PDF(Pubmed)
Abstract：
BACKGROUND: Type 2 diabetes disproportionately affects South Asian subgroups. Lifestyle prevention programs help prevent and manage diabetes; however, there is a need to tailor these programs for mobile health (mHealth).
OBJECTIVE: This study examined technology access, current use, and preferences for health communication among South Asian immigrants diagnosed with or at risk for diabetes, overall and by sex. We examined factors associated with interest in receiving diabetes information by (1) text message, (2) online (videos, voice notes, online forums), and (3) none or skipped, adjusting for sociodemographic characteristics and technology access.
METHODS: We used baseline data collected in 2019-2021 from two clinical trials among South Asian immigrants in New York City (NYC), with one trial focused on diabetes prevention and the other focused on diabetes management. Descriptive statistics were used to examine overall and sex-stratified impacts of sociodemographics on technology use. Overall logistic regression was used to examine the preference for diabetes information by text message, online (videos, voice notes, or forums), and no interest/skipped response.
RESULTS: The overall sample (N=816) had a mean age of 51.8 years (SD 11.0), and was mostly female (462/816, 56.6%), married (756/816, 92.6%), with below high school education (476/816, 58.3%) and limited English proficiency (731/816, 89.6%). Most participants had a smartphone (611/816, 74.9%) and reported interest in receiving diabetes information via text message (609/816, 74.6%). Compared to male participants, female participants were significantly less likely to own smartphones (317/462, 68.6% vs 294/354, 83.1%) or use social media apps (Viber: 102/462, 22.1% vs 111/354, 31.4%; WhatsApp: 279/462, 60.4% vs 255/354, 72.0%; Facebook: Messenger 72/462, 15.6% vs 150/354, 42.4%). A preference for receiving diabetes information via text messaging was associated with male sex (adjusted odds ratio [AOR] 1.63, 95% CI 1.01-2.55; P=.04), current unemployment (AOR 1.62, 95% CI 1.03-2.53; P=.04), above high school education (AOR 2.17, 95% CI 1.41-3.32; P<.001), and owning a smart device (AOR 3.35, 95% CI 2.17-5.18; P<.001). A preference for videos, voice notes, or online forums was associated with male sex (AOR 2.38, 95% CI 1.59-3.57; P<.001) and ownership of a smart device (AOR 5.19, 95% CI 2.83-9.51; P<.001). No interest/skipping the question was associated with female sex (AOR 2.66, 95% CI 1.55-4.56; P<.001), high school education or below (AOR 2.02, 95% CI 1.22-3.36; P=.01), not being married (AOR 2.26, 95% CI 1.13-4.52; P=.02), current employment (AOR 1.96, 95% CI 1.18-3.29; P=.01), and not owning a smart device (AOR 2.06, 95% CI 2.06-5.44; P<.001).
CONCLUSIONS: Technology access and social media usage were moderately high in primarily low-income South Asian immigrants in NYC with prediabetes or diabetes. Sex, education, marital status, and employment were associated with interest in mHealth interventions. Additional support to South Asian women may be required when designing and developing mHealth interventions.
BACKGROUND: ClinicalTrials.gov NCT03333044; https://classic.clinicaltrials.gov/ct2/show/NCT03333044, ClinicalTrials.gov NCT03188094; https://classic.clinicaltrials.gov/ct2/show/NCT03188094.
UNASSIGNED: RR2-10.1186/s13063-019-3711-y.
OBJECTIVE: This study examined technology access, current use, and preferences for health communication among South Asian immigrants diagnosed with or at risk for diabetes, overall and by sex. We examined factors associated with interest in receiving diabetes information by (1) text message, (2) online (videos, voice notes, online forums), and (3) none or skipped, adjusting for sociodemographic characteristics and technology access.
METHODS: We used baseline data collected in 2019-2021 from two clinical trials among South Asian immigrants in New York City (NYC), with one trial focused on diabetes prevention and the other focused on diabetes management. Descriptive statistics were used to examine overall and sex-stratified impacts of sociodemographics on technology use. Overall logistic regression was used to examine the preference for diabetes information by text message, online (videos, voice notes, or forums), and no interest/skipped response.
