Association of Postpartum Depression with Maternal Suicide: A Nationwide Population-Based Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Sources
2.2. Ethical Approval
2.3. Study and Comparison Cohorts
2.4. Statistical Analysis
3. Results
3.1. Clinical Characteristics
3.2. Cumulative Risk of Suicide
3.3. Factors Associated with Suicide
4. Discussion
4.1. Suicide and Subclinical Depression
4.2. Suicide and Subclinical Anxiety
4.3. Suicide and Age
4.4. Suicide and Season
4.5. Mean Time to Suicide
4.6. PDD and Physical Diseases
4.7. Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Harper, C. (Ed.) Diagnostic and Statistical Manual of Mental Disorders. In A Companion to Criminal Justice, Mental Health and Risk; Policy Press: Bristol, UK, 2014. [Google Scholar]
- Shorey, S.; Chee, C.Y.I.; Ng, E.D.; Chan, Y.H.; Tam, W.W.S.; Chong, Y.S. Prevalence and incidence of postpartum depression among healthy mothers: A systematic review and meta-analysis. J. Psychiatr. Res. 2018, 104, 235–248. [Google Scholar] [CrossRef] [PubMed]
- Yim, I.S.; Tanner Stapleton, L.R.; Guardino, C.M.; Hahn-Holbrook, J.; Dunkel Schetter, C. Biological and psychosocial predictors of postpartum depression: Systematic review and call for integration. Annu. Rev. Clin. Psychol. 2015, 11, 99–137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stewart, D.E.; Vigod, S.N. Postpartum depression: Pathophysiology, treatment, and emerging therapeutics. Annu. Rev. Med. 2019, 70, 183–196. [Google Scholar] [CrossRef]
- Vliegen, N.; Luyten, P.; Besser, A.; Casalin, S.; Kempke, S.; Tang, E. Stability and change in levels of depression and personality: A follow-up study of postpartum depressed mothers that were hospitalized in a mother-infant unit. J. Nerv. Ment. Dis. 2010, 198, 45–51. [Google Scholar] [CrossRef]
- O’Hara, M.W.; McCabe, J.E. Postpartum depression: Current status and future directions. Annu. Rev. Clin. Psychol. 2013, 9, 379–407. [Google Scholar] [CrossRef] [PubMed]
- Nonacs, R.; Cohen, L.S. Assessment and treatment of depression during pregnancy: An update. Psychiatr. Clin. N. Am. 2003, 26, 547–562. [Google Scholar] [CrossRef]
- Sanger, C.; Iles, J.E.; Andrew, C.S.; Ramchandani, P.G. Associations between postnatal maternal depression and psychological outcomes in adolescent offspring: A systematic review. Arch. Women’s Ment. Health 2015, 18, 147–162. [Google Scholar] [CrossRef]
- Sundström-Poromaa, I. The menstrual cycle influences emotion but has limited effect on cognitive function. Vitam. Horm. 2018, 107, 349–376. [Google Scholar]
- Schüle, C.; Nothdurfter, C.; Rupprecht, R. The role of allopregnanolone in depression and anxiety. Prog. Neurobiol. 2014, 113, 79–87. [Google Scholar] [CrossRef]
- Sha, Q.; Achtyes, E.; Nagalla, M.; Keaton, S.; Smart, L.; Leach, R.; Brundin, L. Associations between estrogen and progesterone, the kynurenine pathway, and inflammation in the post-partum. J. Affect. Disord. 2021, 281, 9–12. [Google Scholar] [CrossRef]
