Do sex differences in reported weight loss intentions and behaviours persist across demographic characteristics and weight status in youth? A systematic review

Background Evidence suggests that young females are more likely to try to lose weight than young males, however whether this sex difference persists across demographic characteristics and weight status is unclear. Further, whether females are more likely than males to try to lose weight using unhealthy weight loss strategies has never been systematically assessed. The objective of this systematic review was to examine the literature on sex differences in weight loss intentions and strategies in children and adolescent observational studies to determine whether sex differences persisted across demographic characteristics (race/ethnicity, grade level) and weight status. Methods Relevant articles published after 1990 were identified using PubMED, Web of Science, and PsycInfo. Searches were conducted in May of 2015 and again in May of 2017. Studies conducted in the US and Canada with participants 18-years old or younger who measured weight loss strategies in the context of weight loss intention were selected. Descriptive statistics were extracted from 19 studies. Results Almost two-thirds of youth reported trying to lose weight. High-school and middle-school aged females reported consistently higher prevalence of weight loss intentions compared to male counterparts, as did Caucasian, African-American, and Hispanic females. The proportion of youth using unhealthy or extreme strategies reached 44 and 13%, respectively, with a similar proportion of males and females endorsing the use of each category of weight loss strategies across studies. Native-American youth reported the highest prevalence (27%) of using extreme strategies. Conclusions Researchers should consider demographic characteristics when reporting prevalence information for weight loss intentions and behaviours, as certain groups might require more targeted public health initiatives. Across characteristics, prevalence ranges were broad for weight loss intentions and use of particular strategies, suggesting the need to standardize and refine data collection and reporting practices in this literature. Electronic supplementary material The online version of this article (10.1186/s12889-018-6179-x) contains supplementary material, which is available to authorized users.


Background
Approximately one-third to one-half of high school students report trying to lose weight [1,2]. Nearly half will either fail to lose weight, or will regain the weight [3][4][5][6]. While a combination of dietary changes and increased physical activity is recommended [7], considerable heterogeneity in weight loss strategies have been reported [1]. Importantly, the effectiveness of these behaviours on weight loss differs between strategies, and some strategies may not only be ineffective, but may also be counterproductive [8][9][10]. For instance, Neumark-Sztainer et al. [9] reported greater increases in body mass index (BMI) over 10-years of follow-up among adolescents who reported unhealthy weight loss behaviours (such as fasting, using laxatives, etc.) compared to those who didn't report unhealthy weight loss behaviours [9]. Another adverse consequence of unhealthy weight loss strategies include the potential development of eating disorders, which has important implications for health later in life [11][12][13][14].
As weight loss intentions and weight loss strategies tend to track from adolescence into adulthood [9], improving our understanding of how youth populations self-manage weight loss is critical for curbing the obesity epidemic. Indeed, both weight loss intentions and the use of particular weight loss strategies reportedly differs based on demographic and health characteristics such as age [12], race/ethnicity [15], or weight status [16,17]. For instance, while studies have demonstrated that females are more likely than males to try to lose weight [18][19][20][21] and to do so using unhealthy behaviours [15,22,23], findings as to whether this sex difference persists in weight loss intentions and strategies across other demographic and health characteristics have been mixed. While some studies report significant sex differences across age [24], others report no sex differences in demographic sub-groups (e.g., Native-American youth) [20,21,25]. Understanding where sex differences persist in the prevalence of using healthy and unhealthy weight loss behaviours among these different demographic groups would allow for the development and execution of more refined public health initiatives aimed at reducing obesity in youth. Indeed, research suggests that targeted health initiatives can add benefits that universal approaches to public health messaging cannot provide [26,27].
No systematic review has yet examined sex differences within demographic characteristics or weight status in the context of weight loss intention in observational studies conducted among children and adolescents. Previous reviews have focused on clinical trials [28][29][30][31], and whether a sex difference persists in observational studies is largely unknown. Discerning whether a sex difference in weight loss intentions and strategies persists across other demographic characteristics and weight status will improve researchers' and clinicians' ability to identify subpopulations of youth at the highest risk for unhealthy weight loss behaviours, thus supporting efforts aimed at preventing obesity and other problematic health conditions related to weight mismanagement. The objective of this paper was to systematically review the literature on weight loss intention and strategies among children and adolescents from observational studies, and to estimate whether sex differences in these outcomes may persist across age, race/ethnicity and weight status.

