- 1School of Clinical Medicine, Hebei University, Baoding, Hebei, China
- 2Hebei Provincial Mental Health Center, Baoding, Hebei, China
- 3Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- 4National Health Commission of China Key Lab for Health Economics and Policy Research (Shandong University), Jinan, China
Background: Although several studies have explored the association between breakfast consumption and suicidal behaviors among children and adolescents, such associations have been less frequently reported among adults and seniors.
Method: This population-based cross-sectional study was conducted in Hebei Province, China. A total of 21, 376 community residents aged 18 years and older were interviewed. This study evaluated the breakfast frequency per week (BFF), full breakfast frequency (FBF), suicidal ideation, suicide plans, and suicide attempts of the participants. Sociodemographic variables, living alone, and sleep quality were also measured.
Results: The prevalence of suicidal ideation, plans, and attempts were 1.4, 0.3, and 0.2%, respectively. Compared to ≥6 days/week BFF, 2–3 days/week BFF was positively associated with suicidal ideation (OR = 1.93, p < 0.01), suicide plan (OR = 2.73, p < 0.05), and suicide attempts (OR = 3.46, p < 0.05). In addition, participants with 2–3 days/week FBF was also at higher risk of suicidal ideation (OR = 2.06, p < 0.001), comparing with never FBF.
Conclusion: The reported prevalence of suicidal ideation, plans, and attempts were lower compared to other countries. Lower breakfast frequency was positively associated with suicidal behaviors, and participants with 2–3 days/week of full breakfast consumption were also at a higher risk of suicidal ideation.
Background
The World Health Organization (WHO) reports that more than 700,000 people die by suicide every year, and many more people attempt suicide for every suicide (1). In China, although suicide rates have decreased in recent years (2), suicide remains the main cause of death. The potential years of life lost due to suicide also ranked in the top 10 among all causes of death (3). Suicide is an important social and public health problem in China and other countries.
In recent years, many studies have explored the factors associated with suicidal behaviors (4–6), which have been shown to be related to a series of social, psychological, and behavioral factors (7–9), such as gender (10), childhood trauma (11), substance disorder (12). Recently, several studies have shown that breakfast consumption is associated with suicidal behaviors among adolescents. For example, a positive association between skipping breakfast and suicide attempts was observed by the Korean Youth Risk Behavior Survey (13–16). Skipping breakfast has also been shown to be positively associated with suicidal ideation, plans, and attempts in the National Youth Risk Behavior Survey of the United States (17–19). Although the associations between breakfast consumption and suicidal behaviors have been supported among adolescents, they have been less explored among adults and seniors worldwide.
In previous studies, the mechanism underlying the association between breakfast consumption and suicidal behaviors among children and adolescents has been explained by the following assumptions. The first and foremost explanation is emotional status (17). Previous studies have shown that skipping breakfast is positively associated with a series of emotional states such as depression and anxiety (20–22). Furthermore, considering the strong association between emotional status and suicidal behaviors (23, 24), skipping breakfast and suicidal behaviors could also be linked. Another explanation is brain metabolism. The demand for glucose in brain metabolism among children and adolescents is higher than that among adults and seniors. Skipping breakfast could cause a lack of glucose in children and adolescents and may further cause hormonal abnormalities (25–27), which are risk factors for suicidal behavior (28, 29). Although both explanations are reasonable, they may raise doubts about the relationship between skipping breakfast and suicidal behavior among adults and seniors.
To fill these gaps, a population-based cross-sectional study was conducted to explore the associations among community residents aged >18 years. The first was to explore the association between breakfast frequency and suicidal behaviors among community residents. The second aim was to explore the association between full breakfast frequency and suicidal behaviors among adults and seniors. If these associations could be established, the associations between breakfast frequency and suicidal behaviors can not only be generalized to the entire population but could also provide stronger evidence for public health policy interventions aimed at suicide prevention in China and other countries worldwide.
