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  1. 230541
  2. 230542
    “…OBJECTIVE: The objective of our study was to develop a user-centered, theory-based, scalable intervention of printed educational materials to encourage and support people who have had a heart attack to use recommended secondary prevention cardiac treatments. …”
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  3. 230543
    “…Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. …”
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  4. 230544
    “…In general, CCSs preferred the paper-based over the Web-based questionnaire, and those completing the paper-based questionnaire were more often unemployed (P=.004) and lower educated (P<.001). CONCLUSION: Invitation strategies offering a Web-based questionnaire without a paper-based alternative at first invitation can be used without compromising participation rates of CCS. …”
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  5. 230545
    “…RESULTS: The most common aim of apps was educational (73/101, 72.3%), followed by behavior change (24/101, 23.9%), fundraising (20/101, 19.8%), and advocacy (14/101, 13.9%). …”
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  6. 230546
  7. 230547
    “…App components included medication reminders, self-reporting of medication adherence and symptoms, an education library including nutritional information, Fitbit integration, social networking resources, and individually tailored symptom management feedback. …”
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  8. 230548
    “…RESULTS: The Clinic and Web samples were similar in age (39.0 years, SD 13.9 vs 40.2 years, SD 12.5, respectively), education, and proportion in full time employment. …”
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  9. 230549
    “…Additionally, there was a large knowledge-practice gap. Multi-component educational interventions targeting behavioral betterment seemed necessary for these adolescents to improve their CVD-related knowledge, along with appropriate translation of knowledge into exercise and eating practices to minimize future risk of CVDs.…”
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  10. 230550
    “…Intention to test by CHTC was negatively associated with higher educational level (Some college or Associate’s degree vs high school graduate or less [AOR 0.81; 95% CI 0.39-1.70]; Bachelor’s degree or more vs high school graduate or less [AOR 0.28; 95% CI 0.11-0.70]). …”
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  11. 230551
    por Kassebaum, Nicholas, Kyu, Hmwe Hmwe, Zoeckler, Leo, Olsen, Helen Elizabeth, Thomas, Katie, Pinho, Christine, Bhutta, Zulfiqar A., Dandona, Lalit, Ferrari, Alize, Ghiwot, Tsegaye Tewelde, Hay, Simon I., Kinfu, Yohannes, Liang, Xiaofeng, Lopez, Alan, Malta, Deborah Carvalho, Mokdad, Ali H., Naghavi, Mohsen, Patton, George C., Salomon, Joshua, Sartorius, Benn, Topor-Madry, Roman, Vollset, Stein Emil, Werdecker, Andrea, Whiteford, Harvey A., Abate, Kalkidan Hasen, Abbas, Kaja, Damtew, Solomon Abrha, Ahmed, Muktar Beshir, Akseer, Nadia, Al-Raddadi, Rajaa, Alemayohu, Mulubirhan Assefa, Altirkawi, Khalid, Abajobir, Amanuel Alemu, Amare, Azmeraw T., Antonio, Carl A. T., Arnlov, Johan, Artaman, Al, Asayesh, Hamid, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Bacha, Umar, Betsu, Balem Demtsu, Barac, Aleksandra, Bärnighausen, Till Winfried, Baye, Estifanos, Bedi, Neeraj, Bensenor, Isabela M., Berhane, Adugnaw, Bernabe, Eduardo, Bernal, Oscar Alberto, Beyene, Addisu Shunu, Biadgilign, Sibhatu, Bikbov, Boris, Boyce, Cheryl Anne, Brazinova, Alexandra, Hailu, Gessessew Bugssa, Carter, Austin, Castañeda-Orjuela, Carlos A., Catalá-López, Ferrán, Charlson, Fiona J., Chitheer, Abdulaal A., Choi, Jee-Young Jasmine, Ciobanu, Liliana G., Crump, John, Dandona, Rakhi, Dellavalle, Robert P., Deribew, Amare, deVeber, Gabrielle, Dicker, Daniel, Ding, Eric L., Dubey, Manisha, Endries, Amanuel Yesuf, Erskine, Holly E., Faraon, Emerito Jose Aquino, Faro, Andre, Farzadfar, Farshad, Fernandes, Joao C., Fijabi, Daniel Obadare, Fitzmaurice, Christina, Fleming, Thomas D., Flor, Luisa Sorio, Foreman, Kyle J., Franklin, Richard C., Fraser, Maya S., Frostad, Joseph J., Fullman, Nancy, Gebregergs, Gebremedhin Berhe, Gebru, Alemseged Aregay, Geleijnse, Johanna M., Gibney, Katherine B., Gidey Yihdego, Mahari, Ginawi, Ibrahim Abdelmageem Mohamed, Gishu, Melkamu Dedefo, Gizachew, Tessema Assefa, Glaser, Elizabeth, Gold, Audra L., Goldberg, Ellen, Gona, Philimon, Goto, Atsushi, Gugnani, Harish Chander, Jiang, Guohong, Gupta, Rajeev, Tesfay, Fisaha Haile, Hankey, Graeme