Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Apr 1.
Published in final edited form as: Curr Cardiovasc Risk Rep. 2015 Feb 26;9(4):16. doi: 10.1007/s12170-015-0443-8

Recent Updates on the Efficacy of Group Based Treatments for Pediatric Obesity

Jacqueline F Hayes 1,, Myra Altman 1, Jackson H Coppock 1, Denise E Wilfley 1, Andrea B Goldschmidt 2
PMCID: PMC4389784  NIHMSID: NIHMS671784  PMID: 25866596

Abstract

Background

There is limited research on optimal treatment formats for childhood obesity. Group-based interventions are popular, but it is unclear whether outcomes can be obtained without an additional individual component.

Aim

To examine statistically and clinically significant outcomes of recent group-based and mixed-format (group + Individual) pediatric obesity interventions.

Methods

Effect sizes and magnitudes of weight change were calculated for studies published between January 2013 and September 2014.

Results

Approximately half of the group-based studies reviewed produced significant results compared to control, and effect sizes were small. Mixed-format studies were less likely to include a control group, but those that did evidenced medium to large effects. Magnitudes of weight change post-intervention were generally greater in mixed-format studies than group-only studies.

Conclusions

Recent studies in pediatric obesity interventions suggest including an individual component in a group-based intervention produces optimal outcomes. Future research should directly compare group-only and mixed formats to confirm this observation.

Keywords: pediatric obesity, group treatment, family-based treatment, treatment format, weight maintenance

Introduction

Rates of pediatric overweight and obesity have tripled in the US in the past 30 years, with nearly 17% of children and adolescents reported to be obese in 2011–2012 (1). Unhealthy weight gain is associated with a variety of medical comorbidities, including coronary heart disease, type 2 diabetes, and premature death (2) (3) (4) (5) (6) making pediatric obesity a serious public health problem.

Both prevention and treatment strategies are needed to curb the childhood obesity epidemic. Children with obesity are likely to become adults with obesity, and this risk increases with severity and older age in childhood (79). The U.S. Preventative Services Task Force (USPSTF) has recommended that children with obesity be referred to comprehensive, intensive behavioral interventions with weight loss treatment aims that result in absolute and/or relative decrease in Body Mass Index (BMI) (10). These interventions include diet, physical activity, and behavior modification components and, in early and middle childhood populations, parent involvement. Parents’ participation is vital for child weight loss due to their control of the home environment, ability to set rules to encourage healthy behaviors, and potential to model healthy habits. Research shows parent involvement leads to better weight outcomes than treatment of the child alone (11). This family-based approach to treatment has consistently demonstrated improvements in child weight outcomes at post-treatment and up to ten years thereafter (12).

Pediatric obesity interventions may utilize group and/or individual family formats, each of which has unique elements that may contribute to overall weight loss success. While existing reviews document the evidence base of childhood obesity interventions across different settings and modalities (13), little attention has specifically been given to intervention formats. Intervening with an individual family allows for tailoring of diet/physical activity recommendations and behavior modification strategies for each individual’s needs, preferences and capabilities, which is important considering the many causes and maintain factors contributing to increased weight (14). It also allows flexibility in scheduling, potentially increasing program adherence. However, while individual treatment maximizes contact, it requires considerable resources. Group treatment may be more pragmatic when considering dissemination, implementation, and ultimately access to care in the population (15). Furthermore, unique therapeutic factors, such as universality, altruism, imitative behavior, and interpersonal learning, are at work in group settings (16). Given the isolation, ostracism, and poor interpersonal relationships that children with overweight and obesity report, which have been tied to increased food intake and decreased physical activity, this population may benefit from a positive social environment that can facilitate socialization and enhance peer support and indeed research reinforces this notion (12, 1723). Yet, inherent to groups is the limited attention to individual needs, which may weaken outcomes.

Therefore, when considering treatment format, the challenge lies in meeting the unique needs of each individual child and/or family while providing peer support and group cohesion. A common approach is to supplement group sessions with shortened individual meetings to develop individualized strategies and skills (24, 25). This mixed format approach may harness the beneficial effects of both individual and group formats, potentially enhancing treatment outcomes. Thus, this review will examine the intervention designs and weight outcomes of recent studies assessing group-based childhood obesity treatments, evaluate the effects of group treatment with and without an individual component, and note gaps in literature.

The Current Review

This descriptive review outlines recent randomized trials on pediatric obesity behavioral group treatments from 2013–2014 [Tables 1 and 2]. Previous reviews have covered earlier time frames so this review was designed to cover recent updates. The review addresses age groups from early childhood through adolescence and focuses on treatments delivered in research, primary care, specialty outpatient, and community settings. PubMed and Google Scholar were searched with the terms “child”, “obesity”, “treatment”, “group format” alone or in combination. School-based programs (which are primarily public health interventions targeting all children in a school), and inpatient programs (which often fail to document time spent in each format and are less widely available) were not included. With those exclusions as well as exclusions of non-controlled trials, a total of 14 studies of group-only treatment studies (defined as little to no individual interaction with the interventionist) and eight studies of mixed format treatment (defined as group intervention with planned and structured individual meetings) were identified by the authors. The review will discuss effect sizes and magnitudes of change in post-treatment weight outcomes of group-only and mixed-format interventions separately and will then qualitatively compare the two formats to determine which maximizes outcomes for childhood overweight and obesity. It will conclude by identifying research priorities that would enhance our understanding of comparative outcomes of group and individual treatment format in childhood obesity.

Table 1.