Methods
Study sample and design
A cross-sectional study design was employed to investigate a community-dwelling population between August and October 2018 in Hebei Province, China. Hebei is an industrial and agricultural province in northern China, with approximately 75 million inhabitants as of 2021 (30). A multistage stratified cluster sampling method was used to select the samples using the following steps. First, five cities were randomly selected from the 11 cities of Hebei Province. Second, among the five cities, three rural counties and one urban district were randomly selected. Third, in all the selected counties and districts, one township or subdistrict was randomly selected. Fourth, one village or neighborhood was randomly selected from each township or subdistrict. Finally, 15 villages (five cities × three counties × one township × one village) and five neighborhoods (five cities × one district × one sub-district × one neighborhood) were selected for this study. In the selected villages and neighborhoods, all community residents aged 18 years and older were invited to participate in the interviews. Finally, 21,376 valid questionnaires were analyzed, with a valid response rate of 73.25% (21,376/29,182). After the calculation of minimum sample size, this study needed 6,198 participants, with an increasing with 50%, the minimum sample size was 9,297, and the sample size in this study was enough for the analyses.
Interview procedure
Data were collected via face-to-face interviews. One interviewer would interview one participant each time. Totally, there were 62 interviewers, who participated this study, and the interviewers were comprised of village doctors, undergraduate medical college students, and graduate students. All interviewers received training for one day to ensure thorough understanding of the research and questionnaire. Participants were scheduled for an interview after signing an informed consent form. On the night of the interviews, the interviewers were asked to check each other’s questionnaires. For each village or neighborhood, one supervisor was employed to further check the questionnaire. The interviewer was asked to revisit or call the interviewees to address missing data and logical errors. The Institutional Review Board (IRB) of the Sixth People Hospital of Hebei Province approved the study protocol prior to data collection. Written informed consent was obtained from all participants.
Measures
Suicidal ideation, plan and attempt
Three questions were used to evaluate suicidal behavior. Suicidal ideation was evaluated based on whether the participants had ever seriously considered killing themselves. Participants with positive responses were asked whether they ever planned their suicidal behaviors and whether they ever attempted suicide. The answers to all three questions were yes or no. These three questions are widely used to evaluate suicidal behaviors worldwide, such as in the National Comorbidity Survey Replication (NCSR) (31) and many other studies (9, 23, 32).
Breakfast consumption
In this study, breakfast consumption considered two variables: breakfast frequency (BFF) and full breakfast frequency (FBFF). BFF was evaluated using the question, “What is the frequency for your breakfast?” The responses were 6 days/week, 4–5 days/week, 2–3 days/week, and 1 day/week. FBFF was also evaluated using the question “What is the frequency for your very full breakfast?” The answers were ≥ 4 days/week, 2–3 days/week, ≤ 1 day/week, and never.
Social-demographic variables
Both male and female participants were included in the study. Age was calculated using birth data. Ethnicity was categorized as Hans, Huis, and Manchus. Due to the low percentages of the last three responses, Ethnicity was recorded into Hans and others. Academic degree was evaluated as the highest academic degree received by the participants. The answers were illiterate, elementary school, middle school, high school, bachelor’s degree, and above. Because of the lower responses for the last two answers, academic degree was recorded as illiteracy, elementary, middle school, high school, and above. Married status was evaluated as single, married, or other, and the last answer contained divorced, widowed, remarried, or other. The region was analyzed in both rural and urban areas.
Living alone
Living alone was measured using a question about the number of people living with the participants (not including themselves). Participants who lived without others were classified as living alone, and those with other responses were classified as not living alone.
Sleep quality
The Chinese version of the Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality (33). This scale is widely used to measure sleep quality in the world (34–36). This scale is comprised of seven dimensions. The sum of the scores in the seven dimensions was analyzed, with higher scores representing worse sleep quality.
