SCOPE-Chinese Women Study

Obesity, Abdominal Clinical Trial

— SCOPE  

Official title:

The Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women (SCOPE-Chinese Women)

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04326660
• Other study ID #: 18-27025
• Secondary ID: 217516
• Status: Completed
• Phase: N/A
• Start date: July 20, 2020
• Est. completion date: December 30, 2021

Study information

• Verified date: December 2022
• Source: University of California, San Francisco
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

This project examines the feasibility of a smartphone-based intervention to reduce obesity and breast cancer risk among Chinese women in China. The proposed intervention is to use the mobile application and an activity tracker device to promote a healthier lifestyle and physical activity. The intervention will be tailored to the participants' behaviors, personal needs, and preferences. The aim is to reduce abdominal obesity and improve healthy lifestyle behaviors in premenopausal women with children in order to reduce the growing cancer burden in China.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 40
• Est. completion date: December 30, 2021
• Est. primary completion date: December 30, 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: Female
• Age group: 18 Years and older

Eligibility

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).

Related Conditions & MeSH terms

• Breast Neoplasms
• Cancer, Breast
• Obesity
• Obesity, Abdominal

Intervention

Other:
• SCOPE-Chinese Women
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.

Locations

Country	Name	City	State
China	Central South University	Yuelu	Changsha, Hunan
United States	University of California, San Francisco	San Francisco	California

Sponsors (2)

Lead Sponsor	Collaborator
University of California, San Francisco	Central South University

Countries where clinical trial is conducted

United States,  China, 

References & Publications (15)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

* Note: There are 15 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Percentage of Eligible participants Who Agree To Be Screened	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
Other	Number of Uses of The Tracking App Over Time	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
Other	Percentage of Participants who completed assessments	The percentage of completed assessments by participants at each visit will be used to measure adherence over time	Up to 6 months
Primary	Mean Change in Waist Circumference Over Time	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	Mean Change in Body Mass Index (BMI) Over Time	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
Secondary	Mean Change in Scores on the Self-Rated Abilities for Health Practices Scale Over Time	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
Secondary	Mean Changes in China Food Frequency Questionnaire (FFQ) over time.	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
Secondary	Mean Changes in Overall Physical Activity	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
Secondary	Mean Change in Blood Pressure Over Time	Changes in blood pressure will be measured using the YuWell YE690A monitor for each participant over time.	Baseline, 3 months, and 6 months
Secondary	Mean Change in Hemoglobin A1C (HbA1C) Over Time	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
Secondary	Mean Change in Serum Lipid Levels Over Time	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
Secondary	Mean Change in Cortisol over time	A blood sample will be collected to measure change in total cortisol levels over time for each participant.	Baseline and 6 months