Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign
Being overweight and obese are major risk factors for noncommunicable diseases such as cardiovascular diseases. The prevalence of overweight and obesity is high throughout the world and these issues are very serious in the Shunyi District in China. As mobile technologies have rapidly developed, mobi...
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| Veröffentlicht in: | Journal of medical Internet research 2017-10, Vol.19 (10), p.e357-e357 |
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| creator | He, Chao Wu, Shiyan Zhao, Yingying Li, Zheng Zhang, Yanyan Le, Jia Wang, Lei Wan, Siyang Li, Changqing Li, Yindong Sun, Xinying |
| description | Being overweight and obese are major risk factors for noncommunicable diseases such as cardiovascular diseases. The prevalence of overweight and obesity is high throughout the world and these issues are very serious in the Shunyi District in China. As mobile technologies have rapidly developed, mobile apps such as WeChat are well accepted and have the potential to improve health behaviors.
This study aims to evaluate the effectiveness of a mobile app (WeChat) as an intervention on weight loss behavior.
This study was conducted among an occupational population from August 2015 to February 2016 in the Shunyi District of Beijing. Before the intervention, the Shunyi District Government released an official document for weight loss to all 134 government agencies and enterprises in Shunyi District. Participants willing to use our official WeChat account were enrolled in a WeChat group and received 6 months of interventions for weight loss; those who were not willing to use the account were in a control group given routine publicity on weight loss.
In total, 15,310 occupational participants including 3467 participants (22.65%) in the control group and 11,843 participants (77.35%) in the WeChat group were enrolled. Participants in the WeChat group lost more weight (mean 2.09, SD 3.43 kg) than people in the control group (mean 1.78, SD 2.96 kg), and the difference in mean weight loss between the two groups for males was significant based on the stratification of age and educational level. To control for confounding factors and to explore the effects of WeChat on weight loss, the propensity score method with a multinominal logistic regression was utilized. For males, this showed that the WeChat group (with both active and inactive subgroups) had a higher probability of maintaining weight, weight loss from 1 to 2 kg, or weight loss more than 2 kg than the control group. However, the control group had higher probability of weight loss from 0 to 1 kg. Being active in WeChat was likely to be associated with weight loss. The more active participants were in the weight loss program via WeChat, the more weight they lost.
The weight loss intervention campaign based on an official WeChat account focused on an occupation-based population in Shunyi District was effective for males. The more active male participants were in using WeChat, the more weight they lost. There might be no effect or there may even be a negative effect on weight loss for females. Future research should |
| doi_str_mv | 10.2196/jmir.7861 |
| format | Article |
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This study aims to evaluate the effectiveness of a mobile app (WeChat) as an intervention on weight loss behavior.
This study was conducted among an occupational population from August 2015 to February 2016 in the Shunyi District of Beijing. Before the intervention, the Shunyi District Government released an official document for weight loss to all 134 government agencies and enterprises in Shunyi District. Participants willing to use our official WeChat account were enrolled in a WeChat group and received 6 months of interventions for weight loss; those who were not willing to use the account were in a control group given routine publicity on weight loss.
In total, 15,310 occupational participants including 3467 participants (22.65%) in the control group and 11,843 participants (77.35%) in the WeChat group were enrolled. Participants in the WeChat group lost more weight (mean 2.09, SD 3.43 kg) than people in the control group (mean 1.78, SD 2.96 kg), and the difference in mean weight loss between the two groups for males was significant based on the stratification of age and educational level. To control for confounding factors and to explore the effects of WeChat on weight loss, the propensity score method with a multinominal logistic regression was utilized. For males, this showed that the WeChat group (with both active and inactive subgroups) had a higher probability of maintaining weight, weight loss from 1 to 2 kg, or weight loss more than 2 kg than the control group. However, the control group had higher probability of weight loss from 0 to 1 kg. Being active in WeChat was likely to be associated with weight loss. The more active participants were in the weight loss program via WeChat, the more weight they lost.
