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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: Pediatr Obes. 2016 May 30;12(5):388–397. doi: 10.1111/ijpo.12155

Romantic, Sexual, and Sexual Risk Behaviors of Adolescent Females with Severe Obesity

Jennifer N Becnel 1, Meg H Zeller 2, Jennie G Noll 3, David B Sarwer 4, Jennifer Reiter-Purtill 2, Marc Michalsky 5, James Peugh 2, Frank M Biro 6, for the TeenView Study Group and in cooperation with Teen-LABS Consortium
PMCID: PMC6108433  NIHMSID: NIHMS985848  PMID: 27237983

Abstract

Background

There is an increasing adolescent population with severe obesity with impairments in social and romantic relationships that are seeking clinical weight management, including weight loss surgery (WLS).

Objective

To document romantic, sexual and sexual risk behaviors in a clinical sample of adolescent females with severe obesity (BMI > 40 kg/m2) compared to those of healthy weight (HW).

Methods

This multi-site study—an ancillary to a prospective longitudinal observational study documenting health in adolescents having WLS—presents pre-operative/baseline data from 108 females undergoing WLS, 68 severely obese seeking lifestyle intervention, and 118 of HW. Romantic and sexual risk behavior and birth control information sources were assessed using the Sexual Activities and Attitudes Questionnaire (SAAQ).

Results

Severely obese females reported engaging in fewer romantic and sexual behaviors compared to HW. Similar to HW, a subgroup (25%) of severely females were engaging in higher rates of sexual risk behaviors and reported pregnancies and sexually transmitted infections (STIs). A considerable number (28–44%) reported receiving no birth control information from physicians.

Conclusions

Discussion topics with the adolescent patient should extend beyond reproductive health needs (e.g., contraception, unintended pregnancies) to include guidance around navigating romantic and sexual health behaviors that are precursors to these outcomes.

Keywords: Severe Obesity, Sexual Behavior, Sexual Risk Behavior, Adolescents

Introduction

The prevalence of severe obesity (BMI 120% above the 95th percentile or BMI > 99th percentile for age and gender)(1) continues to rise (2). Weight loss surgery (WLS) is emerging as a safe and effective treatment for adolescent patients with severe obesity, although the majority of treatment-seekers may not consider or have access to it (3,4). Thus, there is an increasing adolescent population at considerable health risk in need of clinical care.

Adolescence is a known period when social relationships may include romantic experiences and involve greater intimacy and, for many, sexual activity. However, many adolescents with obesity show impairments in their social and romantic relationships. Relative to healthy weight (HW) adolescents, females with obesity are socially marginalized (5), considered less attractive by peers (6), less likely to date (7), and perceive themselves as less competent romantically (8). Epidemiological surveillance indicates adolescent females who are obese/severely obese are less likely to have engaged in sexual intercourse (7,9); however, when they do, it may be in risky ways, including more sexual partners, inconsistent condom use (10), and being five times more likely to engage in sexual intercourse after substance use (11). These risk behavior patterns suggest a heightened potential for negative sexual health outcomes (e.g., sexually transmitted infections [STIs], HIV, unintended pregnancy). Of further concern, one in three adolescents who are overweight/obese receive no sexual health information during their annual health visit, with any discussion lasting 36 seconds (12).

Understanding the romantic and sexual behaviors of adolescent females with severe obesity presenting in clinical weight management settings prior to WLS proves timely, particularly given the high prevalence of comorbid gynecologic health concerns (13) with obesity and associated comorbid conditions contraindicating some contraception options (i.e., hormonal; 14). WLS in adult females is also associated with a resolution of anovulatory status (i.e., improved fertility; 15). Thus, for all females of reproductive age undergoing WLS, whether adolescent (16) or adult (17), reliable contraception is critical to avoid unintended pregnancies.