Reviewed Studies Utilizing Group-Only Treatment Design

Citation N Ages Setting Groups Dose Length Post-treatment outcomes Change
Score
ES-B ES-W Follow-up outcomes
Controlled Studies
Berry et al., 2014 358 7–10 Community 1. FBT
2. Usual
Care/Waitlist
Control
1. 21 family group
sessions: 60m education +
45m PA
2. Monthly mailings
12mo Between-Group
1=2 for BMI percentile
1. −.62%
2. −1.49%
−0.04 1. 0.11
2. 0.15
Between-Group (18mo)
1=2 for BMI percentile
Bloom et al., 2013 45 6–12 Research
Institution
1. CAAT Program
2. Waitlist Control
1. 6 weekly 60m sessions
2. No active time
6w Between-Group
1>2 for BMI reductions
1. −0.63
2. 0.15
0.20 1. 0.16
2. −0.04
Between-Group
1=2 for BMI change
Bocca et al., 2013 75 3–5 Outpatient 1. BWL+F
2. Usual Care
1. 6 30m family group
sessions + 12 60m child
PA sessions + 6 120m
parent counseling sessions
2. 3 30–60m paediatrician
sessions
16w Between-Group
1>2 for zBMI reduction
1. −0.5
2. −0.3
0.20 1. 0.5
2. 0.31
Between-Group (36mo)
1=2 for zBMI
Boutelle et al., 2014 44 8–12 Research
Institution
1. Regulation of
Cues Program
2. Control
1. 14 105m sessions: 45m
separated groups + 30m
family groups
2. No active time
4mo Between-Group
1=2 for zBMI reductions
1=2 for % overweight
1. −0.13,
−7%
2. −0.04,
−0.41%
0.23 1. 0.3
2. 0.1
Between-Group (6mo)
1=2 for zBMI reductions
1=2 for percent
overweight
Davis et al., 2013 58 3rd-5th
grade
Child: In-person
Parents:
Telemedicine
1: BWL+F
2: Physician Visit
1. 8 weekly + 6 monthly
1hr separated group
sessions
2. 1 session
8mo Between-Group
1=2 for zBMI
Within-Group
Reduction in zBMI in 1 & 2
1. −0.12
2. −0.15
−0.06 1. 0.23
2. 0.29
Not Assessed
Esfarjani et al., 2013 156 7 Research
institution
1: BWL+F: PO
2: Wait-list
1. 12 4hr sessions
2. No active time
6mo Between-Group
1<2 for BMI gains (trend)
Within-Group
BMI increases over time in 1 & 2
1. 0.8
2. 1.3
0.24 1. −0.36
2. −0.66
Not Assessed
Hofsteenge et al., 2014 122 11–18 Outpatient:
Go4it
1. BWL+F
2. Dietician referral
1. 7 90m adolescent group
sessions + 4 booster
sessions
2. No specified time
6mo Between-Group
1=2 for BMI SDS reductions
1.−0.12
2. 0.02
0.3 1. 0.26
2. −0.04
Between-Group (18mo)
1>2 for BMI SDS
reductions
Lochrie et al., 2013 130 8–11 Outpatient 1: BWL+F
2: Education
control
1. 14 60–90m sessions
2. 1 60m session
6mo Between-Group
1 > 2 for zBMI reduction
Within-Group
zBMI reductions in 1 & 2
1. −.13
2. −0.03
0.31 1. 0.46
2. 0.11
Between-Group (12mo)
1 > 2 for zBMI reduction
Within-Group
zBMI reductions in 1 & 2
Martinez-Andrade et al., 2014 306 2–5 Primary
Care:
Creciendo
Sanos
1. BWL+F: PO
2. Usual Care
1. 6 2 hour sessions
2. No specified time
6w Between-Groups (3mo)
1=2 for zBMI
1. −0.16
2. −0.26
−0.13 1. 0.19
2. 0.35
Between-Groups (6mo)
1=2 for zBMI
Mazzeo et al., 2014 84 6–11 Outpatient 1. FBT: PO
2. Education
Control
1. 6 or 12 90m sessions
2. 1 session + 3 mailings
6 or 12w Between-Group
1>2 for BMI percentile reduction
1. −0.28%
2. −0
0.11 1. 0.11
2. 0
Follow-up (6m)
N/A due to attrition
Morgan et al., 2013 132 5–12 Community-
based
1: FBT
2: Wait-list
1. 7 weekly 90m sessions
2. No active time
7w Between-Group
1>2 for zBMI
1. −0.18
2. −0.08
0.10 1. 0.29
2. 0.11
Not Assessed
Active Intervention Comparison Studies
Kalarchian et al., 2013 18 8–12 Research
institution
1: FBT + menu
plans
2: FBT + menu
plans + meals
1 & 2. 8–9 weekly sessions 9w Between-Group
1=2 for BMI
Within-Group
BMI reduction in 1 & 2
1. −1.2
2. −1.8
NC 1. SRM:
0.8
2. SRM:
1.2
Not Assessed
Trost et al., 2013 75 8–12 Community-
based
1: BWL+ F
2: BWL+ F+ active
gaming console
1 & 2. 16 weekly 60m
family group sessions
16w Between-Groups
1<2 for % overweight reduction
1<2 for zBMI reduction
1. −5.5%,
−0.11
2. −10.9%,
−0.25
0.30 1. 0.38
2. 0.49
Not Assessed

ES-B, Between-Group Effect Size, ES-W, Within-Group Effect Size, BWL, Behavioral Weight Loss; BWL+F, Behavioral Weight Loss with Family Involvement; FBT, Family-based Behavioral Treatment; BMI, Body Mass Index; zBMI, Body Mass Index z-score; PA, Physical Activity; PO, Parent Only; NC, not calculated; SRM, Standard Responsiveness of the Mean; yr, year; mo, month; w, week; hr, hour; m, minute

Table 2.