Statistical analysis
Data analyses were performed using SPSS for Windows 24.0 (web version). Means and standard deviations were described as continuous variables. Frequencies and percentages are described for categorical variables. The Student’s t-test or chi-square test was performed to compare the statistical significance of suicidal ideation, plans, or attempts. Logistic regression analysis was conducted to examine the association between related factors and suicidal behaviors. The independent variables with missing data were deleted, and the dependent variables with missing data were filling with the mean or modal number. All the statistical tests were two-tailed, and p-values <0.05 were considered as statistically significant.
Results
In this study, data from 21,376 community residents were analyzed. In the study population, there were more females (11,537, 54.0%) and the mean age was 50.85 years. Detailed information on the samples can be found in the second row of Table 1. In this study, the prevalence rates of suicidal ideation, plans, and attempts were 1.4, 0.3, and 0.2%, respectively. Single analyses of the factors associated with suicidal behaviors were also conducted. Suicidal ideation was associated with gender (χ2 = 33.93, p < 0.001), age (t = 5.51, p < 0.001), academic degree (χ2 = 33.57, p < 0.001), married status (χ2 = 48.09, p < 0.001), living alone (χ2 = 31.84, p < 0.001) and sleep quality (t = 20.35, p < 0.001). Suicide plan was associated with age (t = 2.20, p < 0.05), married status (χ2 = 6.35, p < 0.05) and sleep quality (t = 7.30, p < 0.001). Suicide attempt was associated with sleep quality (χ2 = 3.58, p < 0.001). Detailed information is provided in Table 1.
Table 1. Sample description and single analyses for the factors associated with suicidal behaviors [Mean ± SD/n (%)].
The results showed that 85.6% of the participants had breakfast for more than 6 days/week. Single analyses of the association between breakfast consumption and suicidal behaviors are presented in Table 2. In this study, breakfast frequency (BFF) and full breakfast frequency (FBFF) were analyzed. The results showed that BFF was associated with suicidal ideation (χ2 = 11.16, p < 0.05), plan (χ2 = 11.10, p < 0.05), and attempt (χ2 = 12.22, p < 0.01), respectively. FBFF was associated with suicidal ideation (χ2 = 15.01, p < 0.01).
Table 2. Single analyses for the associations between breakfast consumption and suicidal behaviors (n = 21,376).
Logistic regressions were conducted to analyze the association between breakfast consumption and suicidal behaviors. The detailed results are presented in Table 3. For suicidal ideation, the associated factors were male sex (OR = 0.68, p < 0.01), elementary degree (OR = 1.60, p < 0.05), married status (OR = 0.64, p < 0.05), sleep quality (OR = 1.25, p < 0.001), 2–3 days/week BFF (OR = 1.93, p < 0.01), and 2–3 days/week FBF (OR = 2.06, p < 0.001). Suicide plan was associated with sleep quality (OR = 1.18, p < 0.001), 2–3 days/week BFF (OR = 2.73, p < 0.05), and ≤ 1 day/week BFF (OR = 2.34, p < 0.05). Suicide attempt was associated with illiteracy (OR = 0.16, p < 0.05), sleep quality (OR = 1.17, p < 0.001), 2–3 days/week BFF (OR = 3.46, p < 0.05), and ≤ 1 day/week BFF (OR = 2.89, p < 0.05).
Table 3. Logistical regressions for the associations between breakfast consumption and suicidal behaviors (n = 21,376).
Discussion
This study has several findings. The reported prevalence rates of suicidal ideation, suicide plans, and suicide attempts were 1.4, 0.3, and 0.2%, respectively. The main aim of this study was to explore the association between breakfast consumption and suicidal behavior. The results indicated that a lower BFF was positively associated with suicidal ideation, plans, and attempts. In addition, participants with 2–3 days/week FBF were also in higher risk of suicidal ideation, comparing with never FBF.
