Sleep Problems and Health Outcomes Among Urban American Indian and Alaska Native Adolescents Article Swipe
Wendy Troxel
,
David J. Klein
,
Lu Dong
,
Zahra Mousavi
,
Daniel L. Dickerson
,
Carrie L. Johnson
,
Alina I. Palimaru
,
Ryan Brown
,
Anthony Rodriguez
,
Jennifer D. Parker
,
Kurt Schweigman
,
Elizabeth J. D’Amico
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1001/jamanetworkopen.2024.14735
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1001/jamanetworkopen.2024.14735
Importance Adolescent sleep problems are prevalent, particularly among racial and ethnic minority groups, and can increase morbidity. Despite the numerous strengths of their racial and ethnic group, urban American Indian and Alaska Native adolescents face significant health disparities but are rarely included in health research. Understanding how sleep problems are associated with health outcomes among American Indian and Alaska Native adolescents may elucidate novel targets for interventions to promote health equity. Objective To assess whether baseline sleep problems are associated with changes in behavioral and cardiometabolic health outcomes among urban American Indian and Alaska Native adolescents 2 years later. Design, Setting, and Participants American Indian and Alaska Native adolescents were recruited via flyers and community events for an observational cohort study in California. Baseline assessments were conducted among 142 adolescents from March 1, 2018, to March 31, 2020, and follow-ups were conducted among 114 adolescents from December 1, 2020, to June 30, 2022. Exposures Baseline actigraphy-assessed sleep duration and efficiency and self-reported sleep disturbances and social jet lag (absolute value of the difference in sleep midpoint on weekends vs weekdays; indicator of circadian misalignment). Main Outcomes and Measures Main outcome measures included self-reported depression (measured using the Patient Health Questionnaire), anxiety (measured using the Generalized Anxiety Disorder 7-item scale), past year alcohol and cannabis use, body mass index, systolic blood pressure (SBP) and diastolic blood pressure (DBP), waist circumference, and glycosylated hemoglobin (HbA 1c ). Analyses examined whether baseline sleep was associated with health outcomes at follow-up, controlling for age, sex, and baseline outcome measures. Results The baseline sample included 142 urban American Indian and Alaska Native adolescents (mean [SD] age, 14.0 [1.4] years; 84 girls [59%]), 80% of whom (n = 114; mean [SD] age, 14.1 [1.3] years; 71 girls [62%]) completed follow-ups. Linear or logistic regressions showed significant negative associations between shorter sleep duration and depression (β = −1.21 [95% CI, −2.19 to −0.24]), anxiety (β = −0.89 [95% CI, −1.76 to −0.03]), DBP (β = −2.03 [95% CI, −3.79 to −0.28]), and HbA 1c level (β = −0.15 [95% CI, −0.26 to −0.04]) and likelihood of alcohol (odds ratio [OR], 0.57 [95% CI, 0.36-0.91]) and cannabis use (full week: OR, 0.59 [95% CI, 0.35-0.99]) at follow-up. Greater social jet lag was associated with significantly higher SBP (β = 0.06 [95% CI, 0.01-0.11]) at follow-up. Conclusions and Relevance This cohort study found significant associations between poor sleep and adverse changes in health outcomes. Findings highlight the importance of developing culturally responsive interventions that target sleep as a key modifiable risk factor to improve the health of American Indian and Alaska Native adolescents.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1001/jamanetworkopen.2024.14735
- https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2819449/troxel_2024_oi_240501_1716576008.47955.pdf
- OA Status
- gold
- Cited By
- 7
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399323716
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399323716Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1001/jamanetworkopen.2024.14735Digital Object Identifier
- Title