Reviewed Studies Utilizing a Mixed-Format Design

Citation N Ages Setting Groups Dose Length Post-treatment
outcomes
Change
Score
ES-B ES-W Follow-up outcomes
Controlled Studies
Patrick et al., 2013 101 12–16 Research
Setting
1. BWL+F: Web-only
1
2: BWL+F: Web + group
3. BWL+F: Web +
SMS1
4: Usual Care
1, 2, & 3. tutorials + email
check-ins
2. Monthly 90 m. family
sessions and bimonthly
phone
3. 3+ SMS per week
4. 3 1 hr group
12mo Between-Group
1=2=3=4 for zBMI
change
1=2=3=4 for BMI
percentile
1. −0.1, −.9%
2. −0.2, −.7%
3. −0.1, −.8%
4. 0, −.5%
0.57 1. NC
2. 0.49
3. NC
4. 0
Not Assessed
Quattrin et al., 2014 96 2–5 Primary
Care
1. BWL+F: PO
2. Information
control
1 & 2. 13 60m parent
group sessions + 10
individual phone calls
12mo Between-Group
(12mo)
1>2 for zBMI reduction
1>2 for %OBMI
1. −0.45
2. −0.21
0.69 1. 1.3
2. 0.59
Between-Group
(24mo)
1>2 for zBMI reduction
1>2 for %OBMI
Stark et al., 20142 42 2–5 Outpatient:
LAUNCH
1. BWL+F: Clinic
2. BWL+F: Clinic +
Home
3: Pediatrician
counseling
1 & 2. 9 90 m separated
group sessions clinic
2. 9 60–90m individual
home sessions
3: 1 45m visit
6mo Between-Group
1=3 for zBMI reduction
2>3 for zBMI reduction
1. −0.25
2. −0.37
3. −0.07
1 vs. 3
= 0.3
2 vs. 3
= 1
1. 0.34
2. 1.19
3. 0.24
Between-Group
1>3 for zBMI reduction
2>3 for zBMI reduction
Active Intervention Comparison Studies
Berkowitz et al., 2013 169 12–16 Primary
care
1: FBT: group
2. FBT: self-help
1 & 2. 6 45m individual
family visits
1. 17 separated groups
12mo Between-Group
1=2 for zBMI
1. −0.12
2. −0.12
NC 1. NC
2. NC
Not Reported
Hystad et al., 2013 99 7–12 Outpatient 1. FBT: Therapist-
led group
2: FBT: Self-help group
1 & 2.15 2hr separated
group sessions + 10
individual family
24mo Between-Group
1=2 for zBMI reduction
Within-Group
Reduction in zBMI for
both groups
1. −0.22
2. −0.19
0.07 1. 0.41
2. 0.48
Between-Group
1=2 for zBMI reduction
Within-Group
Reduction in zBMI for
both groups
Kokkvoll et al., 2013 97 6–12 Outpatient
-based
with
community
extensions
1: BWL+F: Single
family intervention
2: BWL+F: Multiple-
family intervention
1. 8h
2. 36h
12mo Between-Group (3 mo)
1=2 for BMI SDS
change
1. −0.07
2. −0.16
0.15 1. 0.14
2. 0.3
Between-Group (12 mo)
1=2 for BMI SDS change
Mirza et al., 2013 113 7–15 Community
Clinic
1. FBT: Low
Glycemic Index
2: FBT: Low Fat Diet
1 & 2.12 weekly group
sessions, separate +
individual family sessions
3mo Between-Group
1=2 for zBMI reduction
Within-Group
Reduction in zBMI for
both groups
1. −0.13
2. −0.11
0.07 1. 0.36
2. 0.39
Between-Group (24mo)
1=2 for zBMI reduction
Within-Group
Reduction in zBMI for
both groups
Saelens et al., 2013 72 7–11 Research
institution
1: FBT
2: FBT +
motivational
interviewing
1 & 2. 20 weekly 20–30m
individual family sessions +
40m separated groups
21-22w Between-Group
1=2 for zBMI:
Within-Groups:
zBMI reduction in 1 & 2
1. −0.33
2. −0.34
0.03 1. 0.80
2. 0.83
Between-Group (2 yr)
1=2 for zBMI:
Within-Groups:
zBMI reduction in 1 & 2

ES-B, Between-Group Effect Size, ES-W, Within-Group Effect Size, BWL, Behavioral Weight Loss; BWL+F, Behavioral Weight Loss with Family Involvement; FBT, Family-based Behavioral Treatment; BMI, Body Mass Index; zBMI, Body Mass Index z-score; PA, Physical Activity; PO, Parent Only; NC, not calculated; yr, year; mo, month; w, week; hr, hour; m, minute

1

Condition not addressed in review

2

Condition BWL+F:Clinic discussed in group-only section, while BWL+F:Clinic + Home discussed in mixed-format section

Weight Outcomes

Measurement units for child weight vary across studies; however effect sizes are a way to standardize variable measurement units and allow for interpretation of the magnitude of weight change with the inclusion of variability for practical interpretation (26) and are therefore helpful for interpreting results. Outcomes in intervention studies are frequently reported as mean change in zBMI for each group. We considered these outcomes, and using Cohen’s d, converted them to measure of effect size using the formula d=(Mean Change1-Mean Change2)/((Baseline SD1+ Baseline SD2)/2) (26, 27). Between-groups effect sizes were computed for all studies. Effect sizes comparing an intervention group to a control group provide information regarding the overall effects of treatment, with a negative effect size demonstrating superiority of control, while effect sizes comparing two active interventions provide more information on which intervention produces greater effects. General guidelines for interpretation of effect sizes for comparisons of two groups propose an effect size of 0.2 as small, 0.5 as medium, and 0.8 as large (28). In addition, to provide a general understanding of impact of intervention, within-group effect sizes will be reported alongside the between-group effect sizes. The formula used for these effect sizes was similar, but employed pre- and post-treatment means and standard deviations within groups (26).

Weight outcomes should also be considered in terms of their clinical significance. In other words, regardless of statistical results, assessing whether change in weight has an impact on child health outcomes, which allows for qualitative interpretation of the usefulness of the intervention. While the literature is somewhat mixed on the weight loss necessary to produce clinically significant results in children, a loss of 0.25 zBMI points has been consistently tied to meaningful health changes, which continue to improve with additional weight loss, therefore this will be considered a threshold of clinical significance when interpreting study results (2932).

Group-Only Intervention Studies

Study descriptions

Positive results were found in five out of the twelve RCTs. Bocca et al. (2013) utilized a combination of family group sessions, as well as separate child physical activity sessions and group parent counseling sessions for a duration of 4 months in an early childhood population and found a change of −0.5 zBMI in the intervention group as well as significant decreases in zBMI of compared to control post-treatment, who lost 0.3 zBMI points (d=0.2) (33). Four of eight studies using a control condition in middle childhood populations demonstrated significant effects. Mazzeo et al. (2014) utilized a parent-only approach and found that 6 or 12 90-minute sessions (duration was adjusted during treatment) resulted in a loss of 0.28 BMI percentile points in the intervention group, which represented a small but significant decrease in BMI percentile compared to the control group, which did not experience any weight changes (d=0.11) (34). Lochrie et al. (2013) used 14 sessions across a longer time period (6 months) and found a reduction in zBMI of 0.13 in the intervention group, but a negligible loss of 0.03 zBMI points in the control group (d=0.31) (35). A unique approach by Morgan et al. (2013) which primarily targeted fathers’ weight, but had secondary aims to improve child lifestyle behaviors, also was successful in producing significantly improved zBMI weight outcomes (loss of 0.18 points) compared to a wait-list control group (loss of 0.08 points) (d=0.10) (36). Finally, in an effort to address eating in the absence of hunger (EAH), a behavior that is associated with binge eating (37), Bloom et al. (2013) assessed Child Appetite Awareness Training (CAAT), which focuses on attending to internal hunger and satiety cues (38) (39), and showed favorable child BMI changes (−0.63 BMI points) following intervention compared to the control group, which gained 0.15 BMI points (d=0.20); however, changes from baseline to 6-month follow-up were no longer significant (38).