- Baca-Garcia, E.; Diaz-Sastre, C.; Ceverino, A.; Perez-Rodriguez, M.M.; Navarro-Jimenez, R.; Lopez-Castroman, J.; Saiz-Ruiz, J.; de Leon, J.; Oquendo, M.A. Suicide attempts among women during low estradiol/low progesterone states. J. Psychiatr. Res. 2010, 44, 209–214. [Google Scholar] [CrossRef] [PubMed]
- Mousavi, S.G.; Bateni, S.; Maracy, M.R.; Mardanian, F.; Mousavi, S.H. Recurrent suicide attempt and female hormones. Adv. Biomed. Res. 2014, 3, 201. [Google Scholar] [CrossRef] [PubMed]
- Kurlansik, S.L.; Ibay, A.D. Seasonal affective disorder. Am. Fam. Physician 2012, 86, 1037–1041. [Google Scholar] [PubMed]
- Hawton, K.; Casañas, I.; Comabella, C.; Haw, C.; Saunders, K. Risk factors for suicide in individuals with depression: A systematic review. J. Affect. Disord. 2013, 147, 17–28. [Google Scholar] [CrossRef] [PubMed]
- Lindahl, V.; Pearson, J.L.; Colpe, L. Prevalence of suicidality during pregnancy and the postpartum. Arch. Women’s Ment. Health 2005, 8, 77–87. [Google Scholar] [CrossRef]
- Tang, D.; Siu, B. Maternal infanticide and filicide in a psychiatric custodial institution in Hong Kong. East Asian Arch. Psychiatry 2018, 28, 139–143. [Google Scholar]
- Bernert, S.; Matschinger, H.; Alonso, J.; Haro, J.M.; Brugha, T.S.; Angermeyer, M.C. Is it always the same? Variability of depressive symptoms across six European countries. Psychiatry Res. 2009, 168, 137–144. [Google Scholar] [CrossRef] [Green Version]
- Nock, M.K.; Borges, G.; Bromet, E.J.; Alonso, J.; Angermeyer, M.; Beautrais, A.; Bruffaerts, R.; Chiu, W.T.; De Girolamo, G.; Gluzman, S.; et al. Cross-national prevalence and risk factors for suicidal ideation, plans and attempts. Br. J. Psychiatry 2008, 192, 98–105. [Google Scholar] [CrossRef]
- Lu, J.F.; Hsiao, W.C. Does universal health insurance make health care unaffordable? Lessons from Taiwan. Health Aff. 2003, 22, 77–88. [Google Scholar] [CrossRef]
- Cukrowicz, K.C.; Schlegel, E.F.; Smith, P.N.; Jacobs, M.P.; Van Orden, K.A.; Paukert, A.L.; Pettit, J.W.; Joiner, T.E. Suicide ideation among college students evidencing subclinical depression. J. Am. Coll. Health 2011, 59, 575–581. [Google Scholar] [CrossRef] [Green Version]
- Préville, M.; Hébert, R.; Boyer, R.; Bravo, G.; Seguin, M. Physical health and mental disorder in elderly suicide: A case-control study. Aging Ment. Health. 2005, 9, 576–584. [Google Scholar] [CrossRef] [PubMed]
- Duan, Y.; Wei, J.; Geng, W.; Jiang, J.; Zhao, X.; Li, T.; Jiang, Y.; Shi, L.; Cao, J.; Zhu, G.; et al. Research on cognitive function in anxious depression patients in China. J. Affect Disord. 2021, 280 Pt A, 121–126. [Google Scholar]
- Choi, K.W.; Kim, Y.K.; Jeon, H.J. Comorbid anxiety and depression: Clinical and conceptual consideration and transdiagnostic treatment. Adv. Exp. Med. Biol. 2020, 1191, 219–235. [Google Scholar] [PubMed]
- World Health Organization. Age-Standardized Suicide Rates (Per 100,000 Population); Global Health Observatory of Mental Health: Geneva, Switzerland, 2012. [Google Scholar]
