Abstract
Purpose
To determine the role of type, timing, and cumulative childhood hardships on age at menarche in a prospective cohort study.
Methods
Longitudinal analysis of 4,524 female participants of the National Child Development Study cohort (1958 – 2003). Six types of childhood hardships were identified with a factor analysis methodology: financial, family dysfunction, caregiver low interest in education, lack of supportive caregiving, neglectful environment, and family structure disruption. Paternal absence/low involvement in childhood was an a priori hardship. Retrospective reports of abuse in childhood were explored in relation to age at menarche, also. Generalized logit regression analyses explored the impact of type, timing, and cumulative hardships on age at menarche (≤11, 12–13, ≥14 years).
Results
Cumulative childhood hardships were associated with a graded increase in risk for later menarche with adjusted OR [AOR] of 1.37 (95%CI: 1.10, 1.70), 1.50 (95%CI: 1.18, 1.91), and 1.58 (95%CI: 1.29, 1.92) among those with 2, 3, and ≥4 adversities, respectively. More than 2 hardships in early life had the strongest association with late menarche (AOR=2.32, 95%CI: 1.12, 4.80). Sexual abuse was most strongly associated with early menarche (AOR=2.60, 95%CI: 1.40, 4.81).
Conclusion
Cumulative childhood hardships increased risk for later age at menarche. Child abuse was associated with both early and late menarche, although associations varied by type of abuse. Critical period of exposure, type, and chronicity of hardships demonstrate varying degrees of influence on age at menarche.
Keywords: adversity, birth cohort, child abuse, hardship, life course, menarche, socioeconomic status
Introduction
Age at menarche denotes onset of the female reproductive lifespan and is a marker of health trajectory and chronic illness risk. While later age at menarche is associated with depression,1 fractures2 and low bone mineral density;3 earlier age at menarche is associated with cardiovascular and metabolic dysfunction,4,5 breast cancer risk,6 depression,7 all cause mortality,8 and health risk behaviors.9
The average age at menarche declined over the 20th and early 21st century.10–13 This trend has largely been credited to improvements in population health and nutrition.13 Populations characterized by greater gains in socioeconomics14,15 or social conditions experienced the greatest relative change in age at menarche.16 Malnutrition17 and food insecurity18 are associated with delayed menarche, while accelerated weight gain19 and elevated body composition of fat20 have been linked to earlier age at menarche.
In general, higher socioeconomic position,21 parental education,14,22 income, and occupational class22 have been associated with earlier menarche; while, poverty,17 adult illiteracy level,23 and impoverished or underprivileged regions24,25 have been associated with later menarche. However, these associations have varied over time14 and by place.26 While poverty has been consistently associated with delayed sexual maturation in developing countries,17,27 the majority of contemporary studies among US cohorts have found that lower socioeconomic status (SES) is associated with earlier menarche and pubertal development,26–28 a finding replicated in several international cohorts.29
Psychosocial stressors have been associated with both early and late onset menarche.16,30–32 Delayed onset of menarche has been associated with war and post-war periods in past and recent decades;33 however, the relative contribution of psychosocial stress versus material hardships induced by war on menarchal timing is unknown. Early age at menarche is associated with familial conflict,31 alterations in family structure,34 stressful home circumstances,35–37 paternal absence in childhood,38 and attachment relationships.30,39,40 Child maltreatment has been associated with precocious sexual maturation.41,42 Of the six studies that have explored the impact of child abuse on menarcheal age, sexual abuse has been more strongly and consistently associated with early menarche, while physical abuse has had a weakly positive association.40,42–47
Boyce and Ellis’s theory of stress reactivity, biological sensitivity to context,48 reconciles ‘stress suppression theory,’ which posits that excessive activation of the stress response system can suppress the hypothalamic-pituitary-gonadal (HPG) axis and inhibit pubertal development, and ‘psychosocial acceleration theory,’ which suggests that low or unpredictable resources or low parental investment accelerate reproductive maturation.16 Their theory of stress reactivity posits that there is a curvilinear, U-shaped association between adversities in early life and reactivity to stress. Social stressors and supports may accelerate or suppress the HPG axis by influencing the biological stress responses to early adversities.
The intent of this study is to investigate the independent and cumulative impact of multiple types of childhood adversities (including maltreatment, family conflict, and poverty) on timing of menarche in a prospective cohort of British girls born in 1958. We hypothesized that children exposed to higher cumulative adversities would have altered timing of menarche—earlier or later age at onset. Existing studies are limited by retrospective exposure assessment, and failure to account for multiple types of adversities. Uniquely, this cohort also offers an opportunity to investigate the association between psychosocial stressors and timing of menarche within a post-war period.
