0
We're unable to sign you in at this time. Please try again in a few minutes.
Retry
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
Retry
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Article |

Longitudinal Study of Growth and Adiposity in Parous Compared With Nulligravid Adolescents FREE

Erica P. Gunderson, PhD; Ruth Striegel-Moore, PhD; George Schreiber, ScD; Mark Hudes, PhD; Frank Biro, MD; Stephen Daniels, MD, PhD; Patricia B. Crawford, DrPH
[+] Author Affiliations

Author Affiliations: Division of Research, Kaiser Permanente, Oakland, California (Dr Gunderson); Department of Psychology, Wesleyan University, Middletown, Connecticut (Dr Striegel-Moore); Westat Inc, Rockville, Maryland (Dr Schreiber); Department of Nutritional Sciences, University of California at Berkeley, Berkeley (Drs Hudes and Crawford); Cincinnati Children's Hospital, Cincinnati, Ohio (Dr Biro); and University of Colorado School of Medicine, Aurora (Dr Daniels).


Arch Pediatr Adolesc Med. 2009;163(4):349-356. doi:10.1001/archpediatrics.2009.9.
Text Size: A A A
Published online

Objective  To examine the impact of pregnancy on adolescent growth and adiposity relative to nulligravidas of similar maturation stage.

Design  Prospective cohort study.

Setting  The multicenter National Heart, Lung and Blood Growth and Health Study with annual examinations from 1987-1988 through 1996-1997.

Participants  One thousand eight hundred ninety girls (983 black and 907 white) aged 9 to 10 years at enrollment.

Main Exposure  Self-reported number of pregnancies and births during adolescence and young adulthood (age, 15-19 years): 311 primiparas (17%), 84 multiparas (4%), 196 nulliparous gravidas (10%), and 1299 nulligravidas (69%).

Outcome Measures  Estimated race-specific changes in body weight, height, body mass index, waist circumference, hip circumference, waist to hip ratio, and percent body fat, defined as the difference between baseline and measurements 9 to 10 years later.

Results  Thirty-one percent of black and 10% of white girls gave birth during adolescence and young adulthood. We found evidence of race by pregnancy interactions (P < .10) for changes in weight, body mass index, hip circumference, and percent body fat. Black primiparas and multiparas, respectively, had smaller decrements in waist to hip ratio (0.019 and 0.023) and greater increments in weight (3.6 and 6.0 kg), body mass index (1.3 and 2.3), waist circumference (3.5 and 5.2 cm), hip circumference (2.1 and 4.0 cm), and percent body fat (3.4% and 4.6%) than black nulligravidas after adjustment for baseline measurements, age, study center, family income, parental education, age at menarche, hours of television and video viewing, and height at visit 9 or 10 in weight models (P < .01). White primiparas had borderline greater increments in waist circumference (2.4 cm) and percent body fat (0.9%) and smaller decrements in waist to hip ratio (0.017) than white nulligravidas (P < .05). Height did not differ by pregnancy status.

Conclusions  Women who give birth during adolescence and young adulthood have substantially greater increments in overall and central adiposity than adolescents who do not experience pregnancy independent of other known correlates of weight gain.

Pregnancy promotes development of obesity and worsens metabolic risk factors in adult women.14 Pregnancy during adolescence, a period of growth and fat accumulation in females, may exacerbate these risks5 by contributing to excess weight gain and increased central adiposity, especially among growing adolescents.6 Greater gestational weight gain and postpartum weight retention than adults are characteristic of pregnant adolescents.710 Studies have shown that after 28 weeks' gestation, growing adolescents continued to accrue fat, whereas nongrowing adolescents and adult gravidas mobilized fat stores.6,11 Growing adolescents also retained more weight postpartum than adults.11 What is not clear from these studies is to what extent pregnancy influences adolescent growth and changes in body composition relative to nongravid adolescents of similar maturation stage. In 464 Brazilian adolescent girls aged 15 to 19 years, those who became pregnant (n = 74 [16%]) had greater gains in weight and body mass index (BMI) and smaller increments in stature than nulligravidas within the same 4-year interval.12 Thus, pregnancy may influence gains in adiposity and stature apart from secular trends and maturation differences.

Pregnancy has been associated with development of overweight in both adults3,4 and adolescents.5 Girls who become pregnant during adolescence have earlier physical maturation and different sociodemographic characteristics.9,13,14 Both younger age at menarche (<12 years) and shorter interval from menarche to first birth (<8 years) have been associated with increased risk of overweight after pregnancy during adulthood, indicating that timing of reproductive maturation stage may influence postpartum weight retention.15 Therefore, the timing of pregnancy in relation to maturation may play an important role in determining adiposity and future health.

To our knowledge, no study has examined differences in growth and adiposity among pregnant vs nonpregnant adolescent girls from the same population based on anthropometric measurements obtained prior to menarche. We sought to evaluate the impact of pregnancy during adolescence on growth and adiposity in the National Heart, Lung and Blood Institute Growth and Health Study (NGHS) sample of black and white girls who were followed up annually for 10 years since they were aged 9 to 10 years. In this large prospective cohort, we examined growth and adiposity changes in adolescent and young adult females from before to after pregnancy relative to nulligravidas of the same age within the same study population and time.

PARTICIPANTS AND STUDY DESIGN

The NGHS is a multicenter, longitudinal, observational study of the development of obesity in black and white girls during adolescence and the relationship between obesity and cardiovascular disease risk factors during a 10-year period.16,17 The NGHS was designed to examine the association between behavioral, psychosocial, and environmental attributes to risk factors for cardiovascular disease in a cohort of black girls and white girls followed up from childhood to age 18 to 19 years as previously described.16 The study was undertaken by 3 clinical centers: University of California at Berkeley, University of Cincinnati Medical Center and Children's Hospital Medical Center, and Westat Inc, Rockville, Maryland. The Maryland Medical Research Institute served as the coordinating center. The institutional review board at each participating study center approved the study. Written informed consent was obtained from participants and their parents or guardians for all study procedures.