- Howard, L.M.; Flach, C.; Mehay, A.; Sharp, D.; Tylee, A. The prevalence of suicidal ideation identified by the Edinburgh Postnatal Depression Scale in postpartum women in primary care: Findings from the RESPOND trial. BMC Pregnancy Childbirth 2011, 11, 57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gressier, F.; Guillard, V.; Cazas, O.; Falissard, B.; Glangeaud-Freudenthal, N.M.; Sutter-Dallay, A.L. Risk factors for suicide attempt in pregnancy and the post-partum period in women with serious mental illnesses. J. Psychiatr. Res. 2017, 84, 284–291. [Google Scholar] [CrossRef] [PubMed]
- Chu, J.; Robinett, E.N.; Ma, J.K.L.; Shadish, K.Y.; Goldblum, P.; Bongar, B. Cultural versus classic risk and protective factors for suicide. Death Stud. 2019, 43, 56–61. [Google Scholar] [CrossRef] [PubMed]
- Nussbaumer-Streit, B.; Forneris, C.A.; Morgan, L.C.; Van Noord, M.G.; Gaynes, B.N.; Greenblatt, A.; Wipplinger, J.; Lux, L.J.; Winkler, D.; Gartlehner, G. Light therapy for preventing seasonal affective disorder. Cochrane Database Syst Rev. 2019, 3, CD011269. [Google Scholar]
- Sit, D.; Seltman, H.; Wisner, K.L. Seasonal effects on depression risk and suicidal symptoms in postpartum women. Depress. Anxiety 2011, 28, 400–405. [Google Scholar] [CrossRef] [Green Version]
- Bouvier, E.; Brouillard, F.; Molet, J.; Claverie, D.; Cabungcal, J.H.; Cresto, N.; Doligez, N.; Rivat, C.; Do, K.Q.; Bernard, C.; et al. Nrf2-dependent persistent oxidative stress results in stress-induced vulnerability to depression. Mol. Psychiatry 2017, 22, 1701–1713. [Google Scholar] [CrossRef] [Green Version]
- Park, C.; Rosenblat, J.D.; Brietzke, E.; Pan, Z.; Lee, Y.; Cao, B.; Zuckerman, H.; Kalantarova, A.; McIntyre, R.S. Stress, epigenetics and depression: A systematic review. Neurosci. Biobehav. Rev. 2019, 102, 139–152. [Google Scholar] [CrossRef]
- Banerjee, R.; Ghosh, A.K.; Ghosh, B.; Bhattacharyya, S.; Mondal, A.C. Decreased mRNA and protein expression of BDNF, NGF, and their receptors in the hippocampus from suicide: An analysis in human postmortem brain. Clin. Med. Insights Pathol. 2013, 6, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Macchi, C.; Favero, C.; Ceresa, A.; Vigna, L.; Conti, D.M.; Pesatori, A.C.; Racagni, G.; Corsini, A.; Ferri, N.; Sirtori, C.R.; et al. Depression and cardiovascular risk-association among Beck Depression Inventory, PCSK9 levels and insulin resistance. Cardiovasc. Diabetol. 2020, 19, 187. [Google Scholar] [CrossRef] [PubMed]
- Carney, R.M.; Freedland, K.E.; Miller, G.E.; Jaffe, A.S. Depression as a risk factor for cardiac mortality and morbidity: A review of potential mechanisms. J. Psychosom. Res. 2002, 53, 897–902. [Google Scholar] [CrossRef]
- Raič, M. Depression and heart diseases: Leading health problems. Psychiatr. Danub. 2017, 29 (Suppl. 4), 770–777. [Google Scholar] [PubMed]