The present aims were to document romantic, sexual and sexual risk behaviors and information sources for birth control in a clinical sample of adolescent females with severe obesity undergoing WLS or lifestyle modification. We examined (Aim 1) whether rates of romantic, sexual, and sexual risk behaviors (i.e., inconsistent birth control, HIV risk behavior) for these adolescent patients differed from a “normative” reference sample of adolescent females of HW, or between treatment types (WLS vs. lifestyle modification). Focusing specifically on those who were sexually active (i.e., had experienced sexual debut) we examined (Aim 2) whether sexual behavior and rates of sexual risk and sexual health outcomes (i.e., pregnancy, STIs) differed between groups. We also examined (Aim 3) whether self-reports of primary sources of information regarding birth control (e.g., physicians, mothers) varied by group (WLS, lifestyle modification, HW). Based on the aforementioned literature, we hypothesized that females with severe obesity would be less likely to engage in romantic and sexual behaviors and that those who have experienced sexual debut would have higher rates of HIV/sexual risk behaviors relative to females of HW. We anticipated no group differences between clinical groups. History of childhood maltreatment (1820), race/ethnicity (21) and age (2,22) are known to be associated with sexual risk behavior and obesity in the broader literature and were controlled for in analyses.

Methods

Study Design Overview

TeenView is an ancillary study to the Teen Longitudinal Assessment of Bariatric Surgery consortium (Teen-LABS; 23), a prospective longitudinal observational cohort study executed across 5 academic medical centers in the US to document the safety and efficacy of WLS in 242 adolescent patients (80.6% female, enrollment 2007–2011). TeenView recruited two cohorts (enrollment 2008–2011): 1) Teen-LABS participants (“WLS”), and 2) a demographically similar comparison cohort of adolescents with severe obesity seeking treatment in lifestyle modification programs across the 5 Teen-LABS sites (“SOComps”) to investigate psychosocial health and risk trajectories when adolescents with severe obesity do/do not undergo WLS. Study protocols were approved by the Institutional Review Board at each institution.

Participants

Current analyses utilized baseline/pre-operative data from TeenView adolescents who met the following eligibility criteria: 1) BMI > 40 kg/m2; 2) 13–18 years of age; 3) absence of special education services due to the high reading demand; 4) caregiver willing to participate; and 5) English-speaking. Of the 159 time-eligible Teen-LABS WLS participants, 14 declined and 4 were unable to participate in the study prior to WLS, leaving 141 (88.7% recruitment rate). For sibling pairs (n=2), the older sibling was excluded. For the present analyses, TeenView males (n=28) were also excluded, resulting in a final cohort of 108 WLS females.

SOComps were recruited from TeenView research registries of eligible youth within lifestyle change programs at Teen-LABS sites whose families agreed to be contacted for study enrollment if their adolescent was a demographic match (i.e., gender, race, +/− 6 months in age) to a TeenView WLS participant. Of 86 potential SOComps identified as demographic matches, 3 declined, resulting in a final sample of 83 SOComp adolescents (96.5% recruitment rate) including 68 SOComp females.

Adolescents of HW

A reference group of females of HW (N=118; >5th to less than the 85th percentile) was obtained from Wave II of the Female Adolescent Development Study (FADS), as provided by the third author (24) in order to have a “normative” sample of females to compare to females with severe obesity. FADS is a longitudinal study investigating the effects of childhood maltreatment on sexual development in adolescent females. The FADS study design (see Noll et al. 2013; 24) included a non-maltreated sample (N=173) recruited from an outpatient health center in a Midwestern pediatric hospital with a retention rate of 97.5% over the 4 years of follow-up. Given a history of childhood maltreatment is known to be associated with sexual risk behavior and obesity (18), a finding also confirmed and controlled for in the present sample (19), we identified a comparator sample from the non-maltreated group of HW status matched to the TeenView sample on key demographic characteristics of age and race.

Procedures

After obtaining informed assent/consent, heights and weights were measured using a standardized protocol by trained research staff. Participants independently completed the assessments. Participants were informed their responses were confidential, yet with limits if key safety items were endorsed and necessitated further follow up (e.g., danger to self/others, maltreatment).