Search strategy
Existing literature published between January 1990 and May 2017 was searched electronically using three different databases: PubMED, Web of Science, and PsycInfo. The full search strategy is available in Additional file 1. The first search was conducted in May of 2015, during which 3355 articles were identified (Fig. 1). A second search was conducted in May of 2017 and yielded no new results.

Eligibility criteria
The criteria for inclusion in the review were: (1) participants were 18 years of age or younger, (2) past or current weight loss intention alongside use of weight loss strategies were measured (i.e., either a subsample of those reporting weight loss intentions was analyzed, or question wording was such that weight loss intention could be assumed, such as "do you exercise to lose weight"), (3) the study used a Canadian or American sample, (4) the article was written in English, and (5) the study reported data on at least one of the characteristics of interest to the review. Articles were excluded if: (1) the study involved an intervention (e.g., behavioural counseling for weight loss with no baseline data on behaviours provided), (2) the study sample was an exclusively at-risk or other special population (e.g., diagnosed with an eating disorder), (3) weight loss strategies were too broadly defined without detail (e.g., "Do you diet to lose weight?"), or (4) the study was qualitative in nature. Of note, studies that assessed weight intention by combining weight loss and weight maintenance objectives (e.g., "do you exercise to lose weight or keep from gaining weight") were excluded, as research suggests that weight loss and weight maintenance are cognitively different objectives that may lead to different health outcomes [32].
This review focuses on the United States and Canada, given that weight loss intentions are notably highest among this population of youth [33], more data is available for this region than in other countries, and the makeup of characteristics of interest to this review (e.g., race/ethnicity) likely differ substantially in other regions. Further, as the intent of this research is to highlight areas where further research is needed to better inform decisions made by public health agencies, relative homogeneity amidst study samples should allow for more generalizable findings. Studies excluded from other countries include those conducted in Australia and New Zealand, Eastern Europe, China, Iran, India, Ireland, Mauritius, Spain, Sweden, Switzerland, and Taiwan.

Study selection
All records identified in the search were retrieved. The software EndNote X7 [34] was used to filter duplicate records and organize references. Both authors independently reviewed the titles and abstracts for articles considered for inclusion. Disagreements were resolved through discussion. Reference lists of studies deemed relevant for the review were examined to identify additional studies for inclusion. The reference lists of those identified were then consulted, and so on, until no additional articles could be identified as relevant for inclusion. During this process, 51 additional articles met the necessary criteria, and were deemed relevant for consideration in the review.

Data extraction
Descriptive data across studies on weight loss intentions and strategies were extracted in order to report overall prevalence, and prevalence according to the following sub-categories: (1) weight status (underweight, normal-weight, and overweight/obese), (2) grade level (elementary school [approximately ages [5][6][7][8][9][10], middle school [ages [11][12][13], and high school [ages [14][15][16][17][18]), and (3) race/ethnicity (African American, Asian American, Caucasian, Hispanic, Native American). Additional details on the coding of these sub-categories are provided in their relevant results sections. Sex was taken into consideration within each of these subsections. Both authors were involved in the data extraction processthe first author conducted the primary data extraction, which was then verified by the second author. Weight loss strategies were broadly grouped into three categories based on those proposed by Neumark-Sztainer and colleagues (healthy, unhealthy, and extreme; see Table 1) [35]. In general, healthy behaviours are those that are Records identified in initial electronic search (n = 3,355) Records after duplicates removed (n = 1,941) Full-text articles assessed for eligibility (n = 151) Full-text articles excluded b (n = 140): -Did not meet full inclusion/exclusion criteria (n = 133) Met criteria, but were excluded due to: -Retrospective assessment of weight loss intentions after participants successfully lost weight (n = 2) -Study definition of weight loss strategies included cognitions about purging in addition to purging behavior (n = 2) -Study grouped strategy use dichotomously regardless of the type of strategy (i.e., all strategies, healthy and unhealthy, analyzed as "dieters" n = 1) -Prevalence information reported inconsistently (n = 2)  In addition to those studies that did not meet the inclusion and exclusion criteria, details of studies excluded based on quality or lack of fit with the review question are shown here recommended for weight management (e.g., exercise, dietary changes), while unhealthy and extreme behaviours (e.g., laxative use, fasting) are those that do not provide adequate nutrient intake, with extreme behaviours representing those that are most dangerous and counterproductive to health [35,36].

