Abstract

BackgroundAge-adjusted rates of obesity are reported to be 35.8 % among US adult women and 49 % in some race/ethnicity, underserved populations. (1). Underserved populations often have less access to weight-loss intervention options and are at high risk for obesity related problems including anovulation, infertility, pregnancy-related complications and adverse long-term health outcomes. (2). The purpose of this study was to evaluate a home exercise plan using a pedometer on weight loss, ovulation induction and pregnancy rates in our overweight and obese underserved clinic population.MethodsTwenty one overweight (BMI ≥ 25–29.9) and obese I-II (BMI ≥ 30–39.9) 18–42 years old were recruited. Participants received an exercise/nutrition questionnaire at the initiation and completion and called weekly for 4 weeks. Ten participants were randomly assigned to the home exercise program (PedGp). PedGp received a pedometer, daily step-count goal, and were called to increase goal by 50 % weekly. All participants then underwent clomiphene stair-step ovulation induction. All study participants were referred to the University Wellness Clinic for diet and exercise counseling.ResultsThere were high percentages of women with co-morbidities in both groups including fatty liver, low vitamin D, hyperlipidemia, hypothyroidism, prediabetes and diabetes.1. Those completing the 4-week home program increased baseline steps by 21.2 % weekly. Only 3/10 women reached at least one weekly goal of 50 % increase. Although the goal was rarely met, participants who completed study had increased number of daily steps.2. Greater number in PedGp lost weight or stayed the same (5/10 vs. 2/11).3. Greater number in PedGp spontaneously ovulated (4/10 vs. 1/11) or became pregnant (4/10 vs. 3/11). (not statistically significant due to small sample size).ConclusionThere are high percentages of comorbidities in this population. Although the goal was rarely met, participants who completed study had increased number of daily steps. A greater number in PedGp lost weight or stayed the same. A greater number in PedGp spontaneously ovulated or became pregnant (not statistically significant due to small sample size). Importantly, 40 % of women who lost weight became pregnant. This is highly encouraging and suggests that the development of pedometer interventions may prove a cost effective option. Weight loss programs for this population hold promise and efficient hospital or community-based programs may prove beneficial.

Highlights

  • Age-adjusted rates of obesity are reported to be 35.8 % among US adult women and 49 % in some race/ethnicity, underserved populations. (1)

  • Per the 2013 California Office of Statewide Health Planning and Development (OSHPD) census, Hispanics constitute over 60 % of the population in the surrounding Medical Service Study Area (MSSA), with 68 % of the population determined to be within 200 % of the federal poverty

  • Study participants were recruited from the Reproductive Endocrinology (REI) Clinic who were seeking fertility evaluation and treatment

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Summary

Introduction

Age-adjusted rates of obesity are reported to be 35.8 % among US adult women and 49 % in some race/ethnicity, underserved populations. (1). Underserved populations often have less access to weight-loss intervention options and are at high risk for obesity related problems including anovulation, infertility, pregnancy-related complications and adverse long-term health outcomes. In 2012, 35.8 % of adult US women are categorized as obese (BMI ≥ 30 kg/m2), and this increases to up to 49 % in some racial, underserved populations [1] Within this setting, many of these patients have polycystic ovarian syndrome, which contributes to their infertility. Many of these patients have polycystic ovarian syndrome, which contributes to their infertility These populations are at high risk for obesity related problems including infertility, anovulation, pregnancy-related complications and adverse long-term health outcomes [2]. Higher BMI values are associated with poorer outcomes

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