Steiner, M, Dunn, E, Born, L. Hormones and mood: from menarche to menopause and beyond. J Affect Disord
2003; 74: 67–83.
Piccinelli, M, Wilkinson, G. Gender differences in depression Critical review. Br J Psychiatry
2000; 177: 486–92.
Patton, GC, Hibbert, ME, Carlin, J, Shao, Q, Rosier, M, Caust, J, et al Menarche and the onset of depression and anxiety in Victoria, Australia. J Epidemiol Commun Health
1996; 50: 661–6.
Skapinakis, P, Weich, S, Lewis, G, Singleton, N, Araya, R. Socio-economic position and common mental disorders Longitudinal study in the general population in the UK. Br J Psychiatry
2006; 189: 109–17.
Angold, A, Costello, EJ, Worthman, CM. Puberty and depression: the roles of age, pubertal status and pubertal timing. Psychol Med
1998; 28: 51–61.
Holder, MK, Blaustein, JD. Puberty and adolescence as a time of vulnerability to stressors that alter neurobehavioral processes. Front Neuroendocrinol
2014; 35: 89–110.
Joinson, C, Heron, J, Araya, R, Paus, T, Croudace, T, Rubin, C, et al Association between pubertal development and depressive symptoms in girls from a UK cohort. Psychol Med
2012; 42: 2579–89.
Joinson, C, Heron, J, Lewis, G, Croudace, T, Araya, R. Timing of menarche and depressive symptoms in adolescent girls from a UK cohort. Br J Psychiatry
2011; 198: 17–23.
Opoliner, A, Carwile, JL, Blacker, D, Fitzmaurice, GM, Austin, SB. Early and late menarche and risk of depressive symptoms in young adulthood. Arch Womens Ment Health
2014; 17: 511–8.
Kaltiala-Heino, R, Marttunen, M, Rantanen, P, Rimpelä, M. Early puberty is associated with mental health problems in middle adolescence. Soc Sci Med
Joinson, C, Heron, J, Araya, R, Lewis, G. Early menarche and depressive symptoms from adolescence to young adulthood in a UK cohort. J Am Acad Child Adolesc Psychiatry
2013; 52: 591–8.
Herva, A, Jokelainen, J, Pouta, A, Veijola, J, Timonen, M, Karvonen, JT, et al Age at menarche and depression at the age of 31 years – findings from the Northern Finland 1966 Birth Cohort Study. J Psychosom Res
2004; 57: 359–62.
Copeland, W, Shanahan, L, Miller, S, Costello, EJ, Angold, A, Maughan, B. Outcomes of early pubertal timing in young women: a prospective population-based study. Am J Psychiatry
2010; 167: 1218–25.
Boden, JM, Fergusson, DM, Horwood, LJ. Age of menarche and psychosocial outcomes in a New Zealand birth cohort. J Am Acad Child Adolesc Psychiatry
2011; 50: 132–40.
Alcalá-Herrera, V, Marván, ML. Early menarche, depressive symptoms, and coping strategies. J Adolesc
2014; 37: 905–13.
Lawlor, DA, Harbord, RM, Sterne, JA, Timpson, N, Davey Smith, G. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med
2008; 27: 1133–63.
Davey Smith, G, Ebrahim, S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?
Int J Epidemiol
2003; 32: 1–22.
Davey Smith, G. Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health. Genes Nutr
2011; 6: 27–43.
Zuccolo, L, Lewis, SJ, Davey Smith, G, Sayal, K, Draper, ES, Fraser, R, et al Prenatal alcohol exposure and offspring cognition and school performance. A ‘Mendelian randomization’ natural experiment. Int J Epidemiol
2013; 42: 1358–70.
Golding, J, Pembrey, M, Jones, R, Team, AS. ALSPAC – the Avon Longitudinal Study of Parents and Children. I. Study methodology. Paediatr Perinat Epidemiol
2001; 15: 74–87.
Fraser, A, Macdonald-Wallis, C, Tilling, K, Boyd, A, Golding, J, Davey Smith, G, et al Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. Int J Epidemiol
2013; 42: 97–110.
Boyd, A, Golding, J, Macleod, J, Lawlor, DA, Fraser, A, Henderson, J, et al Cohort profile: the ‘children of the 90s’ – the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol
2013; 42: 111–27.
Turner, N, Joinson, C, Peters, TJ, Wiles, N, Lewis, G. Validity of the short mood and feelings questionnaire in late adolescence. Psychol Assess
2014; 26: 752–62.
Sharp, C, Goodyer, IM, Croudace, TJ. The Short Mood and Feelings Questionnaire (SMFQ): a unidimensional item response theory and categorical data factor analysis of self-report ratings from a community sample of 7-through 11-year-old children. J Abnorm Child Psychol
2006; 34: 365–77.
Culpin, I, Heron, J, Araya, R, Melotti, R, Joinson, C. Father absence and depressive symptoms in adolescence: findings from a UK cohort. Psychol Med
2013; 43: 2615–26.
McKenzie, DP, Toumbourou, JW, Forbes, AB, Mackinnon, AJ, McMorris, BJ, Catalano, RF, et al Predicting future depression in adolescents using the Short Mood and Feelings Questionnaire: a two-nation study. J Affect Disord
2011; 134: 151–9.