Seven out of 12 RCTs did not produce statistically significant changes on child weight compared to control. Two early childhood interventions with 12 and 13.5 hours of contact time, respectively, failed to find weight outcomes different from controls (40, 41). Two studies in a middle childhood population met USPSTF dosage guidelines of more than 25 contact hours, but did not produce positive results compared to a control condition. In one study participants attended 21 family group sessions consisting of lifestyle modification training and physical activity across 12 months with a loss of 0.6 BMI percentile points in the intervention but no statistical difference compared to control (42) (d=−0.2) while in the other parents attended 12 four-hour sessions and results demonstrated an increase of 0.8 BMI points in children, which trended toward but did not reach significance compared to a wait-list control condition in which children gained an average of 1.3 BMI points (43) (d=0.24).

Another study utilized technology and created virtual telemedicine parent groups and in-person child groups. While the intervention group lost 0.12 zBMI points, weight loss was not significantly different from a doctor visit control, potentially demonstrating the importance of face-to-face treatments for the parent (d=--0.06) (44). Finally, another group treatment study targeting EAH combined CAAT and Cue Exposure Treatment (CET)(45), which focuses on monitoring and resisting food cravings resulting from exposure to food cues, produced an average loss of 0.13 zBMI points in the intervention group, but was unable to produce significant change compared to control (d=0.23) (39).

Adolescents have previously demonstrated blunted response to traditional treatments (46). This was also the case in the group-only study assessing the Go4it program, which did not find significant differences compared to a dietician referral control post-treatment (d=0.30, ΔzBMI=−0.12) (47). However, a modest but significant difference was found from control at follow-up, suggesting benefits may only be realized over a longer time period.

Two studies examined enhanced versions of FBT by using two experimental groups. Active video gaming, or exergaming, promotes peer socialization (particularly when engaged in cooperatively) (48) and was found to improve both physical activity and weight outcomes with a loss of 0.25 zBMI points compared to a group FBT control condition that lost 0.11 zBMI points (between-group d= 0.3; within-group d= 0.49 for FBT+exergaming and 0.38 for FBT only) (49). Incorporation of structured menu planning, which has been successful in adult samples, also shows promise with children in the context of group FBT, with the intervention group losing an average of 1.2 BMI points, although the inclusion of actual meals did not produce an additional statistically significant effect on weight loss 150).

Conclusions

Overall, twelve group-only intervention studies compared intervention to control and two studies compared two active interventions [Table 1]. Effect sizes of the studies that included a control group ranged from −0.17 to 0.31 with a median of 0.20, a small effect. Approximately half of these studies showed statistically superior results of group-only intervention compared to control.

Magnitude of weight change was measured using zBMI in seven studies. The average magnitudes of zBMI change within active interventions ranged from −0.11 to −0.50 with a median of −0.15, and changes within control groups ranged from 0.02 to −0.3, with a median of −0.075. Of these studies, three out of ten interventions were able to meet and/or surpass the threshold of .25 zBMI points demarcating clinical significance (49) (41, 51).

Three studies used BMI as the measurement unit and the average magnitudes of BMI change within active interventions ranged from 0.8 to −1.8, with a median of −0.91. Two of these three studies provided control groups, which evidenced average gains of 1.3 and 0.15 BMI points. Two studies used BMI percentile change with intervention magnitudes of −0.28% and −0.62% and control groups with BMI percentile changes of 0 and −1.49%, respectively. Considering the lack of literature related to clinically significant changes in BMI and BMI percentile in children, it is difficult to ascertain the clinical effects of those studies. One study did not report change in means (33).

Mixed Format Intervention Studies

Study descriptions

An intervention was compared to a control group in three studies, two of which produced significant beneficial results of intervention (41, 51). Stark et al. assessed an intervention with group-based clinic visits and individual home visits and found a weight loss of 0.37 zBMI points in preschool aged children, which was significantly greater than control (d=1)(41). Another intervention in the preschool population tested an active information control against an intervention that also included behavioral modification and parenting skills. Both conditions had weekly parent-only group sessions and individual phone calls, but the experimental condition produced weight outcomes of 0.45 zBMI points, which was significantly better than control (d=0.69) (51). However, null results were found in a mixed format intervention with adolescents. This web-based study compared a usual care condition to three internet interventions, one in which in-person groups and bimonthly telephone calls were also provided (52). While the group intervention produced reductions of 0.2 zBMI points and a medium effect size of 0.57 this was not sufficient to demonstrate change above and beyond usual care.

Many studies have replicated the finding that mixed format interventions result in significant child weight loss compared to control (53). Thus, recent research has moved beyond intervention to control comparisons and has begun to explore how mixed format interventions may be improved and/or supplemented to produce even better results by comparing two active interventions. An initial question may be whether the addition of the group sessions confers benefits above and beyond individual treatment. Kokkvoll compared an individual family intervention consisting of eight hours of individual contact to the same treatment supplemented with a group component that included an additional 28 hours of treatment (54). Results produced an effect size of 0.15 in favor of multifamily treatment, in which participants lost 0.16 zBMI points on average, but did not reach significance (p=0.068.)

Scaling of treatment is also an important consideration, as few individuals have access to evidence-based treatments (55). Self-help interventions require few or no trained personnel to implement the intervention. Berkowitz and colleagues initiated a family-based weight loss study with six individual sessions with a trained interventionist then randomized families to a self-help condition or a group treatment condition (56). Those in the self-help condition were given the treatment manual with instructions for parents and adolescents to complete lessons together on a weekly basis within the home, whereas those in the group condition returned to the clinic for 17 group sessions (separate parent and child groups). Results did not show a difference on weight outcomes among the groups, with a change in zBMI points of 0.12 in both the self-help and group conditions, suggesting group treatment may not provide benefits beyond those which may be achieved by family self-directed treatment2.

Hystad and colleagues assessed self-help within a group format, and parents were randomized to therapist-led group sessions or self-help group sessions (57). While both conditions also received 10 individual family sessions, the therapist-led group sessions followed a detailed treatment manual administered by two trained therapists whereas the self-help condition was based on the principle of mutual help with no therapist guidance. Participants in both conditions lost statistically significant amounts of weight (therapist: within-condition d=0.41, ΔzBMI=−0.22; self-help: within-condition d=0.48, ΔzBMI=−0.19), but were not significantly different from each other (between-condition d=0.07). Results suggest that mutual self-help in a group setting can be just as powerful as a therapist-led group treatment. While both Hystad et al. and Berkowitz et al. demonstrate the promise of self-help, contribution of the group format to change remains unclear as self-help within group format and individual family format were not directly compared. Additionally, it should be noted that the individual family sessions at treatment initiation also likely contributed to successful treatment outcomes of the self-help conditions.

