Assessment of iron status.

PURPOSE OF REVIEW: Iron is an essential trace element in human health that can be harmful at abnormal levels such as iron overload or deficiency. Measured iron status in the body can depend on health outcomes experienced by the individual and this can complicate its accurate assessment. This review will highlight recent research on iron assessment in the literature. RECENT FINDINGS: Research on iron assessment within the past 18 months included some common themes spanning new methods and biomarkers, as well as existing problems in assessing iron deficiency and overload. Heterogeneity in associations between inflammation and iron levels are reflected across different inflammatory biomarkers. New methods relevant to low- and high-resource settings may improve assessment in tissues with iron deficiency and overload. Consensus papers outlined best practices when using MRI to assess iron status. Outside of newer methods, traditional serum markers are the subject of a call for updated guidance when assessing iron status. SUMMARY: Research continues on the topic of iron assessment, underlying its complex metabolism in the body and resulting challenges in assessment. Current literature underscores progress to make iron assessment more accessible, improve existing methods, and update current assessment methods so they correspond with recent research to improve human health.

BMI and breast cancer risk around age at menopause.

BACKGROUND: A high body mass index (BMI, kg/m2) is associated with decreased risk of breast cancer before menopause, but increased risk after menopause. Exactly when this reversal occurs in relation to menopause is unclear. Locating that change point could provide insight into the role of adiposity in breast cancer etiology. METHODS: We examined the association between BMI and breast cancer risk in the Premenopausal Breast Cancer Collaborative Group, from age 45 up to breast cancer diagnosis, loss to follow-up, death, or age 55, whichever came first. Analyses included 609,880 women in 16 prospective studies, including 9956 who developed breast cancer before age 55. We fitted three BMI hazard ratio (HR) models over age-time: constant, linear, or nonlinear (via splines), applying piecewise exponential additive mixed models, with age as the primary time scale. We divided person-time into four strata: premenopause; postmenopause due to natural menopause; postmenopause because of interventional loss of ovarian function (bilateral oophorectomy (BO) or chemotherapy); postmenopause due to hysterectomy without BO. Sensitivity analyses included stratifying by BMI in young adulthood, or excluding women using menopausal hormone therapy. RESULTS: The constant BMI HR model provided the best fit for all four menopausal status groups. Under this model, the estimated association between a five-unit increment in BMI and breast cancer risk was HR=0.87 (95% CI: 0.85, 0.89) before menopause, HR=1.00 (95% CI: 0.96, 1.04) after natural menopause, HR=0.99 (95% CI: 0.93, 1.05) after interventional loss of ovarian function, and HR=0.88 (95% CI: 0.76, 1.02) after hysterectomy without BO. CONCLUSION: The BMI breast cancer HRs remained less than or near one during the 45-55 year age range indicating that the transition to a positive association between BMI and risk occurs after age 55.

Toenail and serum levels as biomarkers of iron status in pre- and postmenopausal women: correlations and stability over eight-year follow-up.

Iron status is often assessed in epidemiologic studies, and toenails offer a convenient alternative to serum because of ease of collection, transport, and storage, and the potential to reflect a longer exposure window. Very few studies have examined the correlation between serum and toenail levels for trace metals. Our aim was to compare iron measures using serum and toenails on both a cross-sectional and longitudinal basis. Using a subset of the US-wide prospective Sister Study cohort, we compared toenail iron measures to serum concentrations for iron, ferritin and percent transferrin saturation. Among 146 women who donated both blood and toenails at baseline, a subsample (59%, n = 86) provided specimens about 8 years later. Cross-sectional analyses included nonparametric Spearman's rank correlations between toenail and serum biomarker levels. We assessed within-woman maintenance of rank across time for the toenail and serum measures and fit mixed effects models to measure change across time in relation to change in menopause status. Spearman correlations at baseline (follow-up) were 0.08 (0.09) for serum iron, 0.08 (0.07) for transferrin saturation, and - 0.09 (- 0.17) for ferritin. The within-woman Spearman correlation for toenail iron between the two time points was higher (0.47, 95% CI 0.30, 0.64) than for serum iron (0.30, 95% CI 0.09, 0.51) and transferrin saturation (0.34, 95% CI 0.15, 0.54), but lower than that for ferritin (0.58, 95% CI 0.43, 0.73). Serum ferritin increased over time while nail iron decreased over time for women who experienced menopause during the 8-years interval. Based on cross-sectional and repeated assessments, our evidence does not support an association between serum biomarkers and toenail iron levels. Toenail iron concentrations did appear to be moderately stable over time but cannot be taken as a proxy for serum iron biomarkers and they may reflect physiologically distinct fates for iron.

