Manson, JoAnn E.; Chlebowski, Rowan T.; Stefanick, Marcia L.; Aragaki, Aaron K.; Rossouw, Jacques E.; Prentice, Ross L.; Anderson, Garnet; Howard, Barbara V.; Thomson, Cynthia A.; LaCroix, Andrea Z.; Wactawski-Wende, Jean; Jackson, Rebecca D.; Limacher, Marian; Margolis, Karen L.; Wassertheil-Smoller, Sylvia; Beresford, Shirley A.; Cauley, Jane A.; Eaton, Charles B.; Gass, Margery; Hsia, Judith; Johnson, Karen C.; Kooperberg, Charles; Kuller, Lewis H.; Lewis, Cora E.; Liu, Simin; Martin, Lisa W.; Ockene, Judith K.; O'sullivan, Mary Jo; Powell, Lynda H.; Simon, Michael S.; Van Horn, Linda; Vitolins, Mara Z.; Wallace, Robert B. (2 October 2013). "Menopausal Hormone Therapy and Health Outcomes During the Intervention and Extended Poststopping Phases of the Women's Health Initiative Randomized Trials". JAMA. 310 (13): 1353–1368. doi:10.1001/jama.2013.278040. PMC 3963523. PMID 24084921.
If you thought texting changed your love life, imagine what it could do for your waistline. When people received motivational text messages promoting exercise and healthy behaviors twice a week (i.e., “Keep in the fridge a Ziploc with washed and precut vegetables 4 quick snack. Add 1 string cheese 4 proteins”), they lost an average of about 3 percent of their body weight in 12 weeks. Participants in the Virginia Commonwealth University study also showed an improvement in eating behaviors, exercise, and nutrition self-efficacy, and reported that the texts helped them adopt these new habits. Find health-minded friends and message each other reminders, or program your phone to send yourself healthy eating tips.
Nutrition-sensitive approaches are difficult to link to women's nutritional status (5, 102). This is due to limited measurement of benefits to program beneficiaries, families, households, and communities, limited timeframes to evaluate long-term impact, logistical and political realities that make implementation difficult, and different priorities of different stakeholders in multisectoral programs (102). Many nutrition-sensitive approaches, as will be described, thus focus on more distal measures of impact (e.g., coverage, knowledge) and not more proximal measures of women's nutritional status (e.g., BMI, anemia status, etc.).
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