Quality and risk of Bias assessments
Both authors independently assessed the quality (pertaining to all aspects of the publication including introduction, methods, results and discussion) and potential bias of each study using the AXIS tool. Disagreements were resolved through discussion. The AXIS tool was specifically designed to be utilized across disciplines to critically appraise cross-sectional studies. With an international panel of 18 experts, the AXIS tool was developed through several iterative rounds of a Delphi process in order to reach consensus [37].

Results
Based on titles and abstracts, 151 articles from peer-reviewed journals containing the variables of interest were deemed relevant for consideration in the review (Fig. 1). After applying the inclusion and exclusion criteria (see Fig. 1), 19 studies were retained for the final review.

Study characteristics: Full sample
The demographic characteristics of each study sample are presented ( Table 1). All but one study [20] was conducted in the United States; three used data from large, nationally representative datasets (Add Health [19,38], and the Youth Risk Behavior Survey) [39]. Eighteen of the nineteen studies were cross-sectional. For the one longitudinal study, only data from the last year of study is reported here [40]. Exercise was the most commonly assessed healthy weight loss strategy (13/19 studies), while the prevalence of using dietary changes was the least frequently assessed (8/19 studies). Over half the studies assessed the use of unhealthy strategies (12/19), and three-quarters assessed the use of extreme strategies (14/19 studies). Skipping meals and fasting were the most commonly assessed unhealthy strategies (8/ 19) and using diet pills/aids was the most commonly assessed extreme strategy (14/19). No studies evaluated the use of multiple strategies simultaneously.

Quality and risk of Bias assessments
Results of the quality assessment are shown ( Table 2). None of the studies provided a power calculation or sample size justification. Non-response bias was not a concern for seven studies, while sampling procedures from two studies raised concern about non-response bias. There was not enough information to determine a potential non-response bias for the remaining ten studies. Only one  Yost et al. [38] Zullig et al. [42] 1. Were the aims/ objectives of the Was the study design appropriate for the stated aim(s)?
. Was the sample frame taken from an appropriate population base so that it closely represented the target/reference . Was the selection process likely to select subjects/ participants that were representative of the target/ reference population under investigation?
Were measures undertaken to address and categorize non-responders?
Is it clear what was used to determined statistical significance and/or precision estimates?
. Were the methods (including statistical methods) sufficiently described to enable  Yost et al. [38] Zullig et al. [42] up', and 'whether missing numbers were acknowledged or described') 16. Were the results for the analyses described in the methods, presented?
Were the authors' discussions and conclusions justified Were there any funding sources or conflicts of interest that may affect the authors' interpretation of the results?
20. Was ethical approval or consent of participants attained? were proposed in the methods (i.e., prevalence and proportions proposed only), quality for presentation of results was deemed as N/A study presented information on the non-responders in order for the reader to determine issues of generalizability. Approximately 40% (8/19 studies) did not report psychometric properties nor referenced previous work demonstrating the reliability and validity of their weight intentions and weight loss strategy measures. Details pertaining to ethical approval or participant consent were not provided for the majority of studies (12/19). As studies reporting no sex difference, or a higher endorsement of weight loss strategies by males compared with females were published and reported in this systematic review, publication bias is suspected to be minimal. For easier readability, overall prevalence information is presented first, followed by summary information organized by the sub-categories of weight status (separately for measured weight, and perceived weight), grade level, and race/ethnicity. A summary of all results presented is shown (Table 3).

Weight loss strategy use
Based on measured weight status, the total prevalence of using healthy weight loss strategies among underweight youth ranged from 24 to 27% [21]. Healthy strategies ranged from 36 to 73% [21], and 47-75% in normal-weight and overweight/obese youth, respectively [21]. Prevalence in males based on weight status was not available, but in females, the use of healthy strategies ranged from 0 to 8%, 10-18%, and 27-33% among underweight, normal-weight, overweight/obese females, respectively [44]. No study that reported measured weight status also reported prevalence of using unhealthy strategies. The use of extreme weight loss strategies was found to vary between 1 and 2% in underweight and normal-weight females, and varied between 1 and 3% among overweight/obese females [44]. Whether sex differences were significant between females and males were not reported. Based on perceived weight status, the prevalence of using healthy weight loss strategies was 73% in normal-weight, and 74% in overweight/obese youth [39]. No study reported the use of healthy weight loss strategies among youth who perceived themselves to be underweight. Among females, 30-38%, 54-73% and 72-86% of underweight, normal-weight and overweight/obese youth reported using healthy weight loss strategies, respectively [39,45]. Between 0 and 2% of females who perceived themselves as underweight reported using unhealthy strategies to lose weight, as did 3-68% of self-perceived normal-weight females, and 15-75% of self-perceived overweight/obese females [39,45]. The prevalence of using extreme weight loss strategies was 0-7%, 4-44%, and 6-70% in self-perceived underweight, normal-weight, and overweight/obese females, respectively [39,47]. Among males, 72% of those who perceived themselves as normal-weight and 80% of self-perceived overweight/obese males reported using healthy weight loss strategies [39]. For unhealthy weight loss strategies, the prevalence among males was 46% in normal-weight males and 62% in overweight/obese males [39]. Lastly, 2-4% of self-perceived normal-weight males and 3-5% of overweight/obese males reported using extreme weight loss strategies [39]. No study reported the use of weight loss strategies in males who perceived themselves to be underweight. Whether these proportions were significantly different between females and males were not reported in any study.