Measures

Sexual Activities and Attitudes Questionnaire (SAAQ)

The SAAQ (18) is a self-report measure assessing voluntary romantic, sexual and sexual risk behaviors and sources of information regarding birth control. Adolescents indicated past year and lifetime rates of romantic (i.e., unsupervised dates, held hands, “romantic kissing,” “made-out”), sexual (i.e., private parts felt under clothing, oral sex, sexual intercourse), and sexual risk behaviors (i.e., sexual intercourse in a “one night stand”, without contraception, while drunk or high). Individual items were dichotomized (1 = engaged in the behavior with one or more partners; 0 = never engaged in the behavior).

For sub-sample of females reporting having experienced sexual debut, additional analyses were completed for the following: age at first sexual intercourse (12 years or younger; 21 years or older); lifetime number of sexual partners (1 = 1; 5 = more than 10); number of HIV/sexual risk behaviors (e.g., sex without a condom, sex with an IV drug user; sum of 11 items; 1 = yes, 0 = no); birth control consistency (i.e., hormonal contraception and/or condoms; 1 = never use birth control; 6 = every time I have sex I use birth control); condom during last sexual intercourse (1 = yes; 0 = no); hormonal contraception during last sexual intercourse (1 = yes; 0 = no); having been pregnant (1 = yes; 0 = no); and contracting any STI (chlamydia, gonorrhea, syphilis, genital warts, genital herpes, Hepatitis B or C; 1 = yes; 0 = no).

All respondents reported who had provided them with information regarding birth control, including a parent, sibling, friend, boyfriend, doctor, sexual health program, or on their own. Their perceptions regarding the effectiveness of the information (not very effective; very effective) were coded as no information received (0), yes but the information was not effective (1), and yes and it was effective (2).

Covariates

Child maltreatment was assessed by the 28-item Child Trauma Questionnaire (CTQ; 25) which asks respondents about “experiences they had growing up” (1 = never true; 5 = very often true). The minimum raw score of the moderate range was used (physical abuse ≥ 10, sexual abuse ≥ 8, emotional neglect ≥ 15, physical neglect ≥ 10) and a continuous value representing the number of CM domains for which a participant’s score was at or above the moderate cut point (range=0–4) was computed and dichotomized (0 = non-maltreated, 1 = maltreated). Age and race were self-reported using a demographic questionnaire during enrollment into Teen-LABS. BMI was computed (kg/m2) from measured height and weight. For descriptive purposes, BMI z-scores adjusted for age and gender were used for HW females; however, use of BMI z-scores is not a recommended metric for adolescents at the extreme tails of the BMI distribution (26). Thus, BMI was used for the severely obese groups.

Analyses

Mplus version 7 was utilized for all analyses (27). The study design (i.e., nesting of participants within data collection sites) was accounted for using specialized variable and analysis commands in Mplus to avoid Type-1 errors. Means and standard deviations or prevalences were calculated for all variables of interest. To address Aim 1, logistic regressions tested for differences in individual romantic, sexual and sexual risk behaviors between (a) each severely obese clinical group (WLS and SOComps) to HW females, and (b) WLS females to SOComps females. To address Aim 2, for sexually active females only, sexual risk behaviors, contraceptive use, pregnancy, and STIs were examined with linear or logistic regressions (when the response variables was continuous or binary, respectively) to test for differences between (a) females with severe obesity (WLS and SOComps) and HW females, and (b) WLS and SOComps females. To address the final aim, ordinal regression models were run examining group differences for sources of information. Models comparing both severely obese groups to HW females controlled for clinical site, race, age, and childhood maltreatment. Models comparing WLS and SOComp females controlled for BMI in addition to the aforementioned covariates.

Results

Sample Characteristics

Table 1 lists the demographic data for the WLS, SOComps, and HW females. Age was normally distributed [S=−0.30 (SE=0.18); K=−0.58 (SE=0.36)]. A t-test indicated that WLS females were older relative to SOComps females. BMI was non-normally distributed [S=1.12 (SE=0.23); K= 0.97 (SE=0.45)]. Given non-normality, a Wilcoxon rank sum test was completed and indicated that WLS females had significantly higher BMIs relate to SOComps. Thirty-five percent of SOComps females and 18% of WLS females had experienced childhood maltreatment which was marginally significant and thus, included as a covariate.

Table 1.