The University of California at Berkeley used census sampling to recruit participants from all public and parochial schools in west Contra Costa County, California. The University of Cincinnati Medical Center and Cincinnati Children's Hospital Medical Center recruited participants from Ohio public and parochial schools that were racially and socioeconomically representative of the greater Cincinnati area. Westat Inc recruited participants from Group Health Association, a health maintenance organization in Washington, DC. As previously reported,16 81% of eligible girls at the University of California and Westat sites and 74% of those at the Cincinnati site were enrolled in the study between January 1987 and May 1988. Girls aged 9 and 10 years were the primary focus of the study; however, their parents and guardians were also interviewed and enrolled. Recruitment, data collection methodology, and the determination of race have been previously described.1618 In 1987-1988, 2379 girls (1213 black and 1166 white) and their families were enrolled. In 1996-1997, the girls in NGHS were aged 18 to 19 years, and the retention rate was 88% of the original cohort.

Of 2094 girls examined in 1987-1988 and again up to 1996-1997, 471 reported 1 or more births, 224 reported 1 or more pregnancies but no births, 84 were missing reproductive history, and 1315 girls reported no pregnancies. We selected NGHS participants who reported pregnancies and those with incomplete or uncertain information on reproductive history (n = 779) for the NGHS pregnancy study from 2002 to 2005 in which telephone interviews were done to confirm when pregnancies and births occurred. We also requested permission to collect information from pregnancy medical records and to obtain copies of their children's birth certificates. We also used data (ie, birth dates of their infants) collected from an ancillary study of 2054 participants, NGHS Wave II (1998-2001), to ascertain whether additional unreported births had occurred during the study period.19 For parous adolescents, NGHS visits were scheduled at least 4 months post partum.

Of the 779 participants who were eligible for the pregnancy study, 694 (89%) were located and agreed to provide additional information on pregnancies and births reported during the study. Among 84 participants with missing or incomplete reproductive history, 56 were contacted and provided information on pregnancies from 1987 to 1997: 52 were never pregnant, 4 had been pregnant but had no births, and 1 had given birth. Of 223 participants who reported pregnancies but no births, 185 confirmed that they had been pregnant and 1 reported that she had given birth. Among 387 girls who had given birth, we abstracted pregnancy medical records for 1 or more deliveries during NGHS for 345 participants. Some participants may have been reluctant to disclose pregnancies during adolescence, but we were able to confirm previous pregnancies by querying participants when they were in their 20s. These pregnancy data from the interviews and medical records were combined with existing data to determine reproductive history during NGHS.

For this analysis, we selected 1890 girls who attended a visit in the ninth or tenth year of the study and had complete data on growth as well as pregnancies (79% of the original NGHS cohort). This sample included 395 (309 black and 86 white) girls with 1 or more births, 196 girls with 1 or more pregnancies and no births, and 1299 girls who were never pregnant during the 10-year study period. Subjects not included were similar in age and BMI at baseline to those included, but were more likely to be black and their parents' were more likely to have a high school education or less and lower family income (P < .001).

OUTCOME MEASURE AND MAIN EXPOSURE
Growth and Adiposity

Anthropometric measurements, including weight, height, and skinfold thickness, were obtained from all participants at baseline (1987-1988) and annually during the 10-year follow-up as previously described.16 Waist and hip circumferences were measured annually starting with the second study visit in 1988-1989. Weight and height measurements were used to calculate BMI (weight in kilograms divided by height in meters squared). Weight was measured to the nearest 0.1 kg with calibrated electronic scales, with the participant wearing only a paper hospital gown or a large NGHS standard t-shirt. Two weight measurements were obtained and a third was taken if the first 2 differed by more than 0.3 kg. Height was measured in duplicate to the nearest 0.1 cm with the participant in socks, using custom-made portable stadiometers. A third measurement was taken if the first 2 were more than 0.5 cm apart. Waist and hip circumferences were measured to the nearest 0.1 cm. The waist was measured at the umbilicus or the narrowest point between the rib cage and the iliac crest after normal expiration, and hip circumference was measured at the maximal circumference below the waist. A third measurement was taken if the first 2 differed by more than 1 cm. Certified personnel measured skinfolds (triceps, subscapular, and suprailiac) in duplicate to the nearest millimeter on the right side of the participant using a caliper. A third set of measurements were taken if the first 2 differed by 1.0 mm or more. The sum of the subscapular and triceps skinfolds was used to estimate percent body fat using an equation based on race, pubertal stage, age, and interactions as described by Morrison et al.20 The average of the 2 measurements or the closest 2 of 3 measurements were used for the analysis. Waist to hip ratio (WHR) was calculated as waist circumference divided by hip circumference. Waist circumference and WHR were examined as measures of central obesity.

Pregnancy Group

Girls were asked if they had ever been pregnant or were currently pregnant, the number of times they had been pregnant, and the number of births they had had from visit 6 (age, 14-15 years) through visit 10 (age, 18-19 years). Birth dates of their infants were collected starting at visit 6. A birth was defined as a live or still birth, an abortion, or a fetal death for any pregnancy that lasted 20 weeks or longer and occurred after the NGHS baseline examination and at least 4 months before the year 10 visit. A pregnancy that did not end in a birth was defined as any pregnancy that ended in a spontaneous or therapeutic abortion, ectopic or molar pregnancy, or miscarriage with less than 20 weeks' gestation after the NGHS baseline examination and at least 4 months before the year 10 visit. Ancillary studies conducted after 1998 collected data on the number of pregnancies and births.