Associations Between Serum Iron Biomarkers and Breast Cancer Tumor Size.

Excess iron has been shown to promote tumor growth in animals whereas iron deficiency has been associated with reduced or slowed tumor growth. The objective of this analysis was to estimate the associations between serum iron biomarkers and tumor size at diagnosis and metastatic status in a sample of breast cancer cases from the Sister Study.The analytic sample included 2,494 incident breast cancer cases with information on tumor size and iron biomarkers, including serum iron (mcg/dL), ferritin (mcg/dL), and percent transferrin saturation, measured in serum collected at baseline. We used Spearman rank correlation and linear regression models to assess the associations between one SD changes in serum iron biomarker levels and natural log of tumor size (cm) adjusting for body mass index and age at study entry.We did not find strong associations between any of the three serum iron biomarkers and tumor size. Adjusted regression slopes (95% confidence interval) were -0.016 (-0.048 to 0.016) for serum iron, -0.032 (-0.064 to <0.001) for ferritin, and -0.010 (-0.043 to 0.023) for transferrin saturation.This study did not provide evidence supporting the hypothesis of a positive association between breast cancer tumor size at diagnosis and prediagnostic serum iron levels. Conflicting evidence between this study and previous research in animal models suggests that iron in the human tumor microenvironment may operate independently of circulating iron or body iron stores.Iron has shown protumorigenic activity in animal models, but our data do not support a positive relationship between breast tumor growth and iron status. SIGNIFICANCE: Using a large sample of women from a U.S. prospective cohort, we assessed associations between several serum iron measures at baseline and breast cancer tumor size and metastatic status. All estimated associations were close to zero with no evidence to support our hypothesis of higher body iron levels associated with larger tumor size. These results suggest the human tumor microenvironment operates independently of circulating serum iron levels.

Development and validation of a prediction model for iron status in a large U.S. cohort of women.

Serum iron levels can be important contributors to health outcomes, but it is not often feasible to rely on blood-based measures for a large epidemiologic study. Predictive models that use questionnaire-based factors such as diet, supplement use, recency of blood donation, and medical conditions could potentially provide a noninvasive alternative for studying health effects associated with iron status. We hypothesized that a model based on questionnaire data could predict blood-based measures of iron status biomarkers. Using iron (mcg/dL), ferritin (mcg/dL), and transferrin saturation (%) based on blood collected at study entry, in a subsample from the U.S.-wide Sister Study (n = 3171), we developed and validated a prediction model for iron with multivariable linear regression models. Model performance based on these cross-sectional data was weak, with R2 less than 0.10 for serum iron and transferrin saturation, but better for ferritin, with an R2 of 0.13 in premenopausal women and 0.19 in postmenopausal women. When menopause was included in the predictive model for the sample, the R2 was 0.31 for ferritin. Internal validation of the estimates indicated some optimism present in the observed prediction model, implying there would be worse performance when applied to new samples from the same population. Serum iron status is hard to assess based only on questionnaire data. Reducing measurement error in both the exposure and outcome may improve the prediction model performance, but environmental heterogeneity, temporal variation, and genetic heterogeneity in absorption and storage may contribute substantially to iron status.

Infant Growth Trajectories and Lipid Levels in Adolescence: Evidence From a Chilean Infancy Cohort.

