National Institute of Mental Health. Suicide Statistics, https://www.nimh.nih.gov/health/statistics/suicide.shtml (2019).
Schwartz-Lifshitz, M., Zalsman, G., Giner, L. & Oquendo, M. A. Can we really prevent suicide?. Curr. Psychiatry Rep. 14, 624–633. https://doi.org/10.1007/s11920-012-0318-3 (2012).
Klonsky, E. D., May, A. M. & Saffer, B. Y. Suicide, suicide attempts, and suicidal ideation. Annu. Rev. Clin. Psychol. 12, 307–330. https://doi.org/10.1146/annurev-clinpsy-021815-093204 (2016).
O’Connor, R. C. & Portzky, G. Looking to the future: a synthesis of new developments and challenges in suicide research and prevention. Front. Psychol. 9, 2139. https://doi.org/10.3389/fpsyg.2018.02139 (2018).
Riordan, D. V., Selvaraj, S., Stark, C. & Gilbert, J. S. Perinatal circumstances and risk of offspring suicide Birth cohort study. Br. J. Psychiatry 189, 502–507. https://doi.org/10.1192/bjp.bp.105.015974 (2006).
Mittendorfer-Rutz, E., Rasmussen, F. & Wasserman, D. Restricted fetal growth and adverse maternal psychosocial and socioeconomic conditions as risk factors for suicidal behaviour of offspring: a cohort study. The Lancet 364, 1135–1140. https://doi.org/10.1016/s0140-6736(04)17099-2 (2004).
Nomura, Y. et al. Low birth weight and risk of affective disorders and selected medical illness in offspring at high and low risk for depression. Compr. Psychiatry 48, 470–478. https://doi.org/10.1016/j.comppsych.2007.04.005 (2007).
Orri, M. et al. In-utero and perinatal influences on suicide risk: a systematic review and meta-analysis. Lancet Psychiatry 6, 477–492. https://doi.org/10.1016/s2215-0366(19)30077-x (2019).
World Health Organization. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (World Health Organization, Geneva, 1992).
Loret de Mola, C., de Franca, G. V., Quevedo Lde, A. & Horta, B. L. Low birth weight, preterm birth and small for gestational age association with adult depression: systematic review and meta-analysis. Br. J. Psychiatry 205, 340–347. https://doi.org/10.1192/bjp.bp.113.139014 (2014).
Maina, G. et al. Impact of maternal psychological distress on fetal weight, prematurity and intrauterine growth retardation. J. Affect. Disord. 111, 214–220. https://doi.org/10.1016/j.jad.2008.02.017 (2008).
Van den Bergh, B. R. H. et al. Prenatal developmental origins of behavior and mental health: The influence of maternal stress in pregnancy. Neurosci. Biobehav. Rev. https://doi.org/10.1016/j.neubiorev.2017.07.003 (2017).
Mendonca, M., Bilgin, A. & Wolke, D. Association of preterm birth and low birth weight with romantic partnership, sexual intercourse, and parenthood in adulthood: a systematic review and meta-analysis. JAMA Netw. Open 2, e196961. https://doi.org/10.1001/jamanetworkopen.2019.6961 (2019).
Bilgin, A., Mendonca, M. & Wolke, D. Preterm birth/low birth weight and markers reflective of wealth in adulthood: a meta-analysis. Pediatrics https://doi.org/10.1542/peds.2017-3625 (2018).
Balci, M. M., Acikel, S. & Akdemir, R. Low birth weight and increased cardiovascular risk: fetal programming. Int. J. Cardiol. 144, 110–111. https://doi.org/10.1016/j.ijcard.2008.12.111 (2010).
Arabin, B. & Baschat, A. A. Pregnancy: an underutilized window of opportunity to improve long-term maternal and infant health-an appeal for continuous family care and interdisciplinary communication. Front. Pediatr. 5, 69. https://doi.org/10.3389/fped.2017.00069 (2017).