Demographic Characteristics for Healthy Weight, Severely Obese Comparisons (SOComps) and Weight Loss Surgery (WLS) females.

Healthy Weight SOComps WLS pa
Race
 White 53.4% 55.9% 63.0% <.001b
 Black 41.5% 41.2% 17.6%
 Other 5.1% 2.9% 19.4%
Age 16.34(1.06) 15.72(1.43) 16.96(1.39) 0.001
BMI 0.20(.65) z-scorec 46.47(5.82) 50.85(8.25) 0.001
Maltreatment -- 35% 18% 0.05

Note. Healthy weight sample was obtained from the non-maltreated females from the FADS study.

a

Comparisons are made between SOComps and WLS females. P-values are based on a t-test for age, a Wilcoxon Rank-Sum test for BMI due to its non-normal distribution, and Chi-Square tests for percentages.

b

Based on the comparison of White females versus females of other race/ethnicities

c

BMI z-score is standard measurement for adolescents; however, it is misleading at the extreme tails of the BMI distribution. For this reason, we use BMI for adolescent females with severe obesity and BMI z-score for females of HW (1).

In the primary analyses comparing both severely obese females with HW, age was a significant predictor. Older age was associated with a greater likelihood of engaging in romantic, sexual and sexual risk behaviors (Tables 24). No significant associations between race/ethnicity and these behaviors were identified. Maltreatment significantly predicted sexual and high risk sexual behaviors, indicating that experiencing maltreatment, the greater likelihood of engaging in sexual and high risk sexual behaviors, but not romantic behaviors.

Table 2.

Past Year and Life Time Prevalence Rates of Romantic, Sexual and High Risk Sexual Behavior.

Past Year Prevalence Rates

Healthy Weight SOComps WLS
n = 118 n = 68 n = 108

% % Unadjusted ORs Adjusted ORs 95% CI % Unadjusted ORs Adjusted ORs 95% CI

Romantic Behaviors
 Gone out on unsupervised dates 77.1 48.5 0.46* 0.43* 0.31–0.60 38.9 0.36* 0.35* 0.29–0.41
 Held hands 83.1 66.2 0.58* 0.54* 0.41–0.73 58.3 0.47* 0.45* 0.34–0.61
 Romantic kissing 79.7 60.3 0.56* 0.49* 0.35–0.68 46.3 0.40* 0.36* 0.37–0.47
 Making out 78.8 58.8 0.56* 0.50* 0.38–0.66 41.7 0.36* 0.34* 0.25–0.47
Sexual Behaviors
 Heavy petting 70.3 45.6 0.52* 0.46* 0.36–0.56 27.8 0.33* 0.30*, a 0.19–0.46
 Oral sex 53.4 32.4 0.58* 0.45* 0.39–0.52 20.4 0.40* 0.35* 0.26–0.46
 Sexual Intercourse 50.8 30.9 0.59* 0.49* 0.42–0.57 16.7 0.37* 0.33* 0.23–0.47
 Had vaginal and oral sex 41.5 27.9 0.69* 0.53* 0.43–0.66 14.8 0.44* 0.38* 0.27–0.52
High Risk Behavior
 One night stand 12.7 11.8 0.95 0.78 0.39–1.54 6.5 0.69 0.61 0.35–1.06
 Sex without contraception 41.5 17.6 0.49* 0.37* 0.29–0.47 8.3 0.31* 0.25* 0.15–0.41
 Sex while drunk or high 21.2 10.3 0.63* 0.28* 0.16–0.49 4.6 0.41* 0.22* 0.07–0.66
Lifetime Prevalence Rates