Growth in early infancy is hypothesized to affect chronic disease risk factors later in life. To date, most reports draw on European-ancestry cohorts with few repeated observations in early infancy. We investigated the association between infant growth before 6 months and lipid levels in adolescents in a Hispanic/Latino cohort. We characterized infant growth from birth to 5 months in male (n = 311) and female (n = 285) infants from the Santiago Longitudinal Study (1991-1996) using 3 metrics: weight (kg), length (cm), and weight-for-length (g/cm). Superimposition by translation and rotation (SITAR) and latent growth mixture models (LGMMs) were used to estimate the association between infant growth characteristics and lipid levels at age 17 years. We found a positive relationship between the SITAR length velocity parameter before 6 months of age and high-density lipoprotein cholesterol levels in adolescence (11.5, 95% confidence interval; 3.4, 19.5), indicating higher high-density lipoprotein cholesterol levels occurring with faster length growth. The strongest associations from the LGMMs were between higher low-density lipoprotein cholesterol and slower weight-for-length growth, following a pattern of associations between slower growth and adverse lipid profiles. Further research in this window of time can confirm the association between early infant growth as an exposure and adolescent cardiovascular disease risk factors.

Does This Adult Patient Have Hypertension?: The Rational Clinical Examination Systematic Review.

Importance: Office blood pressure (BP) measurements are not the most accurate method to diagnose hypertension. Home BP monitoring (HBPM) and 24-hour ambulatory BP monitoring (ABPM) are out-of-office alternatives, and ABPM is considered the reference standard for BP assessment. Objective: To systematically review the accuracy of oscillometric office and home BP measurement methods for correctly classifying adults as having hypertension, defined using ABPM. Data Sources: PubMed, Cochrane Library, Embase, ClinicalTrials.gov, and DARE databases and the American Heart Association website (from inception to April 2021) were searched, along with reference lists from retrieved articles. Data Extraction and Synthesis: Two authors independently abstracted raw data and assessed methodological quality. A third author resolved disputes as needed. Main Outcomes and Measures: Random effects summary sensitivity, specificity, and likelihood ratios (LRs) were calculated for BP measurement methods for the diagnosis of hypertension. ABPM (24-hour mean BP ≥130/80 mm Hg or mean BP while awake ≥135/85 mm Hg) was considered the reference standard. Results: A total of 12 cross-sectional studies (n = 6877) that compared conventional oscillometric office BP measurements to mean BP during 24-hour ABPM and 6 studies (n = 2049) that compared mean BP on HBPM to mean BP during 24-hour ABPM were included (range, 117-2209 participants per analysis); 2 of these studies (n = 3040) used consecutive samples. The overall prevalence of hypertension identified by 24-hour ABPM was 49% (95% CI, 39%-60%) in the pooled studies that evaluated office measures and 54% (95% CI, 39%-69%) in studies that evaluated HBPM. All included studies assessed sensitivity and specificity at the office BP threshold of 140/90 mm Hg and the home BP threshold of 135/85 mm Hg. Conventional office oscillometric measurement (1-5 measurements in a single visit with BP ≥140/90 mm Hg) had a sensitivity of 51% (95% CI, 36%-67%), specificity of 88% (95% CI, 80%-96%), positive LR of 4.2 (95% CI, 2.5-6.0), and negative LR of 0.56 (95% CI, 0.42-0.69). Mean BP with HBPM (with BP ≥135/85 mm Hg) had a sensitivity of 75% (95% CI, 65%-86%), specificity of 76% (95% CI, 65%-86%), positive LR of 3.1 (95% CI, 2.2-4.0), and negative LR of 0.33 (95% CI, 0.20-0.47). Two studies (1 with a consecutive sample) that compared unattended automated mean office BP (with BP ≥135/85 mm Hg) with 24-hour ABPM had sensitivity ranging from 48% to 51% and specificity ranging from 80% to 91%. One study that compared attended automated mean office BP (with BP ≥140/90 mm Hg) with 24-hour ABPM had a sensitivity of 87.6% (95% CI, 83%-92%) and specificity of 24.1% (95% CI, 16%-32%). Conclusions and Relevance: Office measurements of BP may not be accurate enough to rule in or rule out hypertension; HBPM may be helpful to confirm a diagnosis. When there is uncertainty around threshold values or when office and HBPM are not in agreement, 24-hour ABPM should be considered to establish the diagnosis.

Evidence for familial clustering in breast cancer age of onset.