Van Lieshout, R. J. et al. Impact of extremely low-birth-weight status on risk and resilience for depression and anxiety in adulthood. J. Child Psychol. Psychiatry 59, 596–603. https://doi.org/10.1111/jcpp.12826 (2018).
Helle, N. et al. Internalizing symptoms in very low birth weight preschoolers: symptom level and risk factors from four rating perspectives in a controlled multicenter study. J. Affect. Disord. 246, 74–81. https://doi.org/10.1016/j.jad.2018.12.025 (2019).
Burnett, A. et al. Extremely preterm birth and adolescent mental health in a geographical cohort born in the 1990s. Psychol. Med. 44, 1533–1544. https://doi.org/10.1017/S0033291713002158 (2014).
Laerum, A. M. et al. Psychiatric disorders and general functioning in low birth weight adults: a longitudinal study. Pediatrics https://doi.org/10.1542/peds.2016-2135 (2017).
Levine, S. Z. Low birth-weight and risk for major depression: a community-based longitudinal study. Psychiatry Res. 215, 618–623. https://doi.org/10.1016/j.psychres.2014.01.008 (2014).
Wiles, N. J., Peters, T. J., Leon, D. A. & Lewis, G. Birth weight and psychological distress at age 45–51 years: results from the Aberdeen Children of the 1950s cohort study. Br. J. Psychiatry 187, 21–28. https://doi.org/10.1192/bjp.187.1.21 (2005).
Duffy, K. A., McLaughlin, K. A. & Green, P. A. Early life adversity and health-risk behaviors: proposed psychological and neural mechanisms. Ann. N. Y. Acad. Sci. https://doi.org/10.1111/nyas.13928 (2018).
Thompson, C., Syddall, H., Rodin, I., Osmond, C. & Barker, D. J. P. Birth weight and the risk of depressive disorder in late life. Br. J. Psychiatry 179, 450–455. https://doi.org/10.1192/bjp.179.5.450 (2018).
Gale, C. R. & Martyn, C. N. Birth weight and later risk of depression in a national birth cohort. Br. J. Psychiatry 184, 28–33. https://doi.org/10.1192/bjp.184.1.28 (2018).
Wild, P. S. et al. The Gutenberg Health Study. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 55, 824–829. https://doi.org/10.1007/s00103-012-1502-7 (2012).
Hohn, R. et al. The ophthalmic branch of the Gutenberg Health Study: study design, cohort profile and self-reported diseases. PLoS ONE 10, e0120476. https://doi.org/10.1371/journal.pone.0120476 (2015).
Lampert, T., Kroll, L., Müters, S. & Stolzenberg, H. Measurement of the socioeconomic status within the German Health Update 2009 (GEDA). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 56, 131–143. https://doi.org/10.1007/s00103-012-1583-3 (2009).
Fiess, A. et al. Association of low birth weight with myopic refractive error and lower visual acuity in adulthood: results from the population-based Gutenberg Health Study (GHS). Br. J. Ophthalmol. https://doi.org/10.1136/bjophthalmol-2017-311774 (2018).
Kocalevent, R. D., Hinz, A. & Brähler, E. Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. Gen. Hosp. Psychiatry 35, 551–555. https://doi.org/10.1016/j.genhosppsych.2013.04.006 (2013).
Spangenberg, L., Brähler, E. & Glaesmer, H. Identifying depression in the general population—a comparison of PHQ-9, PHQ-8 and PHQ-2. Z. Psycho. Med. Psychother. 58, 3–10. https://doi.org/10.13109/zptm.2012.58.1.3 (2012).
Hinz, A. et al. Psychometric evaluation of the Generalized Anxiety Disorder Screener GAD-7, based on a large German general population sample. J. Affect. Disord. 210, 338–344. https://doi.org/10.1016/j.jad.2016.12.012 (2017).