Healthy Weight SOComps WLS

% % Unadjusted ORs Adjusted ORs 95% CI % Unadjusted ORs Adjusted ORs 95% CI

Romantic Behaviors
 Gone out on unsupervised dates 81.4 52.9 0.44* 0.40* 0.26–0.60 46.3 0.37* 0.35* 0.28–0.45
 Held hands 89.8 72.1 0.50* 0.44* 0.28–0.70 62.0 0.38* 0.35* 0.26–0.47
 Romantic kissing 85.6 66.2 0.52* 0.47* 0.31–0.72 52.8 0.37* 0.35* 0.25–0.49
 Making out 82.2 61.8 0.54* 0.51* 0.37–0.69 45.4 0.35* 0.35* 0.24–0.49
Sexual Behaviors
 Heavy petting 72.9 47.1 0.51* 0.42* 0.31–0.59 33.4 0.35* 0.32* 0.18–0.57
 Oral sex 60.2 33.8 0.51* 0.42* 0.35–0.50 20.4 0.35* 0.31*, a 0.23–0.43
 Sexual Intercourse 59.3 35.3 0.54* 0.46* 0.42–0.50 21.3 0.36* 0.32*, a 0.22–0.48
 Had vaginal and oral sex 50.8 27.9 0.55* 0.47* 0.38–0.57 16.6 0.37* 0.34* 0.25–0.48
High Risk Behavior
 One night stand 21.2 20.6 0.98 0.78 0.60–1.01 11.1 0.66* 0.57* 0.38–0.86
 Sex without contraception 43.2 17.6 0.47* 0.35* 0.25–0.49 8.3 0.30* 0.24*, a 0.17–0.35
 Sex while drunk or high 23.7 13.2 0.67* 0.40* 0.27–0.59 6.5 0.45* 0.32* 0.19–0.53

Note. All scores were dichotomized to reflect 0 = never engaging in the behavior and 1 = engaged in the behavior. Covariates included age, race and whether the adolescent had experienced any childhood maltreatment in the comparisons of the severely obese females to HW females. In the comparisons of the two severely obese females, BMI was added as an additional covariate.

*

significantly different ( p < .05) from Healthy Weight.

a

WLS significantly different (p<.05) from SOComps.

Table 4.

Sources of Information about Birth Control by Weight Status.

Healthy Weight SOComps WLS

No Yes but not effective Yes and effective No Yes but not effective Yes and effective B (SE) No Yes but not effective Yes and effective B (SE)

Doctor 29.7 10.2 60.2 44.1 8.8 47.1 −0.35(0.19) 28.7 10.2 61.1 0.02(0.24)
Mother 29.7 21.2 49.2 38.2 14.7 47.1 −0.15(0.13) 25.9 18.5 55.6 0.15(0.12)
Learn on own 39.1 20.3 41.5 45.6 16.2 38.2 −0.14(0.20) 32.4 20.4 47.2 0.15(0.16)
Sexual Education 27.1 24.6 48.3 41.2 16.2 42.6 −0.26(0.06)* 29.6 30.6 39.8 −0.15(0.08)
Friend 32.2 28.0 39.8 47.1 22.1 30.9 −0.32(0.17) 38.0 25.0 37.0 −0.11(0.04)*
Relative 66.1 10.2 23.7 64.7 19.1 16.2 −0.04(0.15) 63.0 9.3 27.8 0.08(0.15)
Sibling 72.0 11.9 16.1 77.9 10.3 11.8 −1.68(0.10) 72.2 5.6 22.2 0.05(0.08)
Boyfriend 69.5 11.0 19.5 75.0 11.8 13.2 −0.18(0.16) 81.5 4.6 13.9 −0.35(0.04)*
Father 83.9 6.8 9.3 85.3 8.8 5.9 −0.10(0.12) 86.1 8.3 5.6 −0.14(0.12)

Note.

*

Significantly different ( p < .05) from Healthy Weight. Covariates included age, race, and whether the adolescent had experienced any childhood maltreatment.

Past Year and Lifetime Rates of Romantic, Sexual, and Sexual Risk Behaviors

Prevalence rates, unadjusted and adjusted odds ratios (OR), and 95% confidence intervals (95% CI) for the adjusted ORs for past year and lifetime romantic, sexual and sexual risk behaviors for are presented in Table 2 by group (WLS, SOComps, HW). Relative to HW, both severely obese groups (WLS, SOComps) were less likely to have (e.g., past year or lifetime) engaged in romantic behaviors or sexual behaviors. With regard to sexual risk behaviors, both clinical groups were less likely to have had sex without contraception or engaged in sexual intercourse while using substances. Clinical groups were no more or less likely to have had a one night stand within the past year relative to HW, although females in the WLS group were significantly less likely to report one night stands in their lifetime than females of HW.

