Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Sedentary behaviour (SB) is a leading risk factor for development of non-communicable diseases (NCDs) and associated morbidity worldwide. Several studies have reported a high prevalence of sedentary behaviour among adolescents in developing countries with a male preponderance. The Nigerian male adolescent is similarly faced with lifestyle challenges as his counterparts in other countries.
Aim: This study determined the pattern, knowledge and factors associated with sedentary behaviour among male adolescents in Sagamu, Nigeria.
Method: A cross-sectional study was carried out among 330 in-school male adolescents in Sagamu, selected via multi-stage sampling technique. Data were collected using a semi-structured, self-administered questionnaire and analyzed using IBM SPSS version 20. Relevant descriptive and inferential statistics were calculated, with < .05. Participation was fully voluntary and strict confidentiality was ensured.
Result: The mean age of respondents was 15.9 ± 1.4 years; 86.9% of respondents were aged 15-19years. About 94.8% of sedentary respondents had poor knowledge. Over 90% of respondents were sedentary. Screen-based behaviour (79%) contributed more to respondents' pattern of SB while using a tablet or a smart phone (23.6%) singularly contributed the largest to sedentariness. SB was associated with motorized transport ( = .038), smoking ( ≤ .001) and central obesity status ( = .040) but not with socio-demographic characteristics and alcohol intake.
Conclusion: Knowledge of SB was poor among respondents. The prevalence of sedentary behaviour was high and associated with central obesity, smoking and motorized transport. School-based interventions including health education, should be initiated to reduce the risk of developing NCDs.
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Source |
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http://dx.doi.org/10.1177/0272684X211016728 | DOI Listing |
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