Girls were classified into 1 of 4 pregnancy groups: 1 birth (primiparas); 2 or more births (multiparas); pregnant and 0 births (nulliparous gravidas); and never pregnant (nulligravidas). Among the parous girls, we calculated the age at their first birth based on the birth date of their first child or self-reported age at first birth and classified them as younger than 16 years or 16 years or older at first birth.

OTHER MEASURES
Age at Menarche and Hormonal Contraceptives

At annual examinations, girls were asked if they had started their menstrual cycles. Thus, age at menarche was determined from the girls' declaration. Questions about oral contraceptive use were asked annually since visit 3 (age, 11-12 years). Questions on Norplant (levonorgestrel; Leiras Oy Pharmaceuticals, Turku, Finland) and Depo-Provera (medroxyprogesterone; Pfizer, New York, New York) were added to the questionnaires at visits 9 and 10 (age, 17-19 years) when the contraceptive products came on the market. We categorized girls as never-users, past users, or current users of hormonal contraceptives for the last NGHS visit. Current users were classified by type of hormonal contraceptives, either oral or Norplant/Depo-Provera.

Demographic, Familial, and Lifestyle Attributes

Parents and guardians provided information on race, age, family composition, maximum parental education, employment status, and household income at the baseline examination. Girls provided information on dietary intake and physical activity patterns on an annual basis. Methods for collecting dietary intake and physical activity information were validated using actual observed eating and activity behavior and have been previously described.21 Briefly, the 3-day food record was selected since it was found to be more accurate than 24-hour recall or 5-day food-frequency methodologies.22 The Nutrition Coordinating Center at the University of Minnesota coded the food records, including number of meals and snacks, and analyzed them for nutrients using version 11 of the Nutrition Coordinating Center nutrient database. A description of this database and methodologies used to determine sources of nutrients and frequency of nutrient update are described elsewhere.16 The nutrition questionnaire also asked girls to report their frequency of eating fast food and dieting to lose weight.

Physical activity was self-reported from the questionnaire and a 3-day diary. The first method measured each girl's perception of her activity level. The participants were asked to respond to the statement, “I am physically active, that means I get lots of exercise,” by choosing 1 of 3 responses: “never or almost never,” “sometimes,” or “usually or always.” Self-perception of physical activity responses were dichotomized, with the “never or almost never” response as the reference group, and the “sometimes” and “usually or always” responses combined to form another group. To measure sedentary behavior, the girls were asked to report the number of hours of television or videos they watched per week. The methodology of collecting physical activity data and quantifying the scores has been previously described.23

STATISTICAL ANALYSIS

Preliminary analyses involved description of the baseline characteristics of the girls and their parents by race and by pregnancy group. χ2 Tests were used to assess associations of racial groups with baseline family demographic variables (education and income), study center, girl's age, pregnancy group, and hormonal contraceptive use. Multiple linear regression methods were used to assess differences in baseline characteristics (height, weight, BMI, waist circumference, hip circumference, WHR, percent body fat, age at menarche, dietary intake, and physical inactivity [hours per week spent watching television or videos]) by race and pregnancy groups. We also examined follow-up characteristics at age 18 to 19 years (height, weight, BMI, waist circumference, hip circumference, WHR, percent body fat, and age at menarche) by pregnancy groups within each race. Overall differences among these groups were evaluated by a comparison of mean values using F statistics from analysis of variance. Bivariate associations between baseline characteristics and each outcome were examined for each race group separately. Statistical significance was defined as P < .05 (2-sided). However, we selected a procedure-wise error rate of 5%, which resulted in defining statistical significance as P < .0165 for each pairwise comparison among the pregnancy groups.

Covariates that were evaluated as potential confounders based on a priori hypotheses included race, baseline measurements, age at menarche, parental education, household income, and lifestyle behaviors (baseline physical activity and dietary patterns). Covariates were not included as potential cofounders if the coefficients for 1 or more of the pregnancy groups were altered by less than 10% when the covariate was added to the model. Differences in mean changes in each anthropometric measure were examined in multiple linear regression models by age-at-first-birth groups (<16 or ≥16 years) for primiparas and multiparas combined. Effect modification by race within the pregnancy group associations for each measure was evaluated by introduction of appropriate cross-product terms into the models (significance was set at P < .10). Adjusted least-square means were obtained from race-specific linear regression models for all dependent variables.

At baseline, race groups differed significantly by family income, parental education, and anthropometric measurements (Table 1). Specifically, black girls came from households with lower incomes; were taller with higher body weights; had larger measures of waist circumference, hip circumference, and percent body fat; consumed more dietary fat; and watched more hours per week of television and/or videos. Black girls also reached menarche at an earlier age (Table 2). By the end of follow-up (age, 18-19 years), young black women were more likely to have been pregnant and given birth, to be past or current users of hormonal contraceptives, to be overweight or obese, to be more centrally obese, and to have higher percent body fat and BMIs than young white women (Table 2). Overall, 43% of black girls (n = 423) and 19% of white girls (n = 168) became pregnant during the study period, and of these, 73% of black girls (n = 309) and 51% of white girls (n = 86) gave birth. Black girls were more likely to bear more than 1 child during adolescence. There were 237 black primiparas (77%) and 72 black multiparas (23%) compared with 74 white primiparas (86%) and 12 white multiparas (14%).