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Sleep Problems and Health Outcomes Among Urban American Indian and Alaska Native AdolescentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-06-04Full publication date if available
- Authors
-
Wendy Troxel, David J. Klein, Lu Dong, Zahra Mousavi, Daniel L. Dickerson, Carrie L. Johnson, Alina I. Palimaru, Ryan Brown, Anthony Rodriguez, Jennifer D. Parker, Kurt Schweigman, Elizabeth J. D’AmicoList of authors in order
- Landing page
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https://doi.org/10.1001/jamanetworkopen.2024.14735Publisher landing page
- PDF URL
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https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2819449/troxel_2024_oi_240501_1716576008.47955.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2819449/troxel_2024_oi_240501_1716576008.47955.pdfDirect OA link when available
- Concepts
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Medicine, Body mass index, Health equity, Anxiety, Actigraphy, Gerontology, Demography, Psychological intervention, Psychiatry, Public health, Insomnia, Internal medicine, Sociology, NursingTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 6, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 21, 170, 181, 278, 348, 409, 427 |
| abstract_inverted_index.on | 176 |
| abstract_inverted_index.or | 295 |
| abstract_inverted_index.to | 67, 134, 149, 314, 323, 332, 344, 423 |
| abstract_inverted_index.vs | 178 |
| abstract_inverted_index.(β | 308, 317, 326, 338, 379 |
| abstract_inverted_index.114 | 143 |
| abstract_inverted_index.142 | 128, 260 |
| abstract_inverted_index.30, | 151 |
| abstract_inverted_index.31, | 136 |
| abstract_inverted_index.80% | 277 |
| abstract_inverted_index.CI, | 312, 321, 330, 342, 355, 365, 383 |
| abstract_inverted_index.DBP | 325 |
| abstract_inverted_index.HbA | 335 |
| abstract_inverted_index.OR, | 362 |
| abstract_inverted_index.SBP | 378 |
| abstract_inverted_index.The | 256 |
| abstract_inverted_index.and | 9, 13, 24, 30, 57, 84, 92, 101, 105, 113, 138, 158, 160, 164, 186, 212, 222, 229, 251, 264, 306, 334, 346, 357, 388, 399, 430 |
| abstract_inverted_index.are | 4, 39, 49, 78 |
| abstract_inverted_index.but | 38 |
| abstract_inverted_index.can | 14 |
| abstract_inverted_index.for | 65, 116, 248 |
| abstract_inverted_index.how | 46 |
| abstract_inverted_index.jet | 166, 371 |
| abstract_inverted_index.key | 419 |
| abstract_inverted_index.lag | 167, 372 |
| abstract_inverted_index.may | 61 |
| abstract_inverted_index.the | 18, 171, 196, 203, 407, 425 |
| abstract_inverted_index.use | 359 |
| abstract_inverted_index.via | 111 |
| abstract_inverted_index.was | 240, 373 |
| abstract_inverted_index.(HbA | 232 |
| abstract_inverted_index.0.06 | 381 |
| abstract_inverted_index.0.57 | 353 |
| abstract_inverted_index.0.59 | 363 |
| abstract_inverted_index.114; | 282 |
| abstract_inverted_index.14.0 | 271 |
| abstract_inverted_index.14.1 | 286 |
| abstract_inverted_index.June | 150 |
| abstract_inverted_index.Main | 184, 188 |
| abstract_inverted_index.This | 390 |
| abstract_inverted_index.[95% | 311, 320, 329, 341, 354, 364, 382 |
| abstract_inverted_index.[SD] | 269, 284 |
| abstract_inverted_index.age, | 249, 270, 285 |
| abstract_inverted_index.body | 215 |
| abstract_inverted_index.face | 34 |
| abstract_inverted_index.from | 130, 145 |
| abstract_inverted_index.mass | 216 |
| abstract_inverted_index.mean | 283 |
| abstract_inverted_index.past | 209 |
| abstract_inverted_index.poor | 397 |
| abstract_inverted_index.risk | 421 |
| abstract_inverted_index.sex, | 250 |
| abstract_inverted_index.that | 414 |
| abstract_inverted_index.use, | 214 |
| abstract_inverted_index.were | 109, 125, 140 |
| abstract_inverted_index.whom | 279 |
| abstract_inverted_index.with | 51, 80, 242, 375 |
| abstract_inverted_index.year | 210 |
| abstract_inverted_index.(SBP) | 221 |
| abstract_inverted_index.(full | 360 |
| abstract_inverted_index.(mean | 268 |
| abstract_inverted_index.(odds | 350 |
| abstract_inverted_index.2018, | 133 |
| abstract_inverted_index.2020, | 137, 148 |
