Assessment of Physical Activity Indicators for Children and Youth in Ethiopia: Evidence from the Global Matrix 3.0 Study (2017–2018)

Abdeta, Chalchisa; Teklemariam, Zelalem; Deksisa, Alem; Abera, Endashew; Ocansey, Reginald; Okely, Anthony D.

doi:10.1186/s40798-019-0229-5

Cited by 3 publications

(5 citation statements)

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“…(35,36). There is no consensus about a single cutoff point to define PA to prevent overweight and obesity, but one of the main factors contributing to increased adiposity is lower energy expenditure caused by decreased PA (37,38). In this study, the odds of being overweight or obesity among adolescents with higher hours of sedentary behaviors were 6 times more likely than those who did not have a sedentary life.…”

Section: Discussionmentioning

confidence: 68%

“…This could be further limited by the hoot weather condition of the study area. One study has showed that only 28% has the recommended PA level and less than 50% use walk from home to school and this worst in the urban setting ( 41 ).…”

Section: Discussionmentioning

confidence: 99%

“…Important predictors of overnutrition found in previous studies and associations with a value of p below 0.2 in the bivariable analysis were included in the multivariate logistic regression model. Hence, we adjusted for potential confounding variables (factors) where model fitness was evaluated using Hosmer and Lemeshow’s test (value of p above 0.05) and the Omnibus test ( p -value below 0.05) ( 40 , 41 ). We also checked for an interaction or effect modification between the independent variables using a p -value ( 39 ).…”

Section: Methodsmentioning

confidence: 99%

“…Based on the GPAQ tool, each level of physical activity was transformed into MET in minutes per week, and then the sum of sub-activities' MET minutes per week was calculated. Then, we multiplied the number of days involved in a certain level of physical activity per week by the daily duration (in minutes) and the metabolic equivalents considering the physical activities in minutes done in a week (4.0 METS for moderate, 8.0 for vigorous and 3.0 for transport related walking or cycling) (27,38). Hence, we calculated the total MET minutes/week and classified them to determine the physical activity level.…”

Section: Data Processing and Analysismentioning

confidence: 99%

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Association between dietary consumption patterns and the development of adolescent overnutrition in eastern Ethiopia: new perspectives

Gedamu,

Dagne,

Oumer

2023

Front. Nutr.

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BackgroundOvernutrition among adolescents is becoming a major public health concern, with all the adverse consequences associated with unhealthy eating behaviors. Hence, clear evidence linking dietary consumption with the risk of overnutrition is crucial for targeted dietary recommendations using a robust statistical approach. This study assessed the link between dietary consumption patterns and the risks of overnutrition among adolescents in Ethiopia.MethodA community-based survey was conducted on a random sample of 510 adolescents selected using a stratified random sampling via proportional allocation. Dietary consumption was captured using a validated and contextualized 80-item food frequency questionnaire over the past month through a face-to-face interview. Weight and height were measured under a standard procedure. Body Mass Index for Age Z-score (BAZ) was calculated, and BAZ above +1 was considered overnutrition. The frequency measures were standardized into daily equivalents, and dietary patterns were derived using exploratory factor analysis after checking for assumptions. A bivariable and multivariable binary logistic regression model was fitted with an odds ratio and 95% confidence intervals.ResultsA total of 510 participants were enrolled. Four major dietary patterns (“cereals, energy, and discretionary calory,” “fat, oil, and milk groups,” “proteins and vegetables,” and “fruits”), explaining 66.6% of the total variation, were identified. The overall prevalence of overnutrition was 29.0% (27–31%), where 22.5 and 6.5% were overweight and obese, respectively. Physical inactivity (AOR = 6.27; 95% CI: 2.75–14.3), maternal literacy (AOR = 111.3; 95% CI: 50.0–247.8), habit of snacking (AOR = 1.80; 95% CI: 0.69–4.67), skipping meals (AOR = 2.05; 955 CI: 0.84–5.04), cereals and discretionary food dietary pattern (AOR = 2.28; 95 CI: 0.94–5.55), and protein–rich and vegetable dietary pattern (AOR = 2.30; 95% CI: 0.97–5.46) were important factors associated with odds of overnutrition.ConclusionOvernutrition is a public health concern affecting one-third of adolescents, and it is closely linked with dietary consumption patterns, eating behaviors, wealth status, literacy, and level of physical activity. Therefore, public health interventions targeting unhealthy eating and lifestyles are urgently needed to curb the increasing burden of overnutrition among adolescents and its future complications.

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Section: Discussionmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Data Processing and Analysismentioning

confidence: 99%

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Association between dietary consumption patterns and the development of adolescent overnutrition in eastern Ethiopia: new perspectives

Gedamu,

Dagne,

Oumer

2023

Front. Nutr.

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“…Physical inactivity and increasing screen-time among children and adolescents around the world have been well-documented in the previous three decades ( 1 ) and they are two of the leading causes of poor physical fitness among the members of those populations. Likewise, several recognized methodologies actively monitor the physical activity and physical fitness of children and adolescents worldwide ( 2 – 4 ), however, they are locally oriented, and when it comes to Montenegro, this vital issue has remained unexplored.…”

Section: Introductionmentioning

confidence: 99%

The 2018 National Report on Children’s and Adolescents’ Physical Activity and Physical Fitness for Montenegro

Mašanović

Popović

Gardašević

2020

ijph

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Background: We aimed to focus on a review of the literature on physical activity and physical fitness for chil- dren and adolescents in Montenegro, to identify and evaluate the current situation and provide a better basis for the creation of a future monitoring system. Methods: The Montenegrin Research Team (MRT) has set up a specific methodology that is reflected in the assessment of physical activity and physical fitness of Montenegrin children and adolescents through ten sepa- rate indicators. Grades were awarded based on data found in available scientific articles that were published up to 2018, as well as in the grey literature, such as government and nongovernment reports and online content from the same period. Results: All indicators averaged 3.7 on a six-point scale. It is interesting to note that two indicators were rated as excellent, three more indicators were rated with above-average, four indicators were rated as below-average and, lastly, one indicator was rated as “unfinished”. Conclusion: Children’s and adolescents’ physical activity and physical fitness for Montenegro might be good, especially if compared to other countries from the region.

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Results from Bangladesh’s 2018 Report Card on Physical Activity for Children and Youth

Khan¹,

Kadir²,

Choudhury³

et al. 2018

Journal of Physical Activity and Health

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Assessment of Physical Activity Indicators for Children and Youth in Ethiopia: Evidence from the Global Matrix 3.0 Study (2017–2018)

Cited by 3 publications

References 61 publications

Association between dietary consumption patterns and the development of adolescent overnutrition in eastern Ethiopia: new perspectives

Association between dietary consumption patterns and the development of adolescent overnutrition in eastern Ethiopia: new perspectives

The 2018 National Report on Children’s and Adolescents’ Physical Activity and Physical Fitness for Montenegro

Results from Bangladesh’s 2018 Report Card on Physical Activity for Children and Youth

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