Methods
Sample
Study participants are enrolled in the National Child Development Study, a prospective cohort study of 17,638 British children born during 1 week in March 1958 in England, Scotland, and Wales (originally the Perinatal Mortality Survey birth cohort). Respondents were contacted at multiple time points in childhood (ages 7, 11, 16) and adulthood (ages 23, 33, and 42). In total, 91.5% of the target sample participated at age 11 and 87% at age 16.49 Our sample is restricted to female participants with a reported age at menarche or stated that menstruation had not yet started at the 16-year follow up (N=4,524).
Measures
Assessment of the Outcome
At the 16 year follow-up survey part of the medical examination included a report of pubertal development, including age at menarche. It was up to the examiner whether the parent stayed in the room for this exam, so the age was reported by either the participant or the parent. Data was captured via self-report as a categorical variable (<11, 11, 12, 13, 14, ≥15 years, unsure, has not commenced). We created a categorical variables for onset of menarche: early menarche ≤11 years of age, average age of menarche12–13 years, and late menarche ≥14 years of age.
Assessment of the Exposure
Childhood hardships were measured through a variety of modalities during the study. A Local Authority Health visitor interviewed the parents (usually the mothers) at ages 7, 11, and 16. The health visitor completed an assessment of the social environment, which included a list of questions about social services the family had required, as well as a question: “under which categories would you list the difficulties of this family”, which included a list of responses such as “alcoholism”, “mental illness or neurosis”, “housing”, and “financial”. The Educational Questionnaire was completed by the head teacher and class teacher at the child’s school, and provided information about the child’s eligibility for services, adjustment, and appearance of neglect. A Local Authority Medical Officer carried out the medical examination and consulted records.
We performed an exploratory factor analysis in order to categorize the types of hardships, as we have previously described.50 Using the maximum likelihood method followed by the oblique (promax) rotation all items with factor loadings > 0.45 were assigned to the factor for which they had the greatest loading. A six factor solution was chosen due to parsimony and consistency with theoretically pre-determined latent constructs of types of hardships. Our method yielded the following factors: (1) financial, (2) caregiver low interest in education, (3) family dysfunction, (4) lack of supportive caregiving, (5) neglectful environment, (6) family structure disruption (see Table 1 for details). For items measured more than once, participants were categorized as having experienced if it was reported at any time point. We summed the number of hardships in each factor in order to create scales for each factor. Within each factor, number of different types of hardships within that factor was considered to be a proxy for severity of that hardship type. A priori, an additional factor was created to assess lack of paternal involvement: single mother, father dead, spent time in foster care, father had limited role in upbringing, father not interested in educational progress. Paternal investment theory suggests that pubertal timing is sensitive to the quality of paternal investment, and this may independently influence maturation16. The association between lack of paternal involvement and age at menarche was assessed independently.
Table 1.
Description of Childhood Social Hardship Factors
Factor | Items | Reported by | Time period assessed |
---|---|---|---|
Financial hardship | Unemployment | Parent | Birth, age 7 and 11 |
Eligible for free school lunches | Parent, school | Age 11 | |
Sharing a bed | Parent | Age 11 Age 11 |
|
Contact with the criminal justice system | Parent | ||
Caregiver low interest in education | Lack of interest in child’s education | School | Age 7 and 11 |
Hope child would leave school at the minimum age | Parent | Age 11 | |
Indicators of family dysfunction | Family problems with tension | Health visitor | Age 7 |
Alcoholism, or other problems | Health visitor | Age 7 | |
Lack of supportive caregiving | Parents’ not reading to the child | Parent | Age 7 |
Father not taking an active role in the child’s upbringing. | Parent | Age 7 and 11 | |
Neglectful environment | Physical neglect | Teacher | Age 7 and 11 |
Maladjustment | Teacher | Age 7 and 11 | |
Mental subnormality in family | Health visitor | Age 7 | |
Experienced Bullying | Parent | Age 7 and 11 | |
Contact with social services | School, Parent | Age 7 and 11 | |
Family structure disruption | Foster care | Parent | Age 7 and 11 |
Divorced parents | Parent, child | Age 7, 11, adult report | |
Single mother at birth | Parent | Birth | |
Parent dead | Parent, child, health visitor | Age 7, 11, adult report |
An indicator of the number of cumulative hardships was created by summing the total number of hardships (based on the 6 factors, see Table 1) irrespective of number within each type or timing. The final category was created by collapsing the upper categories to maintain a reasonable sample size. We also categorized exposure within each factor by timing of when the hardship was reported (early (birth or age 7), late (age 11 yrs only) or both time periods in order to capture both timing and chronicity. A final indicator was created to capture both the severity and timing of hardship exposures.