There were no significant differences between clinical groups (WLS vs. SOComps) in rates of romantic, sexual and sexual risk behaviors, with three exceptions. Relative to SOComps, WLS females were less likely to have engaged in heavy petting within the past year (OR=0.69; 95% CI=0.52–0.92), or to have ever engaged in oral sex (OR=0.74; 95% CI=0.58–0.94), sexual intercourse (OR=0.63; 95% CI=0.40–0.99) or sex without contraception (OR=0.32; 95% CI=0.19–0.53), with a trend for lifetime heavy petting (OR=0.74; 95% CI=0.54–1.00; p=0.052).

Sexual and Sexual Risk Behavior for Females who had Experienced Sexual Debut

Prevalence rates or means and standard deviations for sexual and sexual risk behaviors by group (WLS, SOComps, HW) for females who experienced sexual debut are presented in Table 3. WLS and SOComps females were similar to HW females in age at first sexual intercourse, years since sexual debut, HIV/sexual risk behaviors, and condom use during last sexual intercourse. However, relative to HW, WLS females had fewer sexual partners and were more likely to use birth control consistently, while SOComps females were less likely to use a hormonal form of birth control during last sexual intercourse.

Table 3.

Prevalence Rates, Means and Standard Deviations for Sexual and Sexual Risk Behaviors for Adolescents who Experienced Sexual Debut.

Healthy Weight SOComps WLS
n = 70 n = 24 n = 23

M (SD)/% B(SE)/OR (95% CI) M (SD)/% B(SE)/OR (95% CI)

Age at first intercourse 15.06(1.05) 14.48(1.61) −0.11(0.52) 15.15(1.66) 0.04(0.33)
Years since sexual debut 1.56(1.13) 1.52(1.63) 0.11(0.52) 1.70(1.21) −0.01(0.32)
Number of partnersa 2.38(1.18) 2.38(1.25) −0.03(0.47) 2.04(1.07) −0.47(0.13)*
HIV risk behaviorsb 2.87(1.86) 2.71(2.14) −0.59(0.36) 2.78(1.91) −0.59(0.41)
Birth Control Consistency c 3.77(2.22) 3.96(2.44) 0.43(0.46) 4.86(1.91) 1.16(0.25)*
% Condoms during last sexual intercourse 74.3 58.3 0.58(0.29–2.51) 69.6 1.09(0.63–1.88)
% Hormonal contraception d 65.7 33.3 0.38(0.18–0.79)* 60.9 0.87(0.58–1.29)
% who have been pregnant 15.7 0 -- 13.0 --
% reporting STIs e 28.6 0 -- 17.4e

Note. STIs = Sexually Transmitted Infections.

*

significantly different (p < .05) from Healthy Weight. Covariates included age, race and whether the adolescent had experienced any childhood maltreatment in the comparisons of the severely obese females to HW females. In the comparisons of the two severely obese females, BMI was added as an additional covariate.

a

Coded as 0=none; 1=1 partner; 2=2 to 3 partners; 3=4 to 7 partners; 4=8 to10 partners; 5=more than 10 partners.

b

Variable is the sum of 11 items (range 0–11).

c

Variables were scored from 1 = I never use birth control to 6 = for sure, every time I have sex I use birth control.

d

WLS significantly different (p<.05) from SOComps.

e

Results of the Fishers Exact Test showed significant difference between WLS and SOComps.

In comparing WLS and SOComps females, WLS females were more likely to use a hormonal contraception during last sexual intercourse compared to the SOComps females (OR=2.59; 95% CI=1.28–5.24). WLS females were also more likely to report having had an STI (n=4, p<.05; no HIV) and a separate group of WLS females (n=3) reported having been pregnant.