J., Havmoeller, Rasmus, Hijar, Martha, Horino, Masako, Hosgood, H. Dean, Hu, Guoqing, Jacobsen, Kathryn H., Jakovljevic, Mihajlo B., Jayaraman, Sudha P., Jha, Vivekanand, Jibat, Tariku, Johnson, Catherine O., Jonas, Jost, Kasaeian, Amir, Kawakami, Norito, Keiyoro, Peter N., Khalil, Ibrahim, Khang, Young-Ho, Khubchandani, Jagdish, Ahmad Kiadaliri, Aliasghar A., Kieling, Christian, Kim, Daniel, Kissoon, Niranjan, Knibbs, Luke D., Koyanagi, Ai, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kulikoff, Rachel, Kumar, G. Anil, Lal, Dharmesh Kumar, Lam, Hilton Y., Larson, Heidi J., Larsson, Anders, Laryea, Dennis Odai, Leung, Janni, Lim, Stephen S., Lo, Loon-Tzian, Lo, Warren D., Looker, Katharine J., Lotufo, Paulo A., Magdy Abd El Razek, Hassan, Malekzadeh, Reza, Markos Shifti, Desalegn, Mazidi, Mohsen, Meaney, Peter A., Meles, Kidanu Gebremariam, Memiah, Peter, Mendoza, Walter, Abera Mengistie, Mubarek, Mengistu, Gebremichael Welday, Mensah, George A., Miller, Ted R., Mock, Charles, Mohammadi, Alireza, Mohammed, Shafiu, Monasta, Lorenzo, Mueller, Ulrich, Nagata, Chie, Naheed, Aliya, Nguyen, Grant, Nguyen, Quyen Le, Nsoesie, Elaine, Oh, In-Hwan, Okoro, Anselm, Olusanya, Jacob Olusegun, Olusanya, Bolajoko O., Ortiz, Alberto, Paudel, Deepak, Pereira, David M., Perico, Norberto, Petzold, Max, Phillips, Michael Robert, Polanczyk, Guilherme V., Pourmalek, Farshad, Qorbani, Mostafa, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rai, Rajesh Kumar, Ram, Usha, Rankin, Zane, Remuzzi, Giuseppe, Renzaho, Andre M. N., Roba, Hirbo Shore, Rojas-Rueda, David, Ronfani, Luca, Sagar, Rajesh, Sanabria, Juan Ramon, Kedir Mohammed, Muktar Sano, Santos, Itamar S., Satpathy, Maheswar, Sawhney, Monika, Schöttker, Ben, Schwebel, David C., Scott, James G., Sepanlou, Sadaf G., Shaheen, Amira, Shaikh, Masood Ali, She, June, Shiri, Rahman, Shiue, Ivy, Sigfusdottir, Inga Dora, Singh, Jasvinder, Silpakit, Naris, Smith, Alison, Sreeramareddy, Chandrashekhar, Stanaway, Jeffrey D., Stein, Dan J., Steiner, Caitlyn, Sufiyan, Muawiyyah Babale, Swaminathan, Soumya, Tabarés-Seisdedos, Rafael, Tabb, Karen M., Tadese, Fentaw, Tavakkoli, Mohammad, Taye, Bineyam, Teeple, Stephanie, Tegegne, Teketo Kassaw, Temam Shifa, Girma, Terkawi, Abdullah Sulieman, Thomas, Bernadette, Thomson, Alan J., Tobe-Gai, Ruoyan, Tonelli, Marcello, Tran, Bach Xuan, Troeger, Christopher, Ukwaja, Kingsley N., Uthman, Olalekan, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Vlassov, Vasiliy Victorovich, Weiderpass, Elisabete, Weintraub, Robert, Gebrehiwot, Solomon Weldemariam, Westerman, Ronny, Williams, Hywel C., Wolfe, Charles D. A., Woodbrook, Rachel, Yano, Yuichiro, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zuhlke, Liesl Joanna, Murray, Christopher J. L., Vos, Theo
    Publicado 2017
    “…A composite indicator of income, education, and fertility was developed (Socio-demographic Index [SDI]) for each geographic unit and year, which evaluates the historical association between SDI and health loss. …”
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  12. 230552
    “…Willey, Mount Sinai Hospital: Investigator, Educational support S. M. Poutanen, Accelerate Diagnostics: Research Contractor and Scientific Advisor, Consulting fee and Research support…”
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  13. 230553
    “…Compared with MSM, more TG were single (79.7% vs. 71.6%), had lower education (23.6% vs. 40% with diploma or higher), had lower income (35.7% vs. 42.6% gained >288 USD/month), had first sex at young age (20.1% vs. 12.8% at <15 years old), and reported >3 sexual partners in the past 6 months (32.9% vs. 24.6%) (all P < 0.001). …”
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  14. 230554
  15. 230555
    “…An ICT-based telehealth program with voice recognition technology was developed and used by patients with HF for 12 weeks. Patients were educated on the use of this program via mobile phone, landline, or the Internet for the purpose of improving communication and data collection. …”
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  16. 230556
  17. 230557
    “…Socioeconomic variables (age, gender, family income, education duration, immigrant status, and job status) were compared both between respondents and nonrespondents and within these groups to evaluate the degree of selection bias. …”
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  18. 230558
  19. 230559
  20. 230560
    “…One such sensor is the Speck sensor developed at the Community Robotics, Education and Technology Empowerment Lab at Carnegie Mellon University. …”
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