At the 45-year interview, participants were also interviewed about their childhood experience of physical, sexual or verbal abuse, neglect, and parental alcoholism or mental health issues. Ultimately, 2915 women (64%) of the women with age at menarche completed this interview.
Covariates
Maternal age at menarche was assessed at the age 11 follow-up using a categorical response (<11, 11, 12, 13, 14, >14). Birth weight was abstracted from on medical records obtained at birth. Mother’s smoking during pregnancy was based on self-report at birth. BMI at age 11 was calculated from height and weight measured at the 11-year follow-up.
Statistical Analysis
All analyses used multivariable generalized logit regression models to estimate risk ratios (OR) while controlling for covariates associated with age at menarche. The SAS PROC LOGISTIC procedure with the glogit link (SAS Institute, 1991) was used. A 3-level outcome variable was used: menarche ≤11 years to menarche, 12–13 years, and menarche ≥14 years. Model #1 was unadjusted and Model#2 controlled for the following covariates: birth weight, maternal smoking during pregnancy (non-smoker/any smoking); BMI at age 11years (continuous); and mother’s age at menses (categorized as above). Multiple imputation, using SAS 9.1’s PROC MI and PROC MIANALYZE, was used to impute missing values for confounders; data were missing for 7% of the study population for mother’s smoking, 8.5% for mother’s birth weight, 19% for mother’s age at menarche, and 18% for BMI at age 11.
We also ran analyses that mutually adjusted for the different types of hardship: one that included only the six factors listed above, and a second model that also incorporated reports of sexual, physical, and verbal abuse.
The 41 year survey has been approved by the North Thames Multi-Centre Research Ethics Committee and the current analysis was approved by the Institutional Review Boards of Tulane University and Boston University School of Medicine.
Results
Of the 4524 participants, the majority (58%) reported menarche between ages 12–13 years, while 15% experienced menarche younger than age 12 (n=695), and 27% reported onset of menarche at or after age 14 years (n=1217). Table 2 presents the distribution of age at menarche by childhood hardships. Financial, caregiver low interest in education, lack of supportive caregiving, violence/mental health issues, neglectful environment and cumulative hardships were significantly associated with age at menarche (p trend <0.05). Table 3 presents the distribution of age at menarche by retrospective report of child abuse and adversities. Sexual abuse, verbal abuse, physical punishment, humiliation, witnessing abuse, conflict in the home, and maternal drinking were associated with age at menarche (p<0.03).
Table 2.
Distribution of Early and Late Age at Menarche by Childhood Hardships
Menarche ≤ 11 years | Menarche ≥ 14 years | Menarche 12–13 years | p (chi-square) | ||||
---|---|---|---|---|---|---|---|
N | % | N | % | N | % | ||
Financial hardship | <0.01 | ||||||
0 | 530 | 77.8 | 843 | 25.2 | 1971 | 76.8 | |
1 | 111 | 16.3 | 235 | 29.4 | 453 | 17.7 | |
2+ | 40 | 5.9 | 112 | 38.2 | 141 | 5.5 | |
No interest in education | <0.01 | ||||||
0 | 496 | 74.4 | 795 | 25.0 | 1895 | 75.0 | |
1 | 76 | 11.4 | 143 | 28.2 | 289 | 11.4 | |
2+ | 95 | 14.2 | 224 | 33.9 | 342 | 13.5 | |
Family dysfunction* | 0.73 | ||||||
0 | 567 | 93.7 | 972 | 93.3 | 2154 | 93.5 | |
1+ | 38 | 6.3 | 70 | 6.7 | 150 | 6.5 | |
Lack of supportive caregiving | 0.05 | ||||||
0 | 424 | 64.6 | 685 | 60.0 | 1580 | 63.7 | |
1 | 135 | 20.6 | 272 | 23.8 | 568 | 22.9 | |
2+ | 97 | 14.8 | 184 | 16.1 | 334 | 13.5 | |
Violence/mental health issues | <0.01 | ||||||
0 | 444 | 64.6 | 664 | 56.7 | 1638 | 64.6 | |
1 | 159 | 23.5 | 330 | 28.2 | 662 | 26.1 | |
2+ | 74 | 10.9 | 178 | 15.2 | 236 | 9.3 | |
Issues of family structure* | 0.31 | ||||||
0 | 596 | 86.9 | 1063 | 88.4 | 2269 | 87.7 | |
1+ | 90 | 13.1 | 139 | 11.6 | 319 | 12.3 | |
Lack of paternal involvement | 0.05 | ||||||
0 | 371 | 54.2 | 595 | 49.8 | 1387 | 53.8 | |
1 | 198 | 28.9 | 390 | 32.6 | 792 | 30.7 | |
2+ | 116 | 16.9 | 211 | 17.6 | 400 | 15.5 | |
Overall | <0.01 | ||||||
0 | 225 | 32.8 | 327 | 27.2 | 866 | 33.4 | |
1 | 140 | 20.4 | 229 | 19.0 | 586 | 22.6 | |
2 | 121 | 17.6 | 204 | 17.0 | 390 | 15.1 | |
3 | 75 | 10.9 | 152 | 12.6 | 271 | 10.5 | |
4+ | 125 | 18.2 | 291 | 24.2 | 477 | 18.4 |
Table 3.