Promotion of family self-efficacy and autonomy may also help to improve treatment response. Saelens and colleagues assessed this principle by comparing a traditional prescribed, mixed format, family-based treatment intervention with a focus on skills training and accountability for skills use by the interventionist to one that utilized the same format, materials, and concepts, but focused on activating goals and skills unique to each family with a motivational and autonomy-enhancing approach (25). Results showed meaningful weight change post-intervention in both groups, as they both lost approximately 0.33 zBMI points (within-group d=0.80 and 0.83), but did not show group differences for child zBMI or parent BMI change (between-group d=0.03), suggesting this approach may be a useful alternative to the standard interventionist-prescribed family-based treatment.

Finally, within-group changes of a mixed format study assessing diet recommendations found losses of 0.11 and 0.13 zBMI points in the intervention groups (low glycemic vs. low fat), which demonstrated within-group effect sizes of 0.39 and 0.36, respectively, but did not reach a magnitude of clinical significance. (58).

Conclusions

Three mixed-format studies compared intervention to control and five studies compared two active interventions. Effect sizes of those that included a control group ranged from 0.56 to 1.0, with a median of 0.69, demonstrating medium to large effects of intervention.

With regard to treatment response, all reviewed studies provided average magnitudes of change post-intervention and all used zBMI as at least one of the weight outcome measurements [Table 2]. The magnitudes of zBMI change within interventions ranged from −0.11 to −0.45 with a median of −0.2. Three studies provided control groups with zBMI change from 0 to −0.21 with a median of −0.07. Three of these studies provided four interventions that met clinically significant thresholds for zBMI and percent overweight. In early childhood populations, Stark et al. demonstrated losses of 0.37 zBMI points in the clinic and home visit condition and Quattrin found a zBMI reduction of 0.45 points (41) (51). In middle childhood, Saelens et al. reported clinically significant changes in magnitude of 0.33 and 0.34 zBMI points in both intervention groups (25). Thus, four out of twelve mixed format interventions were able to achieve a loss of more than .25 zBMI points.

Summary of Group-Only and Mixed Format Studies

Effect sizes

Within the studies sampled from 2013 and 2014 with a control group, the median effect of group-only treatments was 0.20, while the median effect of mixed-format was 0.69. While this is only representative of two years, it seems that mixed format intervention designs produce larger effect sizes on weight, on average, than group-only designs when compared to a control condition. If within-group effect sizes are considered, this also appears to be the case. Experimental groups of group-only studies in which means and standard deviations were reported (or able to be calculated) demonstrated a range of −0.36 (intervention group gained weight) to 0.50, with a median of 0.28, while experimental groups of mixed-format studies ranged from 0.30 to 1.33, with a median of 0.48; however, these must be considered with caution as effect sizes of control conditions were variable and in some cases, surprisingly high (−0.66 (weight gain) to 0.59, median: 0.18).

Weight change outcomes

Magnitudes of weight change were variable across studies; however, the median weight loss in the mixed-format studies was 0.2 zBMI points, but only 0.15 in group-only, suggesting greater losses in mixed-format. Additionally, a weight change of 0.25 zBMI units was reached in four out of 12 mixed-format studies and three out of 10 group-only studies, suggesting some interventions in both groups are producing clinically significant weight change.

Other Considerations

Given the diversity in weight outcomes, it is apparent that intervention format is not the only component of treatment that may influence results. Factors such as group size, dosage, modality, parent involvement, age of participants, and setting are important considerations when designing an effective treatment. While a full discussion of these treatment components is outside the scope of this review and may be found elsewhere (59), it is important to highlight that these also contribute to differential results in treatment studies.

Future Directions

While our findings suggest the superiority of mixed-format treatments compared to group-only treatments, concrete conclusions are difficult to draw due to the lack of direct comparison studies. One randomized-controlled trial demonstrated similar outcomes in group-only and mixed-format conditions (15); however, due to the small sample size, a replication study would be advantageous in interpreting results. Dismantling study designs may also prove helpful, as they would allow for isolation of the effect of supplemental individual meetings on treatment outcomes and may be utilized to examine the importance of social support from participating peers and nonparticipating family and friends in enhancing and maintaining participant weight loss. If intervention group support proved helpful, relationship building among group members could be actively targeted in treatment to improve outcomes. Patient moderating variables may also predict different responses to assorted treatment options (60). Assessing predictors of treatment format response would allow clinicians to prescribe treatment most beneficial to an individual.

Technology, the Internet and social-media may also prove useful for group treatment delivery, as they are low-cost and provide immediate feedback. In the context of group treatments, web- and mobile-technologies can serve to engage individuals in social networks remotely and can be used to encourage greater interaction among participants from in-person groups (61, 62) (63). Technology use has contributed to weight loss in adults (63) and increases peer-to-peer supportive interactions and perceptions of diet and exercise support and social interaction in adolescents (64). While telemedicine parent group meetings were unsuccessful in altering child weight status, a web-based individual intervention with an in-group component showed positive, albeit non-significant, effects (52) (44).

Conclusions

Rates of childhood overweight and obesity are alarming and more research is needed to determine the most effective treatments that have wide reach, relatively low cost, and meaningful impact on child weight and overall health. Group-based treatments seem promising as they allow for the inclusion of more individuals, require fewer resources (e.g., staffing, time, space), and promote social support and a collaborative dynamic that may not be present in individual treatment formats. However, this review suggests results immediately post-treatment from recently completed group interventions are variable, only producing statistically significant changes above control approximately half the time, are not consistently producing changes of 0.25 zBMI points or above, and may be producing only small effects. Given these poor outcomes, it may be wise to reassess the value of current group-only interventions for treatment. Another approach may be to identify the intervention strategies of the treatments that have been effective and work to incorporate these into future group interventions.

Considering the heterogeneity of etiologic and maintenance factors in obesity, the inconsistency of results may be due to a lack of sufficient attention to individual needs within the larger group. When considering group-based approaches, mixed format studies may be a better option as they generally produce superior outcomes. While control studies in this review were limited, they suggest medium to large treatment effects of mixed-format, and weight change across interventions suggests greater magnitudes of weight loss than in group alone. Mixed format ensures that specific time and attention is given to each family unit while allowing for relationships to be formed among participants within the group setting (24, 25). When resources limit this possibility, additional options for personalization, such as written summaries of patient goals and group summaries that highlight individual changes within the context of the group, should be utilized (65). Technology is also a novel tool that, in addition to promoting social cohesion within a group, may allow for unique approaches to individualization of treatment and wide dissemination. A stepped-care approach that begins with treatment in a group setting and moves to individual treatment for non-responders may also prove beneficial.

