Objective: Goal setting is a common feature of behavior change interventions, but it is unclear when goal setting is optimally effective. The aims of this systematic review and meta-analysis were to evaluate: (a) the unique effects of goal setting on behavior change, and (b) under what circumstances and for whom goal setting works best.Method: Four databases were searched for papers that assessed the unique effects of goal setting on behavior change using randomized controlled trials. 141 papers were identified from which 384 effect sizes (N = 16,523) were extracted and analyzed. A moderator analysis of sample characteristics, intervention characteristics, inclusion of other behavior change techniques, study design and delivery, quality of study, outcome measures and behavior targeted was conducted.Results: A random effects model indicated a small positive unique effect of goal setting across a range of behaviors, d = .34 (CI = .28 to .41). Moderator analyses indicated that goal setting was particularly effective if the goal was: (a) difficult, (b) set publicly, and (c) was a group goal. There was weaker evidence that goal setting was more effective when paired with external monitoring of the behavior/ outcome by others without feedback and delivered face-to-face. Conclusions: Goal setting is an effective behavior change technique thathas the potential to be considered a fundamental component of successful interventions. The present review adds novel insights into the means by which goal setting might be augmented to maximize behavior change and sets the agenda for future programs of research.2 KEYWORDS: goal setting, behavior change, randomized controlled trials, metaanalysis, systematic review Public Health SignificanceThe findings reported in the present review show that goal setting is an effective behavior change technique that can be considered a fundamental component of successful behavior change interventions.Findings suggest that optimally goals should be: (a) difficult but achievable, (b) set publicly, (c) set face to face, (d) set as a group goal and (e) set without drawing attention to goal commitment. There is also some indication that goal setting is particular effective in certain samples (i.e., school children, general population, male, younger people and those of Asian ethnicity) in particular settings (i.e., schools and workplaces). 3 Unique Effects of Goal Setting on Behavior Change: Systematic Review and Meta-AnalysisA goal is "the object or aim of an action" (Locke & Latham, 2002, p. 705) and goal setting is one of the fundamental techniques that public bodies and government agencies recommend to promote behavior change (e.g., NICE, 2014; NHBLI, 2000). Goal setting is considered to be a key element in helping individuals to regulate their own behavior and has been used in numerous fields including education (e.g., Bandura & Schunk, 1981), sport (e.g., Anshel, Weinberg & Jackson, 1992), health (e.g., Alexy, 1985), social behaviors (e.g., Madera, King & Hebl, 2013), product...

PurposePhysical activity (PA) typically declines throughout pregnancy. Low levels of PA are associated with excessive weight gain and subsequently increase risk of pre-eclampsia, gestational diabetes mellitus, hypertension disorders, delivery by caesarean section and stillbirth. Systematic reviews on PA during pregnancy have not explored the efficacy of behaviour change techniques or related theory in altering PA behaviour. This systematic review evaluated the content of PA interventions to reduce the decline of PA in pregnant women with a specific emphasis on the behaviour change techniques employed to elicit this change.Search and Review MethodologyLiterature searches were conducted in eight databases. Strict inclusion and exclusion criteria were employed. Two reviewers independently evaluated each intervention using the behaviour change techniques (BCT) taxonomy to identify the specific behaviour change techniques employed. Two reviewers independently assessed the risk of bias using the guidelines from the Cochrane Collaboration. Overall quality was determined using the GRADE approach.FindingsA total of 1140 potentially eligible papers were identified from which 14 studies were selected for inclusion. Interventions included counselling (n = 6), structured exercise (n = 6) and education (n = 2). Common behaviour change techniques employed in these studies were goal setting and planning, feedback, repetition and substitution, shaping knowledge and comparison of behaviours. Regular face-to-face meetings were also commonly employed. PA change over time in intervention groups ranged from increases of 28% to decreases of 25%. In 8 out of 10 studies, which provided adequate data, participants in the intervention group were more physically active post intervention than controls.Conclusions and ImplicationsPhysical activity interventions incorporating behaviour change techniques help reduce the decline in PA throughout pregnancy. Range of behaviour change techniques can be implemented to reduce this decline including goals and planning, shaping knowledge and comparison of outcomes. A lack of high quality interventions hampers conclusions of intervention effectiveness.

Background: Health prior to conception can significantly impact offspring health, however, a clear definition of the attributes of the preconception population is currently lacking. We aimed to use existing literature to explore the concept and attributes of a preconception population by: [1] identifying characteristics and research recruitment methods; and [2] generating an attribute-based working definition of a preconception population. Methods: A rapid review of current literature using CINAHL and the subject heading 'pre-pregnancy care' was conducted (Stage 1). Data extracted included definitions of preconception, participant inclusion/exclusion criteria, participant characteristics, and recruitment methods. Stage 2 involved a wider search of relevant publications beyond peer-reviewed literature followed by a concept analysis of the phrase "preconception population" applying Walker and Avant's framework (Stage 2). Results: Twenty-three papers (19 studies) were included in Stage 1. "Preconception" was explicitly defined in one study. Twelve studies specified participants must be planning a pregnancy. Stage 2 included 33 publications. Four key perspectives for the concept of the preconception population were derived: [1] intentional; [2] potential; [3] public health; and [4] life course. Conclusions: Adopting these perspectives may allow researchers to accurately define, identify and recruit preconception populations and to develop interventions that are appropriately broad or tailored depending on population needs. We hope the definitions will facilitate research with this population and will subsequently improve the wellbeing of preconception men and women, which is essential to ensuring the health of future generations.

The aim of this study was to conduct a systematic mapping review of the literature that explored associations of pregnancy intentions with health-related lifestyle behaviours and psychological wellbeing before and during pregnancy. Six databases were searched (May 2017) for papers relating to pregnancy intentions, health-related lifestyle behaviours, and psychological wellbeing. The literature was mapped according to the preconception or pregnancy period; prospective or retrospective variable assessment; and reported lifestyle behaviours and psychological wellbeing outcomes. Of 19,430 retrieved records, 303 studies were eligible. Pregnancy intentions were considered during the preconception period in 103 studies (only 23 assessed prospectively), and during the pregnancy period in 208 studies (141 prospectively). Associations between pregnancy intention and preconception behaviours/psychological wellbeing were primarily reported for supplement use (n = 58) and were lacking for diet/exercise, and psychological factors. For behaviours/psychological wellbeing during pregnancy, associations with pregnancy intention were focused on prenatal care (n = 79), depression (n = 61), and smoking (n = 56) and were lacking for diet/exercise. Only 7 studies assessed pregnancy intentions with a validated tool. Despite a large body of literature, there were several methodological limitations identified, namely assessment of pregnancy intentions with non-validated measures and the reliance on retrospective assessment. Future primary studies are needed to fill gaps in our understanding regarding energy-balance-related behaviours. Future studies (including reviews/meta-analyses) should take care to address the noted limitations to provide a comprehensive and accurate understanding of the relationships between pregnancy intentions and health-related lifestyle behaviours and psychological wellbeing before and during pregnancy.

Short Message Service (SMS)-delivered behaviour change interventions are frequently used to support weight management. This systematic review examines the effectiveness of SMS-delivered behaviour change interventions for weight management. Electronic databases were searched for randomised controlled trials (RCTs) comparing SMS-delivered adult weight management interventions to control groups, published between 1990 and 2018. Weight change was examined using random effects meta-analyses at intervention cessation and postintervention follow-up. Subgroup analyses examined intervention duration, SMS frequency, theory use, SMS interactivity, and SMS tailoring. Fifteen studies met inclusion criteria (2705 participants). For weight loss interventions (n = 12, 1977 participants), the mean difference in weight change was −2.28 kg (95% confidence interval [CI] −3.17 to −1.36 kg). No studies reported postintervention follow-up. For weight loss maintenance interventions (n = 3, 728 participants), the mean difference in weight change was −0.68 kg (95% CI, −1.31 to −0.05 kg), and postintervention follow-up (n = 2, 498 participants) effects were −0.57 kg (95% CI, −1.67 to 0.53 kg). No subgroup differences were found. SMS-delivered behaviour change interventions for weight loss led to significant small to moderate weight loss and weight loss maintenance compared with control groups. Evidence on long-term effects is limited. SMS-delivered behaviour change interventions are a potentially effective and scalable intervention option for obesity treatment.