Distribution of Early and Late Age at Menarche by Child Abuse
Menarche ≤ 11 years | Menarche ≥ 14 years | Menarche 12–13 years | p (chi-square) | ||||
---|---|---|---|---|---|---|---|
N | % | N | % | N | % | ||
Sexual abuse | 17 | 3.9 | 22 | 1.8 | 31 | 3.1 | 0.02 |
Physical abuse | 29 | 6.6 | 52 | 5.6 | 97 | 7.3 | 0.28 |
Verbal abuse | 40 | 9.1 | 87 | 12.2 | 138 | 8.1 | <0.01 |
Neglected | 10 | 2.3 | 28 | 4.0 | 52 | 3.0 | 0.27 |
Received too much physical punishment | 19 | 4.4 | 48 | 6.8 | 72 | 4.2 | 0.02 |
Suffered humiliation, ridicule, etc. | 42 | 17.0 | 79 | 32.0 | 126 | 7.4 | 0.01 |
Witnessed physical/sexual abuse | 31 | 7.1 | 67 | 9.3 | 107 | 6.2 | 0.02 |
A lot of conflict/tension in home | 69 | 15.5 | 149 | 20.6 | 230 | 13.2 | <0.01 |
Mother nervous troubles | 113 | 25.5 | 165 | 22.9 | 358 | 20.7 | 0.07 |
Father nervous troubles | 51 | 12.0 | 90 | 12.8 | 187 | 11.0 | 0.43 |
Mother problems with drinking | 19 | 4.3 | 53 | 7.4 | 86 | 5.0 | 0.03 |
Father problems with drinking | 58 | 13.6 | 86 | 12.2 | 180 | 10.6 | 0.16 |
Childhood Hardships and Late Menarche
As presented in Table 4, for 2 or more forms of the associated hardship the adjusted ORs [AOR] for late menarche were 1.80 (95%CI: 1.37, 2.35) for financial hardships, 1.52 for caregiver low interest in education (95%CI: 1.25, 1.85), 1.28 for lack of supportive caregiving (95%CI: 1.04, 1.57), 1.76 for violence/mental health (95%CI: 1.41, 2.20), and 1.25 for lack of paternal involvement (95%CI: 1.02, 1.52) relative to those without the respective exposures. We found a graded association between the cumulative number of hardship types and risk for late menarche (p-trend <0.01): adjusted ORs for late menarche for 2, 3, and 4 or more hardships were 1.37 (95%CI: 1.10, 1.70), 1.50 (95%CI: 1.18, 1.91), and 1.58 (95%CI: 1.29, 1.92), respectively.
Table 4.
Multivariate Generalized Logit Regression Models of Early and Late Age at Menarche by Number of Hardships
OR (unadjusted) | OR (adjusted for mother’s smoking, birthweight, BMI at age 11, and mother’s age at menses) | |||||||
---|---|---|---|---|---|---|---|---|
Age at menarche ≤ 11 | Age at menarche ≥ 14 | Age at menarche ≤ 11 | Age at menarche ≥ 14 | |||||
OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
Financial hardship | ||||||||
0 | ||||||||
1 | 0.91 | (0.73, 1.15) | 1.21 | (1.02, 1.45) | 0.92 | (0.73, 1.16) | 1.20 | (1.00, 1.44) |
2+ | 1.06 | (0.73, 1.52) | 1.86 | (1.43, 2.41) | 1.14 | (0.79, 1.66) | 1.80 | (1.37, 2.35) |
No interest in education | ||||||||
0 | ||||||||
1 | 1.01 | (0.77, 1.32) | 1.18 | (0.95, 1.47) | 0.97 | (0.73, 1.29) | 1.20 | (0.96, 1.50) |
2+ | 1.06 | (0.83, 1.36) | 1.56 | (1.29, 1.88) | 1.05 | (0.81, 1.36) | 1.52 | (1.25, 1.85) |
Family dysfunction | ||||||||
0 | ||||||||
1+ | 0.96 | (0.67, 1.39) | 1.04 | (0.77, 1.39) | 0.96 | (0.66, 1.40) | 1.05 | (0.77, 1.42) |
Lack of supportive caregiving | ||||||||
0 | ||||||||
1 | 0.89 | (0.71, 1.10) | 1.11 | (0.93, 1.31) | 0.86 | (0.69, 1.08) | 1.11 | (0.93, 1.32) |
2+ | 1.08 | (0.84, 1.39) | 1.27 | (1.04, 1.55) | 1.06 | (0.82, 1.37) | 1.28 | (1.04, 1.57) |
Violence/mental health issues | ||||||||
0 | ||||||||
1 | 0.89 | (0.72, 1.09) | 1.23 | (1.05, 1.44) | 0.90 | (0.73, 1.10) | 1.21 | (1.03, 1.43) |