By grade level
While difficult to determine the exact age students attend each grade level, generally speaking in the United States and Canada the school system is such that the ages are approximately 5-10 years of age during elementary school, 11-13 years of age during middle-school, and 14-18 years of age during high-school.
Three studies of elementary school students [21,25,41], three studies of middle school students [20,23,24], and one study of high school students [18] reported sex differences in the use of particular weight loss strategies (included in aggregate in Table 4, see annotations).

By race/ethnicity
Of note, the terms used here to describe race/ethnicity have been chosen to represent a set of interchangeable terms provided in the original articles, and are grouped as follows: Study participants referred to in the original articles as Caucasian, White or non-Hispanic white are referred to here as "Caucasian." Those referred to as African-American, African-Canadian, or Black are referred to here as "African-American." Those referred to as Hispanic, Mexican-American, or Puerto Rican are referred to here as "Hispanic". Study participants referred to as Native-American, American-Indian, or Alaska Native in the original articles are referred to here as "Native-American." Those referred to as Asian-American, Asian, Pacific Islander, or South Asian are referred to here as "Asian-American".
The prevalence of trying to lose weight by race/ethnicity based on sex was: 47-58% in Caucasian females compared to 16-25% Caucasian males; 30-48% in African-American females compared to 10-27% of African-American males [39,42]; 39% in Hispanic females compared to 14% in Hispanic males [39], 38-59% in Native-American females and 38-63% in Native-American males [21,25,41]. This information was not available for Asian-American males or females. No study conducted significance tests examining sex differences in weight loss intentions within-race/ethnicity.
The prevalence of using extreme weight loss strategies ranged from 1 to 8% among Caucasian youth [24,42]. For Caucasian females, this ranged from 2 to 11%, and from 3 to 5% in males [39,42,49]. In African-American youth, 1-7% reported using extreme weight loss strategies [24,42]. In African-American females, this ranged from 3 to 9%, and from 2 to 7% in African-American males [39,42,49]. The total prevalence for using extreme strategies in Native-American youth ranged from 0 to 27% [24,47], and from 1 to 27% in females and 1-12% in males [21,41]. In Hispanic females, the prevalence of using extreme strategies ranged from 7 to 8% and from 1 to 3% in males [39]. While no study statistically examined the presence of sex differences within-race/ethnicity, three studies whose participants were 100% Native-American youth reported sex differences in the use of particular strategies, however results were mixed (Table 4, see annotations).

Discussion
The objective of the current paper was to review the existing literature on weight loss intentions and weight loss strategy use among youth, and to compile prevalence estimates of these based on demographic characteristics and weight status. Of particular interest was the question of whether patterns within these characteristics differed by sex.