- Fazel, S.; Runeson, B. Suicide. N. Engl. J. Med. 2020, 382, 266–274. [Google Scholar] [CrossRef]
Cohort | Delivery with PPD | Delivery without PPD | Without Delivery | |||||
---|---|---|---|---|---|---|---|---|
Variables | n | % | n | % | p | n | % | p |
Total | 2882 | 33.33 | 5764 | 66.67 | 5764 | 66.67 | ||
Suicide | <0.001 | <0.001 | ||||||
Without | 2592 | 89.94 | 5751 | 99.77 | 5754 | 99.83 | ||
With | 290 | 10.06 | 13 | 0.23 | 10 | 0.17 | ||
Age (mean ± SD, years) | 31.25 ± 9.76 | 33.02 ± 7.28 | <0.001 | 33.07 ± 7.39 | <0.001 | |||
Age groups (years) | <0.001 | <0.001 | ||||||
≤20 | 131 | 4.55 | 296 | 5.14 | 293 | 5.08 | ||
21–30 | 1622 | 56.28 | 3202 | 55.55 | 3223 | 55.92 | ||
31–34 | 458 | 15.89 | 1141 | 19.80 | 1198 | 20.78 | ||
35–37 | 244 | 8.47 | 514 | 8.92 | 373 | 6.47 | ||
38–40 | 197 | 6.84 | 257 | 4.46 | 281 | 4.88 | ||
41–43 | 126 | 4.37 | 102 | 1.77 | 98 | 1.70 | ||
≥44 | 104 | 3.61 | 252 | 4.37 | 298 | 5.17 | ||
Insured premium (NT$) | 0.991 | 0.979 | ||||||
<18,000 | 2527 | 87.68 | 5052 | 87.65 | 5060 | 87.79 | ||
18,000–34,999 | 247 | 8.57 | 498 | 8.64 | 493 | 8.55 | ||
≥35,000 | 108 | 3.75 | 214 | 3.71 | 211 | 3.66 | ||
HTN | <0.001 | <0.001 | ||||||
Without | 2678 | 92.92 | 5669 | 98.35 | 5653 | 98.07 | ||
With | 204 | 7.08 | 95 | 1.65 | 111 | 1.93 | ||
DM | <0.001 | <0.001 | ||||||
Without | 2714 | 94.17 | 5641 | 97.87 | 5657 | 98.14 | ||
With | 168 | 5.83 | 123 | 2.13 | 107 | 1.86 | ||
Hyperlipidemia | <0.001 | <0.001 | ||||||
Without | 2804 | 97.29 | 5729 | 99.39 | 5723 | 99.29 | ||
With | 78 | 2.71 | 35 | 0.61 | 41 | 0.71 | ||
COPD | 0.001 | 0.151 | ||||||
Without | 2827 | 98.09 | 5707 | 99.01 | 5678 | 98.51 | ||
With | 55 | 1.91 | 57 | 0.99 | 86 | 1.49 | ||
CKD | <0.001 | 0.002 | ||||||
Without | 2866 | 99.44 | 5757 | 99.88 | 5755 | 99.84 | ||
With | 16 | 0.56 | 7 | 0.12 | 9 | 0.16 | ||
IHD | 0.073 | 0.392 | ||||||
Without | 2813 | 97.61 | 5660 | 98.20 | 5643 | 97.90 | ||
With | 69 | 2.39 | 104 | 1.80 | 121 | 2.10 | ||
CHD | 0.804 | 0.054 | ||||||
Without | 2877 | 99.83 | 5752 | 99.79 | 5739 | 99.57 | ||
With | 5 | 0.17 | 12 | 0.21 | 25 | 0.43 | ||
Stroke | <0.001 | <0.001 | ||||||
Without | 2820 | 97.85 | 5733 | 99.46 | 5725 | 99.32 | ||
With | 62 | 2.15 | 31 | 0.54 | 39 | 0.68 | ||
Cancer | 0.517 | 0.317 | ||||||
Without | 2803 | 97.26 | 5620 | 97.50 | 5583 | 96.86 | ||
With | 79 | 2.74 | 144 | 2.50 | 181 | 3.14 | ||
Anxiety | <0.001 | <0.001 | ||||||
Without | 2549 | 88.45 | 5746 | 99.69 | 5725 | 99.32 | ||
With | 333 | 11.55 | 18 | 0.31 | 39 | 0.68 | ||
Depression | <0.001 | <0.001 | ||||||
Without | 1664 | 57.74 | 5737 | 99.53 | 5718 | 99.20 | ||
With | 1218 | 42.26 | 27 | 0.47 | 46 | 0.80 | ||
Obesity | 0.088 | 0.088 | ||||||
Without | 2872 | 99.65 | 5755 | 99.84 | 5755 | 99.84 | ||
With | 10 | 0.35 | 9 | 0.16 | 9 | 0.16 | ||
Season | <0.001 | 0.005 | ||||||
Spring | 705 | 24.46 | 1319 | 22.88 | 1302 | 22.59 | ||
Summer | 742 | 25.75 | 1408 | 24.43 | 1493 | 25.90 | ||