Table Graphic Jump LocationTable 1. Baseline Characteristics and Age at Menarche by Race
Table Graphic Jump LocationTable 2. Pregnancy Groups, Hormonal Contraceptive Use, and Anthropometric Characteristics at Ages 18 to 19 Years by Race

Among white girls (Table 3), pregnancy groups were similar at baseline in mean height, body weight, BMI, waist circumference, hip circumference, and WHR. However, black girls who became pregnant but did not give birth (nulliparous gravidas) or who gave birth during adolescence (primiparas and multiparas) had lower BMI, body weight (P < .05), and percent body fat (P < .001) at age 9 to 10 years and smaller waist circumferences at age 10 to 11 years than black girls who did not become pregnant (nulligravidas). At the end of follow-up (age, 18-19 years), both primiparous and multiparous adolescent girls (black and white) were heavier, shorter in stature, more centrally obese, and had a higher percent body fat than nulligravidas (all P < .05), though height did not differ among pregnancy group in black girls (Table 3). White girls who became pregnant (gravidas and paras) reached menarche earlier (P < .001) than white nulligravidas (Table 3). In black girls, age at menarche did not differ by pregnancy group. Use of hormonal contraceptives at age 18 to 19 years was more likely in primiparas or multiparas than nulligravidas; 24% vs 9% were past users and 52% vs 25% were current users, respectively (P < .001).

Table Graphic Jump LocationTable 3. Unadjusted Baseline and Follow-up Characteristics Among Pregnancy Groups for White and Black Females

Overall, 28% of young white women and 49% of young black women were considered overweight or obese (BMI ≥ 25) at age 18 to 19 years (P < .001). Among adolescent pregnancy groups, 27% of white nulligravidas, 24% of nulliparous white gravidas, and 40% of white paras were overweight or obese at age 18 to 19 years (P = .02). Forty-seven percent of black nulligravidas, 36% of nulliparous black gravidas, and 57% of black paras were overweight or obese at age 18 to 19 years (P < .001).

Race-specific unadjusted and adjusted means for changes in growth and adiposity measures (from age 9-10 years to age 18-19 years) by pregnancy groups (Table 4) were similar in black and white girls, except for BMI, hip circumference, and percent body fat (race interaction, P < .10, all). Among black girls, primiparas and multiparas, respectively, group differences measured from age 9-10 years to 18-19 years included greater increments in body weight (3.6 and 6.0 kg), BMI (1.3 and 2.3), waist circumference (3.5 and 5.2 cm), hip circumference (2.1 and 4.0 cm), and percent body fat (3.4% and 4.6%); smaller decrements in WHR (0.019 and 0.023) (all P < .0165; for multiple comparisons); and similar height increments (0 and −0.3 cm) compared with nulligravidas. We found a trend for larger increments in anthropometric measurements with increasing number of births in black girls, but differences between primiparas and multiparas did not reach statistical significance.

Table Graphic Jump LocationTable 4. Multivariable-Adjusted Mean Changes in Anthropometric Measures Among Pregnancy Groups by Racea

Compared with white nulligravidas, gravida and nulliparous white girls had significantly smaller increments in body weight, BMI, hip circumference, and percent body fat (P < .01), and white primiparas had greater gains in mean waist circumference (2.4 cm) and percent body fat (0.9%) (P < .05). This did not reach statistical significance (P < .0165) when adjusted for multiple comparisons, but smaller decrements in WHR (0.017) were found in white primiparas relative to white nulligravidas (P < .01).

Within each race group, growth indices varied by age at first birth (Table 5). Compared with girls who gave birth after age 16 years, black parous girls (primiparas and multiparas combined) who gave birth before age 16 years had borderline greater increments in BMI (1.2; P = .08) and nonsignificant greater increments in body weight (2.9 kg) and percent body fat (2.0%) in adjusted models. No differences in changes in anthropometric measures were found among white girls, of whom only 12 girls aged younger than 16 years gave birth. There was no evidence of effect modification by race in the association of age at first birth with changes in anthropometric measures (all P > .10; except weight, P = .10). However, black girls who gave birth before age 16 years reached menarche earlier (11.6 vs 12.2 years, P < .01) than those who gave birth after age 16 years. Age at menarche did not differ in parous white girls (11.8 vs 12.0 years, P = .85).

Table Graphic Jump LocationTable 5. Multivariable-Adjusted Changes in Anthropometric Characteristics by Age at First Birtha

Our findings show that childbearing during adolescence is associated with greater deposition of overall and central adiposity, though there was little difference in attained stature in both races. The evidence in black girls was stronger than in white girls, presumably owing to fewer white girls becoming pregnant. Larger waist circumference and WHR were associated with 1 or more births vs no pregnancies in both races. Increments in body weight, body size, and percent body fat were greater for parous than never-pregnant black girls. These pregnancy differences were less apparent in white girls, though those who had a pregnancy but did not give birth were thinner. Initial BMI, percent body fat, and other anthropometric measures at ages 9 to 11 years were similar for white girls irrespective of adolescent pregnancies. However, black girls who gave birth were thinner and had lower overall and central adiposity at these ages than nulligravidas.

Pregnancy during adolescence may alter normal growth processes and increase the risk of becoming overweight or obese.5 Previous studies lacked a reference group of nongravid adolescent girls. Therefore, greater weight gain in adolescents compared with adults may partially reflect underlying secular trends and growth during adolescence. One study found that 74 pregnant Brazilian girls aged 15 to 19 years12 had greater weight gain (2 kg) and lower stature (−0.5 cm) than 390 nongravid girls. Our study found similar changes for white multiparas. However, black primiparas and multiparas, respectively, had greater gains in body weight (3.6 and 6.0 kg) and little difference in stature (0 and −0.3 cm) vs nulligravidas.

