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      Co-occurrence of risk factors for non-communicable diseases among in-school adolescents in Tanzania: an example of a low-income setting of sub-Saharan Africa for adolescence health policy actions

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          Abstract

          Background

          Childhood lifestyle, health-risk behaviours contribute to two-thirds of non-communicable diseases (NCDs) premature mortality in adult populations. The co-occurrence of risk factors for NCDs is more harmful to health than that of individual risk factor effects when are added independently. The main objective of the present study was to explore the prevalence, sociodemographic distribution, and the co-occurrence of risk factors for NCDs among in-school adolescents.

          Methods

          The present study is based on the secondary analysis of the first nationwide representative sample of the 2014 Tanzania Global School-based Student Health Survey (GSHS). A total sample of 3,793 in-school adolescents was included in the present analysis. The dependent variables were as follows: an unhealthy diet, physical inactivity, tobacco use, excessive alcohol use, and suicide attempt. The analysis involved the Chi squire χ 2 test, multinomial and multivariate regression models: to determine the association between the variables of interest. In all analyses, the set level of statistical significance was a p-value of less than 0.05 at 95% confidence intervals.

          Results

          The most prevalent combination of risk factors for NCDs were as follows: unhealthy diet and physical inactivity 666 (17.6%); unhealthy diet and suicide attempt 151 (4.0); unhealthy diet and tobacco use 98 (2.8); and unhealthy diet, physical inactivity, and suicide attempt 81 (2.1). In the adjusted regression model; having three 0.60 [0.40–0.91], and a sum of four and five 0.46 [0.28–0.79] risk factors than having no risk factor showed a significant declined with increasing in adolescents age. Primary in-school adolescents than secondary in-school adolescents were significantly more likely to have two 1.81 [1.42–2.32], three 2.40 [1.63–3.54]; and a sum of four and five 2.90 [1.61–5.13] combinations of risk factors.

          Conclusion

          The co-occurrence of lifestyle health-risk factors for NCDs was prevalent among in-school adolescents: it was significantly higher among younger adolescents. A multi-strategy public health intervention program may be more effective than that of a single risk factor approach: therefore, suitable for resource-limited settings, such as Tanzania.

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          Most cited references25

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          The prevalence and clustering of four major lifestyle risk factors in an English adult population.

          The aim of this study was to examine the clustering of four major lifestyle risk factors (smoking, heavy drinking, lack of fruit and vegetables consumption, and lack of physical activity), and to examine the variation across different socio-demographic groups in the English adult population. The study population was derived from the 2003 Health Survey for England (n=11,492). Clustering was examined by comparing the observed and expected prevalence of the different possible combinations. A multinomial multilevel regression model was conducted to examine the socio-demographic variation in the clustering of the four risk factors. The study found that, when using British health recommendations, a majority of the English population have multiple lifestyle risk factors at the same time. Clustering was found at both ends of the lifestyle spectrum and was more pronounced for women than for men. Overall, multiple risk factors were more prevalent among men, lower social class households, singles, and people who are economically inactive, but less prevalent among home owners and older age groups. The clustering of multiple risk factors provides support for multiple-behavior interventions as opposed to single-behavior interventions.
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            Suicidal Behaviour and Related Risk Factors among School-Aged Youth in the Republic of Benin

            Introduction Research on factors associated with suicidal ideation and suicide attempts has been conducted largely in developed countries. Research on West African countries in particular is lacking. Methods Data were obtained from the Global School-based Health Survey conducted in Benin in 2009. This was a cross-sectional study of three grades, spanning Junior and Senior High, which sampled a total of 2,690 adolescents. Data on the occurrence of demographic, psycho-social and socio-environmental risk factors were tested using multinomial logistic regression for their association with suicidal ideation and suicide attempts. Results The survey indicated that 23.2% had thought about suicide and 28.3% had made a suicide attempt in the previous year. Anxiety, loneliness, being bullied, alcohol misuse, illicit drug use, and lack of parental support were independently related to the ideation outcomes, suicidal ideation without planning and suicidal ideation with planning. Multinomial regression analysis, using one suicide attempt and multiple suicide attempts as outcomes, revealed that female sex, anxiety, loneliness, being physically attacked, and illicit drug use were associated these outcomes. Discussion The prevalence of suicide attempts reported in the survey is relatively high. It is possible that there are cultural factors that could explain this finding. Our research indicates that many factors are related to the occurrence of suicidal ideation and suicide attempts among youth in Benin. Illicit drug use and violence in particular are associated with a high rate of suicide attempts in Benin. Measures to address these issues may reduce the risk of self-inflicted violence.
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              School bullying, cyberbullying, or both: correlates of teen suicidality in the 2011 CDC Youth Risk Behavior Survey.

              While school bullying has been shown to be associated with depression and suicidality among teens, the relationship between these outcomes and cyberbullying has not been studied in nationally representative samples. Data came from the 2011 CDC Youth Risk Behavior Survey (YRBS), a nationally representative sample of high-school students (N=15,425). We calculated weighted estimates representative of all students in grades 9-12 attending school in the US. Logistic regression was used to calculate adjusted odds ratios. Overall, girls are more likely to be report being bullied (31.3% vs. 22.9%), in particularly to be cyberbullied (22.0% vs. 10.8%), while boys are only more likely to report exclusive school bullying (12.2% vs. 9.2%). Reports of 2-week sadness and all suicidality items were highest among teens reporting both forms of bullying, followed by those reporting cyberbullying only, followed by those reporting school bullying only. For example, among those reporting not being bullied 4.6% reported having made a suicide attempt, compared to 9.5% of those reporting school bullying only (adjusted odd ratio (AOR) 2.3, 95% C.I. 1.8-2.9), 14.7% of those reporting cyberbullying only (AOR 3.5 (2.6-4.7)), and 21.1% of those reporting victimization of both types of bullying (AOR 5.6 (4.4-7)). Bullying victimization, in school, cyber, or both, is associated with higher risk of sadness and suicidality among teens. Interventions to prevent school bullying as well as cyberbullying are needed. When caring for teens reporting being bullied, either at school or in cyberbullying, it's important to screen for depression and suicidality.
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                Author and article information

                Contributors
                festocasmir@gmail.com
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                22 July 2019
                22 July 2019
                2019
                : 19
                : 972
                Affiliations
                [1 ]ISNI 0000 0001 1481 7466, GRID grid.25867.3e, Department of Internal Medicine, , Muhimbili University of Health and Allied Sciences, ; P. O Box 65000, Dar es Salaam, Tanzania
                [2 ]ISNI 0000 0001 1014 9130, GRID grid.265073.5, Department of Global Health Entrepreneurship, Division of Public Health, , Graduate School of Tokyo Medical and Dental University, ; Tokyo, Japan
                Author information
                http://orcid.org/0000-0001-5096-9379
                Article
                7320
                10.1186/s12889-019-7320-1
                6647087
                31331303
                393aa96e-d113-4120-bf9d-7753d2c7eb6c
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 October 2018
                : 15 July 2019
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Public health
                co-occurrence,risk factors,non-communicable diseases,in-school adolescents,tanzania,sub-saharan africa

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