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Strategies and Challenges in Recruiting Pregnant Women with Elevated Body Mass Index for a Behavioral Lifestyle Intervention.

ABSTRACT: Purpose: Pregnant women with elevated body mass index (BMI) are difficult to recruit into lifestyle studies. This article (1) summarized strategies to recruit pregnant women into a randomized trial, and (2) reported recruitment statistics and their correlates. Materials and Methods: African American and white women with BMI ≥25 and gestational age <16 weeks were recruited primarily through obstetric clinics into the Health in Pregnancy and Postpartum study. Women completed a brief screening form, and if initially eligible, a phone screening. We compared characteristics of those randomized versus not randomized. Results: Initially eligible pregnant women (N = 1578) were identified through direct recruitment by research staff, indirect recruitment by clinic staff at obstetric clinics, and self-referrals through advertisements. Of these women, 54.0% (850) were reached for further screening, and 43.5% (685) were fully eligible. Among eligible women, 58.8% (403) were scheduled for a baseline visit, and 33.3% (228) were randomized. The overall recruitment yield was 14.4%. Recruited participants were diverse (44% African Americans) and averaged 12.6 weeks gestation at baseline. Randomized (vs. nonrandomized) women were more likely to own a cell phone, have access to a computer with internet at home or work, and have downloaded a podcast. Conclusions: Although this study did not reach the recruitment goal, a relatively large and diverse sample of pregnant women were recruited early in pregnancy. Recruiting women with elevated BMI for a behavioral lifestyle intervention is challenging, particularly among women with characteristics, including less phone and internet access and limited experience in using podcasts. This study is registered at Clinicaltrials.gov: NCT02260518.

SUBMITTER: Liu J

PROVIDER: S-EPMC7785065 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundBody image is known as an important factor affecting different aspects of adolescents' health; however, its relationship with lifestyle, body mass index (BMI), and health-related quality of life (HRQoL) in Iranian adolescents has not been addressed in a conceptual model.ObjectivesThis study aimed to investigate the network associations among body image, lifestyle, BMI, and HRQoL in adolescent boys and girls.MethodsThe present study examined 760 adolescents (15 - 18 years) from Tehran. Adolescents reported their weight and height, according to which the participants' BMIs were calculated. The adolescents' body image, lifestyle, and HRQoL were assessed using a set of questionnaires, including the Body Image Scale for Youth (BISY), Modifiable Activity Questionnaire (MAQ), Eating Habits Checklist, Eating Attitudes Test (EAT-26), and Pediatric Quality of Life Inventory (PedsQLTM).ResultsThe participants' mean age and BMI were 16.5 ± 1.0 years and 22.4 ± 4.6 kg/m2, respectively. More than one-third of boys (39.9%) and less than a quarter of girls (22.6%) were overweight/obese. In the final model, body image was significantly and directly associated with physical activity, disordered eating, eating habits, and HRQoL in both genders (P < 0.05). Moreover, body image was directly correlated with screen time in boys (P = 0.012) and BMI in girls (P = 0.001). Body image was indirectly correlated with BMI by the mediating role of disordered eating in girls. Moreover, body image was indirectly associated with HRQoL by the mediating role of physical activity and eating habits in both genders and screen time only in boys.ConclusionsThe network associations among body image, lifestyle, BMI, and HRQoL revealed a gender-specific pattern among the study population. Body image was a significant determinant of lifestyle and HRQoL in both genders and excessive weight in girls. The present findings would contribute to designing and implementing relevant health promotion interventions.