Footnotes

1

Medians reported due to small sample size, therefore effect size was not calculated.

2

Post-intervention average SDs not available to calculate effect size

Selected References:

17. * Epstein et al. (2014) demonstrates significant cost-savings per unit weight loss when both parent and child overweight/obesity are treated within the same weight loss program targeted to the needs of the family as opposed to separate weight loss programs targeted towards the needs of the individuals.

35. *Saelens et al. (2013) produced the largest weight changes in the middle childhood population with both a standard intervention that utilized uniform behavioral skills and interventionist goal assignment and a similar intervention with an adjunct motivational and autonomy-enhancing intervention. Both groups lost more than 0.3 zBMI points and within-group intervention effects were large (0.8 and 0.83), suggesting the efficacy of both intervention designs.

57. * Quattrin et al. (2014) assesses two relatively recent areas of interest in the treatment of childhood obesity, specifically treatment within a primary care setting and treatment of young children. Intensive treatment over 12 months demonstrated significant reductions in zBMI and percent overBMI that were maintained at a 24 month follow-up, thus intensive early intervention within a primary care setting may be beneficial for the treatment of childhood obesity.

References

  • 1.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA. 2014;311(8):806–814. doi: 10.1001/jama.2014.732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Dabelea D, Bell RA, D'Agostino RB, Jr, Imperatore G, Johansen JM, Linder B, et al. Incidence of diabetes in youth in the United States. JAMA: the journal of the American Medical Association. 2007;297(24):2716–2724. doi: 10.1001/jama.297.24.2716. [DOI] [PubMed] [Google Scholar]
  • 3.Freedman DS, Khan LK, Dietz WH, Srinivasan SR, Berenson GS. Relationship of childhood obesity to coronary heart disease risk factors in adulthood: the Bogalusa Heart Study. Pediatrics. 2001;108(3):712–718. doi: 10.1542/peds.108.3.712. [DOI] [PubMed] [Google Scholar]
  • 4.Franks PW, Hanson RL, Knowler WC, Sievers ML, Bennett PH, Looker HC. Childhood obesity, other cardiovascular risk factors, and premature death. New England Journal of Medicine. 2010;362(6):485–493. doi: 10.1056/NEJMoa0904130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Baker JL, Olsen LW, Sørensen TI. Childhood body-mass index and the risk of coronary heart disease in adulthood. New England journal of medicine. 2007;357(23):2329–2337. doi: 10.1056/NEJMoa072515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Pulgarón ER. Childhood obesity: a review of increased risk for physical and psychological comorbidities. Clinical therapeutics. 2013;35(1):A18–A32. doi: 10.1016/j.clinthera.2012.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. New England Journal of Medicine. 1997;337(13):869–873. doi: 10.1056/NEJM199709253371301. [DOI] [PubMed] [Google Scholar]
  • 8.Singh AS, Mulder C, Twisk JW, Van Mechelen W, Chinapaw MJ. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obesity reviews. 2008;9(5):474–488. doi: 10.1111/j.1467-789X.2008.00475.x. [DOI] [PubMed] [Google Scholar]
  • 9.Gordon-Larsen P, The NS, Adair LS. Longitudinal trends in obesity in the United States from adolescence to the third decade of life. Obesity. 2010;18(9):1801–1804. doi: 10.1038/oby.2009.451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Force UPST. Screening for obesity in children and adolescents: US Preventive Services Task Force recommendation statement. Pediatrics. 2010;125(2):361–367. doi: 10.1542/peds.2009-2037. [DOI] [PubMed] [Google Scholar]
  • 11.Wilfley DE, Buren DJ, Theim KR, Stein RI, Saelens BE, Ezzet F, et al. The use of biosimulation in the design of a novel multilevel weight loss maintenance program for overweight children. Obesity. 2010;18(S1):S91–S98. doi: 10.1038/oby.2009.437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Epstein LH, Valoski A, Wing RR, McCurley J. Ten-year outcomes of behavioral family-based treatment for childhood obesity. Health Psychology. 1994;13(5):373. doi: 10.1037//0278-6133.13.5.373. [DOI] [PubMed] [Google Scholar]
  • 13.Coppock JH, Ridolfi DR, Hayes JF, St. Paul M, Wilfley DE. Current approaches to the management of pediatric overweight and obesity. Current Treatment Options in Cardiovascular Medicine. doi: 10.1007/s11936-014-0343-0. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Epstein LH, Myers MD, Raynor HA, Saelens BE. Treatment of pediatric obesity. Pediatrics. 1998;101(Supplement 2):554–570. [PubMed] [Google Scholar]
  • 15.Goldfield G, Epstein L, Kilanowski C, Paluch R, Kogut-Bossler B. Cost-effectiveness of group and mixed family-based treatment for childhood obesity. International Journal of Obesity. 2001 doi: 10.1038/sj.ijo.0801838. [DOI] [PubMed] [Google Scholar]
  • 16.Yalom ID. The Theory and Practice of Group Psychotherapy. Third Edition. New York, NY: Basic Books, Inc; 1985. [Google Scholar]
  • 17.Puhl RM, Latner JD. Stigma, obesity, and the health of the nation's children. Psychological bulletin. 2007;133(4):557. doi: 10.1037/0033-2909.133.4.557. [DOI] [PubMed] [Google Scholar]
  • 18.Salvy S-J, Bowker JW, Roemmich JN, Romero N, Kieffer E, Paluch R, et al. Peer influence on children's physical activity: an experience sampling study. Journal of Pediatric Psychology. 2008;33(1):39–49. doi: 10.1093/jpepsy/jsm039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Salvy S-J, Coelho JS, Kieffer E, Epstein LH. Effects of social contexts on overweight and normal-weight children's food intake. Physiology & behavior. 2007;92(5):840–846. doi: 10.1016/j.physbeh.2007.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Salvy S-J, Kieffer E, Epstein LH. Effects of social context on overweight and normal-weight children's food selection. Eating behaviors. 2008;9(2):190–196. doi: 10.1016/j.eatbeh.2007.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Barkley JE, Salvy S-J, Roemmich JN. The effect of simulated ostracism on physical activity behavior in children. Pediatrics. 2012;129(3):e659–e666. doi: 10.1542/peds.2011-0496. [DOI] [PubMed] [Google Scholar]
