Determinants of Pregnant Women’s Online Self-Regulatory Activities for Appropriate Gestational Weight Gain
Open accessAbstract
This study examined psychosocial and sociodemographic factors associated with pregnant women's use of Web-based tools to set and monitor personal goals for healthy diet and physical activity. These tools were made available to women participating in a randomized trial testing a Web-based intervention to promote appropriate gestational weight gain. We used data from a baseline survey of pregnant women assigned to the intervention group and log data on women's use of various intervention features (N = 873). Women who believed that appropriate gestational weight gain would lead to healthy outcomes for their child were more likely to engage in online goal-setting and self-monitoring. Less positive outcome expectancy beliefs about the relationship between their own weight and baby's health partially explains why some at risk subpopulations (e.g., African-American women) were less likely to utilize online self-regulatory tools. This study specifies key psychosocial and motivational factors that guide the construction and monitoring of goals among pregnant women. These findings offer guidance for the design of interventions to promote self-regulatory techniques by identifying groups for whom those features are most likely to be useful, as well as psychological determinants of their use.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Usage log data analyses can reveal useful insights about the impact and relevance of particular intervention components over the time course of an intervention.
“Such analyses can reveal useful insights about the impact and relevance of particular components over the time course of an intervention.”
From A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR) (2015) · cites this paper as [13]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117 · see citing works
Human agency in social cognitive theory.
Bandura, A. (1989) · American Psychologist · doi:10.1037/0003-066x.44.9.1175 · Cited by 8,263 · see citing works
Social cognitive theory of self-regulation
Bandura, A. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90022-l · Cited by 6,875 · see citing works
Weight Gain During Pregnancy: Reexamining the Guidelines
Rasmussen, K. M., & Yaktine, A. L. (2009) · Cited by 4,052 · see citing works
Effective techniques in healthy eating and physical activity interventions: A meta-regression.
Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009) · Health Psychology · doi:10.1037/a0016136 · Cited by 2,229 · see citing works
Thangaratinam, S., Rogozinska, E., Jolly, K., Glinkowski, S., Roseboom, T., Tomlinson, J. W., Kunz, R., Mol, B. W., Coomarasamy, A., & Khan, K. S. (2012) · BMJ · doi:10.1136/bmj.e2088 · Cited by 802 · see citing works
Maternal Obesity and Risk for Birth Defects
Watkins, M. L., Rasmussen, S. A., Honein, M. A., Botto, L. D., & Moore, C. A. (2003) · PEDIATRICS · doi:10.1542/peds.111.s1.1152 · Cited by 638 · see citing works
Goal Setting and Goal Striving in Consumer Behavior
Bagozzi, R. P., & Dholakia, U. M. (1999) · Journal of Marketing · doi:10.2307/1252098 · Cited by 602 · see citing works
Gestational weight gain and long-term postpartum weight retention: a meta-analysis
Nehring, I., Schmoll, S., Beyerlein, A., Hauner, H., & von Kries, R. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.015289 · Cited by 423 · see citing works
Exercise during pregnancy: A review of patterns and determinants
Gaston, A., & Cramp, A. G. (2011) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2011.02.006 · Cited by 352 · see citing works
Burke, L. E., Conroy, M. B., Sereika, S. M., Elci, O. U., Styn, M. A., Acharya, S. D., Sevick, M. A., Ewing, L. J., & Glanz, K. (2011) · Obesity · doi:10.1038/oby.2010.208 · Cited by 329 · see citing works
Bodie, G. D., & Dutta, M. J. (2008) · Health Marketing Quarterly · doi:10.1080/07359680802126301 · Cited by 310 · see citing works
Linde, J. A., Rothman, A. J., Baldwin, A. S., & Jeffery, R. W. (2006) · Health Psychology · doi:10.1037/0278-6133.25.3.282 · Cited by 307 · see citing works
The role of proximal intentions in self-regulation of refractory behavior
Bandura, A., & Simon, K. M. (1977) · Cognitive Therapy and Research · doi:10.1007/bf01186792 · Cited by 306 · see citing works
Thornton, P. L., Kieffer, E. C., Salabarría-Peña, Y., Odoms-Young, A., Willis, S. K., Kim, H., & Salinas, M. A. (2006) · Maternal and Child Health Journal · doi:10.1007/s10995-005-0025-3 · Cited by 290 · see citing works
Self-citationSchack‐Nielsen, L., Michaelsen, K. F., Gamborg, M., Mortensen, E. L., & Sørensen, T. I. A. (2009) · International Journal of Obesity · doi:10.1038/ijo.2009.206 · Cited by 280 · see citing works
Changing diet and physical activity to reduce gestational weight gain: a meta‐analysis
Gardner, B., Wardle, J., Poston, L., & Croker, H. A. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00884.x · Cited by 246 · see citing works
Maternal obesity and pregnancy outcomes
Castro, L. C., & Avina, R. L. (2002) · Current Opinion in Obstetrics & Gynecology · doi:10.1097/00001703-200212000-00005 · Cited by 233 · see citing works
Glasgow, R. E., Nelson, C. C., Kearney, K. A., Reid, R., Ritzwoller, D. P., Strecher, V. J., Couper, M. P., Green, B., & Wildenhaus, K. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.2.e11 · Cited by 216 · see citing works
Gold, B. C., Burke, S., Pintauro, S., Buzzell, P., & Harvey‐Berino, J. (2007) · Obesity · doi:10.1038/oby.2007.520 · Cited by 212 · see citing works
Duggan, M., & Fox, S. (2012) · Issue Lab (Candid) · Cited by 199 · see citing works
Verheijden, M. W., Jans, M. P., Hildebrandt, V. H., & Hopman-Rock, M. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.1.e1 · Cited by 195 · see citing works
Kelders, S. M., Van Gemert-Pijnen, J. E. W. C., Werkman, A., Nijland, N., & Seydel, E. R. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1624 · Cited by 156 · see citing works
Maternal and Child Health Journal
(2013) · Maternal and Child Health Journal · doi:10.1007/10995.1573-6628 · Cited by 150 · see citing works
Using instrumented paper diaries to document self-monitoring patterns in weight loss
Burke, L. E., Sereika, S. M., Music, E., Warziski, M., Styn, M. A., & Stone, A. (2008) · Contemporary Clinical Trials · doi:10.1016/j.cct.2007.07.004 · Cited by 129 · see citing works
Literacy and Health in America. Policy Information Report.
Rudd, R. R., Kirsch, I. S., & Yamamoto, K. (2004) · TOEFL iBT research reports · Cited by 114 · see citing works
Schieve, L. A., Cogswell, M. E., & Scanlon, K. S. (1998) · Maternal and Child Health Journal · doi:10.1023/a:1022992823185 · Cited by 113 · see citing works
Patterns of success: Online self-monitoring in a web-based behavioral weight control program.
Krukowski, R. A., Harvey‐Berino, J., Bursac, Z., Ashikaga, T., & West, D. S. (2012) · Health Psychology · doi:10.1037/a0028135 · Cited by 88 · see citing works
Nijland, N., van Gemert-Pijnen, J. E. W. C., Boer, H., Steehouder, M. F., & Seydel, E. R. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.06.002 · Cited by 84 · see citing works
Zickuhr, K. (2013) · Cited by 76 · see citing works
Factors associated with women's perceptions of physical activity safety during pregnancy
Mudd, L. M., Nechuta, S., Pivarnik, J. M., & Paneth, N. (2009) · Preventive Medicine · doi:10.1016/j.ypmed.2009.06.004 · Cited by 74 · see citing works
Setse, R. W., Grogan, R., Cooper, L. A., Strobino, D. M., Powe, N. R., & Nicholson, W. K. (2007) · Maternal and Child Health Journal · doi:10.1007/s10995-007-0211-6 · Cited by 70 · see citing works
Factors influencing intentions of pregnant women to exercise after giving birth.
Godin, G., Vézina, L., & Leclerc, O. (1989) · PubMed · Cited by 70 · see citing works
Evaluation of psychosocial measures for understanding weight-related behaviors in pregnant women
Kendall, A., Olson, C. M., & Frongillo, E. A. (2001) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2301_8 · Cited by 69 · see citing works
Self-citationRhodes, J., Schoendorf, K. C., & Parker, J. D. (2003) · PEDIATRICS · doi:10.1542/peds.111.s1.1181 · Cited by 68 · see citing works
Pr, E. (1993) · PubMed · Cited by 37 · see citing works
Godin, G., Beaulieu, D., Touchette, J.-S., Lambert, L., & Dodin, S. (2007) · Behavioral Medicine · doi:10.3200/bmed.33.2.67-79 · Cited by 34 · see citing works
Parental Responsibility and Obesity in Children
Holm, S. (2008) · Public Health Ethics · doi:10.1093/phe/phn007 · Cited by 30 · see citing works
Lenhart, A. (2000) · Cited by 22 · see citing works
Psychosocial Factors Associated with Gestational Weight Gain in a Low-Income Cohort
Wright, C., Bilder, D., DeBlasis, T. L., Mogul, M., Rubin, D. M., & Shea, J. A. (2013) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2013.0004 · Cited by 21 · see citing works
Sevick, M. A., Stone, R. A., Zickmund, S., Wang, Y., Korytkowski, M., & Burke, L. E. (2010) · Journal of Behavioral Medicine · doi:10.1007/s10865-010-9257-9 · Cited by 20 · see citing works
Bully for Science! The FASEB Centennial (1912–2012)
Weissmann, G. (2012) · The FASEB Journal · doi:10.1096/fj.12-0101ufm · Cited by 13 · see citing works
Shin, D., & Song, W. O. (2012) · The FASEB Journal · doi:10.1096/fasebj.26.1_supplement.813.3 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Okah FA Hoff GL Cai J 2007 Prepregnancy BMI and risk of excessive pregnancy weight gain Annals of Behavioral Medicine 33 S67
Cited by
Sorted by citations
Combined diet and exercise interventions for preventing gestational diabetes mellitus
Shepherd, E. S., Gomersall, J. S., Tieu, J., Han, S., Crowther, C. A., & Middleton, P. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010443.pub3 · Cited by 237 · see citing works
Digital Health Promotion and Prevention in Settings: Scoping Review
Stark, A. L., Geukes, C., & Dockweiler, C. (2022) · Journal of Medical Internet Research · doi:10.2196/21063 · Cited by 127 · see citing works
Mertens, L., Braeken, M., & Bogaerts, A. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2018.0139 · Cited by 36 · see citing works
Arden-Close, E. J., Smith, E., Bradbury, K., Morrison, L., Dennison, L., Michaelides, D., & Yardley, L. (2015) · JMIR Human Factors · doi:10.2196/humanfactors.4310 · Cited by 32 · see citing works
Evans, W. D., Harrington, C. B., Patchen, L., Andrews, V., Gaminian, A., Ellis, L., & Napolitano, M. A. (2019) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2019.100460 · Cited by 24 · see citing works
Jacobson, L. T., Zackula, R., Redmond, M. L., Duong, J., & Collins, T. C. (2018) · Journal of Behavioral Medicine · doi:10.1007/s10865-018-9930-y · Cited by 2 · see citing works
Big Data im Gesundheitskontext
Grimm, M., Lampert, C., & Wolf, S. (2019) · Springer eBooks · doi:10.1007/978-3-658-10727-7_4 · Cited by 1 · see citing works
Análise do ganho de peso gestacional em mulheres da região Sudeste do Brasil e desfechos perinatais
Nunes, C. T. G. (2016) · doi:10.11606/d.6.2016.tde-22122015-122740 · Cited by 1 · see citing works
Ellis, M. (2016) · Cited by 1 · see citing works
Big Data im Gesundheitskontext
Grimm, M., Lampert, C., & Wolf, S. (2017) · Springer eBooks · doi:10.1007/978-3-658-10948-6_4-1
- Authors
- Kim, H. K., Niederdeppe, J., Guillory, J., Graham, M., Olson, C., & Gay, G.
- Affiliations
- Nanyang Technological University (SG)
- Cornell University (US)
- University of California, San Francisco (US)
- Corresponding author
- Kim, Hye Kyung
- Venue
- Health Communication
- Publisher
- Informa UK Limited
- Published
- 2014-09-10
- Volume
- 30
- Issue
- 9
- Pages
- 922-932
- ISSN
- 1041-0236 (ISSN-L)
- 1532-7027
- PMC
- PMC4535434
- OpenAlex
- W2023790709
- Cited by
- 10
- References
- 44
- Citations by year
- 2022: 1 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 1
- FWCI
- 3.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Communication (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute and Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH Grant No. HL096760)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- gestational weight gain, pregnant women, online self-regulation, goal setting, self-monitoring, online intervention, outcome expectations, African American women, diet, physical activity, user engagement, motivational factors
- MeSH terms
- Self-Control, Adolescent, Adult, Black or African American, Diet, Female, Goals, Humans, Health Knowledge, Attitudes, Practice, Motivation, Motor Activity, Obesity, Pregnancy, Risk Factors, Weight Gain, Health Behavior, Internet, Pregnant People, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