The weight loss intervention campaign based on an official WeChat account focused on an occupation-based population in Shunyi District was effective for males. The more active male participants were in using WeChat, the more weight they lost. There might be no effect or there may even be a negative effect on weight loss for females. Future research should focus on how to improve adherence to the WeChat weight loss interventions, to improve and refine the WeChat content such as developing a variety of materials to attract interest, and to protect personal privacy, especially for females.</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.7861</identifier><identifier>PMID: 29061555</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Academic achievement ; Campaigns ; Cardiovascular diseases ; Cohort analysis ; Companies ; Confounding factors ; Control groups ; Government agencies ; Health behavior ; Health status ; Inactive ; Intervention ; Males ; Mobile phones ; Multimedia computer applications ; Noncommunicable diseases ; Obesity ; Original Paper ; Privacy ; Propensity ; Publicity ; Risk factors ; Social media ; Social networks ; Stratification ; Weight control ; Weight loss</subject><ispartof>Journal of medical Internet research, 2017-10, Vol.19 (10), p.e357-e357</ispartof><rights>Copyright Gunther Eysenbach MD MPH, Associate Professor Oct 2017</rights><rights>Chao He, Shiyan Wu, Yingying Zhao, Zheng Li, Yanyan Zhang, Jia Le, Lei Wang, Siyang Wan, Changqing Li, Yindong Li, Xinying Sun. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 23.10.2017. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-49be22b52d46c3053931fbc2f8aeca5e9aa0f879c53cfc956f3abd7272131d5a3</citedby><cites>FETCH-LOGICAL-c469t-49be22b52d46c3053931fbc2f8aeca5e9aa0f879c53cfc956f3abd7272131d5a3</cites><orcidid>0000-0003-0959-9366 ; 0000-0002-6461-9166 ; 0000-0002-6601-0127 ; 0000-0001-5688-0367 ; 0000-0002-3148-9852 ; 0000-0001-9220-8412 ; 0000-0001-6556-258X ; 0000-0001-6638-1473 ; 0000-0002-2062-5388 ; 0000-0001-8186-1838 ; 0000-0002-2968-5758</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,723,776,780,860,881,27901,27902,30976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29061555$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Chao</creatorcontrib><creatorcontrib>Wu, Shiyan</creatorcontrib><creatorcontrib>Zhao, Yingying</creatorcontrib><creatorcontrib>Li, Zheng</creatorcontrib><creatorcontrib>Zhang, Yanyan</creatorcontrib><creatorcontrib>Le, Jia</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Wan, Siyang</creatorcontrib><creatorcontrib>Li, Changqing</creatorcontrib><creatorcontrib>Li, Yindong</creatorcontrib><creatorcontrib>Sun, Xinying</creatorcontrib><title>Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>Being overweight and obese are major risk factors for noncommunicable diseases such as cardiovascular diseases. The prevalence of overweight and obesity is high throughout the world and these issues are very serious in the Shunyi District in China. As mobile technologies have rapidly developed, mobile apps such as WeChat are well accepted and have the potential to improve health behaviors.
This study aims to evaluate the effectiveness of a mobile app (WeChat) as an intervention on weight loss behavior.
This study was conducted among an occupational population from August 2015 to February 2016 in the Shunyi District of Beijing. Before the intervention, the Shunyi District Government released an official document for weight loss to all 134 government agencies and enterprises in Shunyi District. Participants willing to use our official WeChat account were enrolled in a WeChat group and received 6 months of interventions for weight loss; those who were not willing to use the account were in a control group given routine publicity on weight loss.
In total, 15,310 occupational participants including 3467 participants (22.65%) in the control group and 11,843 participants (77.35%) in the WeChat group were enrolled. Participants in the WeChat group lost more weight (mean 2.09, SD 3.43 kg) than people in the control group (mean 1.78, SD 2.96 kg), and the difference in mean weight loss between the two groups for males was significant based on the stratification of age and educational level. To control for confounding factors and to explore the effects of WeChat on weight loss, the propensity score method with a multinominal logistic regression was utilized. For males, this showed that the WeChat group (with both active and inactive subgroups) had a higher probability of maintaining weight, weight loss from 1 to 2 kg, or weight loss more than 2 kg than the control group. However, the control group had higher probability of weight loss from 0 to 1 kg. Being active in WeChat was likely to be associated with weight loss. The more active participants were in the weight loss program via WeChat, the more weight they lost.