BACKGROUND: Familial clustering of age at onset would have implications for both personalized screening and aetiology, but has not been studied for breast cancer. METHODS: We prospectively studied a cohort of 23 145 sisters to explore whether their breast cancer risk changed near the age at diagnosis of a previously affected older sister. Using an age-time-dependent variable in a Cox regression model, we estimated hazard ratios for breast cancer when participants were near their sister's diagnosis age, relative to similarly aged women whose sister was diagnosed at a very different age. To rule out a correlation driven by young-onset familial cancer, we separately investigated women who had enrolled at age 50 or older. RESULTS: Of the 23 145 women, 1412 developed breast cancer during follow-up (median 9.5 years). The estimated hazard ratio was 1.80 (95% confidence interval: 1.18, 2.74) at their sister's age at diagnosis, suggesting a substantial increase in risk compared with women of the same age but whose sister was diagnosed at a very different age. Restriction to women who enrolled at or after age 50 produced similar results. CONCLUSIONS: This familial clustering suggests that there may be important genetic and/or early environmental risk factors that influence the timing of breast cancer, even when onset is late in life. Personalized screening might need to account for the age at which a sister was earlier diagnosed with breast cancer.

Association Between Serum Iron Biomarkers and Breast Cancer.

BACKGROUND: Iron is both essential to life and potentially toxic at higher levels. Epidemiologic studies of iron and breast cancer are sparse, with substantial heterogeneity found in a recent meta-analysis. Evidence based on a comprehensive set of iron biomarkers and a large sample size could help clarify relationships between iron body stores and breast cancer risk. METHODS: A case-cohort sample of 6,008 women, including 3,011 incident cases, has been followed for a median of 7.9 years. We estimated breast cancer HRs with Cox models, including age as the primary time scale and including in turn iron, ferritin, percent transferrin saturation, and their first principal component (PC) both as categorical (quartiles) and continuous measures. RESULTS: Adjusted HRs for the highest versus lowest quartiles of iron, ferritin, and transferrin saturation (95% confidence interval) were 1.06 (0.90-1.25), 1.03 (0.87-1.23), and 0.94 (0.80-1.12), respectively, and 1.06 (0.90-1.25) for the first principal component (PC). Associations were similar when follow-up time was restricted to ≤4 or >2 years. Post hoc analyses suggested low iron stores were associated with reduced breast cancer risk, in both pre- and postmenopause and the obese. CONCLUSIONS: A study with one of the largest sample sizes to date and with all three measures of circulating iron, ferritin, and transferrin saturation does not support a strong association between elevated iron stores and breast cancer risk. Further investigation of low iron may be warranted. IMPACT: These results do not support a strong association between iron overload and breast cancer incidence.

Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort.

OBJECTIVES: Infant anthropometric growth varies across socioeconomic factors, including maternal education and income, and may serve as an indicator of environmental influences in early life with long-term health consequences. Previous research has identified sociodemographic gradients in growth with a focus on the first year and beyond, but estimates are sparse for growth before 6 months. Thus, our objective was to examine the relationship between sociodemographic factors and infant growth patterns between birth and 5 months of age. DESIGN: Prospective cohort study. SETTINGS: Low-income to middle-income neighbourhoods in Santiago, Chile (1991-1996). PARTICIPANTS: 1412 participants from a randomised iron-deficiency anaemia preventive trial in healthy infants. MAIN OUTCOME MEASURES: Longitudinal anthropometrics including monthly weight (kg), length (cm) and weight-for-length (WFL) values. For each measure, we estimated three individual-level growth parameters (size, timing and velocity) from SuperImposition by Translation and Rotation models. Size and timing changes represent vertical and horizontal growth curve shifts, respectively, and velocity change represents growth rate shifts. We estimated the linear association between growth parameters and gestational age, maternal age, education and socioeconomic position (SEP). RESULTS: Lower SEP was associated with a slower linear (length) velocity growth parameter (-0.22, 95% CI -0.31 to -0.13)-outcome units are per cent change in velocity from the average growth curve. Lower SEP was associated with later WFL growth timing as demonstrated through the tempo growth parameter for females (0.25, 95% CI 0.05 to 0.42)-outcome units are shifts in days from the average growth curve. We found no evidence of associations between SEP and the weight size, timing or velocity growth rate parameters. CONCLUSION: Previous research on growth in older infants and children shows associations between lower SEP with slower length velocity. We found evidence supporting this association in the first 5 months of life, which may inform age-specific prevention efforts aimed at infant length growth.

The perils of standardizing infant weight to assess weight change differences across exposure groups.

