- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04326660
SCOPE-Chinese Women Study (SCOPE)
The Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women (SCOPE-Chinese Women)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Cancer presents a major disease burden across the globe. The incidence and mortality of gynecologic cancers have increased significantly in China over the last two decades with breast and endometrial cancer as leading causes of death in women in China. Obesity, especially abdominal obesity, and unhealthy lifestyles are major risk factors for breast and endometrial cancer. A high risk group for obesity is mothers with dependent children as they have high levels of stress and family responsibilities that prevent regular engagement in a healthy lifestyle and early screening activities. Because reducing postmenopausal abdominal obesity is very difficult and because of the significant increased risk for gynecologic cancers in obese postmenopausal women, interventions that aim to reduce abdominal obesity and improve healthy lifestyle behaviors in premenopausal women with children are critical to reducing the growing cancer burden in China. A smartphone-based intervention provides a promising platform for obesity and cancer prevention. In this proposed study, the research team will modify the Healthy Mothers Healthy Children: Technology-Based Intervention to Prevent Obesity, which was developed by the principal investigator. The proposed intervention (titled "The Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women: SCOPE-Chinese Women") is a smartphone-based, data-driven, and individually tailored intervention. It includes 12 weekly educational modules and six bi-weekly tailored messages delivered via WeChat, a popular communication app in China. The intervention will also be tailored to the participants' behaviors, personal needs, and preferences. The overall goal of this proposed study is to assess the feasibility and estimate the preliminary efficacy of the SCOPE-Chinese Women intervention using a randomized control study design (RCT). The following aims will be addressed.
Aim 1: To assess the feasibility of the smartphone-based lifestyle intervention (i.e., SCOPE-Chinese Women).
Aim 2: To estimate the preliminary efficacy of the SCOPE-Chinese Women intervention on the primary outcome (waist circumference) and secondary outcomes (body mass index, self-efficacy, food intake, physical activity, and metabolic risk) between the intervention and control groups at baseline, 3 months, and 6 months.
Aim 3: To understand participants' acceptance, barriers to adherence, and recommendations for intervention.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Changsha, Hunan
-
Yuelu, Changsha, Hunan, China, 410083
- Central South University
-
-
-
-
California
-
San Francisco, California, United States, 94143
- University of California, San Francisco
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
Participants must:
- Be female
- Be at least 18 years old
- Have a waist circumference great than 80 cm
- Own a smartphone
- Be able to read Chinese and speak Mandarin
- Be premenopausal
- Have a child between the age of 1 and 18 years old
Exclusion Criteria:
Women are excluded from the study if they:
- Are pregnant
- Gave birth less than 12 months prior to enrollment date
- Have an acute or life-threatening disease (e.g., renal failure).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control
Participants in the control group will receive a Fitbit Alta-Heart Rate (HR) and 12 weekly non-tailored educational modules via WeChat on general health topics that are important to 20-45 year-old women in China.
Topics include intimate partner violence, anxiety, depression, sexually transmitted infections, HIV, unintended pregnancy, hepatitis B, and general cancer prevention.
|
|
|
Experimental: SCOPE-Chinese Women Intervention
SCOPE-Chinese Women intervention content and methods: SCOPE-Chinese Women is a smartphone- based intervention. Component 1. All study participants will receive a Fitbit Alta-HR tracking device to wear daily. Each participant will receive in-person, training on how to access the app and their tracking data. If a participant has not used the fitness device and app for more than one week, a WeChat reminder message will be sent to the participant. Component 2. Participants will receive 12 weekly culturally appropriate and evidence-based SCOPE-Chinese Women educational modules along with tailored tips and messages via WeChat. Each module will include three educational sessions that last less than 45 minutes total. Component 3. Six bi-weekly messages will be sent to participants via WeChat to encourage positive behavioral changes. Each participant's message content will be based on the participant's tracker information, personal goals, and preferences. |
SCOPE-Chinese Women is a smart-phone based intervention that includes a Fitbit tracking device to monitor daily activity, 12-weeks of educational modules delivered by WeChat, and Bi-weekly messages that encourage positive behavioral change.
The data will be examined by the research team to assess efficacy of the intervention.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean Change in Waist Circumference Over Time
Time Frame: Baseline, 3 months, and 6 months
|
The National Institutes of Health (NIH) waist circumference measurement protocol will be used to measure change in waist circumference for each participant over time.
|
Baseline, 3 months, and 6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean Change in Body Mass Index (BMI) Over Time
Time Frame: Baseline, 3 months, and 6 months
|
Weight and height will be used to compute the BMI with the formula=weight (kilograms(kg)) / height in (meters squared (m2).
Changes in BMI will be collected for each participant over time.
|
Baseline, 3 months, and 6 months
|
|
Mean Change in Scores on the Self-Rated Abilities for Health Practices Scale Over Time
Time Frame: Baseline, 3 months, and 6 months
|
The Self Rated Abilities for Health Practices Scale (SRAHP) is a 28-item survey, with each item scored on a 5-point scale, with item scores ranging from 0=Not at all to 4=Completely.