2+ | 1.16 | (0.87, 1.53) | 1.86 | (1.50, 2.31) | 1.21 | (0.91, 1.63) | 1.76 | (1.41, 2.20) |
Issues of family structure | ||||||||
0 | ||||||||
1+ | 1.07 | (0.84, 1.38) | 0.93 | (0.75, 1.15) | 1.10 | (0.85, 1.43) | 0.92 | (0.74, 1.14) |
Lack of paternal involvement | ||||||||
0 | ||||||||
1 | 0.94 | (0.77, 1.14) | 1.15 | (0.98. 1.34) | 0.94 | (0.77, 1.15) | 1.12 | (0.96, 1.32) |
2+ | 1.08 | (0.86, 1.37) | 1.23 | (1.01, 1.49) | 1.04 | (0.81, 1.32) | 1.25 | (1.02, 1.52) |
Overall | ||||||||
0 | ||||||||
1 | 0.92 | (0.73, 1.16) | 1.04 | (0.85, 1.26) | 0.95 | (0.74, 1.20) | 1.02 | (0.83, 1.25) |
2 | 1.19 | (0.93, 1.54) | 1.39 | (1.12, 1.71) | 1.20 | (0.93, 1.55) | 1.37 | (1.10, 1.70) |
3 | 1.07 | (0.79, 1.43) | 1.49 | (1.17, 1.88) | 1.01 | (0.75, 1.37) | 1.50 | (1.18, 1.91) |
4+ | 1.01 | (0.79, 1.29) | 1.62 | (1.33, 1.29) | 1.03 | (0.80, 1.32) | 1.58 | (1.29, 1.92) |
Table 5 presents the association between retrospective report of child abuse and age at menarche. Verbal abuse, physical punishment, humiliation, witnessing abuse, family conflict, and maternal alcohol abuse were associated with adjusted ORs of 1.58 (95%CI: 1.18, 2.12), 1.75 (95% CI: 1.18, 2.58), 1.53 (95%CI: 1.13, 2.07), 1.49 (95%CI: 1.08, 2.07), 1.71 (95%CI: 1.35, 2.16), and 1.50 (95%CI: 1.04, 2.17) for menarche ≥14 years, respectively.
Table 5.
Multivariate Log-Poisson Regression Models of Early and Late Age at Menarche by Child Abuse
unadjusted | adjusted for mother’s smoking, birthweight, BMI at age 11, and mother’s age at menses | |||||||
---|---|---|---|---|---|---|---|---|
menarche ≤ 11 years | menarche ≥ 14 years | menarche ≤ 11 years | menarche ≥ 14 years | |||||
OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
Sexual abuse | 2.20 | (1.21, 4.01) | 1.73 | (1.00, 3.01) | 2.60 | (1.40, 4.81) | 1.57 | (0.89, 2.77) |
Physical abuse | 1.19 | (0.77, 1.82) | 1.32 | (0.93, 1.87) | 1.29 | (0.84, 2.01) | 1.26 | (0.88, 1.80) |
Verbal abuse | 1.14 | (0.79, 1.64) | 1.58 | (1.19, 2.10) | 1.13 | (0.77, 1.65) | 1.58 | (1.18, 2.12) |
Neglected | 0.76 | (0.38, 1.50) | 1.32 | (0.83, 2.11) | 0.74 | (0.37, 1.51) | 1.28 | (0.79, 2.08) |
Received too much physical punishment | 1.04 | (0.62, 1.74) | 1.66 | (1.14, 2.41) | 0.88 | (0.51, 1.52) | 1.75 | (1.18, 2.58) |
Suffered humiliation, ridicule, etc. | 1.34 | (0.93, 1.94) | 1.58 | (1.17, 2.12) | 1.33 | (0.91, 1.95) | 1.53 | (1.13, 2.07) |
Witnessed physical/sexual abuse | 1.16 | (0.76, 1.75) | 1.55 | (1.13, 2.13) | 1.29 | (0.84, 1.97) | 1.49 | (1.08, 2.07) |
A lot of conflict/tension in home | 1.21 | (0.91, 1.62) | 1.71 | (1.36, 2.14) | 1.21 | (0.90, 1.64) | 1.71 | (1.35, 2.16) |
Mother nervous troubles | 1.31 | (1.03, 1.67) | 1.14 | (0.93, 1.41) | 1.37 | (1.07, 1.76) | 1.10 | (0.89, 1.36) |
Father nervous troubles | 1.11 | (0.80, 1.54) | 1.19 | (0.91, 1.55) | 1.16 | (0.82, 1.63) | 1.15 | (0.88, 1.52) |
Mother problems with drinking | 0.86 | (0.52, 1.42) | 1.52 | (1.07, 2.17) | 0.83 | (0.49, 1.40) | 1.50 | (1.04, 2.17) |
Father problems with drinking | 1.33 | (0.97, 1.83) | 1.18 | (0.90, 1.55) | 1.41 | (1.02, 1.96) | 1.13 | (0.85, 1.50) |
Childhood Hardships and Early Menarche