Despite being thinner at ages 9 to 10 years, parous black girls in our study accumulated more fat overall and centrally than nulligravidas at ages 18 to 19 years. These findings are consistent with prior studies that report that pregnant adolescents, particularly young, growing pregnant adolescents,11 tend to accrue more subcutaneous fat in central locations than adult women.5,6

The prevalence of overweight and obesity was greater at ages 18 to 19 years among girls in the NGHS who had previously given birth vs those who were never pregnant, an additional 13% of white girls and 11% of black girls. This finding is consistent with that of a previous study of pregnant adolescents that reported that prevalence of obesity increased from 5.7% before pregnancy to 15.7% at 6 months' post partum.24 In the United States in 1996, 17% of girls younger than 16 years and 25% of girls aged 16 to 19 years were overweight prior to pregnancy,25 compared with 13% of adolescent girls overall aged 12 to 17 years.26 We observed a trend for increasing adiposity with the number of births. This may be related to initiation of childbearing at a young age, rather than cumulative effects of births. We found some evidence of a greater increment in BMI associated with giving birth before age 16 years (P = .08) vs at age 16 years or older, even after adjusting for differences in age at menarche among black girls. Younger age at first birth may influence gains in body size and differences in fat distribution because of younger age at menarche, which may have been a factor in the larger gains in adiposity observed in black girls who became pregnant during adolescence. Differences in physical maturation and the overall pattern of growth have been reported between black and white adolescent girls.17,27 Black girls reach menarche earlier and have greater peak velocities and smaller growth increments in late adolescence than white girls.17 Pregnancy-related gains in adiposity appear to be greater for adolescents than in adult women. In a 10-year follow-up, the Coronary Artery Risk Development in Young Adults Study observed 1-kg and 2-cm greater increases in weight and waist circumference, respectively, in primiparas compared with nulliparas (black and white) who were not overweight before pregnancy.2 Among white women aged 25 to 45 years in the National Health and Nutrition Examination Survey Epidemiologic Follow-up Study, a 1-kg greater weight gain was associated with 1 birth compared with no births during the 10-year study period.4 The Black Women's Health Study prospectively examined childbearing and weight gain during 4 years of follow-up and found that primiparas gained 1 kg more than nulliparas.28 These studies in adult women indicate that modest parity-associated weight gain occurs primarily after the first birth and is not cumulative with the number of births.

Limitations of this study include the small number of white girls who became pregnant and had births, variable time intervals from enrollment until the deliveries, earlier maturation among white girls, and the tendency of taller stature in black girls who became pregnant. We adjusted for age at menarche, baseline measurements, and other covariates to minimize these differences, but they may still be influential. Dietary intake had little impact on our findings. Another limitation is the potential underreporting of pregnancies that ended in miscarriage or abortions during adolescence, which would bias our findings in black girls toward the null.

This study has several strengths, including the large, community-based sample of adolescent girls, with an internal comparison group of never-pregnant girls, to evaluate the direct effects of pregnancy on adolescent growth independent of secular trends and maturation (age at menarche) and prospectively collected data relying on anthropometric indices measured before and after pregnancies. Our findings are potentially important because adolescence has been identified as one of the critical periods of development that set the stage for the onset of obesity later in life.29 Continued slow growth in stature has been observed for American girls through age 18 years in longitudinal studies of incremental growth.27,30 At least 50% of white adolescent girls have not attained adult height by the chronological age of 17 years.30 Prospective studies have found that adiposity gains during adolescence may be associated with a greater risk of overweight and obesity in adulthood.31,32 For the adolescent female, maturation is accompanied by body fat mass increases of 17% to 24% as well as changes in the location of fat stores.33 The excessive fat deposition during adolescence may signal the onset and persistence of obesity34 and elevated insulin, lipid, and blood pressure levels into young adulthood.35 Earlier age at a first birth (<20 years) has been associated with increased rates of coronary heart disease in women.36 Thus, the influence of gestational weight gain on changes in growth and adiposity during adolescence is an important aspect for future investigation.

Correspondence: Erica P. Gunderson, PhD, Division of Research, Kaiser Permanente, 2000 Broadway, Oakland, CA 94612 (erica.gunderson@kp.org).

Accepted for Publication: October 15, 2008.

Author Contributions:Study concept and design: Gunderson, Striegel-Moore, Schreiber, Biro, Daniels, and Crawford. Acquisition of data: Schreiber, Biro, Daniels, and Crawford. Analysis and interpretation of data: Gunderson, Schreiber, Hudes, and Biro. Drafting of the manuscript: Gunderson, Schreiber, Hudes, and Biro. Critical revision of the manuscript for important intellectual content: Gunderson, Striegel-Moore, Schreiber, Hudes, Daniels, and Crawford. Statistical analysis: Schreiber and Hudes. Obtained funding: Gunderson, Schreiber, and Crawford. Administrative, technical, and material support: Striegel-Moore and Biro. Study supervision: Crawford.

Financial Disclosure: None reported.

Funding/Support: This research was supported by grants N01-HC-55023-26 from the National Heart, Lung and Blood Institute, R01 HD39304 from the National Institute of Child Health and Human Development, and K12 AR47659 from the Office of Research on Women's Health, Building Interdisciplinary Research Careers in Women's Health; and by Career Development Award K01 DK059944 from the National Institute of Diabetes, Digestive and Kidney Diseases.