Weight loss intentions
Our results demonstrate that up to two-thirds of youth report trying to lose weight. The prevalence of trying to lose weight reached 74% in females and 63% in males, however results from statistical comparisons show mixed findings, with some studies reporting no sex difference in weight loss intention, and some reporting higher endorsement among females. Mixed findings may be observed due to differences in demographic characteristics, such as age and race/ethnicity. For instance, several studies report no sex difference in weight loss intentions among elementary school children, while studies conducted among middle and high school students consistently report that females are more likely than males of the same age to be trying to lose weight. Indeed, research has demonstrated that children as young as 8 years old express concerns about their weight and body shape [50], and that these concerns, as well as actions taken to control body weight, increase substantially as youth move from elementary to middle school [48]. This increase in attention to body weight in young females is likely due to a combination of factors, including onset of menarche, dating, and increased peer pressure [48], as well as increased exposure to societal ideals of beauty through television and social media during childhood and emerging adolescence [51]. While the overall finding that young females are more likely to be trying to lose weight compared to males is consistent with findings among adults [52], the reasons for wanting to lose weight are likely qualitatively different. Indeed, while both adults and adolescents cite self-esteem as an important factor in wanting to lose weight, research suggests that children are more motivated by a desired appearance when trying to lose weight compared to adults, who cite health as a primary concern [53,54].
In addition, parent/peer influences have been shown to shape weight loss intentions [55][56][57][58]. This is likely a confluence of behaviour modeling, social support, and parental/peer pressure. Although research is limited, it does appear that the importance of these influences varies by age and sex. Further research into the influence of these social networks is needed, as the importance of these social networks on body image, self-esteem, and weight intention may be critical to preventing maladaptive weight loss habits. In particular, as it appears that once young females reach middle and high school their intentions of maintaining a particular body shape are already exaggerated compared to boys, understanding the influence of these social networks on younger females may be especially critical from a public health perspective. Thus, public health efforts should consider targeting elementary school children to encourage the development of a healthy body image and lifestyle. Given that sex differences in weight loss intentions persist into adulthood [52], a more comprehensive evaluation of which concerns and attitudes about weight loss persist from childhood into adulthood is certainly necessary.
With regards to race/ethnicity, Caucasian, African -American, and Hispanic females appear to report consistently higher prevalence of trying to lose weight compared to males in the same group, while rates were similar among Native-American females and males. Of note, Native-American males demonstrated a higher pattern of endorsement of weight loss intentions compared to all other ethnicities examined. Such observations are important given that previous research indicates important distinctions between race/ethnicity with regard to weight perceptions and management, largely due to cultural differences. For instance, one study suggests that body weight concerns in young females across cultures are influenced by media messaging [59], while another implies that consumption of media targeted to African-Americans is unrelated to body weight concerns [60]. A better understanding of factors associated with race/ethnicity and weight intentions is warranted, especially given the disparity in the prevalence of overweight among African-American, Native-American, and Caucasian youth in the United States [61] and Canada [62].
Unsurprisingly, it was observed that a larger proportion of overweight/obese participants reported trying to lose weight compared to normal-weight and underweight individuals (based on measured weight status), but sex differences were not reported. The lack of data on sex differences across these categories represents a major limitation as research shows that young females are more likely to perceive themselves as overweight compared to young males [19]. Further, the literature suggests that perceived weight status is a stronger predictor of weight intentions and strategies than measured weight status. For instance, preliminary evidence among adults suggests that perceived weight status may fully mediate the association between measured weight and weight intentions [63,64] but differs by sex and race/ethnicity. Whether this mediation occurs across sex and race/ethnicity among adolescents should be further evaluated.

Weight loss strategies
The proportion of youth using unhealthy or extreme strategies is as high as 44 and 13%, respectively. Overall, a similar proportion of males and females endorsed the use of each category of weight loss strategies across studies. This similarity is important to note given the tendency for the literature to focus on females when examining weight loss behaviours. This phenomenon is reflected in the studies included in this review, of which 32% had all-female samples, and no studies examining all-male samples. While trends do suggest that females are more concerned with weight loss while males are more concerned with increasing muscle [65], an overemphasis on young females may obscure the rate of risky behaviours engaged in by young males who are trying to lose weight, including the use of unhealthy and extreme strategies.
Still, given the differences in motivating factors, young females may require special attention with regards to education about weight loss behaviours. As noted, research suggests that appearance is a primary motivator for young females to lose weight, rather than health. Thus, additional efforts are needed to promote healthy body shape and body image in young females, to supplement the promotion of health. Doing so is likely to decrease the frequency with which youth are engaging in these dangerous behaviours. Indeed, research suggests that the use of unhealthy and extreme weight loss strategies is linked to other risky behaviours (e.g., using indoor tanning beds, using drugs) [66], some of which are likely also motivated by appearance concerns.
Results of this review demonstrate the prevalence of using extreme weight loss strategies was as high as 27% in Native-American young females -the highest of any race/ethnicity examined for that category. Four studies included in the review examined samples of Native-Americans exclusively, but demonstrated no clear pattern regarding the preference to use specific strategies by sex. The use of unhealthy strategies was observed to be as high as 69% in young African-American females, 73% in young Caucasian females, and 75% in young Hispanic females. Given the observational nature of this study, however, no conclusions can be drawn regarding risk for females in these groups at this time, and further research is needed.
Surprisingly, very little data was available regarding the use of particular weight loss strategies across weight status categories based on measured weight status. Of note is the contrast among endorsement rates for the use of extreme strategies between measured and perceived weight status, where 1-3% of females across weight categories endorsed their use based on measured weight status, but that up to 44 and 70% of normal weight and overweight/obese females endorse the use of extreme strategies based on perceived size. As noted above, this misperception of weight in youth appears to play a role in the weight loss strategies favoured by youth, and may lead to the use of maladaptive behaviours. Again, while sex differences for the use of particular weight loss strategies were not examined in any study, it appears as though young females are using extreme strategies to a much greater extent than male counterparts in the same weight category, a difference that does not appear across the use of healthy or unhealthy strategies. Given the significant lack of information in this area, further research is urgently needed to examine how weight status, body image perceptions, and sex are related to weight control behaviours.