As shown in Table 4, there was no significant association between individual hardships and early menarche, or cumulative childhood hardships and menarche ≤11 years. As presented in Table 5, retrospective report of sexual abuse was associated with an AOR of 2.60 (95% CI: 1.40, 4.81) for menarche ≤11 years, mother having ‘nervous troubles’ was associated with an AOR of 1.37 (95%CI: 1.07, 1.76), father drinking was associated with an AOR of 1.41 (1.02, 1.96).
Timing of Hardships and Menarche
In Table 6 we report results for age of menarche analyzed by timing of hardship (early childhood, late childhood or both periods). Financial hardship experienced in early or late childhood significantly increased risk for late menarche, adjusted OR were 2.05 (95%CI: 1.02, 4.15) and 1.32 (95%CI: 1.11, 1.56), respectively.. Exposure to caregiver low interest in education in early, late and both early and late childhood increased risk for late menarche, AOR were 1.39 (95%CI: 1.09, 1.78), 1.25 (95%CI: 1.00, 1.57), and 1.72 (95%CI:1.28, 2.32). In addition, violence/mental health issues in early, late, and both early and late childhood were significantly associated with increased risk for late menarche, AORs were 1.25 (95%CI: 1.03, 1.53), 1.29 (95%CI: 1.01, 1.64), and 1.74 (95%CI: 1.38,2.18), respectively. Finally, in a variable accounting for both chronicity and frequency of exposures, those with >2 hardships in early childhood had the highest risk for late menarche (AOR 2.32, 95%CI: 1.12, 4.80), as did those with >2 types of hardship exposures in both early childhood and late childhood/adolescence (AOR=1.72; 95%CI: 1.14, 2.60). Exposure to >2 types of hardship in both early childhood and late childhood/adolescence was also associated with late menarche (AOR=2.08; 95%CI: 1.47, 2.96). Early menarche was not significantly associated with the timing of hardships.
Table 6.
Multivariate Logistic Regression Models of Early and Late Age at Menarche by Timing of Hardships
unadjusted | adjusted for mother’s smoking, birthweight, BMI at age 11, and mother’s age at menses | |||||||
---|---|---|---|---|---|---|---|---|
menarche ≤ 11 years | menarche ≥ 14 years | menarche ≤ 11 years | menarche ≥ 14 years | |||||
OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
Financial hardship | ||||||||
neither early nor late a | ||||||||
early only | 1.06 | (0.39, 2.88) | 2.11 | (1.07, 4.16) | 1.20 | (0.44, 3.29) | 2.05 | (1.02, 4.15) |
late only | 0.93 | (0.75, 1.15) | 1.34 | (1.13, 1.58) | 0.95 | (0.76, 1.19) | 1.32 | (1.11, 1.56) |
early and late | 1.44 | (0.83, 2.49) | 1.63 | (1.04, 2.56) | 1.55 | (0.88, 2.74) | 1.55 | (0.97, 2.47) |
No interest in education | ||||||||
neither early nor late a | ||||||||
early only | 0.94 | (0.68, 1.29) | 1.39 | (1.10, 1.76) | 0.91 | (0.66, 1.26) | 1.39 | (1.09, 1.78) |
late only | 1.16 | (0.89, 1.51) | 1.30 | (1.05, 1.61) | 1.17 | (0.89, 1.53) | 1.25 | (1.00, 1.57) |
early and late | 1.03 | (0.69, 1.53) | 1.71 | (1.28, 2.28) | 1.02 | (0.67, 1.53) | 1.72 | (1.28, 2.32) |
Issues of family structure | ||||||||
neither early nor late | ||||||||
early only | 0.95 | (0.64, 1.41) | 0.76 | (0.54, 1.07) | 0.97 | (0.64, 1.46) | 0.74 | (0.52, 1.05) |
late only | 1.18 | (0.76, 1.83) | 1.14 | (0.79, 1.64) | 1.29 | (0.82, 2.03) | 1.09 | (0.75, 1.58) |
early and late | 1.14 | (0.76, 1.73) | 0.97 | (0.68, 1.37) | 1.13 | (0.74, 1.73) | 1.00 | (0.69, 1.43) |