| abstract_inverted_index.2022. | 152 |
| abstract_inverted_index.March | 131, 135 |
| abstract_inverted_index.[1.3] | 287 |
| abstract_inverted_index.[1.4] | 272 |
| abstract_inverted_index.[OR], | 352 |
| abstract_inverted_index.among | 7, 54, 88, 127, 142 |
| abstract_inverted_index.blood | 219, 224 |
| abstract_inverted_index.found | 393 |
| abstract_inverted_index.girls | 275, 290 |
| abstract_inverted_index.level | 337 |
| abstract_inverted_index.novel | 63 |
| abstract_inverted_index.ratio | 351 |
| abstract_inverted_index.sleep | 2, 47, 76, 156, 162, 174, 239, 304, 398, 416 |
| abstract_inverted_index.study | 120, 392 |
| abstract_inverted_index.their | 22 |
| abstract_inverted_index.urban | 27, 89, 261 |
| abstract_inverted_index.using | 195, 202 |
| abstract_inverted_index.value | 169 |
| abstract_inverted_index.waist | 227 |
| abstract_inverted_index.week: | 361 |
| abstract_inverted_index.years | 97 |
| abstract_inverted_index.(DBP), | 226 |
| abstract_inverted_index.7-item | 207 |
| abstract_inverted_index.Alaska | 31, 58, 93, 106, 265, 431 |
| abstract_inverted_index.Health | 198 |
| abstract_inverted_index.Indian | 29, 56, 91, 104, 263, 429 |
| abstract_inverted_index.Linear | 294 |
| abstract_inverted_index.Native | 32, 59, 94, 107, 266, 432 |
| abstract_inverted_index.[62%]) | 291 |
| abstract_inverted_index.assess | 73 |
| abstract_inverted_index.cohort | 119, 391 |
| abstract_inverted_index.ethnic | 10, 25 |
| abstract_inverted_index.events | 115 |
| abstract_inverted_index.factor | 422 |
| abstract_inverted_index.flyers | 112 |
| abstract_inverted_index.group, | 26 |
| abstract_inverted_index.health | 36, 43, 52, 69, 86, 243, 403, 426 |
| abstract_inverted_index.higher | 377 |
| abstract_inverted_index.index, | 217 |
| abstract_inverted_index.later. | 98 |
| abstract_inverted_index.racial | 8, 23 |
| abstract_inverted_index.rarely | 40 |
| abstract_inverted_index.sample | 258 |
| abstract_inverted_index.showed | 298 |
| abstract_inverted_index.social | 165, 370 |
| abstract_inverted_index.target | 415 |
| abstract_inverted_index.years; | 273, 288 |
| abstract_inverted_index.Anxiety | 205 |
| abstract_inverted_index.Design, | 99 |
| abstract_inverted_index.Despite | 17 |
| abstract_inverted_index.Greater | 369 |
| abstract_inverted_index.Patient | 197 |
| abstract_inverted_index.Results | 255 |
| abstract_inverted_index.[59%]), | 276 |
| abstract_inverted_index.adverse | 400 |
| abstract_inverted_index.alcohol | 211, 349 |
| abstract_inverted_index.anxiety | 200, 316 |
| abstract_inverted_index.between | 302, 396 |
| abstract_inverted_index.changes | 81, 401 |
| abstract_inverted_index.equity. | 70 |
| abstract_inverted_index.groups, | 12 |
| abstract_inverted_index.improve | 424 |
| abstract_inverted_index.outcome | 189, 253 |
| abstract_inverted_index.promote | 68 |
| abstract_inverted_index.scale), | 208 |
| abstract_inverted_index.shorter | 303 |
| abstract_inverted_index.targets | 64 |
| abstract_inverted_index.whether | 74, 237 |
| abstract_inverted_index.−0.15 | 340 |
| abstract_inverted_index.−0.26 | 343 |
| abstract_inverted_index.−0.89 | 319 |
| abstract_inverted_index.−1.21 | 310 |
| abstract_inverted_index.−1.76 | 322 |
| abstract_inverted_index.−2.03 | 328 |
| abstract_inverted_index.−2.19 | 313 |
| abstract_inverted_index.−3.79 | 331 |
| abstract_inverted_index.American | 28, 55, 90, 103, 262, 428 |
| abstract_inverted_index.Analyses | 235 |
| abstract_inverted_index.Baseline | 123, 154 |
| abstract_inverted_index.December | 146 |
| abstract_inverted_index.Disorder | 206 |
| abstract_inverted_index.Findings | 405 |
| abstract_inverted_index.Measures | 187 |
| abstract_inverted_index.Outcomes | 185 |
| abstract_inverted_index.Setting, | 100 |
| abstract_inverted_index.baseline | 75, 238, 252, 257 |
| abstract_inverted_index.cannabis | 213, 358 |
| abstract_inverted_index.duration | 157, 305 |
| abstract_inverted_index.examined | 236 |
| abstract_inverted_index.included | 41, 191, 259 |
| abstract_inverted_index.increase | 15 |