  • 22.Jelalian E, Sato A, Hart CN. The effect of group-based weight-control intervention on adolescent psychosocial outcomes: Perceived peer rejection, social anxiety, and self-concept. Children's Health Care. 2011;40(3):197–211. doi: 10.1080/02739615.2011.590391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wilfley DE, Stein RI, Saelens BE, Mockus DS, Matt GE, Hayden-Wade HA, et al. Efficacy of maintenance treatment approaches for childhood overweight: a randomized controlled trial. JAMA. 2007;298(14):1661–1673. doi: 10.1001/jama.298.14.1661. [DOI] [PubMed] [Google Scholar]
  • 24.Brownell KD, Kelman JH, Stunkard AJ. Treatment of obese children with and without their mothers: changes in weight and blood pressure. Pediatrics. 1983;71(4):515–523. [PubMed] [Google Scholar]
  • 25.Saelens BE, Lozano P, Scholz K. A randomized clinical trial comparing delivery of behavioral pediatric obesity treatment using standard and enhanced motivational approaches. Journal of pediatric psychology. 2013 doi: 10.1093/jpepsy/jst054. jst054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lakens D. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in psychology. 2013:4. doi: 10.3389/fpsyg.2013.00863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wilfley DE, Tibbs TL, Van Buren D, Reach KP, Walker MS, Epstein LH. Lifestyle interventions in the treatment of childhood overweight: a meta-analytic review of randomized controlled trials. Health Psychology. 2007;26(5):521. doi: 10.1037/0278-6133.26.5.521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Cohen J. A power primer. Psychological bulletin. 1992;112(1):155. doi: 10.1037//0033-2909.112.1.155. [DOI] [PubMed] [Google Scholar]
  • 29.Ford AL, Hunt LP, Cooper A, Shield JP. What reduction in BMI SDS is required in obese adolescents to improve body composition and cardiometabolic health? Archives of disease in childhood. 2010;95(4):256–261. doi: 10.1136/adc.2009.165340. [DOI] [PubMed] [Google Scholar]
  • 30.Kolsgaard ML, Joner G, Brunborg C, Anderssen SA, Tonstad S, Andersen LF. Reduction in BMI z-score and improvement in cardiometabolic risk factors in obese children and adolescents. The Oslo Adiposity Intervention Study-a hospital/public health nurse combined treatment. BMC pediatrics. 2011;11(1):47. doi: 10.1186/1471-2431-11-47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Reinehr T, Andler W. Changes in the atherogenic risk factor profile according to degree of weight loss. Archives of Disease in Childhood. 2004;89(5):419–422. doi: 10.1136/adc.2003.028803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Reinehr T, Kiess W, Kapellen T, Andler W. Insulin sensitivity among obese children and adolescents, according to degree of weight loss. Pediatrics. 2004;114(6):1569–1573. doi: 10.1542/peds.2003-0649-F. [DOI] [PubMed] [Google Scholar]
  • 33.Bocca G, Corpeleijn E, van den Heuvel ER, Stolk RP, Sauer PJ. Three-year follow-up of 3-year-old to 5-year-old children after participation in a multidisciplinary or a usual-care obesity treatment program. Clinical Nutrition. 2013 doi: 10.1016/j.clnu.2013.12.002. [DOI] [PubMed] [Google Scholar]
  • 34.Mazzeo SE, Kelly NR, Stern M, Gow RW, Cotter EW, Thornton LM, et al. Parent skills training to enhance weight loss in overweight children: Evaluation of NOURISH. Eating behaviors. 2014;15(2):225–229. doi: 10.1016/j.eatbeh.2014.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Lochrie AS, Wysocki T, Hossain J, Milkes A, Antal H, Buckloh L, et al. The effects of a family-based intervention (FBI) for overweight/obese children on health and psychological functioning. Clinical Practice in Pediatric Psychology. 2013;1(2):159. [Google Scholar]
  • 36.Morgan PJ, Collins CE, Plotnikoff RC, Callister R, Burrows T, Fletcher R, et al. The ‘Healthy Dads, Healthy Kids’ community randomized controlled trial: A community-based healthy lifestyle program for fathers and their children. Preventive medicine. 2014;61:90–99. doi: 10.1016/j.ypmed.2013.12.019. [DOI] [PubMed] [Google Scholar]
  • 37.Marcus MD, Kalarchian MA. Binge eating in children and adolescents. International Journal of Eating Disorders. 2003;34(S1):S47–S57. doi: 10.1002/eat.10205. [DOI] [PubMed] [Google Scholar]
  • 38.Bloom T, Sharpe L, Mullan B, Zucker N. A pilot evaluation of appetite-awareness training in the treatment of childhood overweight and obesity: A preliminary investigation. International Journal of Eating Disorders. 2013;46(1):47–51. doi: 10.1002/eat.22041. [DOI] [PubMed] [Google Scholar]
  • 39.Boutelle KN, Zucker N, Peterson CB, Rydell S, Carlson J, Harnack LJ. An intervention based on Schachter’s externality theory for overweight children: The Regulation of Cues pilot. Journal of pediatric psychology. 2014 doi: 10.1093/jpepsy/jst142. jst142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Martínez-Andrade GO, Cespedes EM, Rifas-Shiman SL, Romero-Quechol G, González-Unzaga MA, Benítez-Trejo MA, et al. Feasibility and impact of Creciendo Sanos, a clinic-based pilot intervention to prevent obesity among preschool children in Mexico City. BMC pediatrics. 2014;14(1):77. doi: 10.1186/1471-2431-14-77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Stark LJ, Clifford LM, Towner EK, Filigno SS, Zion C, Bolling C, et al. A Pilot Randomized Controlled Trial of a Behavioral Family-Based Intervention With and Without Home Visits to Decrease Obesity in Preschoolers. Journal of pediatric psychology. 2014;39(9):1001–1012. doi: 10.1093/jpepsy/jsu059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Berry D, Schwartz T, McMurray R, Skelly A, Neal M, Hall E, et al. The family partners for health study: a cluster randomized controlled trial for child and parent weight management. Nutrition & diabetes. 2014;4(1):e101. doi: 10.1038/nutd.2013.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Esfarjani F, Khalafi M, Mohammadi F, Mansour A, Roustaee R, Zamani-Nour N, et al. Family-based intervention for controlling childhood obesity: an experience among Iranian children. International journal of preventive medicine. 2013;4(3):358. [PMC free article] [PubMed] [Google Scholar]