In this study, the prevalence of suicidal behaviors was slightly lower than those reported in other studies. A meta-analysis reported that the prevalence of suicidal ideation and attempts in Ethiopia ranges from 1 to 55% and 0.6 to14%, respectively (37). Studies in Norway reported that the prevalence of suicidal ideation is approximately 15% (38). In China, a meta-analysis reported that the prevalence of suicidal ideation and attempts was 3.9 and 0.8%, respectively (39). Another study conducted in a metropolitan area reported that the lifetime prevalence rates of suicidal ideation, plans, and attempts were 3.1, 0.9, and 1.0%, respectively (40). All these studies remind us that the international prevalence of suicidal behaviors was much higher than in our studies, and the prevalence of suicidal behaviors in this study was slightly lower than in other studies conducted in China. This may be explained by the recent downward trend in suicide rates in China, particularly in rural regions (2).
The main aim of this study was to test the association between BFF and suicidal behaviors. The results supported that a lower BFF was positively related to suicidal ideation, planning, and attempts. These associations have been shown in children and adolescents in several studies (41, 42). In this study, the association between BFF and suicidal behaviors was extended to adults and seniors. For children and adolescents, one of the main explanations is the higher demand for glucose in the brain metabolism. Another explanation is the effect of mood problems. Lower BFF has been associated with mood problems (43), which is a risk factor for suicidal behaviors worldwide (23, 44). The supported association may also be explained by healthy lifestyle, which is a protective factor for suicidal behaviors (41, 45).
This study also found that FBF was associated with suicidal ideation, but not with suicidal plans and attempts. Bulimia nervosa is characterized by consumption of large amounts of food. Individuals with FRF may be at a higher risk of bulimia nervosa, which is an important risk factor for suicidal behavior (46, 47). However, FBF was not associated with suicidal plans or attempts. This may be due to the small sample size and number of patients in this study. Larger samples should be analyzed to explore the associations between suicide plans, attempts, and FBF in the future.
In this study, poor sleep quality was positively associated with suicidal behavior. The effects of sleep quality on suicidal behavior have been identified in many previous studies (44, 48, 49). Other risk factors for suicidal ideation were female sex and a lower academic degree. In previous studies, both gender and education level also have been identified to be associated with suicidal ideation in China (50, 51). China is one of the few countries with high female suicide rates worldwide (52, 53). The causal relationship between education and suicidal behavior has also been supported by previous studies (54).
This study had some limitations that should be considered when interpreting its findings. First, because of its cross-sectional design, causal relationships between breakfast consumption and suicidal behaviors could not be inferred. Second, the variables analyzed in this study were self-reported, and recall bias cannot be avoided. Finally, the factors associated with suicidal behaviors are complex. Although several related factors were controlled for to obtain these findings, many other related factors were not controlled in this study.
Conclusion