Plummer, F., Manea, L., Trepel, D. & McMillan, D. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. Gen. Hosp. Psychiatry 39, 24–31. https://doi.org/10.1016/j.genhosppsych.2015.11.005 (2016).
Kroenke, K., Spitzer, R. L., Williams, J. B., Monahan, P. O. & Löwe, B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann. Intern. Med. 146, 317–325. https://doi.org/10.7326/0003-4819-146-5-200703060-00004 (2007).
Wiltink, J. et al. Mini – social phobia inventory (mini-SPIN): psychometric properties and population based norms of the German version. BMC Psychiatry 17, 377. https://doi.org/10.1186/s12888-017-1545-2 (2017).
Lowe, B. et al. Detecting panic disorder in medical and psychosomatic outpatients: comparative validation of the Hospital Anxiety and Depression Scale, the Patient Health Questionnaire, a screening question, and physicians’ diagnosis. J. Psychosom. Res. 55, 515–519 (2003).
Peters, T. et al. Validity of a short questionnaire to assess physical activity in 10 European countries. Eur. J. Epidemiol. 27, 15–25. https://doi.org/10.1007/s10654-011-9625-y (2012).
Goodman, A., Heshmati, A., Malki, N. & Koupil, I. Associations between birth characteristics and eating disorders across the life course: findings from 2 million males and females born in Sweden, 1975–1998. Am. J. Epidemiol. 179, 852–863. https://doi.org/10.1093/aje/kwt445 (2014).
Zimmermann, E., Gamborg, M., Sorensen, T. I. & Baker, J. L. Sex differences in the association between birth weight and adult type 2 diabetes. Diabetes 64, 4220–4225. https://doi.org/10.2337/db15-0494 (2015).
Cohen, J. A power primer. Psychol. Bull. 112, 155–159 (1992).
Hales, C. N. & Barker, D. J. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia 35, 595–601. https://doi.org/10.1007/bf00400248 (1992).
Carpenter, T., Grecian, S. & Reynolds, R. Sex differences in early life programming of the hypothalamic-pituitary-adrenal axis in humans suggest increased vulnerability in females. Psychoneuroendocrinology 61, 32. https://doi.org/10.1016/j.psyneuen.2015.07.476 (2015).
Mueller, B. R. & Bale, T. L. Sex-specific programming of offspring emotionality after stress early in pregnancy. J. Neurosci. 28, 9055–9065. https://doi.org/10.1523/JNEUROSCI.1424-08.2008 (2008).
Dearden, L., Bouret, S. G. & Ozanne, S. E. Sex and gender differences in developmental programming of metabolism. Mol. Metab. 15, 8–19. https://doi.org/10.1016/j.molmet.2018.04.007 (2018).
Zeitlin, J. et al. Variation in term birthweight across European countries affects the prevalence of small for gestational age among very preterm infants. Acta Paediatr. 106, 1447–1455. https://doi.org/10.1111/apa.13899 (2017).
Stevenson, D. K. Sex differences in outcomes of very low birthweight infants: the newborn male disadvantage. Arch. Dis. Child. 83, 182F – 185. https://doi.org/10.1136/fn.83.3.F182 (2000).
Helle, N., Barkmann, C., Ehrhardt, S. & Bindt, C. Postpartum posttraumatic and acute stress in mothers and fathers of infants with very low birth weight: Cross-sectional results from a controlled multicenter cohort study. J. Affect. Disord. 235, 467–473. https://doi.org/10.1016/j.jad.2018.04.013 (2018).
Neri, E., Agostini, F., Salvatori, P., Biasini, A. & Monti, F. Mother-preterm infant interactions at 3 months of corrected age: influence of maternal depression, anxiety and neonatal birth weight. Front. Psychol. 6, 1234. https://doi.org/10.3389/fpsyg.2015.01234 (2015).
Day, K. L. et al. Exposure to overprotective parenting and psychopathology in extremely low birth weight survivors. Child Care Health Dev. 44, 234–239. https://doi.org/10.1111/cch.12498 (2018).