The survey is designed to measure self-perceived ability to implement health-promoting behaviors across four subscales: Exercise, Nutrition, Responsible Health Practice, and Psychological Well Being, and overall.
The total score ranges from 0 - 112, with higher scores indicating greater abilities for health practices.
Changes in scores will be collected for each participant over time.
|
Baseline, 3 months, and 6 months
|
|
Mean Changes in China Food Frequency Questionnaire (FFQ) over time.
Time Frame: Baseline, 3 months, and 6 months
|
Food intake using the China food frequency questionnaire (FFQ), which includes a list of 118 food items will be used to measure aggregate changes in food intake over time.
|
Baseline, 3 months, and 6 months
|
|
Mean Changes in Overall Physical Activity
Time Frame: Baseline, 3 months, and 6 months
|
Change in overall Physical activity over time will be measured using the Fitbit Alta-HR device for 10 hours while participants are awake.
|
Baseline, 3 months, and 6 months
|
|
Mean Change in Blood Pressure Over Time
Time Frame: Baseline, 3 months, and 6 months
|
Changes in blood pressure will be measured using the YuWell YE690A monitor for each participant over time.
|
Baseline, 3 months, and 6 months
|
|
Mean Change in Hemoglobin A1C (HbA1C) Over Time
Time Frame: Baseline and 6 months
|
A blood sample will be collected to measure change in HbA1C over time for each participant, using an established cut off value at 6.4%.
|
Baseline and 6 months
|
|
Mean Change in Serum Lipid Levels Over Time
Time Frame: Baseline and 6 months
|
A blood sample will be collected to measure change in total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides (all measured in milligrams per deciliter (mg/dL)) over time for each participant
|
Baseline and 6 months
|
|
Mean Change in Cortisol over time
Time Frame: Baseline and 6 months
|
A blood sample will be collected to measure change in total cortisol levels over time for each participant.
|
Baseline and 6 months
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percentage of Eligible participants Who Agree To Be Screened
Time Frame: At Baseline
|
The number of overall eligible participants and the number of eligible participants who agree to be screened will be used to compute the percentage used for enrollment.
|
At Baseline
|
|
Number of Uses of The Tracking App Over Time
Time Frame: Baseline to 6 months
|
The number of uses of the tracking app and frequency of accessing the 12 modules, to measure change in usability over time
|
Baseline to 6 months
|
|
Percentage of Participants who completed assessments
Time Frame: Up to 6 months
|
The percentage of completed assessments by participants at each visit will be used to measure adherence over time
|
Up to 6 months
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Jyu-Lin Chen, RN, PhD, University of California, San Francisco
- Principal Investigator: Jia Guo, RN, PhD, Central South Univeristy
Publications and helpful links
General Publications
- Fan L, Strasser-Weippl K, Li JJ, St Louis J, Finkelstein DM, Yu KD, Chen WQ, Shao ZM, Goss PE. Breast cancer in China. Lancet Oncol. 2014 Jun;15(7):e279-89. doi: 10.1016/S1470-2045(13)70567-9.
- Jiang X, Tang H, Chen T. Epidemiology of gynecologic cancers in China. J Gynecol Oncol. 2018 Jan;29(1):e7. doi: 10.3802/jgo.2018.29.e7.
- Fair AM, Dai Q, Shu XO, Matthews CE, Yu H, Jin F, Gao YT, Zheng W. Energy balance, insulin resistance biomarkers, and breast cancer risk. Cancer Detect Prev. 2007;31(3):214-9. doi: 10.1016/j.cdp.2007.04.003. Epub 2007 Jul 23.
- Wang X, Li L, Gao J, Liu J, Guo M, Liu L, Wang W, Wang J, Xing Z, Yu Z, Wang X. The Association Between Body Size and Breast Cancer in Han Women in Northern and Eastern China. Oncologist. 2016 Nov;21(11):1362-1368. doi: 10.1634/theoncologist.2016-0147. Epub 2016 Aug 5.
- Cutrona CE, Abraham WT, Russell DW, Beach SR, Gibbons FX, Gerrard M, Monick M, Philibert R. Financial strain, inflammatory factors, and haemoglobin A1c levels in African American women. Br J Health Psychol. 2015 Sep;20(3):662-79. doi: 10.1111/bjhp.12120. Epub 2014 Oct 18.
- Landstedt E, Harryson L, Hammarstrom A. Changing housework, changing health? A longitudinal analysis of how changes in housework are associated with functional somatic symptoms. Int J Circumpolar Health. 2016 Jun 30;75:31781. doi: 10.3402/ijch.v75.31781. eCollection 2016.
- Berge JM, Larson N, Bauer KW, Neumark-Sztainer D. Are parents of young children practicing healthy nutrition and physical activity behaviors? Pediatrics. 2011 May;127(5):881-7. doi: 10.1542/peds.2010-3218. Epub 2011 Apr 11.
