Back pain in adolescents: prevalence and associated factors Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.5935/2595-0118.20190059
BACKGROUND AND OBJECTIVES: Back pain is one of the most common pain in humans. It impacts the health and quality of life and can be disabling. Diseases detected in adolescence and poorly managed may get worse in adulthood. The objective of this study is to estimate the prevalence, the associated factors and the characteristics of back pain in adolescents living in the city of São Paulo. METHODS: A cross-sectional population-based study - Health Survey in São Paulo (2015) with 539 adolescents of both genders between 15 and 19 years old was used. The information was collected through home interviews and the participants were selected by probabilistic sampling. Frequencies, Chi-square test, and logistic regression analysis were used in this analysis. The level of significance was 5%. RESULTS: The estimated prevalence of back pain in adolescents in the city of São Paulo was 22.4%. Back pain in adolescents had the following associated factors: dizziness (OR 3.1), common mental disorder (OR 2.4), insomnia (OR 2.6) and perform household chores (OR 1.8). To relieve the pain, 46.6% of adolescents do nothing, 17.3% use self-medication and 8.9% use prescribed medication. CONCLUSION: Acknowledging back pain as a public health problem requires strategies that allow us to learn the origins, associated factors and coping strategies that may influence new ways of prioritizing and organizing healthcare.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5935/2595-0118.20190059
- http://www.scielo.br/pdf/brjp/v2n4/2595-0118-brjp-02-04-0321.pdf
- OA Status
- diamond
- Cited By
- 7
- References
- 15
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2988813991Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5935/2595-0118.20190059Digital Object Identifier
- Title
-
Back pain in adolescents: prevalence and associated factorsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
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Mirna Namie Okamura, Wilma Madeira, Moisés Goldbaum, Chester Luiz Galvão CésarList of authors in order
- Landing page
-
https://doi.org/10.5935/2595-0118.20190059Publisher landing page
- PDF URL
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https://www.scielo.br/pdf/brjp/v2n4/2595-0118-brjp-02-04-0321.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://www.scielo.br/pdf/brjp/v2n4/2595-0118-brjp-02-04-0321.pdfDirect OA link when available
- Concepts
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Medicine, Logistic regression, Back pain, Low back pain, Population, Chi-square test, Health care, Coping (psychology), Cross-sectional study, Psychiatry, Mental health, Physical therapy, Environmental health, Alternative medicine, Statistics, Economic growth, Mathematics, Pathology, Economics, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 2, 2021: 1, 2020: 2Per-year citation counts (last 5 years)
- References (count)
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15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6677084407, https://openalex.org/W1990259676, https://openalex.org/W2051453492, https://openalex.org/W2763389609, https://openalex.org/W2156249322, https://openalex.org/W2025950758, https://openalex.org/W1850183167, https://openalex.org/W2409397822, https://openalex.org/W2560260553, https://openalex.org/W2158093589, https://openalex.org/W2755612118, https://openalex.org/W1985465516, https://openalex.org/W2097560687, https://openalex.org/W2114133364, https://openalex.org/W2891731114 |
| referenced_works_count | 15 |
| abstract_inverted_index.- | 71 |
| abstract_inverted_index.A | 67 |
| abstract_inverted_index.a | 190 |
| abstract_inverted_index.15 | 85 |
| abstract_inverted_index.19 | 87 |
| abstract_inverted_index.It | 14 |
| abstract_inverted_index.To | 168 |
| abstract_inverted_index.as | 189 |
| abstract_inverted_index.be | 24 |
| abstract_inverted_index.by | 104 |
| abstract_inverted_index.do | 175 |
| abstract_inverted_index.in | 12, 28, 36, 57, 60, 74, 116, 132, 134, 144 |
| abstract_inverted_index.is | 5, 43 |
| abstract_inverted_index.of | 7, 20, 40, 54, 63, 81, 121, 129, 137, 173, 213 |
| abstract_inverted_index.to | 44, 199 |
| abstract_inverted_index.us | 198 |
| abstract_inverted_index.(OR | 152, 157, 160, 166 |
| abstract_inverted_index.5%. | 124 |
| abstract_inverted_index.539 | 79 |
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| abstract_inverted_index.2.6) | 161 |
| abstract_inverted_index.8.9% | 181 |