Although there were some limitations to this study, to our knowledge, this is the first study to report an association between breakfast consumption and suicidal behaviors among adults and older adults. This study has several critical findings. First, the reported prevalence of suicidal behaviors was lower than those reported in previous studies. In addition, fewer BFF were positively associated with suicidal behaviors, and participants with 2–3 days/week of FBF were also at a higher risk of suicidal ideation. These findings extend our knowledge regarding the association between breakfast consumption and suicidal behaviors in adults and seniors. Considering breakfast consumption is a kind of healthy lifestyle, the findings in this study further imply the importance of healthy lifestyle on suicide prevention. Future studies can be conducted to explore the mechanism for the associations between breakfast consumption and suicidal behaviors.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Institutional Review Board of Hebei Mental Health Center approved the study (Approval Number: 201813). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
YZ: Writing – original draft. KL: Investigation, Methodology, Writing – review & editing. LZ: Investigation, Writing – review & editing. LS: Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by National Natural Science Foundation of China (71974114). The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
2. Zhang, J, Sun, L, Liu, Y, and Zhang, J. The change in suicide rates between 2002 and 2011 in China. Suicide Life Threat Behav. (2014) 44:560–8. doi: 10.1111/sltb.12090
3. Sun, L, and Zhang, J. Potential years of life lost due to suicide in China, 2006-2010. Public Health. (2015) 129:555–60. doi: 10.1016/j.puhe.2015.02.012
4. Sun, L, Li, K, Zhang, Y, and Zhang, L. Differentiating the associations between sleep quality and suicide behaviors: a population-based study in China. J Affect Disord. (2022) 297:553–8. doi: 10.1016/j.jad.2021.10.126
5. Sun, L, Zhang, J, Lamis, DA, and Wang, Y. Risk assessment on suicide death and attempt among Chinese rural youths aged 15-34 years. Int J Environ Res Public Health. (2021) 18:13362. doi: 10.3390/ijerph182413362
6. Costanza, A, Amerio, A, Odone, A, Baertschi, M, Richard-Lepouriel, H, Weber, K, et al. Suicide prevention from a public health perspective. What makes life meaningful? The opinion of some suicidal patients. Acta Biomed. (2020) 91:128–34. doi: 10.23750/abm.v91i3-S.9417
7. Zhang, J, Lester, D, and Sun, L. Gender differences between suicides and attempted suicides in Chinese rural young populations: findings from psychological autopsy studies. Asian J Psychiatr. (2022) 71:103064. doi: 10.1016/j.ajp.2022.103064
8. Qin, P, Agerbo, E, and Mortensen, PB. Suicide risk in relation to family history of completed suicide and psychiatric disorders: a nested case-control study based on longitudinal registers. Lancet. (2002) 360:1126–30. doi: 10.1016/s0140-6736(02)11197-4
9. Sun, L, Li, K, Zhang, Y, and Zhang, L. Carbon monoxide poisoning was associated with lifetime suicidal ideation: evidence from a population-based cross-sectional study in Hebei Province, China. Int J Public Health. (2022) 67:1604462. doi: 10.3389/ijph.2022.1604462
10. Luca, S, Yan, Y, Schueller, D, and O’Donnell, K. Exploring adolescent suicidal trajectories: the intersection of race/ethnicity, gender, and social connectedness. J Adolesc. (2024). doi: 10.1002/jad.12387
11. Baldini, V, Stefano, RD, Rindi, LV, Ahmed, AO, Koola, MM, Solmi, M, et al. Association between adverse childhood experiences and suicidal behavior in schizophrenia spectrum disorders: a systematic review and meta-analysis. Psychiatry Res. (2023) 329:115488. doi: 10.1016/j.psychres.2023.115488
12. Ahuja, M, Jain, M, Mamudu, H, Al Ksir, K, Sathiyaseelan, T, Zare, S, et al. Substance use disorder and suicidal ideation in rural Maryland. Chronic Stress. (2024) 8:24705470241268483. doi: 10.1177/24705470241268483
13. Park, H, and Lee, K. Association between breakfast consumption and suicidal attempts in adolescents. Psychol Res Behav Manag. (2022) 15:2529–41. doi: 10.2147/PRBM.S380192