Project description:BackgroundNowadays, the burden of non-communicable diseases including obesity has been an increasing public health concern. This menace can be monitored using indexing method like body mass index. Studies indicate that socioeconomic indicators such as income, biology, behavior, and demographic factors associated with body mass index. In Ethiopia, few studies associate wealth index with body mass index in people of ages between 15 and 49. This study was aimed to assess the association of body mass index with wealth index, and behavioral and sociodemographic population characteristics.MethodsA cross-sectional population-based study was conducted using the 2016 Ethiopian Demographic and Health Survey population of ages 15-49. A total of 10,245 individuals were considered to detect the effect of socioeconomic, biological, behavioral, and demographic factors on body mass index using logistic regression.ResultsThe prevalence of underweight, overweight, and obesity among men are 23.8%, 6.6%, and 2.0%, respectively, which is lower than that of women (underweight 25.3%, overweight 9.1%, and obesity 2.9%). The poorest men had higher odds of being underweight (adjusted odds ratio = 2.395%; 95% confidence interval = 2.020-3.544) as compared to the richest men. Merchants and government employees have lower odds (adjusted odds ratio = 0.744; 95% confidence interval = 0.588-0.899) compared to men whose occupation is farming and labor, indicating that merchants and government employees are more likely to become overweight and obese compared to men who are farmers and laborers.ConclusionIt is concluded that wealth index is an important socioeconomic determinant of body mass index among men and women of age 15-49 in Ethiopia. A high prevalence of underweight, and overweight, and obesity is observed, which increases instances of non-communicable diseases. Effects of socioeconomic, biological, behavioral, and demographic indicators on body mass index differed according to sex.

Project description:ImportanceBody mass index (BMI) is used to diagnose obesity in adolescents worldwide, despite evidence that weight does not scale with height squared in adolescents. To account for this, health care providers diagnose obesity using BMI percentiles for each age (BMI z scores), but this does not ensure that BMI is accurate in adolescents.ObjectiveTo compare the accuracy of BMI vs other body fat indices of the form body mass divided by heightn in estimating body fat levels in adolescents.Design, setting, and participantsCross-sectional data from the 1999 to 2006 US National Health and Nutrition Examination Survey were analyzed between September 2015 and December 2016.Main outcomes and measuresDual-energy x-ray absorptiometry and anthropometric data were used to determine changes in body fat levels, body proportions, and the scaling relationships among body mass, height, and percent body fat. To assess the merits of each adiposity index, 3 criteria were used: stability with age, accuracy in estimating percent body fat, and accuracy in classifying adolescents as overweight vs normal weight.ResultsParticipants included 2285 non-Hispanic white participants aged 8 to 29 years. Percent body fat varied with both age and height during adolescence, invalidating the standard weight-to-height regression as the way of finding the optimal body fat index. Because the correct regression model (percent body fat is proportional to mass divided by heightn) suggested that percent body fat scales to height with an exponent closer to 3, we therefore focused on the tri-ponderal mass index (TMI; mass divided by height cubed) as an alternative to BMI z scores. For ages 8 to 17 years, TMI yielded greater stability with age and estimated percent body fat better than BMI (R2?=?0.64 vs 0.38 in boys and R2?=?0.72 vs 0.66 in girls). Moreover, TMI misclassified adolescents as overweight vs normal weight less often than BMI z scores (TMI, 8.4%; 95% CI, 7.3%-9.5% vs BMI, 19.4%; 95% CI, 17.8%-20.0%; P?<?.001) and performed equally as well as updated BMI percentiles derived from the same data set (TMI, 8.4%; 95% CI, 7.3%-9.5% vs BMI, 8.0%; 95% CI, 6.9%-9.1%; P?=?.62).Conclusions and relevanceThe tri-ponderal mass index estimates body fat levels more accurately than BMI in non-Hispanic white adolescents aged 8 to 17 years. Moreover, TMI diagnoses adolescents as overweight more accurately than BMI z scores and equally as well as updated BMI percentiles but is much simpler to use than either because it does not involve complicated percentiles. Taken together, it is worth considering replacing BMI z scores with TMI to estimate body fat levels in adolescents.

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Strategies and Challenges in Recruiting Pregnant Women with Elevated Body Mass Index for a Behavioral Lifestyle Intervention.

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