Limitations
This systematic review focused on Canadian and American youth, however variability in study methodology and quality precluded the carrying out of a meta-analysis. Insights into sex differences across demographic characteristics and weight status were thus weakened by the limited literature and more studies focusing on weight loss intentions and strategies specifically are needed. Further, results from this review cannot be generalized beyond the United States and Canada.
Study quality and rigour was decreased primarily due to a lack of methodological information (such as a sample size calculation, psychometric properties of measures, and response rates). Although some of these details may be more pertinent to cohort studies, the quality assessment tool used was specifically designed to evaluate cross-sectional studies. Studies were excluded if they did not provide sufficient data necessary for inclusion in this systematic review (such as weight loss strategies which were too broadly defined). Although it is possible that these studies did not collect greater detailed information on weight intentions and weight loss strategy use, it is also possible that several categories were collapsed due to insufficient numbers. This may impact the lower bounds of our estimates such that they are overestimated.
One major limitation of the existing literature is our observation that no study assessing weight loss intentions and strategy use examined the use of multiple strategies in tandem with one another. This is an important concern, as while the high rates of endorsement for the use of healthy weight loss strategies is encouraging, it is unclear the extent to which these are being used alongside more deleterious methods. Another important limitation to note is that no study that met criteria for inclusion in this review reported prevalence information based on socio-economic characteristics. Given the well documented relationship among race/ ethnicity, socio-economic status, and health [67,68], researchers need to report basic data for such characteristics when examining health and weight loss behaviours, and should consider these factors in their analyses.

Implications
Several important implications from this systematic review are apparent. As considerable methodological variation in study measures were found, further research on harmonizing these measures are needed in order for meta-analyses to be conducted and more reliable conclusions to be drawn. For instance, weight loss strategies were commonly described in very broad terms (e.g., "dieting"), and effort in creating stricter guidelines with regards to measurement methodology for research on weight loss behaviours is needed. Better defining strategies may be particularly important as research indicates that dietary changes are reportedly stronger contributors to weight loss than exercise [69,70]. Similarly, there was considerable variability in the measurement of weight loss intentions, which is commonly measured as either 'current' intentions, or lifetime intentions. Thus there is a concern for recall bias, particularly from the studies which use 'lifetime' intentions.
Further, weight loss and weight maintenance intentions are commonly grouped together into a single survey question when examining weight change strategies (e.g., which of the following strategies did you use to "to lose weight or keep from gaining weight"). Very few studies reported weight loss strategy use separately from weight maintenance, resulting in the relatively small sample of studies included in this review. This is an important distinction given that weight loss and weight maintenance are cognitively different goals, and lead to differences in the use of particular weight change strategies [32,71]. Thus, grouping them together may obscure these important differences.
The literature is limited by an over-emphasis on cross-sectional studies, and the longitudinal implications of using healthy, unhealthy or extreme strategies remain unclear. In particular, it is unknown whether the age at which youth first attempt weight loss is associated with the types of strategies used. Additional research is needed to refine our understanding of how weight loss behaviours are developed and maintained in youth.

Conclusion
In this systematic review, several patterns emerged regarding the prevalence of weight loss intentions and strategy use between young females and males across demographic groups and by weight status. However, insufficient data based on race/ethnicity and weight status limit our abilities to conclude whether sex differences based on these characteristics exist, and further research is needed. The development of standardized measures and guidelines for research methodology related to weight loss intentions and strategies in youth is also warranted to reliably assess trends in future research.