14. Lee, Y, Jeon, YJ, Shim, JS, and Jung, SJ. Association between dietary and suicidal behaviors in adolescents in Korea based on the youth risk behavior survey (2015-2020). Epidemiol Health. (2022) 44:e2022033. doi: 10.4178/epih.e2022033
15. Kyung, Y, Choi, MH, Jeon, YJ, Lee, JS, Lee, JH, Jo, SH, et al. Association of atopic dermatitis with suicide risk among 788,411 adolescents: a Korean cross-sectional study. Ann Allergy Asthma Immunol. (2020) 125:55–64. doi: 10.1016/j.anai.2020.03.023
16. Lee, J, Jang, H, Kim, J, and Min, S. Development of a suicide index model in general adolescents using the South Korea 2012-2016 national representative survey data. Sci Rep. (2019) 9:1846. doi: 10.1038/s41598-019-38886-z
17. Liu, BP, Fang, HJ, and Jia, CX. The serial mediation of the association between breakfast skipping and suicidality by weight status and depressive symptoms: findings from the National Youth Risk Behavior Surveys of the United States. Nutrients. (2022) 14:956. doi: 10.3390/nu14050956
18. Li, X, Chi, G, Taylor, A, Chen, ST, Memon, AR, Zhang, Y, et al. Lifestyle behaviors and suicide-related behaviors in adolescents: cross-sectional study using the 2019 YRBS data. Front Public Health. (2021) 9:766972. doi: 10.3389/fpubh.2021.766972
19. Xiao, Y, Romanelli, M, and Lindsey, MA. A latent class analysis of health lifestyles and suicidal behaviors among US adolescents. J Affect Disord. (2019) 255:116–26. doi: 10.1016/j.jad.2019.05.031
20. Pengpid, S, and Peltzer, K. Associations of number of victimizations with mental health indicators and health-risk behaviours among a nationally representative sample of in-school adolescents in curacao. Child Abuse Negl. (2021) 111:104831. doi: 10.1016/j.chiabu.2020.104831
21. Brinkman, J, Garnett, B, Kolodinsky, J, Wang, W, and Pope, L. Intra-and interpersonal factors buffer the relationship between food insecurity and mental well-being among middle schoolers. J Sch Health. (2021) 91:102–10. doi: 10.1111/josh.12982
22. Yu, Y, Liu, J, Skokauskas, N, Liu, F, Zhang, L, Teng, T, et al. Prevalence of depression and anxiety, and associated factors, among Chinese primary and high school students: a cross-sectional, epidemiological study. Asia Pac Psychiatry. (2023) 15:e12523. doi: 10.1111/appy.12523
23. Casey, SM, Varela, A, Marriott, JP, Coleman, CM, and Harlow, BL. The influence of diagnosed mental health conditions and symptoms of depression and/or anxiety on suicide ideation, plan, and attempt among college students: findings from the healthy minds study, 2018-2019. J Affect Disord. (2022) 298:464–71. doi: 10.1016/j.jad.2021.11.006
24. Milner, A, Page, K, Witt, K, and LaMontagne, A. Psychosocial working conditions and suicide ideation. J Occup Environ Med. (2016) 58:584–7. doi: 10.1097/JOM.0000000000000700
25. Gwin, JA, and Leidy, HJ. Breakfast consumption augments appetite, eating behavior, and exploratory markers of sleep quality compared with skipping breakfast in healthy young adults. Curr Dev Nutr. (2018) 2:nzy074. doi: 10.1093/cdn/nzy074
26. Edefonti, V, Rosato, V, Parpinel, M, Nebbia, G, Fiorica, L, Fossali, E, et al. The effect of breakfast composition and energy contribution on cognitive and academic performance: a systematic review. Am J Clin Nutr. (2014) 100:626–56. doi: 10.3945/ajcn.114.083683
27. Freitas Junior, IF, Christofaro, DG, Codogno, JS, Monteiro, PA, Silveira, LS, and Fernandes, RA. The association between skipping breakfast and biochemical variables in sedentary obese children and adolescents. J Pediatr. (2012) 161:871–4. doi: 10.1016/j.jpeds.2012.04.055
28. Manceaux, P, Jacques, D, and Zdanowicz, N. Hormonal and developmental influences on adolescent suicide: a systematic review. Psychiatr Danub. (2015) 27:S300–4.
