavioural NCD risk factors. In multivariable linear regression, psychological distress and older age increased the odds, and attending school and parental support decreased the odds of multiple behavioural NCD risk factors.

OUTLOOK

A high prevalence and co-occurrence of behavioural risk factors of NCDs was discovered and several factors independently contributing to multiple behavioural NCD risk factors were identified.

Associations of lifestyle risk factors with overweight or obesity among adolescents: a multicountry analysis

BACKGROUND

About 35% of the global burden of disease has roots in adolescence. Health in adolescence is an important determinant of health in adulthood.

OBJECTIVES

This study aimed to generate risk scores for lifestyle behaviors among adolescents and to estimate the country-specific prevalence of these risk scores. The study also examined the relations of lifestyle risk scores with overweight or obesity among adolescents.

METHODS

We used the most recent data available from 20 nationally representative Global School-based Student Health Surveys. Our analytical sample size was 51,597. The outcome of interest was overweight or obesity. We developed 4 lifestyle risk scores (dietary habits, physical activity, sedentary behavior, and tobacco use), which were used as the exposure variables in this study. Multilevel logistic regression models were used to estimate adjusted ORs with 95% CIs.

RESULTS

In total, 18.2% of the participants were overweight or obese. Across countries, the percentage of adolescents with unhealthy dietary habits ranged from 76.7% (the Cook Islands) to 94.2% (Timor-Leste), physical inactivity ranged from 47.5% (Bangladesh) to 90.1% (the Philippines), and sedentary behavior ranged from 34.5% (Nepal) to 88.2% (Kuwait). Girls engaged in less physical activity than did boys. Increased odds of overweight or obesity were found among participants with high risk scores for physical inactivity (OR: 1.19; 95% CI: 1.11, 1.27) and for unhealthy sedentary behavior (OR: 1.25; 95% CI: 1.16, 1.35) compared with participants with low risk scores. Girls with high tobacco risk scores had higher odds (OR: 1.30; 95% CI: 1.02, 1.65) of overweight or obesity than did girls with low risk scores for tobacco use, whereas there were no significant differences in risk in boys.

CONCLUSIONS

Unhealthy lifestyle behaviors were quite prevalent among adolescents, and higher lifestyle risk scores increased the risk of overweight or obesity.

Clustering of health risk behaviors among adolescents in Kilifi, Kenya, a rural Sub-Saharan African setting

BACKGROUND

Adolescents tend to experience heightened vulnerability to risky and reckless behavior. Adolescents living in rural settings may often experience poverty and a host of risk factors which can increase their vulnerability to various forms of health risk behavior (HRB). Understanding HRB clustering and its underlying factors among adolescents is important for intervention planning and health promotion. This study examines the co-occurrence of injury and violence, substance use, hygiene, physical activity, and diet-related risk behaviors among adolescents in a rural setting on the Kenyan coast. Specifically, the study objectives were to identify clusters of HRB; based on five categories of health risk behavior, and to identify the factors associated with HRB clustering.

METHODS

A cross-sectional survey was conducted of a random sample of 1060 adolescents aged 13-19 years living within the area covered by the Kilifi Health and Demographic Surveillance System. Participants completed a questionnaire on health behaviors which was administered via an Audio Computer-Assisted Self-Interview. Latent class analysis on 13 behavioral factors (injury and violence, hygiene, alcohol tobacco and drug use, physical activity, and dietary related behavior) was used to identify clustering and stepwise ordinal logistic regression with nonparametric bootstrapping identified the factors associated with clustering. The variables of age, sex, education level, school attendance, mental health, form of residence and level of parental monitoring were included in the initial stepwise regression model.

RESULTS

We identified 3 behavioral clusters (Cluster 1: Low-risk takers (22.9%); Cluster 2: Moderate risk-takers (67.8%); Cluster 3: High risk-takers (9.3%)). Relative to the cluster 1, membership of higher risk clusters (i.e. moderate or high risk-takers) was strongly associated with older age (p<0.001), being male (p<0.001), depressive symptoms (p = 0.005), school non-attendance (p = 0.001) and a low level of parental monitoring (p<0.001).

CONCLUSION

There is clustering of health risk behaviors that underlies communicable and non-communicable diseases among adolescents in rural coastal Kenya. This suggests the urgent need for targeted multi-component health behavior interventions that simultaneously address all aspects of adolescent health and well-being, including the mental health needs of adolescents.

Behavioral Risk Factors Of Non-Communicable Diseases Among A Nationally Representative Sample Of School-Going Adolescents In Indonesia

Background

The aim of this study was to investigate the prevalence and correlates of behavioral non-communicable diseases (NCD) risk factors among adolescents in Indonesia.

Methods

Cross-sectional national data were analyzed from 11,124 in-school adolescents (mean age 14.0 years) of the Indonesia Global School-Based Student Health Survey (GSHS) in 2015. Seven behavioral NCD risk factors (substance use, dietary behavior, overweight or obesity, low physical activity, and sedentary behavior) were assessed by questionnaire in a classroom setting.

Results

The prevalence of low physical activity was 87.8%, insufficient fruit and vegetable intake 76.8%, having soft drinks daily 27.9%, leisure-time sedentary behavior 27.3%, overweight or obesity 15.8%, current tobacco use 12.8%, and alcohol use 4.4%. From the seven behavioral NCD risk factors, the mean was 2.5 (SD=1.0), and almost half (46.5%) had at least three risk factors. In adjusted linear regression analysis, being a boy, increasing age and psychological distress increased the odds and hunger or food insecurity and parental support decreased the odds for having behavioral risk factors.

Conclusion

A high co-occurrence of behavioral risk factors was identified. Several risk factors (older age, boys, distress, and poor parental support) were identified that can be targeted in intervention programs.