Violence/mental health issues | ||||||||
neither early nor late | ||||||||
early only | 0.95 | (0.75, 1.22) | 1.30 | (1.07, 1.57) | 1.00 | (0.78, 1.29) | 1.25 | (1.03, 1.53) |
late only | 1.05 | (0.79, 1.41) | 1.32 | (1.05, 1.67) | 1.07 | (0.79, 1.44) | 1.29 | (1.01, 1.64) |
early and late | 1.06 | (0.79, 1.44) | 1.79 | (1.43, 2.31) | 1.09 | (0.80, 1.48) | 1.74 | (1.38, 2.18) |
Overall | ||||||||
neither birth nor 7 | ||||||||
birth/7 only | 0.96 | (0.73, 1.27) | 1.27 | (1.01, 1.59) | 0.98 | (0.73, 1.31) | 1.25 | (0.99, 1.57) |
11 only | 1.10 | (0.88, 1.38) | 1.22 | (1.01, 1.47) | 1.11 | (0.88, 1.40) | 1.19 | (0.98, 1.45) |
both early and 11 | 1.02 | (0.82, 1.27) | 1.59 | (1.33, 1.89) | 1.03 | (0.81, 1.29) | 1.56 | (1.30, 1.85) |
neither | ||||||||
early 1–2 | 0.96 | (0.72, 1.28) | 1.21 | (0.96, 1.52) | 0.98 | (0.73, 1.32) | 1.19 | (0.94, 1.51) |
early >2 | 0.92 | (0.31, 2.74) | 2.33 | (1.15, 4.70) | 0.96 | (0.31, 2.97) | 2.32 | (1.12, 4.80) |
late 1–2 only | 1.13 | (0.89, 1.43) | 1.13 | (0.93, 1.39) | 1.13 | (0.89, 1.44) | 1.12 | (0.91, 1.37) |
late >2 only | 0.91 | (0.51, 1.62) | 1.81 | (1.22, 2.70) | 0.94 | (0.52, 1.71) | 1.72 | (1.14, 2.60) |
early 1–2 and late 1–2 | 1.00 | (0.76, 1.32) | 1.49 | (1.20, 1.85) | 0.98 | (0.74, 1.31) | 1.49 | (1.19, 1.87) |
early 1–2 and late>2 | 1.15 | (0.76, 1.75) | 1.49 | (1.07, 2.08) | 1.21 | (0.79, 1.86) | 1.42 | (1.01, 2.00) |
early >2 and late 1–2 | 0.55 | (0.27, 1.11) | 1.44 | (0.94, 2.21) | 0.54 | (0.26, 1.12) | 1.44 | (0.92, 2.24) |
both >2 | 1.28 | (0.81, 2.02) | 2.19 | (1.56, 3.07) | 1.36 | (0.85, 2.18) | 2.08 | (1.47, 2.96) |
When the models were mutually adjusted for the other hardships, violence/mental health issues were associated with both early menarche (AOR for 2 or more, 1.83, 95%CI: 1.18–2.85) and later menarche (AOR for 2 or more, 1.67, 95%CI: 1.16–2.41). In the mutually adjusted model, household tension (AOR 1.57, 95%CI: 1.12–2.19) and lack of parental interest in education (AOR for 2 or more, 1.32, 95%CI: 0.99–1.77) were associated with later menarche. Sexual abuse had a borderline significant association with early menarche (AOR 1.97; 95%CI: 0.86, 4.50), as did lack of supportive caregiving (AOR for 2 or more, 1.32, 95%CI: 0.95–1.84) in mutually adjusted models. Finally, in sub-analyses stratified by maternal age at menarche (>12 vs. ≤12 years) we found no evidence of effect modification.
Discussion
We found a graded association between cumulative social hardships in childhood and risk for late menarche. Different types of hardships appeared to have a stronger impact on risk for late menarche, including financial hardships, caregiver low interest in education, and neglectful home environment. In general, chronic exposure to hardships during childhood conferred a greater risk for late onset menarche, but these associations varied by type and timing of exposure. Family violence/mental health issues were associated with an increased risk for both early and late menarche in models mutually adjusted for other hardships. Childhood sexual abuse was most strongly associated with risk for early menarche. Retrospective reports of verbal abuse, family conflict, maternal drinking, excessive physical punishment, and witnessing abuse were associated with risk for late menarche.