The weight loss intervention campaign based on an official WeChat account focused on an occupation-based population in Shunyi District was effective for males. The more active male participants were in using WeChat, the more weight they lost. There might be no effect or there may even be a negative effect on weight loss for females. Future research should focus on how to improve adherence to the WeChat weight loss interventions, to improve and refine the WeChat content such as developing a variety of materials to attract interest, and to protect personal privacy, especially for females.</description><subject>Academic achievement</subject><subject>Campaigns</subject><subject>Cardiovascular diseases</subject><subject>Cohort analysis</subject><subject>Companies</subject><subject>Confounding factors</subject><subject>Control groups</subject><subject>Government agencies</subject><subject>Health behavior</subject><subject>Health status</subject><subject>Inactive</subject><subject>Intervention</subject><subject>Males</subject><subject>Mobile phones</subject><subject>Multimedia computer applications</subject><subject>Noncommunicable diseases</subject><subject>Obesity</subject><subject>Original Paper</subject><subject>Privacy</subject><subject>Propensity</subject><subject>Publicity</subject><subject>Risk factors</subject><subject>Social media</subject><subject>Social networks</subject><subject>Stratification</subject><subject>Weight control</subject><subject>Weight loss</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNpdkU1v1DAQhi0EoqVw4A8gS1zgkOKPOIk5IC1RC0hbdaVScbQmjrPxKolT20Hqib-OQ0tVONnWPH5nNA9Cryk5ZVQWHw6j9adlVdAn6JjmvMqqqqRPH92P0IsQDoQwkkv6HB0xSQoqhDhGv66ctjDgC9NayHbejS6aFv8wdt9HvHUh4M3opj2GCV9qvcwQrZvSh52bl-HP4yOuXe98xFdxaW_xdbArniLqHiK-cI0dDN71bjJ4M8_ZZwipQQ3jDHY_vUTPOhiCeXV_nqDr87Pv9ddse_nlW73ZZjovZMxy2RjGGsHavNCcCC457RrNugqMBmEkAOmqUmrBdaelKDoOTVuyklFOWwH8BH26y52XZjStNlP0MKjZ2xH8rXJg1b-VyfZq734qUZS8qmgKeHcf4N3NYkJUow3aDANMxi1BUSkEKQTnJKFv_0MPbvFpaUGx1QHJqWCJen9HaZ-27E33MAwlatWqVq1q1ZrYN4-nfyD_euS_Acdyn1g</recordid><startdate>20171023</startdate><enddate>20171023</enddate><creator>He, Chao</creator><creator>Wu, Shiyan</creator><creator>Zhao, Yingying</creator><creator>Li, Zheng</creator><creator>Zhang, Yanyan</creator><creator>Le, Jia</creator><creator>Wang, Lei</creator><creator>Wan, Siyang</creator><creator>Li, Changqing</creator><creator>Li, Yindong</creator><creator>Sun, Xinying</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>E3H</scope><scope>F2A</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0959-9366</orcidid><orcidid>https://orcid.org/0000-0002-6461-9166</orcidid><orcidid>https://orcid.org/0000-0002-6601-0127</orcidid><orcidid>https://orcid.org/0000-0001-5688-0367</orcidid><orcidid>https://orcid.org/0000-0002-3148-9852</orcidid><orcidid>https://orcid.org/0000-0001-9220-8412</orcidid><orcidid>https://orcid.org/0000-0001-6556-258X</orcidid><orcidid>https://orcid.org/0000-0001-6638-1473</orcidid><orcidid>https://orcid.org/0000-0002-2062-5388</orcidid><orcidid>https://orcid.org/0000-0001-8186-1838</orcidid><orcidid>https://orcid.org/0000-0002-2968-5758</orcidid></search><sort><creationdate>20171023</creationdate><title>Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign</title><author>He, Chao ; Wu, Shiyan ; Zhao, Yingying ; Li, Zheng ; Zhang, Yanyan ; Le, Jia ; Wang, Lei ; Wan, Siyang ; Li, Changqing ; Li, Yindong ; Sun, Xinying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-49be22b52d46c3053931fbc2f8aeca5e9aa0f879c53cfc956f3abd7272131d5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Academic achievement</topic><topic>Campaigns</topic><topic>Cardiovascular diseases</topic><topic>Cohort analysis</topic><topic>Companies</topic><topic>Confounding factors</topic><topic>Control groups</topic><topic>Government agencies</topic><topic>Health behavior</topic><topic>Health status</topic><topic>Inactive</topic><topic>Intervention</topic><topic>Males</topic><topic>Mobile phones</topic><topic>Multimedia computer applications</topic><topic>Noncommunicable diseases</topic><topic>Obesity</topic><topic>Original Paper</topic><topic>Privacy</topic><topic>Propensity</topic><topic>Publicity</topic><topic>Risk factors</topic><topic>Social media</topic><topic>Social networks</topic><topic>Stratification</topic><topic>Weight control</topic><topic>Weight