Development and feasibility of a web-based gestational weight gain intervention for women with pre-pregnancy overweight or obesity

被引:1
|
作者
Waring, Molly E. [1 ,2 ,3 ,4 ,7 ]
Simas, Tiffany A. Moore [3 ,4 ,5 ,6 ]
Heersping, Grace E. [1 ]
Rudin, Lauren R. [1 ]
Balakrishnan, Kavitha [3 ]
Burdick, Abigail R. [1 ]
Pagoto, Sherry L. [1 ,2 ]
机构
[1] Univ Connecticut, Dept Allied Hlth Sci, Storrs, CT USA
[2] Univ Connecticut, UConn Ctr mHlth & Social Media, Storrs, CT USA
[3] Univ Massachusetts, Chan Med Sch, Dept Populat & Quantitat Hlth Sci, Worcester, MA USA
[4] Univ Massachusetts, Chan Med Sch, UMass Mem Hlth Care, Dept Obstet & Gynecol, Worcester, MA USA
[5] Univ Massachusetts, Chan Med Sch, UMass Mem Hlth Care, Dept Pediat, Worcester, MA USA
[6] Univ Massachusetts, Chan Med Sch, UMass Mem Hlth Care, Dept Psychiat, Worcester, MA USA
[7] Univ Connecticut, Dept Allied Hlth Sci, 358 Mansfield Rd,Unit 1101, Storrs, CT 06269 USA
关键词
Pregnancy; gestational weight gain (GWG); website; lifestyle intervention; pilot study; PREGNANCY; SERVICES; BARRIERS;
D O I
10.21037/mhealth-22-49
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Excessive gestational weight gain is associated with negative maternal and infant health outcomes. Digital health approaches may help overcome barriers to participating in lifestyle interventions requiring in-person visits. The purpose of this study was to develop and examine the feasibility of a web based gestational weight gain intervention.Methods: Intervention development included feedback and input from pregnant women. We conducted a 12-week one-arm pilot study during which participants engaged in an online discussion board with coaches and other pregnant women, tracked their weight gain with an interactive graph, and accessed a list of online resources for pregnancy health. Feasibility outcomes were recruitment, retention, engagement and sustained participation, intervention acceptability, and website usability. Gestational weight gain was an exploratory outcome.Results: Participants (n=12) were on average 16.8 (SD: 2.0) weeks gestation with average pre-pregnancy body mass index of 30.5 (SD: 4.8) kg/m2. Participant retention was 92% (n=11). Participants logged into the website a median of 21 times (IQR, 8-37; range, 2-98) over 12 weeks, and 58% (n=7) logged into the website during the last week of the intervention. All participants said they would be very likely or likely to participate again, and 100% said they would be very likely or likely to recommend the intervention to a pregnant friend. In post-intervention interviews, 64% (n=7) explicitly said that the website was easy to use, but 100% (n=11) mentioned usability issues. When asked their preferred intervention platform, 18% (n=2) somewhat or strongly preferred a private website, 18% (n=2) had no preference, and 64% (n=7) somewhat or strongly preferred Facebook. Seventy percent (n=7) had excessive gestational weight gain, 10% (n=1) inadequate gestational weight gain, and 20% (n=2) gained within recommended ranges.Conclusions: Additional development work is needed before moving to efficacy testing. Most notably, usability issues with the investigator-developed website and participant preference suggest a switch to a commercial social media platform.
引用
收藏
页码:10 / 14
页数:5
相关论文
共 50 条
  • [1] Factors associated with early gestational weight gain among women with pre-pregnancy overweight or obesity
    Emery, Rebecca L.
    Benno, Maria Tina
    Conlon, Rachel P. K.
    Marcus, Marsha D.
    Levine, Michele D.
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2021, 41 (06) : 864 - 869
  • [2] Interest in an Instagram-delivered gestational weight gain intervention among pregnant women with pre-pregnancy overweight or obesity
    Waring, Molly E.
    Arigo, Danielle
    Rudin, Lauren R.
    Pagoto, Sherry L.
    Simas, Tiffany A. Moore
    Horkachuck, Alexa B.
    MHEALTH, 2024, 10 (02)
  • [3] Pre-pregnancy obesity, gestational diabetes or gestational weight gain: Which is the strongest predictor of pregnancy outcomes?
    Bianchi, Cristina
    de Gennaro, Giovanni
    Romano, Matilde
    Aragona, Michele
    Battini, Lorella
    Del Prato, Stefano
    Bertolotto, Alessandra
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2018, 144 : 286 - 293
  • [4] Childhood maltreatment and the risk of pre-pregnancy obesity and excessive gestational weight gain
    Diesel, Jill C.
    Bodnar, Lisa M.
    Day, Nancy L.
    Larkby, Cynthia A.
    MATERNAL AND CHILD NUTRITION, 2016, 12 (03) : 558 - 568
  • [5] Child academic achievement in association with pre-pregnancy obesity and gestational weight gain
    Pugh, Sarah J.
    Hutcheon, Jennifer A.
    Richardson, Gale A.
    Brooks, Maria M.
    Himes, Katherine P.
    Day, Nancy L.
    Bodnar, Lisa M.
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2016, 70 (06) : 534 - 540
  • [6] Maternal pre-pregnancy obesity and gestational weight gain influence neonatal neurobehaviour
    Aubuchon-Endsley, Nicki
    Morales, Monique
    Giudice, Christina
    Bublitz, Margaret H.
    Lester, Barry M.
    Salisbury, Amy L.
    Stroud, Laura R.
    MATERNAL AND CHILD NUTRITION, 2017, 13 (02)
  • [7] Assessing the Accuracy of Pregnant Women in Recalling Pre-Pregnancy Weight and Gestational Weight Gain
    Russell, Amy
    Gillespie, Stephanie
    Satya, Suma
    Gaudet, Laura M.
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA, 2013, 35 (09) : 802 - 809
  • [8] Diet, Pre-pregnancy BMI, and Gestational Weight Gain in Puerto Rican Women
    Guilloty, Natacha I.
    Soto, Roxana
    Anzalota, Liza
    Rosario, Zaira
    Cordero, Jose F.
    Palacios, Cristina
    MATERNAL AND CHILD HEALTH JOURNAL, 2015, 19 (11) : 2453 - 2461
  • [9] Diet, Pre-pregnancy BMI, and Gestational Weight Gain in Puerto Rican Women
    Natacha I. Guilloty
    Roxana Soto
    Liza Anzalota
    Zaira Rosario
    José F. Cordero
    Cristina Palacios
    Maternal and Child Health Journal, 2015, 19 : 2453 - 2461
  • [10] Pre-pregnancy obesity and maternal circadian cortisol regulation: Moderation by gestational weight gain
    Aubuchon-Endsley, Nicki L.
    Bublitz, Margaret H.
    Stroud, Laura R.
    BIOLOGICAL PSYCHOLOGY, 2014, 102 : 38 - 43