| Title |
The pervasive effect of youth self-report of hunger on depression over 6 years of follow up
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, March 2017
|
| DOI | 10.1007/s00127-017-1361-5 |
| Pubmed ID | |
| Authors |
Lynn McIntyre, Xiuyun Wu, Cynthia Kwok, Scott B. Patten |
| Abstract |
We used longitudinal data to clarify the association between self-report of hunger and subsequent depression risk among youth and young adults, accounting for other risk factors. Youth self-report of ever experiencing hunger data were collected from cycles 4-6 of the National Longitudinal Survey of Children and Youth cohort of Canadian youth 16 years and older (n = 4139). Data on depressive symptoms (CES-D 12) were collected over three cycles (2004-2009, cycles 6-8). We used multivariable regression based on generalized estimating equations (GEE) to examine prior youth hunger on later depression risk, adjusting for time-stable, time-varying, and lagged variables (e.g., depressive symptoms in previous cycle), thereby clarifying the temporal relationship. The prevalence of youth hunger experience and depression risk reached 5.9 and 15.0%, respectively. The adjusted odds ratio of depression for participants reporting hunger was 2.31 (95% CI 1.54, 3.46) and changed little [2.17 (95% CI 1.29, 3.67)] after accounting for previous CES-D 12 scores, suggesting a temporal relationship in which hunger contributes to depression risk. Unlike never-hungry youth, depression in ever-hungry youth remained comparatively elevated over time. Our models support an independent and temporal relationship between youth self-report of hunger and depression in adolescence and young adulthood. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Student > Bachelor | 8 | 12% |
| Other | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 23 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 18% |
| Social Sciences | 7 | 10% |
| Psychology | 7 | 10% |
| Medicine and Dentistry | 6 | 9% |
| Materials Science | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 28 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2022.
All research outputs
#7,413,939
of 24,580,204 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,302
of 2,656 outputs
Outputs of similar age
#110,851
of 312,926 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#30
of 49 outputs
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