Downloading that new weight-loss app may not be as beneficial as you think. A study published in American Journal of Preventive Medicine rated the top 30 weight-loss apps using criteria set by the Centers for Disease Control and Prevention’s Diabetes Prevention Plan, which consists of 20 behavior-based strategies, including willpower control, problem solving, stress reduction, motivation, and relapse prevention. Twenty-eight of the programs offered 25 percent or fewer of these essential tummy-trimming tactics. If you’re into tech, use your apps to log food and share your progress on social networks, but don't rely on either too heavily to make lasting lifestyle changes.
The major differences in life expectancy for women between developed and developing countries lie in the childbearing years. If a woman survives this period, the differences between the two regions become less marked, since in later life non-communicable diseases (NCDs) become the major causes of death in women throughout the world, with cardiovascular deaths accounting for 45% of deaths in older women, followed by cancer (15%) and lung disease (10%). These create additional burdens on the resources of developing countries. Changing lifestyles, including diet, physical activity and cultural factors that favour larger body size in women, are contributing to an increasing problem with obesity and diabetes amongst women in these countries and increasing the risks of cardiovascular disease and other NCDs.
Women's experience of health and disease differ from those of men, due to unique biological, social and behavioural conditions. Biological differences vary all the way from phenotype to the cellular, and manifest unique risks for the development of ill health. The World Health Organization (WHO) defines health as "a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity". Women's health is an example of population health, the health of a specific defined population.
The authors’ contributions were as follows—ELF and CD: were involved in the acquisition of the data; ELF, CD, SMD, and JF: were responsible for the interpretation of the data; ELF: wrote the paper and had primary responsibility for the content; CD, SMD, WS, and JF: were involved in providing detailed comments and revising the manuscript for important intellectual content; and all authors: were involved in the conception of this review and read and approved the final manuscript.
Consider including peppermint in your pre-workout snack or drink. In a small study published in the Journal of the International Society of Sports Nutrition, men drank 2 cups water with 0.05 milliliters (basically, a drop) peppermint oil mixed in and then ran on a treadmill to test their stamina and power. The mint appeared to help relax muscles, boost oxygen to muscles and the brain, and elevate pain threshold, leading to improved overall performance.
Our findings identified gaps and limitations in the evaluation, scope, targeting, and delivery platforms of nutrition interventions in low- and middle-income countries. First, the monitoring and evaluation of nutrition programs that reported on women's nutrition outcomes was generally inadequate. Many of the studies we identified included small-scale efficacy trials. Although there were many large-scale programs that targeted women and adolescent girls with nutrition-specific and nutrition-sensitive approaches, they lacked rigorous evaluation. Whether the evidence about women's outcomes was limited because they are not systematically measured or because they are not well reported is not clear. Negative results are often not published, and many evaluations of nutrition interventions that are conducted by the same groups responsible for implementing them are typically presented positively. This may have also skewed our findings. More intentional research-quality program evaluation, including of large-scale programs, would provide a stronger evidence base. Of the studies identified in this review, many reported on short-term findings such as changes in knowledge, dietary behaviors, and program coverage. They were limited in their ability to report clinical and anthropometric outcomes for women, the duration of those outcomes, and the feasibility of scaling up programs. There is also a need for systematic, long-term evaluations of interventions whose effects on nutrition outcomes are more distal (e.g., nutrition education compared with micronutrient supplementation). The effects of multisectoral interventions are even more complex to measure. However, frameworks exist to evaluate complex interventions (102) and could be utilized to evaluate the impact of interventions across the life course.