loss</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Chao</creatorcontrib><creatorcontrib>Wu, Shiyan</creatorcontrib><creatorcontrib>Zhao, Yingying</creatorcontrib><creatorcontrib>Li, Zheng</creatorcontrib><creatorcontrib>Zhang, Yanyan</creatorcontrib><creatorcontrib>Le, Jia</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Wan, Siyang</creatorcontrib><creatorcontrib>Li, Changqing</creatorcontrib><creatorcontrib>Li, Yindong</creatorcontrib><creatorcontrib>Sun, Xinying</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Chao</au><au>Wu, Shiyan</au><au>Zhao, Yingying</au><au>Li, Zheng</au><au>Zhang, Yanyan</au><au>Le, Jia</au><au>Wang, Lei</au><au>Wan, Siyang</au><au>Li, Changqing</au><au>Li, Yindong</au><au>Sun, Xinying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2017-10-23</date><risdate>2017</risdate><volume>19</volume><issue>10</issue><spage>e357</spage><epage>e357</epage><pages>e357-e357</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>Being overweight and obese are major risk factors for noncommunicable diseases such as cardiovascular diseases. The prevalence of overweight and obesity is high throughout the world and these issues are very serious in the Shunyi District in China. As mobile technologies have rapidly developed, mobile apps such as WeChat are well accepted and have the potential to improve health behaviors.
This study aims to evaluate the effectiveness of a mobile app (WeChat) as an intervention on weight loss behavior.
This study was conducted among an occupational population from August 2015 to February 2016 in the Shunyi District of Beijing. Before the intervention, the Shunyi District Government released an official document for weight loss to all 134 government agencies and enterprises in Shunyi District. Participants willing to use our official WeChat account were enrolled in a WeChat group and received 6 months of interventions for weight loss; those who were not willing to use the account were in a control group given routine publicity on weight loss.
In total, 15,310 occupational participants including 3467 participants (22.65%) in the control group and 11,843 participants (77.35%) in the WeChat group were enrolled. Participants in the WeChat group lost more weight (mean 2.09, SD 3.43 kg) than people in the control group (mean 1.78, SD 2.96 kg), and the difference in mean weight loss between the two groups for males was significant based on the stratification of age and educational level. To control for confounding factors and to explore the effects of WeChat on weight loss, the propensity score method with a multinominal logistic regression was utilized. For males, this showed that the WeChat group (with both active and inactive subgroups) had a higher probability of maintaining weight, weight loss from 1 to 2 kg, or weight loss more than 2 kg than the control group. However, the control group had higher probability of weight loss from 0 to 1 kg. Being active in WeChat was likely to be associated with weight loss. The more active participants were in the weight loss program via WeChat, the more weight they lost.
The weight loss intervention campaign based on an official WeChat account focused on an occupation-based population in Shunyi District was effective for males. The more active male participants were in using WeChat, the more weight they lost. There might be no effect or there may even be a negative effect on weight loss for females. Future research should focus on how to improve adherence to the WeChat weight loss interventions, to improve and refine the WeChat content such as developing a variety of materials to attract interest, and to protect personal privacy, especially for females.</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>29061555</pmid><doi>10.2196/jmir.7861</doi><orcidid>https://orcid.org/0000-0003-0959-9366</orcidid><orcidid>https://orcid.org/0000-0002-6461-9166</orcidid><orcidid>https://orcid.org/0000-0002-6601-0127</orcidid><orcidid>https://orcid.org/0000-0001-5688-0367</orcidid><orcidid>https://orcid.org/0000-0002-3148-9852</orcidid><orcidid>https://orcid.org/0000-0001-9220-8412</orcidid><orcidid>https://orcid.org/0000-0001-6556-258X</orcidid><orcidid>https://orcid.org/0000-0001-6638-1473</orcidid><orcidid>https://orcid.org/0000-0002-2062-5388</orcidid><orcidid>https://orcid.org/0000-0001-8186-1838</orcidid><orcidid>https://orcid.org/0000-0002-2968-5758</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; PubMed Central Open Access |
| subjects | Academic achievement Campaigns Cardiovascular diseases Cohort analysis Companies Confounding factors Control groups Government agencies Health behavior Health status Inactive Intervention Males Mobile phones Multimedia computer applications Noncommunicable diseases Obesity Original Paper Privacy Propensity Publicity Risk factors Social media Social networks Stratification Weight control Weight loss |
| title | Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign |
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