RESULTS: The overall sample (N=816) had a mean age of 51.8 years (SD 11.0), and was mostly female (462/816, 56.6%), married (756/816, 92.6%), with below high school education (476/816, 58.3%) and limited English proficiency (731/816, 89.6%). Most participants had a smartphone (611/816, 74.9%) and reported interest in receiving diabetes information via text message (609/816, 74.6%). Compared to male participants, female participants were significantly less likely to own smartphones (317/462, 68.6% vs 294/354, 83.1%) or use social media apps (Viber: 102/462, 22.1% vs 111/354, 31.4%; WhatsApp: 279/462, 60.4% vs 255/354, 72.0%; Facebook: Messenger 72/462, 15.6% vs 150/354, 42.4%). A preference for receiving diabetes information via text messaging was associated with male sex (adjusted odds ratio [AOR] 1.63, 95% CI 1.01-2.55; P=.04), current unemployment (AOR 1.62, 95% CI 1.03-2.53; P=.04), above high school education (AOR 2.17, 95% CI 1.41-3.32; P<.001), and owning a smart device (AOR 3.35, 95% CI 2.17-5.18; P<.001). A preference for videos, voice notes, or online forums was associated with male sex (AOR 2.38, 95% CI 1.59-3.57; P<.001) and ownership of a smart device (AOR 5.19, 95% CI 2.83-9.51; P<.001). No interest/skipping the question was associated with female sex (AOR 2.66, 95% CI 1.55-4.56; P<.001), high school education or below (AOR 2.02, 95% CI 1.22-3.36; P=.01), not being married (AOR 2.26, 95% CI 1.13-4.52; P=.02), current employment (AOR 1.96, 95% CI 1.18-3.29; P=.01), and not owning a smart device (AOR 2.06, 95% CI 2.06-5.44; P<.001).
CONCLUSIONS: Technology access and social media usage were moderately high in primarily low-income South Asian immigrants in NYC with prediabetes or diabetes. Sex, education, marital status, and employment were associated with interest in mHealth interventions. Additional support to South Asian women may be required when designing and developing mHealth interventions.
BACKGROUND: ClinicalTrials.gov NCT03333044; https://classic.clinicaltrials.gov/ct2/show/NCT03333044, ClinicalTrials.gov NCT03188094; https://classic.clinicaltrials.gov/ct2/show/NCT03188094.
UNASSIGNED: RR2-10.1186/s13063-019-3711-y.
摘要：
背景：2型糖尿病不成比例地影响南亚亚组。生活方式预防计划有助于预防和管理糖尿病;然而，有必要为移动健康（mHealth）定制这些计划。
目的：本研究考察了技术准入，当前使用,以及被诊断患有糖尿病或有糖尿病风险的南亚移民对健康交流的偏好，总体和性别。我们通过(1)短信检查了与接收糖尿病信息的兴趣相关的因素，（2）在线（视频，语音笔记,在线论坛)，和（3）没有或跳过，根据社会人口统计特征和技术获取进行调整。
方法：我们使用了2019-2021年从纽约市（NYC）的南亚移民的两项临床试验中收集的基线数据，一项试验侧重于糖尿病预防，另一项试验侧重于糖尿病管理。描述性统计数据用于检查社会人口统计学对技术使用的总体和性别分层影响。总体逻辑回归用于通过短信检查对糖尿病信息的偏好，在线(视频，语音笔记,或论坛)，和没有兴趣/跳过响应。
结果：总体样本（N=816）的平均年龄为51.8岁（SD11.0），大部分是女性(462/816，56.6%)，已婚（756/816，92.6%），高中以下学历（476/816，58.3％）和英语水平有限（731/816，89.6％）。大多数参与者有智能手机（611/816，74.9%），并报告有兴趣通过短信接收糖尿病信息（609/816，74.6%）。与男性参与者相比，女性参与者拥有智能手机(317/462,68.6%vs294/354,83.1%)或使用社交媒体应用程序(Viber:102/462,22.1%vs111/354,31.4%;WhatsApp:279/462,60.4%vs255/354,72.0%;Facebook:Messenger72/462,15.6%vs150/354,42.4%)。通过短信接收糖尿病信息的偏好与男性相关(调整后的比值比[AOR]1.63,95%CI1.01-2.55;P=.04),当前失业率（AOR1.62，95%CI1.03-2.53；P=.04），高中以上文化程度（AOR2.17，95%CI1.41-3.32；P<.001），并拥有智能设备（AOR3.35，95%CI2.17-5.18；P<.001）。对视频的偏好，语音笔记,或在线论坛与男性相关(AOR2.38,95%CI1.59-3.57;P<.001)和智能设备的所有权相关(AOR5.19,95%CI2.83-9.51;P<.001)。没有兴趣/跳过问题与女性性别相关（AOR2.66，95％CI1.55-4.56；P<.001），高中或以下学历（AOR2.02，95%CI1.22-3.36；P=0.01），未结婚（AOR2.26，95%CI1.13-4.52；P=0.02），当前就业人数（AOR1.96，95%CI1.18-3.29；P=0.01），并且不拥有智能设备(AOR2.06，95%CI2.06-5.44；P<.001)。
结论：在患有糖尿病前期或糖尿病的纽约市，主要是低收入的南亚移民中，技术访问和社交媒体使用率中等高。性,教育,婚姻状况,和就业与对mHealth干预的兴趣相关。在设计和开发mHealth干预措施时，可能需要向南亚妇女提供更多支持。
背景：ClinicalTrials.govNCT03333044;https://classic。clinicaltrials.gov/ct2/show/NCT03333044,ClinicalTrials.govNCT03188094;https://classic.clinicaltrials.gov/ct2/show/NCT03188094.