Sources of Information for Birth Control

The most common sources of information perceived as effective for all adolescent females included physicians, mothers, self-taught, sexual education programs, and friends (Table 4). There were few statistically significant differences between groups, although WLS females, relative to HW, were less likely to perceive receiving effective birth control information from friends (OR=0.89; 95% CI=0.82–0.97) and boyfriends (OR=0.70; 95% CI=0.64–0.76), while SOComps were less likely to obtain information from education programs (OR=0.76; 95% CI=0.68–0.86).

Discussion

The present study evaluated romantic, sexual and sexual risk behaviors in a clinical population of adolescent females with severe obesity seeking WLS or lifestyle modification. As hypothesized, these groups engaged in fewer romantic and sexual behaviors compared to females of HW. However, similar to females of HW, there was a subgroup (25%) of sexually active females with severe obesity engaging in sexual risk behaviors. Unexpectedly, there were several differences between clinical subgroups. Relative to the SOComps, WLS females were less likely to report having had sexual intercourse without contraception (e.g., condom or hormonal method during last sexual intercourse) or engaging in oral sex, in their lifetime. These findings may suggest relatively safer sexual practices, including more consistent use of contraception for the WLS group. However, WLS females also reported poorer sexual health outcomes, whereby 13% had a previous pregnancy (n=3), and a separate 17.4% (n=4) had an STI prior to surgery.

The American Academy of Pediatrics recommends physician-based guidance and education on sexual and reproductive health for all adolescents (28). However, consistent with the general literature (12), there were a considerable number (28–44%) of females with severe obesity who reported receiving no information about birth control from “their doctors.” While post-hoc analyses confirmed the majority (90%) of sexually active females reported receiving physician-based information, 1 in 4 females who had not yet experienced sexual debut reported they had not. Acknowledging both our reliance on patient perception/recall and that patient-provider agreement on what is discussed in a patient visit is not absolute, our finding may allude to weight bias in sexual health care. Thus, these data have clinical implications for pediatric surgical and non-surgical weight management programs. At a minimum, providers should be knowledgeable of adjunctive women/teen health referral sources.

The initial adolescent WLS outcome literature demonstrates that significant weight loss is associated with marked improvements in psychosocial functioning, including increased weight-related body-esteem, improved social relationships, and perceived romantic competence across the first two postoperative years (8). These positive outcomes imply that following WLS, adolescents likely have increased opportunities for engagement in age-normative romantic and sexual behaviors. Whether postoperative changes also include increased sexual risk taking is unknown. An initial single-site report from an adolescent WLS center reported a pregnancy rate higher than national averages for adolescents within the first two postoperative years (29), prompting adolescent guidelines regarding reliable contraception (16), including the acceptability of the intrauterine device (17). Given the present findings, discussions with adolescent patients should extend beyond reproductive health needs (e.g., contraception, unintended pregnancies) to guidance around sexual health behaviors that are precursors to these outcomes.

Strengths of the present study include the multi-site and controlled design and the comprehensive assessment of romantic, sexual and sexual risk behaviors. However, this study is not without limitations. First, data are cross-sectional and thus, the sequence of romantic and sexual behaviors for females with severe obesity is unknown. Second, anal intercourse, a sexual risk behavior on the rise, was not addressed in the SAAQ. Additionally, the sample sizes for severely obese, sexually active females were small, reducing statistical power. Consistent with the broader WLS trends, this WLS sample is predominantly of White race (30), with the comparison group enrollment targeted to be demographically similar limiting our ability to examine racial/ethnic differences. Finally, the present work focused exclusively on female patients, given their known gynecologic and reproductive health risks and the epidemiological data indicating greater sexual risk-taking (13).

Conclusion. Teen pregnancy and STIs/HIV are serious public health problems for all adolescents. While present findings indicated females with severe obesity, may be less romantically and sexually active than their healthy weight peers, many also lack adequate physician-based counseling and education. Further, those who are sexually active may be active in more risky ways. Provider discussion with this clinical population should address not only reproductive health but also guidance around navigating romantic and sexual health behaviors that are precursors to these outcomes. Further understanding of how romantic and sexual behaviors unfold over time for adolescent females following WLS within the context of improved weight status and well-being is critically needed to inform patient care.