| abstract_inverted_index.logistic | 296 |
| abstract_inverted_index.measures | 190 |
| abstract_inverted_index.midpoint | 175 |
| abstract_inverted_index.minority | 11 |
| abstract_inverted_index.negative | 300 |
| abstract_inverted_index.numerous | 19 |
| abstract_inverted_index.outcomes | 53, 87, 244 |
| abstract_inverted_index.pressure | 220, 225 |
| abstract_inverted_index.problems | 3, 48, 77 |
| abstract_inverted_index.systolic | 218 |
| abstract_inverted_index.weekends | 177 |
| abstract_inverted_index.(absolute | 168 |
| abstract_inverted_index.(measured | 194, 201 |
| abstract_inverted_index.Exposures | 153 |
| abstract_inverted_index.Objective | 71 |
| abstract_inverted_index.Relevance | 389 |
| abstract_inverted_index.circadian | 182 |
| abstract_inverted_index.community | 114 |
| abstract_inverted_index.completed | 292 |
| abstract_inverted_index.conducted | 126, 141 |
| abstract_inverted_index.diastolic | 223 |
| abstract_inverted_index.elucidate | 62 |
| abstract_inverted_index.highlight | 406 |
| abstract_inverted_index.indicator | 180 |
| abstract_inverted_index.measures. | 254 |
| abstract_inverted_index.outcomes. | 404 |
| abstract_inverted_index.recruited | 110 |
| abstract_inverted_index.research. | 44 |
| abstract_inverted_index.strengths | 20 |
| abstract_inverted_index.weekdays; | 179 |
| abstract_inverted_index.−0.04]) | 345 |
| abstract_inverted_index.Adolescent | 1 |
| abstract_inverted_index.Importance | 0 |
| abstract_inverted_index.associated | 50, 79, 241, 374 |
| abstract_inverted_index.behavioral | 83 |
| abstract_inverted_index.culturally | 411 |
| abstract_inverted_index.depression | 193, 307 |
| abstract_inverted_index.developing | 410 |
| abstract_inverted_index.difference | 172 |
| abstract_inverted_index.efficiency | 159 |
| abstract_inverted_index.follow-up, | 246 |
| abstract_inverted_index.follow-up. | 368, 386 |
| abstract_inverted_index.follow-ups | 139 |
| abstract_inverted_index.hemoglobin | 231 |
| abstract_inverted_index.importance | 408 |
| abstract_inverted_index.likelihood | 347 |
| abstract_inverted_index.modifiable | 420 |
| abstract_inverted_index.morbidity. | 16 |
| abstract_inverted_index.prevalent, | 5 |
| abstract_inverted_index.responsive | 412 |
| abstract_inverted_index.−0.03]), | 324 |
| abstract_inverted_index.−0.24]), | 315 |
| abstract_inverted_index.−0.28]), | 333 |
| abstract_inverted_index.0.01-0.11]) | 384 |
| abstract_inverted_index.0.35-0.99]) | 366 |
| abstract_inverted_index.0.36-0.91]) | 356 |
| abstract_inverted_index.California. | 122 |
| abstract_inverted_index.Conclusions | 387 |
| abstract_inverted_index.Generalized | 204 |
| abstract_inverted_index.adolescents | 33, 60, 95, 108, 129, 144, 267 |
| abstract_inverted_index.assessments | 124 |
| abstract_inverted_index.controlling | 247 |
| abstract_inverted_index.disparities | 37 |
| abstract_inverted_index.follow-ups. | 293 |
| abstract_inverted_index.regressions | 297 |
| abstract_inverted_index.significant | 35, 299, 394 |
| abstract_inverted_index.Participants | 102 |
| abstract_inverted_index.adolescents. | 433 |
| abstract_inverted_index.associations | 301, 395 |
| abstract_inverted_index.disturbances | 163 |
| abstract_inverted_index.glycosylated | 230 |
| abstract_inverted_index.particularly | 6 |
| abstract_inverted_index.Understanding | 45 |
| abstract_inverted_index.interventions | 66, 413 |
| abstract_inverted_index.observational | 118 |
| abstract_inverted_index.self-reported | 161, 192 |
| abstract_inverted_index.significantly | 376 |
| abstract_inverted_index.circumference, | 228 |
| abstract_inverted_index.misalignment). | 183 |
| abstract_inverted_index.Questionnaire), | 199 |
| abstract_inverted_index.cardiometabolic | 85 |
| abstract_inverted_index.actigraphy-assessed | 155 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5051125906 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I1309849503 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.94990797 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |