Perceived weight gain as a correlate of physical activity and energy intake among white, black, and Hispanic reproductive-aged women

Changing behaviour 'more or less'-do theories of behaviour inform strategies for implementation and de-implementation? A critical interpretive synthesis

BACKGROUND

Implementing evidence-based care requires healthcare practitioners to do less of some things (de-implementation) and more of others (implementation). Variations in effectiveness of behaviour change interventions may result from failure to consider a distinction between approaches by which behaviour increases and decreases in frequency. The distinction is not well represented in methods for designing interventions. This review aimed to identify whether there is a theoretical rationale to support this distinction.

METHODS

Using Critical Interpretative Synthesis, this conceptual review included papers from a broad range of fields (biology, psychology, education, business) likely to report approaches for increasing or decreasing behaviour. Articles were identified from databases using search terms related to theory and behaviour change. Articles reporting changes in frequency of behaviour and explicit use of theory were included. Data extracted were direction of behaviour change, how theory was operationalised, and theory-based recommendations for behaviour change. Analyses of extracted data were conducted iteratively and involved inductive coding and critical exploration of ideas and purposive sampling of additional papers to explore theoretical concepts in greater detail.

RESULTS

Critical analysis of 66 papers and their theoretical sources identified three key findings: (1) 9 of the 15 behavioural theories identified do not distinguish between implementation and de-implementation (5 theories were applied to only implementation or de-implementation, not both); (2) a common strategy for decreasing frequency was substituting one behaviour with another. No theoretical basis for this strategy was articulated, nor were methods proposed for selecting appropriate substitute behaviours; (3) Operant Learning Theory makes an explicit distinction between techniques for increasing and decreasing frequency.

DISCUSSION

Behavioural theories provide little insight into the distinction between implementation and de-implementation. Operant Learning Theory identified different strategies for implementation and de-implementation, but these strategies may not be acceptable in health systems. Additionally, if behaviour substitution is an approach for de-implementation, further investigation may inform methods or rationale for selecting the substitute behaviour.

Dietary intake and eating behavior in depot medroxyprogesterone acetate users: a systematic review

Because of weight gain, women often discontinue hormonal contraception, especially depot medroxyprogesterone acetate (DMPA). Our objective was to conduct a systematic review of studies describing dietary intake or eating behavior in DMPA users to understand whether the use of DMPA is associated with changes in dietary habits and behaviors leading to weight gain. We searched the PubMed, POPLINE, CENTRAL Cochrane, Web of Science, and EMBASE databases for reports published in English between 1980 and 2017 examining dietary intake or eating behavior in healthy women in reproductive age and adolescents using DMPA (150 mg/mL). Of the 749 publications screened, we excluded 742 due to duplicates (96), not addressing the key research question (638), not reporting dietary intake data (4), and not evaluating the relationship of body weight and dietary or eating behaviors (4). We identified seven relevant studies, including one randomized placebo-controlled trial, one non-randomized paired clinical trial, and five cohort studies. The randomized trial found no association and the other reports were inconsistent. Findings varied from no change in dietary intake or eating behavior with DMPA use to increased appetite in the first six months of DMPA use. Few studies report dietary intake and eating behavior in DMPA users and the available data are insufficient to conclude whether DMPA use is associated with changes in dietary habits or behavior leading to weight gain.

Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies

BACKGROUND

Late adolescence to early adulthood is a period of lifestyle change and personal development which may influence dietary behaviour. Understanding dietary trajectories across this age range may help in targeting interventions appropriately. This scoping review aimed to assess how longitudinal change in diet is conceptualised and measured between the ages of 13 to 30.

METHODS

We searched Medline, SCOPUS, Embase, PsycInfo (EBSCO), ASSIA, Sportdiscus, and Web of Science Core Collection (January 2016) using search terms combining diet outcomes, longitudinal methods and indicators of adolescent or young adult age. Titles and abstracts were screened and data extracted following published guidelines for scoping reviews. Data were analysed to summarize key data on each study and map availability of longitudinal data on macronutrients and food groups by age of study participants.

RESULTS

We identified 98 papers reporting on 40 studies. Longitudinal dietary data were available on intake of energy, key macronutrients and several food groups, but this data had significant gaps and limitations. Most studies provided only two or three waves of data within the age range of interest and few studies reported data collected beyond the early twenties. A range of dietary assessment methods were used, with greater use of less comprehensive dietary assessment methods among studies reporting food group intakes.

CONCLUSION

Despite limited availability of longitudinal data to aid understanding of dietary trajectories across this age range, this scoping review identified areas with scope for further evidence synthesis. We identified a paucity of longitudinal data continuing into the mid and late twenties, variability in (quality of) dietary assessment methods, and a large variety of macronutrients and food groups studied. Advances in dietary assessment methodologies as well as increased use of social media may facilitate new data collection to further understanding of changing diet across this life stage.

Why are adult women physically active? A systematic review of prospective cohort studies to identify intrapersonal, social environmental and physical environmental determinants

OBJECTIVE

This study aims to systematically review available evidence from prospective cohort studies to identify intrapersonal, social environmental and physical environmental determinants of moderate-to-vigorous intensity physical activity (MVPA) among working-age women.

METHODS

Six databases were searched to identify all prospective cohort studies that reported on intrapersonal (e.g. self-efficacy and socioeconomic status [SES]), social (e.g. crime, area SES and social support) and/or physical (e.g. weather, work and recreation) environmental determinants of MVPA in working-age (mean 18-65 years) women. A qualitative synthesis including harvest plots was completed.

PROSPERO

CRD42014009750 RESULTS: Searching identified 17,387 potential articles; 97 were used in the analysis. The majority (n = 87 studies) reported on ≥1 intrapersonal determinant. Very few (n = 34) examined factors in the social or physical environments, and none looked at social policy. Positive and consistent influencers included higher self-efficacy (n = 18/23), self-rated health (n = 8/13) and intentions (n = 10/11) and perceived behavioural control (n = 5/7) to be physically active. Having children in the household was negatively related to MVPA (n = 9/15).

CONCLUSIONS

Physical activity intervention studies should consider a woman's level of self-efficacy and perceived behavioural control to be physically active. Additional studies are needed on the impact of children in the household, having a spouse/partner and using group goal setting. More evidence is needed to evaluate the impact of environmental factors.

Obesity-Related Dietary Behaviors among Racially and Ethnically Diverse Pregnant and Postpartum Women

Introduction. Obesity is common among reproductive age women and disproportionately impacts racial/ethnic minorities. Our objective was to assess racial/ethnic differences in obesity-related dietary behaviors among pregnant and postpartum women, to inform peripartum weight management interventions that target diverse populations. Methods. We conducted a cross-sectional survey of 212 Black (44%), Hispanic (31%), and White (25%) women, aged ≥ 18, pregnant or within one year postpartum, in hospital-based clinics in Baltimore, Maryland, in 2013. Outcomes were fast food or sugar-sweetened beverage intake once or more weekly. We used logistic regression to evaluate the association between race/ethnicity and obesity-related dietary behaviors, adjusting for sociodemographic factors. Results. In adjusted analyses, Black women had 2.4 increased odds of fast food intake once or more weekly compared to White women (CI = 1.08, 5.23). There were no racial/ethnic differences in the odds of sugar-sweetened beverage intake. Discussion. Compared with White or Hispanic women, Black women had 2-fold higher odds of fast food intake once or more weekly. Black women might benefit from targeted counseling and intervention to reduce fast food intake during and after pregnancy.

Preventing excessive weight gain among publicly insured pregnant women

The purpose of this study is to develop an intervention to help women meet weight gain goals during pregnancy. From 2007 to 2008, pregnant women were recruited at a clinic in Chicago. Intervention participants received an educational pamphlet at their first prenatal visit. At follow up visits, provider counseling was encouraged via a weight gain trend graph and targeted feedback checklist. The primary outcome was the total weight gained over the course of prenatal care. We analyzed 57 intervention group participants and 109 controls. Demographic composition was similar between the groups except for parity. Patients in the intervention group and routine care group gained similar weight (24.5 + 13.5 lb vs. 25.3 + 14.0 lb, P = 0.71). After controlling for baseline weight, the intervention was associated with 4.6 pounds lower follow-up weight (P = 0.029). After controlling for baseline BMI and other covariates, participants who received the intervention were only 34% as likely to gain weight exceeding IOM guidelines (P = 0.009). This pilot prenatal care obesity prevention project was associated with lower weight gain in pregnancy. The feedback checklist, weight gain graph, and educational pamphlet on weight gain proved to be favorable components of this project and merit further examination in a larger intervention trial.

Self-perception of weight gain among multiethnic reproductive-age women

OBJECTIVE

To examine the accuracy of self-perception of weight gain and its correlates in a multiethnic reproductive-age population of women.

METHODS

A total of 608 women (balanced by contraceptive methods and race/ethnicity) self-reported their perceptions of weight gain at baseline and every 6 months thereafter for 36 months. Data regarding body weight, height, and other covariates were also obtained. Women with at least two follow-up visits were included in the final analysis. Generalized estimating equations (GEE) models were used to examine correlates of the accuracy of self-perception of weight gain over time.

RESULTS

Overall, 466 women had at least two follow-up visits with 1744 total observations over 36 months. In total, 44%, 30%, 19%, 12%, and 8% observations had at least 1, 2, 3, 4, and 5 kg weight gain in 6 months while 59%, 67%, 73%, 78%, and 85% of women accurately recognized it, respectively. Depot medroxyprogesterone (DMPA) users were more likely than nonhormonal method users (69%/51%, 76%/59%, 81%/63%, 85%/59%, and 93%/71%), and blacks more likely than whites (70%/51%, 76%/59%, 83%/65%, 90%/68%, and 95%/78%) (p<0.05 for all) to recognize weight gains of 1, 2, 3, 4, and 5 kg. The differences remained significant after adjusting for covariates using GEE. A significant difference was also observed between DMPA and oral contraceptive users.

CONCLUSIONS

Inability to recognize weight gain is common among young women. Both race/ethnicity and contraceptive methods influence the accurate perception of weight gain. Clinicians should provide patient-specific counseling to address the frequent inaccuracies to recognize weight gain.

Self-perception of weight and its association with weight-related behaviors in young, reproductive-aged women

OBJECTIVES

To examine weight misperceptions and their predictors and association with weight-related behaviors among low-income, multiethnic, reproductive-age women.

METHODS

We assessed perceptions of body weight and weight-related behaviors of women aged 18 to 25 attending one of five publicly funded reproductive clinics in Texas between August 2008 and March 2010. Data were collected through self-administered questionnaires and chart review. Overweight and normal-weight women were divided into four categories based on self-perception of their body weight: overweight misperceivers, overweight actual perceivers, normal-weight misperceivers, and normal-weight actual perceivers. Multivariable logistic regression analyses were performed to examine the predictors of misperception and the association with weight-related behaviors.

RESULTS

Twenty-three percent (267/1,162) of overweight and 16% (170/1,062) of normal-weight women were misperceivers. Overweight African-American women were more likely to consider themselves normal weight (28% compared with 15%; odds ratio [OR], 2.84; 95% confidence interval [CI], 1.79-4.50), whereas normal-weight African-American women were less likely than whites to consider themselves overweight (7% compared with 16%; OR 0.40; 95% CI 0.22-0.74). Overweight women who had at least some college education (14% compared with 29%; OR 0.53; 95% CI 0.32-0.86) and used the Internet (18% compared with 28%; OR 0.47; 95% CI 0.31-0.70) were less likely to misperceive their body weight. Normal-weight misperceivers were more likely to report healthy and unhealthy weight-reduction behaviors compared with normal-weight actual perceivers, after adjusting for age, race, ethnicity, and body mass index. Opposite scenarios were observed for overweight misperceivers.

CONCLUSION

Weight misperception is common among both overweight and normal-weight women of reproductive age. Clinicians should provide patient-specific counseling related to healthy weight management goals that take each patient's perceptions into consideration.