Autumn | 820 | 28.45 | 1511 | 26.21 | 1555 | 26.98 | ||
Winter | 615 | 21.34 | 1526 | 26.47 | 1414 | 24.53 | ||
Location | <0.001 | <0.001 | ||||||
Northern Taiwan | 1081 | 37.51 | 2624 | 45.52 | 2658 | 46.11 | ||
Middle Taiwan | 767 | 26.61 | 1662 | 28.83 | 1771 | 30.73 | ||
Southern Taiwan | 806 | 27.97 | 1182 | 20.51 | 1012 | 17.56 | ||
Eastern Taiwan | 213 | 7.39 | 283 | 4.91 | 294 | 5.10 | ||
Outlets islands | 15 | 0.52 | 13 | 0.23 | 29 | 0.50 | ||
Urbanization level | <0.001 | <0.001 | ||||||
1 (The highest) | 914 | 31.71 | 2180 | 37.82 | 2141 | 37.14 | ||
2 | 1300 | 45.11 | 2522 | 43.75 | 2502 | 43.41 | ||
3 | 247 | 8.57 | 467 | 8.10 | 537 | 9.32 | ||
4 (The lowest) | 421 | 14.61 | 595 | 10.32 | 584 | 10.13 | ||
Level of care | <0.001 | <0.001 | ||||||
Hospital center | 951 | 33.00 | 2127 | 36.90 | 2158 | 37.44 | ||
Regional hospital | 1362 | 47.26 | 2266 | 39.31 | 2435 | 42.24 | ||
Local hospital | 569 | 19.74 | 1371 | 23.79 | 1171 | 20.32 |
Delivery with PPD vs. Delivery without PPD (Reference) | Delivery with PPD vs. without Delivery (Reference) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Variables | Crude HR | 95% CI | 95% CI | p | Adjusted HR | 95% CI | 95% CI | p | Crude HR | 95% CI | 95% CI | p | Adjusted HR | 95% CI | 95% CI | p |
Cohort | ||||||||||||||||
Study cohort | 22.958 | 8.394 | 62.785 | <0.001 | 18.743 | 6.667 | 52.689 | <0.001 | 26.697 | 8.421 | 84.638 | <0.001 | 19.300 | 5.977 | 62.255 | <0.001 |
Comparison cohort 1/2 | Reference | Reference | Reference | Reference | ||||||||||||
Age groups (yrs) | ||||||||||||||||
≤20 | Reference | Reference | Reference | Reference | ||||||||||||
21–30 | 0.446 | 0.177 | 1.124 | 0.091 | 0.606 | 0.237 | 1.549 | 0.304 | 0.430 | 0.171 | 1.086 | 0.078 | 0.595 | 0.233 | 1.524 | 0.288 |
31–34 | 0.214 | 0.078 | 0.588 | 0.003 | 0.384 | 0.136 | 1.078 | 0.072 | 0.323 | 0.119 | 0.873 | 0.028 | 0.441 | 0.159 | 1.222 | 0.119 |
35–37 | 0.191 | 0.062 | 0.588 | 0.004 | 0.449 | 0.141 | 1.430 | 0.181 | 0.314 | 0.105 | 0.941 | 0.040 | 0.555 | 0.159 | 1.717 | 0.313 |
38–40 | 0.160 | 0.046 | 0.558 | 0.004 | 0.211 | 0.059 | 0.751 | 0.017 | 0.091 | 0.022 | 0.380 | 0.001 | 0.124 | 0.029 | 0.534 | 0.005 |
41–43 | 0.188 | 0.050 | 0.700 | 0.013 | 0.222 | 0.057 | 0.860 | 0.031 | 0.191 | 0.051 | 0.717 | 0.015 | 0.217 | 0.056 | 0.851 | 0.030 |
≥44 | 0.180 | 0.066 | 0.492 | 0.001 | 0.183 | 0.065 | 0.516 | <0.001 | 0.175 | 0.064 | 0.477 | 0.001 | 0.178 | 0.063 | 0.500 | <0.001 |
Insured premium (NT$) | ||||||||||||||||
<18,000 | Reference | Reference | Reference | Reference | ||||||||||||
18,000–34,999 | 0.743 | 0.104 | 5.333 | 0.768 | 0.578 | 0.074 | 4.505 | 0.602 | 0.579 | 0.081 | 4.160 | 0.589 | 0.573 | 0.074 | 4.457 | 0.596 |
≥35,000 | 1.921 | 0.267 | 13.778 | 0.501 | 4.948 | 0.635 | 38.589 | 0.122 | 2.901 | 0.405 | 20.815 | 0.280 | 5.341 | 0.671 | 42.479 | 0.110 |
HTN | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.174 | 0.025 | 1.248 | 0.083 | 0.372 | 0.049 | 2.836 | 0.342 | 0.163 | 0.023 | 1.166 | 0.072 | 0.376 | 0.049 | 2.871 | 0.347 |