■RR2-10.1186/s13063-019-3711-y。
目的：本研究考察了技术准入，当前使用,以及被诊断患有糖尿病或有糖尿病风险的南亚移民对健康交流的偏好，总体和性别。我们通过(1)短信检查了与接收糖尿病信息的兴趣相关的因素，（2）在线（视频，语音笔记,在线论坛)，和（3）没有或跳过，根据社会人口统计特征和技术获取进行调整。
方法：我们使用了2019-2021年从纽约市（NYC）的南亚移民的两项临床试验中收集的基线数据，一项试验侧重于糖尿病预防，另一项试验侧重于糖尿病管理。描述性统计数据用于检查社会人口统计学对技术使用的总体和性别分层影响。总体逻辑回归用于通过短信检查对糖尿病信息的偏好，在线(视频，语音笔记,或论坛)，和没有兴趣/跳过响应。
结果：总体样本（N=816）的平均年龄为51.8岁（SD11.0），大部分是女性(462/816，56.6%)，已婚（756/816，92.6%），高中以下学历（476/816，58.3％）和英语水平有限（731/816，89.6％）。大多数参与者有智能手机（611/816，74.9%），并报告有兴趣通过短信接收糖尿病信息（609/816，74.6%）。与男性参与者相比，女性参与者拥有智能手机(317/462,68.6%vs294/354,83.1%)或使用社交媒体应用程序(Viber:102/462,22.1%vs111/354,31.4%;WhatsApp:279/462,60.4%vs255/354,72.0%;Facebook:Messenger72/462,15.6%vs150/354,42.4%)。通过短信接收糖尿病信息的偏好与男性相关(调整后的比值比[AOR]1.63,95%CI1.01-2.55;P=.04),当前失业率（AOR1.62，95%CI1.03-2.53；P=.04），高中以上文化程度（AOR2.17，95%CI1.41-3.32；P<.001），并拥有智能设备（AOR3.35，95%CI2.17-5.18；P<.001）。对视频的偏好，语音笔记,或在线论坛与男性相关(AOR2.38,95%CI1.59-3.57;P<.001)和智能设备的所有权相关(AOR5.19,95%CI2.83-9.51;P<.001)。没有兴趣/跳过问题与女性性别相关（AOR2.66，95％CI1.55-4.56；P<.001），高中或以下学历（AOR2.02，95%CI1.22-3.36；P=0.01），未结婚（AOR2.26，95%CI1.13-4.52；P=0.02），当前就业人数（AOR1.96，95%CI1.18-3.29；P=0.01），并且不拥有智能设备(AOR2.06，95%CI2.06-5.44；P<.001)。
结论：在患有糖尿病前期或糖尿病的纽约市，主要是低收入的南亚移民中，技术访问和社交媒体使用率中等高。性,教育,婚姻状况,和就业与对mHealth干预的兴趣相关。在设计和开发mHealth干预措施时，可能需要向南亚妇女提供更多支持。
背景：ClinicalTrials.govNCT03333044;https://classic。clinicaltrials.gov/ct2/show/NCT03333044,ClinicalTrials.govNCT03188094;https://classic.clinicaltrials.gov/ct2/show/NCT03188094.
■RR2-10.1186/s13063-019-3711-y。