PURPOSE: When conducting analyses of child weight growth trajectories, researchers commonly use Z-scores from a standard instead of the observed weights. However, these Z-scores, calculated from cross-sectional data, may introduce methodological limitations when used in the context of longitudinal analyses. We assessed analytic limitations when analyzing infant growth data with three anthropometric measures: weight and the corresponding Z-scores and percentiles from a standard. METHODS: We undertook a series of Monte Carlo simulations and compared tests of differences in postnatal weight change across time (growth velocity) between two exposure groups. Models with the observed weight outcome were compared to the corresponding weight World Health Organization (WHO) Z-score or weight percentile outcomes. We calculated power, type I error, and median product term coefficient estimates to assess differences between the models. RESULTS: There was lower power to detect velocity differences across exposure groups for WHO Z-scores and percentiles as outcomes compared to the use of observed weight values. We also noted instances in which velocity differences between exposed and unexposed groups were in the opposite direction in analyses with WHO Z-score outcomes. CONCLUSIONS: In our simulations of infant weight velocity differences across exposure groups, we observed lower power and effect inconsistencies when applying a standard-derived Z-score transformation. These results emphasize the need for careful consideration of the appropriate scale when assessing infant growth trajectories across categorical groups.

The association between internet and television access and disordered eating in a Chinese sample.

OBJECTIVE: China has historically reported a low prevalence of eating disorders. However, the rapid social and economic development of this country as well as Western ideals widely disseminated by television and the Internet have led to distinct patterns of behavioral choices that could affect eating disorder risk. Thus, the current study explored the relation between disordered eating and media use. METHOD: Participants were females from the 2009 wave of the China Health and Nutrition Survey (N = 1,053). Descriptive statistics were obtained and logistic regression models, stratified by age (adolescents ages 12-17 years and adults ages 18-35 years), were used to evaluate the association of media use with disordered eating. RESULTS: In adolescents, 46.8% had access to the Internet and those with access averaged one hour per day each of Internet and television use. In adults, 41.4% had access to the Internet, and those with access averaged 1 h per day of Internet use and 2 h per day of television use. Internet access was significantly associated with a subjective belief of fatness (OR = 2.8, 95% CI: 1.6, 4.9) and worry over losing control over eating (OR = 4.8, 95% CI: 2.3, 9.8) only in adults. DISCUSSION: These findings help characterize the overall pattern of media use and report of eating disorder symptoms in a large sample of female Chinese adolescents and adults. That Internet access in adults was significantly associated with disordered eating cognitions might suggest that media access negatively influences these domains; however, more granular investigations are warranted.

Psychosocial factors associated with bulimia nervosa during pregnancy: An internal validation study.

OBJECTIVE: The aim of this paper was to internally validate previously reported relations (Knoph Berg et al., Aust N Z J Psychiatry, 42, 396-404, 2008) between psychosocial factors and bulimia nervosa (BN) outcomes during pregnancy. METHOD: This study is based on the Norwegian Mother and Child Cohort Study (MoBa) conducted by the Norwegian Institute of Public Health. Participants were women enrolled during pregnancy (N = 69,030). Internal validity was evaluated by way of bootstrapped parameter estimates using the overall sample and a split sample calibration approach. RESULTS: Bootstrap bias estimates were below the problematic threshold, and extend earlier findings (Knoph Berg et al., Aust N Z J Psychiatry, 42, 396-404, 2008) by providing support for the validity of the models at the population level of all pregnant women in Norway. Bootstrap risk ratios indicated that prevalence, incidence, and remission of BN during pregnancy were significantly associated with psychosocial factors. The split sample procedure showed that the models developed on the training sample did not predict risks in the validation sample. DISCUSSION: This study characterizes associations between psychosocial exposures and BN outcomes among pregnant women in Norway. Women with lifetime and current self-reported psychosocial adversities were at a much higher risk for BN during pregnancy. Psychosocial factors were associated with BN remission during pregnancy, inviting the prospect of enhancing therapeutic interventions. We consider the findings in the context of reproducibility in science.

Developmental trajectories of postpartum weight 3 years after birth: Norwegian Mother And Child Cohort study.

