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临床试验/NCT04131023
NCT04131023已完成不适用

Metabolic Tracking During Pregnancy to Promote Adequate Gestational Weight Gain

Arizona State University2 个研究点 分布在 1 个国家目标入组 34 人开始时间: 2017年9月17日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
已完成
入组人数
34
试验地点
2
主要终点
Change in Gestational Weight Gain

研究概览

简要总结

In this study, the investigators aimed to have pregnant women use a hand-held device to track increases in daily caloric needs during pregnancy. Weight gain was assessed over time with the goal of reducing excessive gestational weight gain relative to a group of pregnant women who received standard prenatal care.

详细描述

Specific Aims

The investigators pursued the following specific aims:

  1. Evaluate the impact of a mobile, real-time metabolism tracking device on gestational weight gain (GWG) (i.e. total weight gain and rate of weight gain) in pregnant women. The investigators postulated that the metabolism tracking (Breezing) group would have a higher proportion of women who gain the appropriate amount of weight per IOM recommendations. Further, the investigators expected the women in the Breezing group to gain a mean weight within +/- 3 lbs of their recommended GWG range per IOM guidelines, compared to standard care-receiving controls.
  2. Assess changes in resting energy expenditure during pregnancy in relation to self-reported dietary intake (at baseline, 4 weeks, 8 weeks, and 12 weeks). The investigators hypothesized that energy requirements would change across the second trimester and that self-reported caloric intakes would correlate with resting energy expenditure (REE)-corrected values (from Breezing) for women in the Breezing group.

Exploratory Aims

  1. Evaluate the associations among objective and self-reported sleep parameters (actigraphic total sleep time, sleep onset latency, wake after sleep onset, and mid-sleep point; sleep diary total sleep time, sleep onset latency, wake after sleep onset, and mid-sleep point; insomnia symptoms; and sleep disordered breathing risk) and GWG within the Breezing and control groups.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
Female
接受健康志愿者

入选标准

  • All English and Spanish-speaking, pregnant women
  • Gestational age < 17 weeks at time of recruitment
  • Aged 18 years or older

排除标准

  • High-risk pregnancies that include the following diseases or conditions: fetal growth problems, medical history of hypertension, gastrointestinal disorders, malabsorptive diseases, hyper or hypo-parathyroid conditions, HIV, diabetes (Types 1 and 2 or gestational diabetes), asthma/lung disease, cardiac disease or conditions, current smoker (i.e. women who have smoked 100 cigarettes in their lifetime and now smoke every day or some days) history of eating disorder, or other metabolic conditions known to affect maternal health and fetal development
  • Women pregnant with multiple gestations

研究组 & 干预措施

Metabolic Tracking

Experimental

Metabolism (indirect calorimetry) tracking was performed

干预措施: Breezing Metabolic Rate Tracking (Behavioral)

Standard Care

No Intervention

Metabolic (indirect calorimetry tracking was not performed

结局指标

主要结局

Change in Gestational Weight Gain

时间窗: 0 weeks, 3 weeks, 5 weeks, 7 weeks, 9 weeks, 11 weeks, 13 weeks

Change in body weight from study baseline to 13 weeks

Change in Resting Energy Expenditure

时间窗: 0 weeks, 3 weeks, 5 weeks, 7 weeks, 9 weeks, 11 weeks, 13 weeks

Change in resting energy expenditure, measued by indirect calorimetry, from study baseline to 13 weeks

次要结局

  • Change in Total Sleep Time(0 weeks, 5 weeks, 11 weeks)
  • Change in Wake After Sleep Onset(0 weeks, 5 weeks, 11 weeks)
  • Change in Sleep Onset Latency(0 weeks, 5 weeks, 11 weeks)
  • Change in Mid-Sleep Point(0 weeks, 5 weeks, 11 weeks)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Corrie Whisner

Assistant Professor

Arizona State University

研究点 (2)

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