Gunderson  EPLewis  CEMurtaugh  MAQuesenberry  CPSmith  WDSidney  S Long-term plasma lipid changes associated with a first birth: the Coronary Artery Risk Development in Young Adults study. Am J Epidemiol 2004;159 (11) 1028- 1039
PubMed Link to Article
Gunderson  EPMurtaugh  MALewis  CEQuesenberry  CPWest  DSSidney  S Excess gains in weight and waist circumference associated with childbearing: The Coronary Artery Risk Development in Young Adults Study (CARDIA). Int J Obes Relat Metab Disord 2004;28 (4) 525- 535
PubMed Link to Article
Gunderson  EPQuesenberry  CP  JrLewis  CE  et al.  Development of overweight associated with childbearing depends on smoking habit: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Obes Res 2004;12 (12) 2041- 2053
PubMed Link to Article
Williamson  DFMadans  JPamuk  EFlegal  KMKendrick  JSSerdula  MK A prospective study of childbearing and 10-year weight gain in US white women 25 to 45 years of age. Int J Obes Relat Metab Disord 1994;18 (8) 561- 569
PubMed
Hediger  MLScholl  TOSchall  JI Implications of the Camden Study of adolescent pregnancy: interactions among maternal growth, nutritional status, and body composition. Ann N Y Acad Sci 1997;817281- 291
PubMed Link to Article
Scholl  TOHediger  ML Weight gain, nutrition, and pregnancy outcome: findings from the Camden study of teenage and minority gravidas. Semin Perinatol 1995;19 (3) 171- 181
PubMed Link to Article
Johnston  EM Weight changes during pregnancy and the postpartum period. Prog Food Nutr Sci 1991;15 (3) 117- 157
PubMed
Scholl  TOHediger  ML A review of the epidemiology of nutrition and adolescent pregnancy: maternal growth during pregnancy and its effect on the fetus. J Am Coll Nutr 1993;12 (2) 101- 107
PubMed Link to Article
Segel  JS McAnarney  ER Adolescent pregnancy and subsequent obesity in African-American girls. J Adolesc Health 1994;15 (6) 491- 494
PubMed Link to Article
Herman  AAYu  KF Adolescent age at first pregnancy and subsequent obesity. Paediatr Perinat Epidemiol 1997;11 ((suppl 1)) 130- 141
PubMed Link to Article
Scholl  TOHediger  MLSchall  JIKhoo  CSFischer  RL Maternal growth during pregnancy and the competition for nutrients. Am J Clin Nutr 1994;60 (2) 183- 188
PubMed
Gigante  DPRasmussen  KMVictora  CG Pregnancy increases BMI in adolescents of a population-based birth cohort. J Nutr 2005;135 (1) 74- 80
PubMed
Loris  PDewey  KGPoirier-Brode  K Weight gain and dietary intake of pregnant teenagers. J Am Diet Assoc 1985;85 (10) 1296- 1305
PubMed
Endres  JMPoell-Odenwald  KSawicki  MWelch  P Dietary assessment of pregnant adolescents participating in a supplemental-food program. J Reprod Med 1985;30 (1) 10- 17
PubMed
Gunderson  EPAbrams  BSelvin  S The relative importance of gestational gain and maternal characteristics associated with the risk of becoming overweight after pregnancy. Int J Obes Relat Metab Disord 2000;24 (12) 1660- 1668
PubMed Link to Article
 Obesity and cardiovascular disease risk factors in black and white girls: the NHLBI Growth and Health Study. Am J Public Health 1992;82 (12) 1613- 1620
PubMed Link to Article
Morrison  JABarton  BBiro  FSprecher  DFalkner  FObarzanek  E Sexual maturation and obesity in 9 and 10 year old black and white girls: The National Heart, Lung, and Blood Institute Growth and Health Study. J Pediatr 1994;124 (6) 889- 895
PubMed Link to Article
McNutt  SWHu  YSchreiber  GBCrawford  PBObarzanek  EMellin  L A longitudinal study of the dietary practices of black and white girls 9 and 10 years old at enrollment: the NHLBI Growth and Health Study. J Adolesc Health 1997;20 (1) 27- 37
PubMed Link to Article
Franko  DLThompson  DBarton  BA  et al.  Prevalence and comorbidity of major depressive disorder in young black and white women. J Psychiatr Res 2005;39 (3) 275- 283
PubMed Link to Article
Morrison  JABarton  BAObarzanek  E  et al.  Racial differences in the sums of skinfolds and percentage of body fat estimated from impedance in black and white girls, 9 to 19 years of age: the National Heart, Lung, and Blood Institute Growth and Health Study. Obes Res 2001;9 (5) 297- 305
PubMed Link to Article
Crawford  PBObarzanek  ESchreiber  GB  et al.  The effects of race, household income, and parental education on nutrient intakes of 9- and 10-year-old girls. NHLBI Growth and Health Study. Ann Epidemiol 1995;5 (5) 360- 368
PubMed Link to Article
Crawford  PBObarzanek  EMorrison  JSabry  ZI Comparative advantage of 3-day food records over 24-hour recall and 5-day food frequency validated by observation of 9- and 10-year-old girls. J Am Diet Assoc 1994;94 (6) 626- 630
PubMed Link to Article
Kimm  SYGlynn  NWKriska  AM  et al.  Longitudinal changes in physical activity in a biracial cohort during adolescence. Med Sci Sports Exerc 2000;32 (8) 1445- 1454
PubMed Link to Article
Scholl  TOHediger  MLSchall  JIAnces  IGSmith  WK Gestational weight gain, pregnancy outcome, and postpartum weight retention. Obstet Gynecol 1995;86 (3) 423- 427
PubMed Link to Article
Ventura  SJMosher  WDCurtin  SCAbma  JCHenshaw  S Trends in pregnancies and pregnancy rates by outcome: estimates for the United States 1976-96. Vital Health Stat 21 2000; (56) 1- 47
PubMed
Ogden  CLFlegal  KMCarroll  MDJohnson  CL Prevalence and trends in overweight among US children and adolescents, 1999-2000. JAMA 2002;288 (14) 1728- 1732
PubMed Link to Article
Berkey  CSDockery  DWWang  XWypij  DFerris  B  Jr Longitudinal height velocity standards for U.S. adolescents. Stat Med 1993;12 (3-4) 403- 414
PubMed Link to Article
Rosenberg  LPalmer  JRWise  LAHorton  NJKumanyika  SKAdams-Campbell  LL A prospective study of the effect of childbearing on weight gain in African-American women. Obes Res 2003;11 (12) 1526- 1535
PubMed Link to Article
Dietz  WH Periods of risk in childhood for the development of adult obesity: what do we need to learn? J Nutr 1997;127 (9) 1884S- 1886S
PubMed
Roche  AFDavila  GH Late adolescent growth in stature. Pediatrics 1972;50 (6) 874- 880
PubMed
Guo  SSHuang  CMaynard  LM  et al.  Body mass index during childhood, adolescence and young adulthood in relation to adult overweight and adiposity: the Fels Longitudinal Study. Int J Obes Relat Metab Disord 2000;24 (12) 1628- 1635
PubMed Link to Article
Siervogel  RMRoche  AFGuo  SMMukherjee  DChumlea  WC Patterns of change in weight/stature2 from 2 to 18 years: findings from long-term serial data for children in the Fels longitudinal growth study. Int J Obes 1991;15 (7) 479- 485
PubMed
Mueller  WH The changes with age of the anatomical distribution of fat. Soc Sci Med 1982;16 (2) 191- 196
PubMed Link to Article
Garn  SMLaVelle  MRosenberg  KRHawthorne  VM Maturational timing as a factor in female fatness and obesity. Am J Clin Nutr 1986;43 (6) 879- 883
PubMed
Sinaiko  ARDonahue  RPJacobs  DR  JrPrineas  RJ Relation of weight and rate of increase in weight during childhood and adolescence to body size, blood pressure, fasting insulin, and lipids in young adults: The Minneapolis Children's Blood Pressure Study. Circulation 1999;99 (11) 1471- 1476
PubMed Link to Article
Ness  RBSchotland  HMFlegal  KMShofer  FS Reproductive history and coronary heart disease risk in women. Epidemiol Rev 1994;16 (2) 298- 314
PubMed