Patton, GC, Olsson, C, Bond, L, Toumbourou, JW, Carlin, JB, Hemphill, SA, et al Predicting female depression across puberty: a two-nation longitudinal study. J Am Acad Child Adolesc Psychiatry
2008; 47: 1424–32.
Lewis, G, Pelosi, AJ, Araya, R, Dunn, G. Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers. Psychol Med
1992; 22: 465–86.
Patton, G, Coffey, C, Posterino, M, Carlin, J, Wolfe, R, Bowes, G. A computerised screening instrument for adolescent depression: population-based validation and application to a two-phase case-control study. Soc Psychiatry Psychiatr Epidemiol
1999; 34: 166–72.
Li, Y, Willer, CJ, Ding, J, Scheet, P, Abecasis, GR. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol
2010; 34: 816–34.
Culpin, I, Heron, J, Araya, R, Melotti, R, Lewis, G, Joinson, C. Father absence and timing of menarche in adolescent girls from a UK cohort: the mediating role of maternal depression and major financial problems. J Adolesc
2014; 37: 291–301.
Pierce, MB, Leon, DA. Age at menarche and adult BMI in the Aberdeen children of the 1950s cohort study. Am J Clin Nutr
2005; 82: 733–9.
Rosenfield, RL, Lipton, RB, Drum, ML. Thelarche, pubarche, and menarche attainment in children with normal and elevated body mass index. Pediatrics
2009; 123: 84–8.
Mumby, HS, Elks, CE, Li, S, Sharp, SJ, Khaw, K-T, Luben, RN, et al Mendelian randomisation study of childhood BMI and early menarche. J Obes
2011; 2011: ID180729.
Belsky, J, Steinberg, LD, Houts, RM, Friedman, SL, DeHart, G, Cauffman, E, et al Family rearing antecedents of pubertal timing. Child Dev
2007; 78: 1302–21.
Ellis, BJ, Garber, J. Psychosocial antecedents of variation in girls' pubertal timing: maternal depression, stepfather presence, and marital and family stress. Child Dev
2000; 71: 485–501.
Cox, JL, Holden, JM, Sagovsky, R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry
1987; 150: 782–6.
Evans, J, Heron, J, Francomb, H, Oke, S, Golding, J. Cohort study of depressed mood during pregnancy and after childbirth. BMJ
2001; 323: 257–60.
Perry, JR, Day, F, Elks, CE, Sulem, P, Thompson, DJ, Ferreira, T, et al Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche. Nature
2014; 514: 92–7.
Price, AL, Patterson, NJ, Plenge, RM, Weinblatt, ME, Shadick, NA, Reich, D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet
2006; 38: 904–9.
Clarke, PS, Windmeijer, F. Identification of causal effects on binary outcomes using structural mean models. Biostatistics
2010; 11: 756–70.
Wray, NR, Yang, J, Hayes, BJ, Price, AL, Goddard, ME, Visscher, PM. Pitfalls of predicting complex traits from SNPs. Nat Rev Genet
2013; 14: 507–15.
Kaprio, J, Rimpelä, A, Winter, T, Viken, RJ, Rimpelä, M, Rose, RJ. Common genetic influences on BMI and age at menarche. Hum Biol
1995; 67: 739–53.
Cousminer, DL, Berry, DJ, Timpson, NJ, Ang, W, Thiering, E, Byrne, E, et al Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing, and childhood adiposity. Hum Mol Gen
2013; 22: 2735–47.
Greenland, S. Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology
2003; 14: 300–6.
Elwert, F, Winship, C. Endogenous selection bias: the problem of conditioning on a collider variable. Annu Rev Sociol
2014; 40: 31–53.
Locke, AE, Kahali, B, Berndt, SI, Justice, AE, Pers, TH, Day, FR, et al Genetic studies of body mass index yield new insights for obesity biology. Nature
2015; 518: 197–206.
Namjou, B, Keddache, M, Marsolo, K, Wagner, M, Lingren, T, Cobb, B, et al EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children. Front Genet
2013; 4: 268.
Bowden, J, Davey Smith, G, Burgess, S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol
2015; 44: 512–25.
Weiss, EL, Longhurst, JG, Mazure, CM. Childhood sexual abuse as a risk factor for depression in women: psychosocial and neurobiological correlates. Am J Psychiatry
1999; 156: 816–28.
Caspi, A, Moffitt, TE. Individual differences are accentuated during periods of social change: the sample case of girls at puberty. J Pers Soc Psychol
1991; 61: 157.
Natsuaki, MN, Biehl, MC, Ge, X. Trajectories of depressed mood from early adolescence to young adulthood: The effects of pubertal timing and adolescent dating. J Res Adolesc
2009; 19: 47–74.
Harlow, BL, Cohen, LS, Otto, MW, Spiegelman, D, Cramer, DW. Prevalence and predictors of depressive symptoms in older premenopausal women: the Harvard Study of Moods and Cycles. Arch Gen Psychiatry
1999; 56: 418–24.