  • 44.Davis AM, Sampilo M, Gallagher KS, Landrum Y, Malone B. Treating rural pediatric obesity through telemedicine: Outcomes from a small randomized controlled trial. Journal of pediatric psychology. 2013 doi: 10.1093/jpepsy/jst005. jst005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Boutelle KN, Zucker NL, Peterson CB, Rydell SA, Cafri G, Harnack L. Two novel treatments to reduce overeating in overweight children: a randomized controlled trial. Journal of consulting and clinical psychology. 2011;79(6):759. doi: 10.1037/a0025713. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Danielsson P, Kowalski J, Ekblom Ö, Marcus C. Response of severely obese children and adolescents to behavioral treatment. Archives of pediatrics & adolescent medicine. 2012;166(12):1103–1108. doi: 10.1001/2013.jamapediatrics.319. [DOI] [PubMed] [Google Scholar]
  • 47.Hofsteenge G, Chinapaw M, Delemarre-van de Waal H, Weijs P. Long-term effect of the Go4it group treatment for obese adolescents: a randomised controlled trial. Clinical Nutrition. 2014;33(3):385–391. doi: 10.1016/j.clnu.2013.06.002. [DOI] [PubMed] [Google Scholar]
  • 48.Staiano AE, Abraham AA, Calvert SL. Adolescent exergame play for weight loss and psychosocial improvement: a controlled physical activity intervention. Obesity. 2013;21(3):598–601. doi: 10.1038/oby.2012.143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Trost SG, Sundal D, Foster GD, Lent MR, Vojta D. Effects of a Pediatric Weight Management Program With and Without Active Video Games: A Randomized Trial. JAMA pediatrics. 2014 doi: 10.1001/jamapediatrics.2013.3436. [DOI] [PubMed] [Google Scholar]
  • 50.Kalarchian MA, Levine MD, Marcus MD. Structured Dietary Interventions in the Treatment of Severe Pediatric Obesity: A Pilot Study. Bariatric Surgical Practice and Patient Care. 2013;8(2):58–60. doi: 10.1089/bari.2013.9990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Quattrin T, Roemmich JN, Paluch R, Yu J, Epstein LH, Ecker MA. Treatment Outcomes of Overweight Children and Parents in the Medical Home. Pediatrics. 2014;134(2):290–297. doi: 10.1542/peds.2013-4084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Patrick K, Norman GJ, Davila EP, Calfas KJ, Raab F, Gottschalk M, et al. Outcomes of a 12-Month Technology-Based Intervention to Promote Weight Loss in Adolescents at Risk for Type 2 Diabetes. Journal of diabetes science and technology. 2013;7(3):759–770. doi: 10.1177/193229681300700322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Epstein LH, Paluch RA, Roemmich JN, Beecher MD. Family-based obesity treatment, then and now: twenty-five years of pediatric obesity treatment. Health Psychology. 2007;26(4):381. doi: 10.1037/0278-6133.26.4.381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kokkvoll A, Grimsgaard S, Ødegaard R, Flægstad T, Njølstad I. Single versus multiple-family intervention in childhood overweight—Finnmark Activity School: a randomised trial. Archives of disease in childhood. 2013 doi: 10.1136/archdischild-2012-303571. archdischild-2012-303571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Caprio S. Treating child obesity and associated medical conditions. The Future of Children. 2006;16(1):209–224. doi: 10.1353/foc.2006.0002. [DOI] [PubMed] [Google Scholar]
  • 56.Berkowitz RI, Rukstalis MR, Bishop-Gilyard CT, Moore RH, Gehrman CA, Xanthopoulos MS, et al. Treatment of adolescent obesity comparing self-guided and group lifestyle modification programs: A potential model for primary care. Journal of pediatric psychology. 2013;38(9):978–986. doi: 10.1093/jpepsy/jst035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Hystad HT, Steinsbekk S, Ødegård R, Wichstrøm L, Gudbrandsen OA. A randomised study on the effectiveness of therapist-led v. self-help parental intervention for treating childhood obesity. British Journal of Nutrition. 2013;110(06):1143–1150. doi: 10.1017/S0007114513000056. [DOI] [PubMed] [Google Scholar]
  • 58.Mirza NM, Palmer MG, Sinclair KB, McCarter R, He J, Ebbeling CB, et al. Effects of a low glycemic load or a low-fat dietary intervention on body weight in obese Hispanic American children and adolescents: a randomized controlled trial. The American journal of clinical nutrition. 2013;97(2):276–285. doi: 10.3945/ajcn.112.042630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Altman MW DE. Evidence update on the tretment of overweight and obesity in children and adolescents. Journal of Clinical Child and Adolescent Psychology. doi: 10.1080/15374416.2014.963854. In press. [DOI] [PubMed] [Google Scholar]
  • 60.Goldschmidt AB, Best JR, Stein RI, Saelens BE, Epstein LH, Wilfley DE. Predictors of Child Weight Loss and Maintenance Among Family-Based Treatment Completers. 2014 doi: 10.1037/a0037169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Nguyen B, Kornman K, Baur L. A review of electronic interventions for prevention and treatment of overweight and obesity in young people. Obesity Reviews. 2011;12(5):e298–e314. doi: 10.1111/j.1467-789X.2010.00830.x. [DOI] [PubMed] [Google Scholar]
  • 62.An J-Y, Hayman LL, Park Y-S, Dusaj TK, Ayres CG. Web-Based Weight Management Programs for Children and Adolescents: A Systematic Review of Randomized Controlled Trial Studies. Advances in nursing science. 2009;32(3):222–240. doi: 10.1097/ANS.0b013e3181b0d6ef. [DOI] [PubMed] [Google Scholar]
  • 63.Turner-McGrievy GM, Tate DF. Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention. Translational behavioral medicine. 2013;3(3):287–294. doi: 10.1007/s13142-012-0183-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Kulik NL, Fisher EB, Ward DS, Ennett ST, Bowling JM, Tate DF. Peer Support Enhanced Social Support in Adolescent Females During Weight Loss. American journal of health behavior. 2014;38(5):789–800. doi: 10.5993/AJHB.38.5.16. [DOI] [PubMed] [Google Scholar]
  • 65.Wilfley D, Frank M, Welch R, Spurrell E, Rounsaville B. Adapting interpersonal psychotherapy to a group format (IPT-G) for binge eating disorder: Toward a model for adapting empirically supported treatments. Psychotherapy Research. 1998;8(4):379–391. [Google Scholar]

RESOURCES