Figures

Tables

Table Graphic Jump LocationTable 1. Baseline Characteristics and Age at Menarche by Race
Table Graphic Jump LocationTable 2. Pregnancy Groups, Hormonal Contraceptive Use, and Anthropometric Characteristics at Ages 18 to 19 Years by Race
Table Graphic Jump LocationTable 3. Unadjusted Baseline and Follow-up Characteristics Among Pregnancy Groups for White and Black Females
Table Graphic Jump LocationTable 4. Multivariable-Adjusted Mean Changes in Anthropometric Measures Among Pregnancy Groups by Racea
Table Graphic Jump LocationTable 5. Multivariable-Adjusted Changes in Anthropometric Characteristics by Age at First Birtha

References

Gunderson  EPLewis  CEMurtaugh  MAQuesenberry  CPSmith  WDSidney  S Long-term plasma lipid changes associated with a first birth: the Coronary Artery Risk Development in Young Adults study. Am J Epidemiol 2004;159 (11) 1028- 1039
PubMed Link to Article
Gunderson  EPMurtaugh  MALewis  CEQuesenberry  CPWest  DSSidney  S Excess gains in weight and waist circumference associated with childbearing: The Coronary Artery Risk Development in Young Adults Study (CARDIA). Int J Obes Relat Metab Disord 2004;28 (4) 525- 535
PubMed Link to Article
Gunderson  EPQuesenberry  CP  JrLewis  CE  et al.  Development of overweight associated with childbearing depends on smoking habit: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Obes Res 2004;12 (12) 2041- 2053
PubMed Link to Article
Williamson  DFMadans  JPamuk  EFlegal  KMKendrick  JSSerdula  MK A prospective study of childbearing and 10-year weight gain in US white women 25 to 45 years of age. Int J Obes Relat Metab Disord 1994;18 (8) 561- 569
PubMed
Hediger  MLScholl  TOSchall  JI Implications of the Camden Study of adolescent pregnancy: interactions among maternal growth, nutritional status, and body composition. Ann N Y Acad Sci 1997;817281- 291
PubMed Link to Article
Scholl  TOHediger  ML Weight gain, nutrition, and pregnancy outcome: findings from the Camden study of teenage and minority gravidas. Semin Perinatol 1995;19 (3) 171- 181
PubMed Link to Article
Johnston  EM Weight changes during pregnancy and the postpartum period. Prog Food Nutr Sci 1991;15 (3) 117- 157
PubMed
Scholl  TOHediger  ML A review of the epidemiology of nutrition and adolescent pregnancy: maternal growth during pregnancy and its effect on the fetus. J Am Coll Nutr 1993;12 (2) 101- 107
PubMed Link to Article
Segel  JS McAnarney  ER Adolescent pregnancy and subsequent obesity in African-American girls. J Adolesc Health 1994;15 (6) 491- 494
PubMed Link to Article
Herman  AAYu  KF Adolescent age at first pregnancy and subsequent obesity. Paediatr Perinat Epidemiol 1997;11 ((suppl 1)) 130- 141
PubMed Link to Article
Scholl  TOHediger  MLSchall  JIKhoo  CSFischer  RL Maternal growth during pregnancy and the competition for nutrients. Am J Clin Nutr 1994;60 (2) 183- 188
PubMed
Gigante  DPRasmussen  KMVictora  CG Pregnancy increases BMI in adolescents of a population-based birth cohort. J Nutr 2005;135 (1) 74- 80
PubMed
Loris  PDewey  KGPoirier-Brode  K Weight gain and dietary intake of pregnant teenagers. J Am Diet Assoc 1985;85 (10) 1296- 1305
PubMed
Endres  JMPoell-Odenwald  KSawicki  MWelch  P Dietary assessment of pregnant adolescents participating in a supplemental-food program. J Reprod Med 1985;30 (1) 10- 17
PubMed
Gunderson  EPAbrams  BSelvin  S The relative importance of gestational gain and maternal characteristics associated with the risk of becoming overweight after pregnancy. Int J Obes Relat Metab Disord 2000;24 (12) 1660- 1668
PubMed Link to Article
 Obesity and cardiovascular disease risk factors in black and white girls: the NHLBI Growth and Health Study. Am J Public Health 1992;82 (12) 1613- 1620
PubMed Link to Article
Morrison  JABarton  BBiro  FSprecher  DFalkner  FObarzanek  E Sexual maturation and obesity in 9 and 10 year old black and white girls: The National Heart, Lung, and Blood Institute Growth and Health Study. J Pediatr 1994;124 (6) 889- 895
PubMed Link to Article