This study explored the developmental trajectories of postpartum weight from 0.5 to 3 years after childbirth, and aimed to determine the associations between postpartum weight trajectories and prepregnancy body mass index and adequacy of gestational weight gain (GWG). Data from the Norwegian Mother and Child Cohort study were used, following 49,528 mothers 0.5, 1.5, and 3 years after childbirth. Analyses were performed using latent growth mixture modeling. Three groups of developmental trajectories of postpartum weight were found, with most women (85.9 %) having a low level of weight retention initially and slight gain over 3 years, whereas 5.6 % of women started at a high postpartum weight retention (on average 7.56 kg) at 0.5 years but followed by a marked weight loss over time (2.63 kg per year on average), and the third trajectory represented women (8.5 %) who had high weight retention high initially (on average 4.67 kg at 0.5 years) and increasing weight over time (1.43 kg per year on average). Prepregnancy overweight and obesity and excessive GWG significantly predicted a high postpartum weight trend. Women had substantial variability in postpartum weight development-both initially after birth and in their weight trajectories over time. Early preventive interventions may be designed to assist women with prepregnancy overweight and obesity and excessive GWG, which helps to reduce the increasing trend for postpartum weight.

Weight-for-length trajectories in the first year of life in children of mothers with eating disorders in a large Norwegian Cohort.

OBJECTIVE: To describe weight-for-length (WFL) trajectories in the children (birth-12 months) of mothers with and without eating disorders. METHOD: This study is based on the Norwegian Mother and Child Cohort Study (MoBa) conducted by the Norwegian Institute of Public Health. We categorized women (N = 57,185) based on diagnosis prior to and during pregnancy: anorexia nervosa, bulimia nervosa, eating disorder not otherwise specified-purging subtype, binge eating disorder, or no eating disorder. The primary analysis included a shape invariant model fitted with nonlinear mixed effects to compare growth rates across eating disorder subtypes. RESULTS: The children of mothers reporting any eating disorder had a lower WFL growth rate from birth to 12 months than the children of mothers without eating disorders, even after adjusting for relative birth weight and some confounders known to affect growth. DISCUSSION: In this cohort, child WFL was related to maternal eating disorder status before and/or during pregnancy. These differences in growth trajectories warrant further study of long-term health outcomes and, if replicated, tailoring counseling to mothers with eating disorders during pregnancy.

Gestational and postpartum weight change patterns in mothers with eating disorders.

BACKGROUND: Although pregnancy can be associated with adaptive changes in weight and eating behaviour for women with eating disorders, less is known about whether these changes are maintained in the postpartum period. We used a longitudinal design to examine gestational and postpartum weight trajectories in mothers with and without eating disorders in the Norwegian Mother and Child Cohort Study (MoBa) conducted by the Norwegian Institute of Public Health. METHODS: Fifty-six women reported anorexia nervosa (AN), 636 bulimia nervosa, 3327 binge eating disorder and 69 eating disorder not otherwise specified, purging type. The referent group included 61,233 mothers with no eating disorder. We used a mixed effects model to predict weight change over time by eating disorder subtype. RESULTS: Mothers with AN, bulimia nervosa, binge eating disorder and eating disorder not otherwise specified had greater increases in body mass index (BMI) during pregnancy and greater decreases in BMI over the first 6 months postpartum. Women with AN shifted from the underweight BMI range before pregnancy to the normal weight range at 36 months postpartum CONCLUSIONS: Patterns of maternal weight gain and retention during the perinatal period vary across eating disorder subtype and warrant clinical attention.

Childhood anxiety trajectories and adolescent disordered eating: findings from the NICHD Study of Early Child Care and Youth Development.

OBJECTIVE: The goal of the present article was to examine whether childhood anxiety trajectories predict eating psychopathology. We predicted that girls with trajectories of increasing anxiety across childhood would have significantly greater risk of disordered eating in adolescence in comparison to girls with stable or decreasing trajectories of anxiety over childhood. METHOD: Data were collected as part of the prospective longitudinal NICHD Study of Early Child Care and Youth Development (N = 450 girls). Childhood anxiety was assessed yearly (54 months through 6th grade) via maternal report on the Child Behavior Checklist. Disordered eating behaviors were assessed at age 15 via adolescent self-report on the Eating Attitudes Test (EAT-26). We conducted latent growth mixture modeling to define girls' childhood anxiety trajectories. Maternal sensitivity, maternal postpartum depression, maternal anxiety, and child temperament were included as predictors of trajectory membership. RESULTS: The best fitting model included three trajectories of childhood anxiety, the low-decreasing class (22.9% of girls), the high-increasing class (35.4%), and the high-decreasing class (41.6%). Mothers with more symptoms of depression and separation anxiety had girls who were significantly more likely to belong to the high-increasing anxiety trajectory. There were no significant differences in adolescent disordered eating for girls across the three childhood anxiety trajectories. DISCUSSION: Childhood anxiety, as captured by maternal report, may not be the most robust predictor of adolescent disordered eating and may be of limited utility for prevention programs that aim to identify children in the community at greatest risk for disordered eating.

