The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Poor Sleep and Altered Hypothalamic-Pituitary-Adrenocortical and Sympatho-Adrenal-Medullary System Activity in Children
Open accessAbstract
CONTEXT: Neuroendocrine alterations, with well-known links with health, may offer insight into why poor sleep is associated with poor health. Yet, studies testing associations between sleep and neuroendocrine activity in children are scarce. OBJECTIVE: The aim of this study was to determine whether actigraphy-based sleep pattern is associated with hypothalamic-pituitary-adrenocortical axis and sympatho-adrenal-medullary system activity in children. DESIGN AND SETTING: We conducted a cross-sectional study in a birth cohort in Helsinki, Finland. PARTICIPANTS: We studied 282 8-yr-old children. MAIN OUTCOME MEASURES: We measured diurnal salivary cortisol and salivary cortisol and alpha-amylase (a sympatho-adrenal-medullary system marker) responses to the Trier Social Stress Test for Children (TSST-C). RESULTS: Children with short ( 77.4%) displayed higher diurnal cortisol levels across the entire day (P < 0.03), higher cortisol levels after the TSST-C stressor (P < 0.04), and higher overall alpha-amylase levels across the entire TSST-C protocol (P < 0.05). The effects were not confounded by factors that may alter sleep or hormonal patterns. CONCLUSIONS: Poor sleep may signal altered neuroendocrine functioning in children. The findings may offer insight into the pathways linking poor sleep with poor health.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Impact of sleep debt on metabolic and endocrine function
Spiegel, K., Leproult, R., & Van Cauter, E. (1999) · The Lancet · doi:10.1016/s0140-6736(99)01376-8 · Cited by 3,668
Ohayon, M. M., Carskadon, M. A., Guilleminault, C., & Vitiello, M. V. (2004) · Sleep · doi:10.1093/sleep/27.7.1255 · Cited by 3,349
Nater, U. M., & Rohleder, N. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.01.014 · Cited by 1,370
The effects of sex and hormonal status on the physiological response to acute psychosocial stress
Kajantie, E., & Phillips, D. I. W. (2006) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2005.07.002 · Cited by 1,035 · cited 1×
“Sleep (39) and hormonal patterns (22) change with ageandpubertalmaturation.”
BackgroundSelf-citationBuckley, T. M., & Schatzberg, A. F. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-1056 · Cited by 964
Sleep Loss Results in an Elevation of Cortisol Levels the Next Evening
(1997) · Sleep · doi:10.1093/sleep/20.10.865 · Cited by 745
Attenuated free cortisol response to psychosocial stress in children with atopic dermatitis
Buske-Kirschbaum, A., Jobst, S., Wustmans, A., Kirschbaum, C., Rauh, W., & Hellhammer, D. (1997) · Psychosomatic Medicine · doi:10.1097/00006842-199707000-00012 · Cited by 696
Practice Parameters for the Clinical Evaluation and Treatment of Circadian Rhythm Sleep Disorders
Morgenthaler, T. I., Lee-Chiong, T., Alessi, C., Friedman, L., Aurora, R. N., Boehlecke, B., Brown, T., Chesson, A. L., Kapur, V., Maganti, R., et al. (2007) · Sleep · doi:10.1093/sleep/30.11.1445 · Cited by 629
Association of depression with medical illness: Does cortisol play a role?
Brown, E. S., Varghese, F. P., & McEwen, B. S. (2004) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00473-6 · Cited by 578 · cited 2×
“…accumulation of visceral fat, and hypertension and is among the most consistently demonstrated biological abnormalities related to mood disorders (10), our findings, if causal, may offer insight into the mechanisms underlying the link between poor sleep, regardless of age, and poor health (8, 9,…”
BackgroundSalivary α‐Amylase in Biobehavioral Research: Recent Developments and Applications
GRANGER, D. A., KIVLIGHAN, K. T., El‐SHEIKH, M., GORDIS, E. B., & STROUD, L. R. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1384.008 · Cited by 572 · cited 1×
“Finally, because associations with cortisol (22) and -amylase (28) may vary according to sex, we tested whether sex moderated any of the associations.”
BackgroundShort sleep duration in middle childhood: risk factors and consequences
Nixon, G. M., Thompson, J. M. D., Han, D. Y., Becroft, D. M., Clark, P. M., Robinson, E., Waldie, K. E., Wild, C. J., Black, P. N., & Mitchell, E. A. (2008) · SLEEP · doi:10.1093/sleep/31.1.71 · Cited by 414
Gunnar, M. R., Frenn, K., Wewerka, S. S., & Van Ryzin, M. J. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2008.08.013 · Cited by 363
Holsboer, F., von Bardeleben, U., & Steiger, A. (2008) · Neuroendocrinology · doi:10.1159/000124986 · Cited by 255 · cited 2×
“Indeed, preliminary clinical evidence in adults suggests that interventions targeted at suppressing CRH activity may be effective in treating insomnia (34–36).”
Background
Cited by
van Dalfsen, J. H., & Markus, C. R. (2018) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2017.10.002 · Cited by 329
Unno, K., Tanida, N., Ishii, N., Yamamoto, H., Iguchi, K., Hoshino, M., Takeda, A., Ozawa, H., Ohkubo, T., Juneja, L. R., et al. (2013) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2013.09.004 · Cited by 72
Bullying, sleep/wake patterns and subjective sleep disorders: Findings from a cross-sectional survey
Kubiszewski, V., Fontaine, R., Potard, C., & Gimenes, G. (2014) · Chronobiology International · doi:10.3109/07420528.2013.877475 · Cited by 70
Unno, K., Noda, S., Kawasaki, Y., Yamada, H., Morita, A., Iguchi, K., & Nakamura, Y. (2017) · Nutrients · doi:10.3390/nu9070777 · Cited by 65
Unno, K., Noda, S., Kawasaki, Y., Yamada, H., Morita, A., Iguchi, K., & Nakamura, Y. (2017) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.17-6 · Cited by 39
Metadata
- Authors
- Räikkönen, K., Matthews, K. A., Pesonen, A.-K., Pyhälä, R., Paavonen, E. J., Feldt, K., Jones, A., Phillips, D. I. W., Seckl, J. R., Heinonen, K., Lahti, J., Komsi, N., Järvenpää, A.-L., Eriksson, J. G., Strandberg, T. E., & Kajantie, E.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2010-05-01
- Volume
- 95
- Issue
- 5
- Pages
- 2254-2261
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2114630815
- Cited by
- 161
- References
- 13
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