29. Caykoylu, A, Capoglu, I, and Ozturk, I. The possible factors affecting suicide attempts in the different phases of the menstrual cycle. Psychiatry Clin Neurosci. (2004) 58:460–4. doi: 10.1111/j.1440-1819.2004.01286.x
30. Statistics HpBo. Hebei statistical yearbook 2021. Beijing, China: China Statistics Press (2022).
31. Kessler, RC, Berglund, P, Borges, G, Nock, M, and Wang, PS. Trends in suicide ideation, plans, gestures, and attempts in the United States, 1990-1992 to 2001-2003. JAMA J Am Med Assoc. (2005) 293:2487–95. doi: 10.1001/jama.293.20.2487
32. DeVille, DC, Whalen, D, Breslin, FJ, Morris, AS, Khalsa, SS, Paulus, MP, et al. Prevalence and family-related factors associated with suicidal ideation, suicide attempts, and self-injury in children aged 9 to 10 years. JAMA Netw Open. (2020) 3:e1920956. doi: 10.1001/jamanetworkopen.2019.20956
33. Tsai, PS, Wang, SY, Wang, MY, Su, CT, Yang, TT, Huang, CJ, et al. Psychometric evaluation of the Chinese version of the Pittsburgh sleep quality index (CPSQI) in primary insomnia and control subjects. Qual Life Res. (2005) 14:1943–52. doi: 10.1007/s11136-005-4346-x
34. Backhaus, J, Junghanns, K, Broocks, A, Riemann, D, and Hohagen, F. Test-retest reliability and validity of the Pittsburgh sleep quality index in primary insomnia. J Psychosom Res. (2002) 53:737–40. doi: 10.1016/s0022-3999(02)00330-6
35. Del Rio Joao, KA, Becker, NB, de Neves, JS, and Isabel Santos Martins, R. Validation of the Portuguese version of the Pittsburgh sleep quality index (PSQI-PT). Psychiatry Res. (2017) 247:225–9. doi: 10.1016/j.psychres.2016.11.042
36. Guo, S, Sun, W, Liu, C, and Wu, S. Structural validity of the Pittsburgh sleep quality index in Chinese undergraduate students. Front Psychol. (2016) 7:1126. doi: 10.3389/fpsyg.2016.01126
37. Bifftu, BB, Tiruneh, BT, Dachew, BA, and Guracho, YD. Prevalence of suicidal ideation and attempted suicide in the general population of Ethiopia: a systematic review and meta-analysis. Int J Ment Health Syst. (2021) 15:27. doi: 10.1186/s13033-021-00449-z
38. Knudsen, AKS, Stene-Larsen, K, Gustavson, K, Hotopf, M, Kessler, RC, Krokstad, S, et al. Prevalence of mental disorders, suicidal ideation and suicides in the general population before and during the COVID-19 pandemic in Norway: a population-based repeated cross-sectional analysis. Lancet Reg Health Eur. (2021) 4:100071. doi: 10.1016/j.lanepe.2021.100071
39. Cao, X-L, Zhong, B-L, Xiang, Y-T, Ungvari, GS, Lai, KY, Chiu, HF, et al. Prevalence of suicidal ideation and suicide attempts in the general population of China: a meta-analysis. Int J Psychiatry Med. (2015) 49:296–308. doi: 10.1177/0091217415589306
40. Lee, S, Fung, SC, Tsang, A, Liu, ZR, Huang, YQ, He, YL, et al. Lifetime prevalence of suicide ideation, plan, and attempt in metropolitan China. Acta Psychiatr Scand. (2007) 116:429–37. doi: 10.1111/j.1600-0447.2007.01064.x
41. Michael, SL, Lowry, R, Merlo, C, Cooper, AC, Hyde, ET, and McKeon, R. Physical activity, sedentary, and dietary behaviors associated with indicators of mental health and suicide risk. Prev Med Rep. (2020) 19:101153. doi: 10.1016/j.pmedr.2020.101153
42. Hall, M, Fullerton, L, FitzGerald, C, and Green, D. Suicide risk and resiliency factors among Hispanic teens in New Mexico: schools can make a difference. J Sch Health. (2018) 88:227–36. doi: 10.1111/josh.12599