| abstract_inverted_index.Back | 3, 142 |
| abstract_inverted_index.São | 64, 75, 138 |
| abstract_inverted_index.back | 55, 130, 187 |
| abstract_inverted_index.both | 82 |
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| abstract_inverted_index.life | 21 |
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| abstract_inverted_index.pain | 4, 11, 56, 131, 143, 188 |
| abstract_inverted_index.that | 196, 208 |
| abstract_inverted_index.this | 41, 117 |
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| abstract_inverted_index.were | 102, 114 |
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| abstract_inverted_index.1.8). | 167 |
| abstract_inverted_index.17.3% | 177 |
| abstract_inverted_index.2.4), | 158 |
| abstract_inverted_index.3.1), | 153 |
| abstract_inverted_index.46.6% | 172 |
| abstract_inverted_index.Paulo | 76, 139 |
| abstract_inverted_index.allow | 197 |
| abstract_inverted_index.learn | 200 |
| abstract_inverted_index.level | 120 |
| abstract_inverted_index.pain, | 171 |
| abstract_inverted_index.study | 42, 70 |
| abstract_inverted_index.test, | 109 |
| abstract_inverted_index.used. | 91 |
| abstract_inverted_index.worse | 35 |
| abstract_inverted_index.years | 88 |
| abstract_inverted_index.(2015) | 77 |
| abstract_inverted_index.22.4%. | 141 |
| abstract_inverted_index.Health | 72 |
| abstract_inverted_index.Paulo. | 65 |
| abstract_inverted_index.Survey | 73 |
| abstract_inverted_index.chores | 165 |
| abstract_inverted_index.common | 10, 154 |
| abstract_inverted_index.coping | 206 |
| abstract_inverted_index.health | 17, 192 |
| abstract_inverted_index.living | 59 |
| abstract_inverted_index.mental | 155 |
| abstract_inverted_index.poorly | 31 |
| abstract_inverted_index.public | 191 |
| abstract_inverted_index.between | 84 |
| abstract_inverted_index.factors | 50, 204 |
| abstract_inverted_index.genders | 83 |
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| abstract_inverted_index.impacts | 15 |
| abstract_inverted_index.managed | 32 |
| abstract_inverted_index.perform | 163 |
| abstract_inverted_index.problem | 193 |
| abstract_inverted_index.quality | 19 |
| abstract_inverted_index.relieve | 169 |
| abstract_inverted_index.through | 96 |
| abstract_inverted_index.Diseases | 26 |
| abstract_inverted_index.METHODS: | 66 |
| abstract_inverted_index.RESULTS: | 125 |
| abstract_inverted_index.analysis | 113 |
| abstract_inverted_index.detected | 27 |
| abstract_inverted_index.disorder | 156 |
| abstract_inverted_index.estimate | 45 |
| abstract_inverted_index.factors: | 150 |
| abstract_inverted_index.insomnia | 159 |
| abstract_inverted_index.logistic | 111 |
| abstract_inverted_index.nothing, | 176 |
| abstract_inverted_index.origins, | 202 |
| abstract_inverted_index.requires | 194 |
| abstract_inverted_index.selected | 103 |
| abstract_inverted_index.analysis. | 118 |
| abstract_inverted_index.collected | 95 |
| abstract_inverted_index.dizziness | 151 |
| abstract_inverted_index.estimated | 127 |
| abstract_inverted_index.following | 148 |
| abstract_inverted_index.household | 164 |
| abstract_inverted_index.influence | 210 |
| abstract_inverted_index.objective | 39 |
| abstract_inverted_index.sampling. | 106 |
| abstract_inverted_index.BACKGROUND | 0 |
| abstract_inverted_index.Chi-square | 108 |
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| abstract_inverted_index.interviews | 98 |
| abstract_inverted_index.organizing | 216 |
| abstract_inverted_index.prescribed | 183 |
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| abstract_inverted_index.regression | 112 |
| abstract_inverted_index.strategies | 195, 207 |
| abstract_inverted_index.CONCLUSION: | 185 |
| abstract_inverted_index.OBJECTIVES: | 2 |
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| abstract_inverted_index.adolescents | 58, 80, 133, 145, 174 |
| abstract_inverted_index.healthcare. | 217 |
| abstract_inverted_index.information | 93 |
| abstract_inverted_index.medication. | 184 |
| abstract_inverted_index.prevalence, | 47 |
| abstract_inverted_index.Frequencies, | 107 |
| abstract_inverted_index.participants | 101 |
| abstract_inverted_index.prioritizing | 214 |
| abstract_inverted_index.significance | 122 |
| abstract_inverted_index.Acknowledging | 186 |
| abstract_inverted_index.probabilistic | 105 |
| abstract_inverted_index.characteristics | 53 |
| abstract_inverted_index.cross-sectional | 68 |
| abstract_inverted_index.self-medication | 179 |
| abstract_inverted_index.population-based | 69 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.86521518 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |