Health Knowledge, Attitudes, Practice Clinical Trial
— PWMHLQOfficial title:
Psychometric Properties of Pregnancy Weight Management Health Literacy Questionnaire
NCT number | NCT05042427 |
Other study ID # | 20201209R |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | August 17, 2021 |
Est. completion date | June 30, 2022 |
Worldwide obesity has continued to increase over the past decades. Among the adult women, the overweight and obesity rates in Taiwan are much higher than that of women in nearby Asian countries. In particular, the body mass index of women with low health literacy exceeds the normal range before pregnancy. Without proper supervision, the increase in body weight during pregnancy may result in multiple maternal complications, affect the newborn's health, and increase unnecessary medical expenses in Taiwan's health care system. Thus, assessing pregnant women' s health literacy to manage their body weight is of importance. However, currently, there is no appropriate instrument available in Taiwan to assist health practitioners in assessing the health literacy of pregnant women for weight management. The aim of the study is to develop an instrument to measure the health literacy regarding weight management of pregnant women and examine its psychometric properties.
Status | Recruiting |
Enrollment | 330 |
Est. completion date | June 30, 2022 |
Est. primary completion date | June 30, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 20 Years to 55 Years |
Eligibility | Inclusion Criteria: - Primigravida women - Fluent in writing, reading and speaking Mandarin Exclusion Criteria: - Non-pregnant - Can't fluent in writing, reading and speaking Mandarin - Cognitive dysfunction |
Country | Name | City | State |
---|---|---|---|
Taiwan | Shin Kong Wu Ho-Su Memorial Hospital | Taipei |
Lead Sponsor | Collaborator |
---|---|
Chao-Hui, Lee | National Taipei University of Nursing and Health Sciences |
Taiwan,
Duong TV, Aringazina A, Kayupova G, Nurjanah, Pham TV, Pham KM, Truong TQ, Nguyen KT, Oo WM, Su TT, Majid HA, Sørensen K, Lin IF, Chang Y, Yang SH, Chang PWS. Development and Validation of a New Short-Form Health Literacy Instrument (HLS-SF12) for the General Public in Six Asian Countries. Health Lit Res Pract. 2019 Apr 10;3(2):e91-e102. doi: 10.3928/24748307-20190225-01. eCollection 2019 Apr. — View Citation
Duong TV, Nguyen TTP, Pham KM, Nguyen KT, Giap MH, Tran TDX, Nguyen CX, Yang SH, Su CT. Validation of the Short-Form Health Literacy Questionnaire (HLS-SF12) and Its Determinants among People Living in Rural Areas in Vietnam. Int J Environ Res Public Health. 2019 Sep 11;16(18). pii: E3346. doi: 10.3390/ijerph16183346. — View Citation
Duong VT, Lin IF, Sorensen K, Pelikan JM, Van Den Broucke S, Lin YC, Chang PW. Health Literacy in Taiwan: A Population-Based Study. Asia Pac J Public Health. 2015 Nov;27(8):871-80. doi: 10.1177/1010539515607962. Epub 2015 Sep 29. — View Citation
Huang YJ, Lin GH, Lu WS, Tam KW, Chen C, Hou WH, Hsieh CL. Validation of the European Health Literacy Survey Questionnaire in Women With Breast Cancer. Cancer Nurs. 2018 Mar/Apr;41(2):E40-E48. doi: 10.1097/NCC.0000000000000475. — View Citation
Sørensen K, Van den Broucke S, Pelikan JM, Fullam J, Doyle G, Slonska Z, Kondilis B, Stoffels V, Osborne RH, Brand H; HLS-EU Consortium. Measuring health literacy in populations: illuminating the design and development process of the European Health Literacy Survey Questionnaire (HLS-EU-Q). BMC Public Health. 2013 Oct 10;13:948. doi: 10.1186/1471-2458-13-948. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | The short-form health literacy questionnaire (HL-SF12) | This study uses the short-form health literacy questionnaire (HL-SF12) to check the level of health literacy.The perceived difficulty of each health-related task was rated on 4-point Likert scales (1=very difficult, 2=difficult, 3=easy, and 4=very easy).An index value was thus obtained in which 0 represented the lowest HL and 50 the highest HL.The HL matrix was constructed from 4 steps of information processing in three health domains, which created a total of 12 dimensions or components of HL. The indices for HL were standardized to unified metrics from 0 to 50 using the formula; Index=(mean-1)×(50/3), where Index is the specific index calculated, mean is the mean of all participating items for each individual, 1 is the minimal possible value of the mean (leading to a minimum value of the index of 0), 3 is the range of the mean, and 50 is the chosen maximum value of the new metric. | during pregnancy(before delivery/ Within 10 months) | |
Primary | weight management health literacy | level of maternal weight management health literacy | during pregnancy(before delivery/ Within 10 months) | |
Secondary | postpartum body weight | record postpartum body weight in kilograms | On the day of delivery | |
Secondary | body weight before pregnancy | record body weight in kilograms from medical records | On the day of delivery | |
Secondary | time of labor | record time of labor from medical records | On the day of delivery | |
Secondary | labor conditions | record conditions of labor from medical records | On the day of delivery | |
Secondary | newborn body weight | record newborn body weight in grams from medical records | On the day of delivery | |
Secondary | newborn body height | record newborn body height in meters from medical records | On the day of delivery | |
Secondary | newborn Apgar score | record newborn Apgar score from medical records | On the day of delivery | |
Secondary | newborn conditions | record newborn conditions from medical records | On the day of delivery |
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