DM | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.203 | 0.029 | 1.459 | 0.114 | 0.373 | 0.498 | 2.853 | 0.344 | 0.193 | 0.027 | 1.387 | 0.104 | 0.398 | 0.051 | 3.088 | 0.380 |
Hyperlipidemia | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.000 | - | - | 0.306 | 0.000 | - | - | 0.946 | 0.000 | - | - | 0.270 | 0.000 | - | - | 0.955 |
COPD | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.498 | 0.069 | 3.571 | 0.490 | 0.578 | 0.072 | 4.630 | 0.606 | 0.405 | 0.056 | 2.902 | 0.370 | 0.568 | 0.071 | 4.526 | 0.594 |
CKD | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.000 | - | - | 0.641 | 0.000 | - | - | 0.971 | 0.000 | - | - | 0.581 | 0.000 | - | - | 0.974 |
IHD | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.663 | 0.093 | 4.758 | 0.683 | 1.164 | 0.156 | 8.688 | 0.861 | 0.497 | 0.069 | 3.571 | 0.490 | 1.146 | 0.153 | 8.564 | 0.873 |
CHD | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.000 | - | - | 0.649 | 0.000 | - | - | 0.968 | 0.000 | - | - | 0.572 | 0.000 | - | - | 0.973 |
Stroke | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 1.617 | 0.399 | 6.562 | 0.484 | 2.314 | 0.537 | 9.969 | 0.250 | 1.055 | 0.261 | 4.281 | 0.913 | 2.210 | 0.511 | 9.546 | 0.276 |
Cancer | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.257 | 0.036 | 1.843 | 0.179 | 0.591 | 0.081 | 4.342 | 0.606 | 0.235 | 0.033 | 1.683 | 0.151 | 0.636 | 0.087 | 4.681 | 0.657 |
Anxiety | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 3.185 | 1.829 | 5.547 | <0.001 | 1.353 | 1.040 | 2.473 | 0.034 | 2.727 | 1.569 | 4.738 | <0.001 | 1.337 | 1.004 | 2.443 | 0.047 |
Depression | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 5.131 | 3.405 | 7.733 | <0.001 | 2.689 | 1.689 | 4.281 | <0.001 | 4.849 | 3.225 | 7.292 | <0.001 | 2.876 | 1.805 | 4.584 | <0.001 |
Obesity | ||||||||||||||||
Without | Reference | Reference | Reference | Reference | ||||||||||||
With | 0.000 | - | - | 0.742 | 0.000 | - | - | 0.975 | 0.000 | - | - | 0.595 | 0.000 | - | - | 0.973 |
Season | ||||||||||||||||
Spring | Reference | Reference | Reference | Reference | ||||||||||||
Summer | 0.751 | 0.410 | 1.377 | 0.372 | 0.729 | 0.392 | 1.356 | 0.335 | 0.871 | 0.464 | 1.631 | 0.685 | 0.864 | 0.455 | 1.640 | 0.872 |
Autumn | 0.844 | 0.478 | 1.490 | 0.582 | 0.829 | 0.461 | 1.488 | 0.551 | 0.997 | 0.556 | 1.785 | 0.961 | 1.060 | 0.581 | 1.931 | 0.805 |
Winter | 1.522 | 0.887 | 2.612 | 0.114 | 1.647 | 0.954 | 2.843 | 0.065 | 1.815 | 1.031 | 3.194 | 0.035 | 1.916 | 1.082 | 3.391 | 0.023 |
Location | Had collinearity with urbanization level | Had collinearity with urbanization level | ||||||||||||||
Northern Taiwan | Reference | Had collinearity with urbanization level | Reference | Had collinearity with urbanization level | ||||||||||||
Middle Taiwan | 1.391 | 0.861 | 2.245 | 0.159 | Had collinearity with urbanization level | 1.321 | 0.815 | 2.143 | 0.233 | Had collinearity with urbanization level | ||||||