Binge eating and menstrual dysfunction.

OBJECTIVE: The relation between eating disorders and menstrual function has been widely studied, but it is unknown whether the behavior of binge eating itself is related to menstrual dysfunction. METHODS: The 11,503 women included in this study were from the Swedish Twin study of Adults: Genes and Environment. The associations between menstrual dysfunction and binge eating were analyzed using logistic regression or multiple linear regression models with generalized estimation equations. RESULTS: Women who reported lifetime binge eating were more likely to report either amenorrhea or oligomenorrhea than women who reported no binge eating. These results persisted when controlling for compensatory behaviors including self-induced vomiting, laxative use, and diuretic use. No differences between women with and without a history of binge eating were observed for age at menarche. CONCLUSION: Even when controlling for the effect of compensatory behaviors, the behavior of binge eating is associated with menstrual dysfunction. Metabolic and endocrinological factors could underlie this association. Careful evaluation of menstrual status is warranted for women with all eating disorders, not just anorexia nervosa.

NURTURE: development and pilot testing of a novel parenting intervention for mothers with histories of an eating disorder.

OBJECTIVE: To describe the treatment development and pilot testing of a group parenting intervention, NURTURE (Networking, Uniting, and Reaching out To Upgrade Relationships and Eating), for mothers with histories of eating disorders. METHOD: Based on focus group findings, extant research, and expert opinion, NURTURE was designed to be delivered weekly over 16 (1.5 h) sessions via an interactive web conferencing forum. It comprises four modules: (1) laying the foundation, (2) general parenting skills, (3) eating and feeding, and (4) breaking the cycle of risk. Pilot testing was conducted with three groups of 3-6 mothers (N = 13) who had children ages 0-3 years to determine feasibility (e.g., retention), acceptability (e.g., feedback questionnaire responses), and preliminary efficacy. Maternal satisfaction with NURTURE and changes in mother-child feeding relationship measures, maternal feeding style, maternal self-efficacy, and maternal psychopathology (eating disorder, depression, and anxiety symptoms) across three time points (baseline, post-treatment, 6-month follow-up) were examined. All outcomes were exploratory. RESULTS: The intervention was well tolerated with a 100% retention rate. Feedback from mothers was generally positive and indicated that the groups provided an engaging, supportive experience to participants. We observed changes suggestive of improvement in self-reported maternal self-efficacy and competence with parenting. There were no notable changes in measures of maternal feeding style or psychopathology. DISCUSSION: NURTURE is a feasible, acceptable, and potentially valuable intervention for mothers with eating disorder histories. Results of this pilot will inform a larger randomized-controlled intervention to determine efficacy and impact on child outcomes.

Eating Disorders, Pregnancy, and the Postpartum Period: Findings from the Norwegian Mother and Child Cohort Study (MoBa).

This review summarizes studies on eating disorders in pregnancy and the postpartum period that have been conducted as part of the broader Norwegian Mother and Child Cohort Study (MoBa). Prior to the 2000s, empirical literature on eating disorders in pregnancy was sparse and consisted mostly of studies in small clinical samples. MoBa has contributed to a new era of research by making population-based and large-sample research possible. To date, MoBa has led to 19 studies on diverse questions including the prevalence, course, and risk correlates of eating disorders during pregnancy and the postpartum. The associations between eating disorder exposure and pregnancy, birth and obstetric outcomes, and maternal and offspring health and well-being, have also been areas of focus. The findings indicate that eating disorders in pregnancy are relatively common and appear to confer health risks to mother and her child related to sleep, birth outcomes, maternal nutrition, and child feeding and eating.