43. Fulkerson, JA, Sherwood, NE, Perry, CL, Neumark-Sztainer, D, and Story, M. Depressive symptoms and adolescent eating and health behaviors: a multifaceted view in a population-based sample. Prev Med. (2004) 38:865–75. doi: 10.1016/j.ypmed.2003.12.028
44. Sun, L, Zhang, J, and Liu, X. Insomnia symptom, mental disorder and suicide: a case-control study in Chinese rural youths. Sleep Biol Rhythms. (2015) 13:181–8. doi: 10.1111/sbr.12105
45. Kim, HR, and Han, MA. Associations between problematic smartphone use, unhealthy behaviors, and mental health status in Korean adolescents: based on data from the 13th Korea youth risk behavior survey (2017). Psychiatry Investig. (2020) 17:1216–25. doi: 10.30773/pi.2020.0007
46. Crow, SJ, Swanson, SA, le Grange, D, Feig, EH, and Merikangas, KR. Suicidal behavior in adolescents and adults with bulimia nervosa. Compr Psychiatry. (2014) 55:1534–9. doi: 10.1016/j.comppsych.2014.05.021
47. Goldstein, A, and Gvion, Y. Socio-demographic and psychological risk factors for suicidal behavior among individuals with anorexia and bulimia nervosa: a systematic review. J Affect Disord. (2019) 245:1149–67. doi: 10.1016/j.jad.2018.12.015
48. Holdaway, AS, Luebbe, AM, and Becker, SP. Rumination in relation to suicide risk, ideation, and attempts: exacerbation by poor sleep quality? J Affect Disord. (2018) 236:6–13. doi: 10.1016/j.jad.2018.04.087
49. McCarthy, E, DeViva, JC, Southwick, SM, and Pietrzak, RH. Self-rated sleep quality predicts incident suicide ideation in US military veterans: results from a 7-year, nationally representative, prospective cohort study. J Sleep Res. (2022) 31:e13447. doi: 10.1111/jsr.13447
50. Sun, L, and Zhang, J. Suicide ideation and acceptability among females aged 15 to 34 years in rural China. J Nerv Ment Dis. (2014) 202:161–6. doi: 10.1097/NMD.0000000000000104
51. Li, C, Wei, Z, Wang, Y, and Sun, L. Associations between suicidal ideation and Relatives’ physical and mental health among community residents: differences between family members and lineal consanguinity. Int J Environ Res Public Health. (2022) 19:15997. doi: 10.3390/ijerph192315997
52. Wang, CW, Chan, C, and Yip, P. Suicide rates in China from 2002 to 2011: an update. Soc Psychiatry Psychiatric Epidemiol. (2014) 49:929–41. doi: 10.1007/s00127-013-0789-5
53. Sha, F, Chang, Q, Law, YW, Hong, Q, and Yip, PS. Suicide rates in China, 2004–2014: comparing data from two sample-based mortality surveillance systems. BMC Public Health. (2018) 18:1–9. doi: 10.1186/s12889-018-5161-y
54. Lannoy, S, Ohlsson, H, Kendler, KS, Sundquist, J, Sundquist, K, and Edwards, AC. The causal effect of education and cognitive performance on risk for suicide attempt: a combined instrumental variable and co-relative approach in a Swedish national cohort. J Affect Disord. (2022) 305:115–21. doi: 10.1016/j.jad.2022.03.004
Keywords: breakfast consumption, suicidal ideation, suicide plan, suicide attempt, population-based study
Citation: Zhang Y, Li K, Zhang L and Sun L (2024) Breakfast consumption was associated with suicidal ideation, plan, and attempt: a population-based cross-sectional study. Front. Public Health. 12:1410499. doi: 10.3389/fpubh.2024.1410499
Edited by:
Juncheng Lyu, Shandong Second Medical University, ChinaReviewed by:
Valentina Baldini, University of Bologna, ItalyNicolas Padilla-Raygoza, Institute of Public Health of the State of Guanajuato (ISAPEG), Mexico
Copyright © 2024 Zhang, Li, Zhang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Long Sun, c3VubG9uZ0BzZHUuZWR1LmNu