McNutt  SWHu  YSchreiber  GBCrawford  PBObarzanek  EMellin  L A longitudinal study of the dietary practices of black and white girls 9 and 10 years old at enrollment: the NHLBI Growth and Health Study. J Adolesc Health 1997;20 (1) 27- 37
PubMed Link to Article
Franko  DLThompson  DBarton  BA  et al.  Prevalence and comorbidity of major depressive disorder in young black and white women. J Psychiatr Res 2005;39 (3) 275- 283
PubMed Link to Article
Morrison  JABarton  BAObarzanek  E  et al.  Racial differences in the sums of skinfolds and percentage of body fat estimated from impedance in black and white girls, 9 to 19 years of age: the National Heart, Lung, and Blood Institute Growth and Health Study. Obes Res 2001;9 (5) 297- 305
PubMed Link to Article
Crawford  PBObarzanek  ESchreiber  GB  et al.  The effects of race, household income, and parental education on nutrient intakes of 9- and 10-year-old girls. NHLBI Growth and Health Study. Ann Epidemiol 1995;5 (5) 360- 368
PubMed Link to Article
Crawford  PBObarzanek  EMorrison  JSabry  ZI Comparative advantage of 3-day food records over 24-hour recall and 5-day food frequency validated by observation of 9- and 10-year-old girls. J Am Diet Assoc 1994;94 (6) 626- 630
PubMed Link to Article
Kimm  SYGlynn  NWKriska  AM  et al.  Longitudinal changes in physical activity in a biracial cohort during adolescence. Med Sci Sports Exerc 2000;32 (8) 1445- 1454
PubMed Link to Article
Scholl  TOHediger  MLSchall  JIAnces  IGSmith  WK Gestational weight gain, pregnancy outcome, and postpartum weight retention. Obstet Gynecol 1995;86 (3) 423- 427
PubMed Link to Article
Ventura  SJMosher  WDCurtin  SCAbma  JCHenshaw  S Trends in pregnancies and pregnancy rates by outcome: estimates for the United States 1976-96. Vital Health Stat 21 2000; (56) 1- 47
PubMed
Ogden  CLFlegal  KMCarroll  MDJohnson  CL Prevalence and trends in overweight among US children and adolescents, 1999-2000. JAMA 2002;288 (14) 1728- 1732
PubMed Link to Article
Berkey  CSDockery  DWWang  XWypij  DFerris  B  Jr Longitudinal height velocity standards for U.S. adolescents. Stat Med 1993;12 (3-4) 403- 414
PubMed Link to Article
Rosenberg  LPalmer  JRWise  LAHorton  NJKumanyika  SKAdams-Campbell  LL A prospective study of the effect of childbearing on weight gain in African-American women. Obes Res 2003;11 (12) 1526- 1535
PubMed Link to Article
Dietz  WH Periods of risk in childhood for the development of adult obesity: what do we need to learn? J Nutr 1997;127 (9) 1884S- 1886S
PubMed
Roche  AFDavila  GH Late adolescent growth in stature. Pediatrics 1972;50 (6) 874- 880
PubMed
Guo  SSHuang  CMaynard  LM  et al.  Body mass index during childhood, adolescence and young adulthood in relation to adult overweight and adiposity: the Fels Longitudinal Study. Int J Obes Relat Metab Disord 2000;24 (12) 1628- 1635
PubMed Link to Article
Siervogel  RMRoche  AFGuo  SMMukherjee  DChumlea  WC Patterns of change in weight/stature2 from 2 to 18 years: findings from long-term serial data for children in the Fels longitudinal growth study. Int J Obes 1991;15 (7) 479- 485
PubMed
Mueller  WH The changes with age of the anatomical distribution of fat. Soc Sci Med 1982;16 (2) 191- 196
PubMed Link to Article
Garn  SMLaVelle  MRosenberg  KRHawthorne  VM Maturational timing as a factor in female fatness and obesity. Am J Clin Nutr 1986;43 (6) 879- 883
PubMed
Sinaiko  ARDonahue  RPJacobs  DR  JrPrineas  RJ Relation of weight and rate of increase in weight during childhood and adolescence to body size, blood pressure, fasting insulin, and lipids in young adults: The Minneapolis Children's Blood Pressure Study. Circulation 1999;99 (11) 1471- 1476
PubMed Link to Article
Ness  RBSchotland  HMFlegal  KMShofer  FS Reproductive history and coronary heart disease risk in women. Epidemiol Rev 1994;16 (2) 298- 314
PubMed

Correspondence

CME
Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
Submit a Comment

Multimedia

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Collections
PubMed Articles