What is already known about this subject

  • There is an increasing adolescent population with severe obesity with impairments in social and romantic relationships that are seeking clinical weight management, including weight loss surgery (WLS).

  • Adolescence is a known period when social relationships may include romantic experiences and involve greater intimacy and, for many, sexual activity, including risky sexual behaviors.

  • Adolescents with severe obesity are less likely to have experienced sexual debut, however, sexually active female adolescents may be engaging in higher rates of sexual risk behaviors and this has the potential to impact future reproductive health.

What this study adds

  • Utilizing a controlled observational design, rates of engagement in romantic and sexual behaviors for females with severe obesity were generally lower than females of healthy weight.

  • There was a subgroup (25%) of sexually active females with severe obesity who were exhibiting higher sexual health risks and consequences, and prior to WLS.

  • Clinical conversations with the adolescent female patient should extend beyond reproductive health needs (e.g., contraception, unintended pregnancies) to include guidance around navigating romantic and sexual health behaviors that are precursors to these negative outcomes.

Acknowledgments

Funding Source: This research was supported by a grant from the National Institutes of Health awarded to Dr. Zeller (R01DK080020).

Financial Disclosure: All authors were supported by a grant from the National Institutes of Health (R01DK080020; PI: Zeller, Ph.D.), with the exception of Dr. Becnel who was funded by a NIH training grant (T32DK063929).

Dr. Becnel conceptualized the study, executed data analyses and interpretation, drafted the initial manuscript, revised and reviewed the manuscript, and approved the final manuscript as submitted. Dr. Zeller obtained study funding, provided oversight of study execution, aided in conceptualization of the study, assisted with drafting the initial manuscript, reviewed and revised the manuscript, and approved the final manuscript as submitted. Dr. Noll provided data from the FADS study, assisted in conceptualization of the study, reviewed and revised the manuscript, and approved the final manuscript as submitted. Drs. Reiter-Purtill and Dr. Peugh assisted with data analysis and interpretation, reviewed and revised the manuscript, and approved the final manuscript as submitted. Dr. Biro assisted with conceptualization of the study, reviewed and revised the manuscript, and approved the final manuscript as submitted. Drs. Sarwer and Michalsky reviewed and revised the manuscript and approved the final manuscript as submitted.

The authors would like to acknowledge the contributions of additional TeenView Study Group Co-Investigators and staff. Cincinnati Children’s Hospital Medical Center: Faye Doland, BS, Ashley Morgenthal, BS, Shelley Kirk, PhD, Thomas H. Inge, MD, PhD; Texas Children’s Hospital, Baylor Medical Center: Margaret Callie Lee, MPH, David Allen, BS, Gia Washington, PhD, Beth Garland, PhD, Carmen Mikhail, PhD, Mary L. Brandt, MD; University of Pittsburgh Medical Center: Ronette Blake, BS, Nermeen El Nokali, PhD, Dana Rofey, PhD, Silva Arslanian, MD; Children’s Hospital of Alabama University of Alabama: Krishna Desai, MD, Amy Seay, PhD, Beverly Haynes, BSN, Heather Austin, PhD, Carroll Harmon, MD, PhD; Nationwide Children’s Hospital Medical Center: Melissa Ginn, BS, Kevin Smith, PhD, Amy Baughcum, PhD; Teen-LABS Data Coordinating Center: Michelle Starkey Christian, Jennifer Andringa, BS, Carolyn Powers, RD, Rachel Akers, MPH.

The authors would also like to acknowledge the significant contributions made by the parent Teen-LABS Consortium (U01DK072493; UM1DK0724931; PI: Inge, MD, PhD), the Teen-LABS Data Coordinating Center (UM1DK095710; PI: Ralph Buncher, ScD), and the NIDDK/Teen-LABS Project Scientist, Mary Horlick, MD.

Drs. Becnel and Reiter-Purtill had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Footnotes

Conflict of Interest

Dr. Michalsky has received research grant funding from Allergan Medical Corporation and serves as a proctor and speaker for Covidien. Dr. Sarwer serves as a consultant for BAROnova, EnteroMedics, and Ethicon-Endosurgery. All other authors have no conflict of interest to disclose.

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