- Liu Y, Warren Andersen S, Wen W, Gao YT, Lan Q, Rothman N, Ji BT, Yang G, Xiang YB, Shu XO, Zheng W. Prospective cohort study of general and central obesity, weight change trajectory and risk of major cancers among Chinese women. Int J Cancer. 2016 Oct 1;139(7):1461-70. doi: 10.1002/ijc.30187. Epub 2016 May 31.
- Sun A, Cheng J, Bui Q, Liang Y, Ng T, Chen JL. Home-Based and Technology-Centered Childhood Obesity Prevention for Chinese Mothers With Preschool-Aged Children. J Transcult Nurs. 2017 Nov;28(6):616-624. doi: 10.1177/1043659617719139. Epub 2017 Jul 8.
- Guan X, Sun G, Zheng L, Hu W, Li W, Sun Y. Associations between metabolic risk factors and body mass index, waist circumference, waist-to-height ratio and waist-to-hip ratio in a Chinese rural population. J Diabetes Investig. 2016 Jul;7(4):601-6. doi: 10.1111/jdi.12442. Epub 2015 Dec 26.
- Wen X, Mai J, Gao X, Guo M, Wu Y, Liu X, Zhao L. [Cut-off values of waist circumference for central obesity in Chinese adults]. Zhonghua Xin Xue Guan Bing Za Zhi. 2015 Sep;43(9):822-6. Chinese.
- Nanayakkara J, Lekamwasam S. Validity of BMI, hip and waist circumferences as surrogate measures of obesity in a cohort of Sri Lankan premenopausal women. Ceylon Med J. 2013 Jun;58(2):72-5. doi: 10.4038/cmj.v58i2.4720.
- Singhal N, Mathur P, Pathak R. Validity of simple, novel measures of generalized and central obesity among young Asian Indian women. Indian J Med Sci. 2011 Dec;65(12):518-27.
- Yu R, Yan LL, Wang H, Ke L, Yang Z, Gong E, Guo H, Liu J, Gu Y, Wu Y. Effectiveness of a community-based individualized lifestyle intervention among older adults with diabetes and hypertension, Tianjin, China, 2008-2009. Prev Chronic Dis. 2014 May 15;11:E84. doi: 10.5888/pcd11.120333.
- Zhang R, Li Y, Zhang S, Cai X, Zhou X, Ji L. The Association of Retinopathy and Plasma Glucose and HbA1c: A Validation of Diabetes Diagnostic Criteria in a Chinese Population. J Diabetes Res. 2016;2016:4034129. doi: 10.1155/2016/4034129. Epub 2016 Oct 11.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 18-27025
- 217516 (University of California, San Francisco)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Obesity, Abdominal
-
National Research Council, SpainMinisterio de Economía y Competitividad, SpainCompletedSubjects With Abdominal ObesitySpain
-
Ben-Gurion University of the NegevUniversity of Leipzig; Harvard School of Public Health (HSPH)CompletedMen With Mild Abdominal ObesityIsrael
-
Université Catholique de LouvainCompletedAbdominal ObesityBelgium
-
Pusan National University Yangsan HospitalCompletedAbdominal ObesityKorea, Republic of
-
KU LeuvenVLIR-UOS; Kyambogo University; Our Lady of Africa Mbuya Catholic ParishCompleted
-
Assiut UniversityUnknownAbdominal ObesityEgypt
-
University of LeipzigUnknown
-
Cairo UniversityCompleted
-
Dominion Aesthetic Technologies, Inc.Completed
-
University of TorontoCompletedAbdominal ObesityCanada
Clinical Trials on SCOPE-Chinese Women
-
West China HospitalWest China Second University HospitalCompletedIron Deficiency Anemia of PregnancyChina
-
Huazhong University of Science and TechnologyQingdao University; Southern Medical University, China; Centers for Disease Control...UnknownConstipation | Anemia | Fever | Hemorrhoids | Anal Fissure | Puerperal Infection | Breast Disease | Oral UlcersChina
-
Boston Children's HospitalRecruitingPregnancy Related | Maternal; Procedure | Fetal Conditions | Twin Monochorionic Monoamniotic Placenta | Twin to Twin Transfusion Syndrome | Twin Reversal Arterial Perfusion Syndrome | Vasa Previa | In Utero Procedure Affecting Fetus or Newborn | Chorion; Abnormal | ChorioangiomaUnited States
-
Sung Hyun PyunUnknown
-
National University, SingaporeTsao Foundation SingaporeActive, not recruiting
-
Northwestern UniversityCompleted
-
Boehringer Labs LLCNYU Langone HealthNot yet recruiting
-
GI View Ltd.CompletedRectal Cancer | Colon CancerIsrael
-
Karolinska InstitutetStiftelsen Promobilia; Stiftelsen Sunnerdahls Handikappfond; Stiftelsen Sven... and other collaboratorsCompletedAutism Spectrum Disorder | TransitionSweden
-
China Medical University HospitalNational Science and Technology Council; SEHA Kidney Care; Asia University HospitalCompleted