Jaekel, J., Baumann, N., Bartmann, P. & Wolke, D. Mood and anxiety disorders in very preterm/very low-birth weight individuals from 6 to 26 years. J. Child Psychol. Psychiatry 59, 88–95. https://doi.org/10.1111/jcpp.12787 (2018).
Ratowiecki, J. et al. Prevalence of low birth weight in a scenario of economic depression in Argentina. Arch. Argent. Pediatr. 116, 322–327. https://doi.org/10.5546/aap.2018.eng.322 (2018).
Raisanen, S., Gissler, M., Saari, J., Kramer, M. & Heinonen, S. Contribution of risk factors to extremely, very and moderately preterm births—register-based analysis of 1,390,742 singleton births. PLoS ONE 8, e60660. https://doi.org/10.1371/journal.pone.0060660 (2013).
Husky, M. M., Mazure, C. M., Paliwal, P. & McKee, S. A. Gender differences in the comorbidity of smoking behavior and major depression. Drug Alcohol Depend 93, 176–179. https://doi.org/10.1016/j.drugalcdep.2007.07.015 (2008).
Eriksson, A. K. et al. Psychological distress and risk of pre-diabetes and Type 2 diabetes in a prospective study of Swedish middle-aged men and women. Diabetes Med. 25, 834–842. https://doi.org/10.1111/j.1464-5491.2008.02463.x (2008).
Westergaard, D., Moseley, P., Sorup, F. K. H., Baldi, P. & Brunak, S. Population-wide analysis of differences in disease progression patterns in men and women. Nat. Commun. 10, 666. https://doi.org/10.1038/s41467-019-08475-9 (2019).
Sun, C. et al. Associations of birth weight with ocular biometry, refraction, and glaucomatous endophenotypes: the Australian Twins Eye Study. Am. J. Ophthalmol. 150, 909–916. https://doi.org/10.1016/j.ajo.2010.06.028 (2010).
Nilsen, T. S., Kutschke, J., Brandt, I. & Harris, J. R. Validity of self-reported birth weight: results from a Norwegian twin sample. Twin. Res. Hum. Genet. 20, 406–413. https://doi.org/10.1017/thg.2017.44 (2017).
Millner, A. J., Lee, M. D. & Nock, M. K. Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification. PLoS ONE 10, e0141606. https://doi.org/10.1371/journal.pone.0141606 (2015).
Louzon, S. A., Bossarte, R., McCarthy, J. F. & Katz, I. R. Does suicidal ideation as measured by the PHQ-9 predict suicide among VA patients?. Psychiatr. Serv. 67, 517–522. https://doi.org/10.1176/appi.ps.201500149 (2016).
Khang, Y. H., Kim, H. R. & Cho, S. J. Relationships of suicide ideation with cause-specific mortality in a longitudinal study of South Koreans. Suicide Life Threat Behav. 40, 465–475. https://doi.org/10.1521/suli.2010.40.5.465 (2010).
Raue, P. J. et al. The wish to die and 5-year mortality in elderly primary care patients. Am. J. Geriatr. Psychiatry 18, 341–350. https://doi.org/10.1097/JGP.0b013e3181c37cfe (2010).
May, A. M. & Klonsky, E. D. What distinguishes suicide attempters from suicide ideators? A meta-analysis of potential factors. Clin. Psychol. Sci. Pract. 23, 5–20. https://doi.org/10.1111/cpsp.12136 (2016).
Klonsky, E. D., Saffer, B. Y. & Bryan, C. J. Ideation-to-action theories of suicide: a conceptual and empirical update. Curr. Opin. Psychol. 22, 38–43. https://doi.org/10.1016/j.copsyc.2017.07.020 (2018).
Ernst, M. et al. Suicide attempts in chronically depressed individuals: what are the risk factors?. Psychiatry Res. https://doi.org/10.1016/j.psychres.2019.112481 (2019).