Southern Taiwan | 1.025 | 0.603 | 1.740 | 0.878 | Had collinearity with urbanization level | 1.088 | 0.645 | 1.836 | 0.706 | Had collinearity with urbanization level | ||||||
Eastern Taiwan | 2.025 | 1.025 | 3.998 | 0.038 | Had collinearity with urbanization level | 1.632 | 0.806 | 3.304 | 0.160 | Had collinearity with urbanization level | ||||||
Outlets islands | 0.000 | - | - | 0.947 | Had collinearity with urbanization level | 0.000 | - | - | 0.944 | Had collinearity with urbanization level | ||||||
Urbanization level | ||||||||||||||||
1 (The highest) | 0.494 | 0.266 | 0.922 | 0.030 | 0.569 | 0.276 | 1.132 | 0.114 | 0.471 | 0.252 | 0.882 | 0.021 | 0.543 | 0.270 | 1.087 | 0.090 |
2 | 0.949 | 0.551 | 1.632 | 0.874 | 0.863 | 0.476 | 1.565 | 0.649 | 0.926 | 0.539 | 1.592 | 0.806 | 0.901 | 0.497 | 1.634 | 0.755 |
3 | 0.361 | 0.121 | 1.075 | 0.070 | 0.388 | 0.129 | 1.159 | 0.093 | 0.261 | 0.076 | 0.888 | 0.033 | 0.295 | 0.086 | 1.014 | 0.054 |
4 (The lowest) | Reference | Reference | Reference | Reference | ||||||||||||
Level of care | ||||||||||||||||
Hospital center | 1.582 | 0.866 | 2.891 | 0.123 | 1.663 | 0.860 | 3.218 | 0.119 | 1.377 | 0.764 | 2.481 | 0.265 | 1.569 | 0.822 | 2.996 | 0.157 |
Regional hospital | 1.840 | 1.033 | 3.278 | 0.034 | 1.494 | 0.817 | 2.735 | 0.176 | 1.412 | 0.801 | 2.487 | 0.212 | 1.326 | 0.731 | 2.404 | 0.327 |
Local hospital | Reference | Reference | Reference | Reference |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lee, Y.-L.; Tien, Y.; Bai, Y.-S.; Lin, C.-K.; Yin, C.-S.; Chung, C.-H.; Sun, C.-A.; Huang, S.-H.; Huang, Y.-C.; Chien, W.-C.; et al. Association of Postpartum Depression with Maternal Suicide: A Nationwide Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 5118. https://doi.org/10.3390/ijerph19095118
Lee Y-L, Tien Y, Bai Y-S, Lin C-K, Yin C-S, Chung C-H, Sun C-A, Huang S-H, Huang Y-C, Chien W-C, et al. Association of Postpartum Depression with Maternal Suicide: A Nationwide Population-Based Study. International Journal of Environmental Research and Public Health. 2022; 19(9):5118. https://doi.org/10.3390/ijerph19095118
Chicago/Turabian StyleLee, Yi-Liang, Yun Tien, Yin-Shiuan Bai, Chi-Kang Lin, Chang-Sheng Yin, Chi-Hsiang Chung, Chien-An Sun, Shi-Hao Huang, Yao-Ching Huang, Wu-Chien Chien, and et al. 2022. "Association of Postpartum Depression with Maternal Suicide: A Nationwide Population-Based Study" International Journal of Environmental Research and Public Health 19, no. 9: 5118. https://doi.org/10.3390/ijerph19095118
APA StyleLee, Y.-L., Tien, Y., Bai, Y.-S., Lin, C.-K., Yin, C.-S., Chung, C.-H., Sun, C.-A., Huang, S.-H., Huang, Y.-C., Chien, W.-C., Kang, C.-Y., & Wu, G.-J. (2022). Association of Postpartum Depression with Maternal Suicide: A Nationwide Population-Based Study. International Journal of Environmental Research and Public Health, 19(9), 5118. https://doi.org/10.3390/ijerph19095118