Our findings both confirm and deviate from those in prior studies and therefore extend current understanding of social determinants of pubertal timing. The majority of contemporary studies have highlighted the impact of psychosocial stressors associated with familial disruption (paternal absence) and dysfunction (parental conflict) on risk for earlier timing of menarche.40 After adjustment for other factors, we did find an increased risk of earlier age at menarche with retrospectively reported sexual abuse, maternal ‘nervous troubles’, and paternal drinking problems. However, a variable expressing lack of paternal involvement was a predictor of later age at menarche, rather than early, which deviates from previous literature that supports an association between paternal absence and earlier menarche16,36.
Mounting research evidence supports the role of childhood adversities on reproductive lifespan.11,21,26,40 While our findings support the hypothesis that cumulative social stressors are associated with altered menarcheal timing, they also suggest that different types and periods of exposure to social adversities may impact timing of menarche differently. It is plausible the psychosocial stress associated with specific forms of child maltreatment may accelerate onset of menarche through chronic elevation of HPA and HPG axes,51 while socioeconomic deprivation and environmental neglect may be associated with nutritional deprivation, increased energy expenditure, and slow sexual maturation.
Limitations
Our analysis has several limitations. First, we model BMI at age 11 years as a covariate in our model, but BMI could be an intermediate variable. BMI trajectory has been associated with childhood hardships including poverty, and has also been associated with pubertal timing.52–54 Next, age of menarche was reported by either female participant or her mother. It is plausible that less engaged or neglectful parents may also be more likely to inaccurately report age at menarche. However, if a reporting bias were present it would most likely lead to underestimation of the association between hardships and age at menarche. Many hardships were assessed through multiple informants and prior to the assessment of age at menarche. It seems unlikely that timing of menarche would affect recall of child abuse, which was assessed via retrospective survey administered in adulthood. Next, we lack prospective measures of several forms of child maltreatment, including child physical and sexual abuse. Although we have a prospective measure of child neglect, there is a chance that we could misattribute findings to other unmeasured, but correlated factors. We lack information on timing of the abuse, and it may be that girls who reach menarche earlier are more likely to be targets of sexual abuse. However, an earlier study exploring multiple forms of adversities, including child abuse, low SES, and family conflict found that they preceded early menarche.40 However, our analysis is strengthened by the prospective measurement of childhood hardships, and triangulation of assessment of these hardships by multiple informants, including teacher, social visitor, parent, and the adolescent participant. While the use of multiple informants may provide a more accurate view of the pattern of adversity exposure,55 it may also be introduce misclassification in the case of conflicting reports. In addition, we are strengthened by assessment of maternal age at menarche. Prior studies exploring multiple psychosocial stressors have found weak associations between psychosocial stressor and menarche when controlling for maternal menarche.56
Food rationing in post-war Britain occurred over a 14-year period (1940–1954). Plausibly, maternal health and fitness was adversely affected prior to pregnancy due to food rationing, or due to the stress and general deprivation associated with WWII. Alternatively, nutritional content of the diets of children may have been influenced by parental experience of the food rationing. We have no measures of nutritional content or dietary intake, factors that are associated with both pubertal timing and childhood hardships, so we are unable to evaluate these pathways. Epidemiologic data has largely supported an association between socioeconomic and nutritional conditions, and secular changes in these factors, and pubertal timing;26 therefore, a cautionary note on our findings is that they should be considered with respect to nutritional and socioeconomic conditions in Britain in the mid 20th century. Future studies should explore more thoroughly the potential roles of individual diet and BMI trajectory, with respect to the larger nutritional and socioeconomic context.
Conclusion
In conclusion our findings demonstrate an association between cumulative social hardships in childhood and an increased likelihood of later menarche in this cohort of British women born in 1958. More subtle findings include evidence that critical periods of exposure, types of hardships, and chronicity demonstrate varying degrees of influence on age at menarche. Sexual abuse in childhood, and several forms of child adversity paternal drinking problems and maternal anxiety was associated with risk for early menarche. These findings reflect the complexity of the relation between type and timing of social adversity and menarcheal timing, in addition to cumulative effects. A more thorough understanding of the relative impact of childhood hardships on age at menarche may help inform the design of public health interventions to improve the health of women over the life course.
Acknowledgments
Sources of Financial Support: William T Grant Foundation, Boston University Building Interdisciplinary Research Careers in Women’s Health K12 HD043444 NIH Office of Women’s Health Research and the Charles Hood Foundation. Dr. Harville was supported by Grant Number K12HD043451 from the National Institute of Child Health And Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Child Health And Human Development or the National Institutes of Health
The authors would like to acknowledge the study participants.
Footnotes
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