Changes in the way research ethics was visualised in the wake of the Nuremberg Trials (1946), led to an atmosphere of protectionism of groups deemed to be vulnerable that was often legislated or regulated. This resulted in the relative underrepresentation of women in clinical trials. The position of women in research was further compromised in 1977, when in response to the tragedies resulting from thalidomide and diethylstilbestrol (DES), the United States Food and Drug Administration (FDA) prohibited women of child-bearing years from participation in early stage clinical trials. In practice this ban was often applied very widely to exclude all women. Women, at least those in the child-bearing years, were also deemed unsuitable research subjects due to their fluctuating hormonal levels during the menstrual cycle. However, research has demonstrated significant biological differences between the sexes in rates of susceptibility, symptoms and response to treatment in many major areas of health, including heart disease and some cancers. These exclusions pose a threat to the application of evidence-based medicine to women, and compromise to care offered to both women and men.
Home visits ↓/NC anemia, ↑/NC Hgb, ↑ serum ferritin, ↑/NC serum retinol, ↓ vitamin A deficiency ↓/NC anemia and Fe-deficiency anemia, ↑/NC Hgb, ↑/NC serum ferritin, ↑ serum folate, ↑ serum zinc, NC serum retinol ↓ anemia, ↑ Hgb, ↑ serum ferritin, ↑/NC serum retinol, ↑ erythrocyte thiamine diphosphate concentrations, ↓ night blindness, ↑/NC weight gain ↓ anemia, ↑/NC Hgb, ↑ serum ferritin, NC serum retinol, ↑ serum calcium, ↑ 25(OH)D concentrations, ↓ PTH, ↓ bone turnover
The social view of health combined with the acknowledgement that gender is a social determinant of health inform women's health service delivery in countries around the world. Women's health services such as Leichhardt Women's Community Health Centre which was established in 1974 and was the first women's health centre established in Australia is an example of women's health approach to service delivery.
Rocking out to your fave playlist helps you power through a grueling workout, and now research shows singing, humming, or whistling may be just as beneficial. [Tweet this tip!] A German and Belgian study found that making music—and not just listening to it—could impact exercise performance. People who worked out on machines designed to create music based on their efforts exerted more energy (and didn't even know it) compared to others who used traditional equipment. Sweating to your own tune may help make physical activities less exhausting, researchers say.
Food fortification is one of the most cost-effective strategies to improve micronutrient status through a variety of food vehicles, including staples, condiments, and processed foods (63, 64). Common fortifiable micronutrients include iron, folic acid, vitamin A, vitamin D, vitamin E, and iodine, although B vitamins and vitamin C are also used as fortificants (33, 64). Food fortification reduced anemia and iron deficiency anemia, and improved vitamin A, folate, niacin, thiamin, vitamin B-6, vitamin B-12, zinc, and iodine status of women of reproductive age and adolescents (13, 46, 61, 63–74). Vitamin D and calcium fortification were found to reduce the risk of osteoporosis among older women, especially for those exposed to inadequate sunlight (63, 64). Biofortification efforts, including those that involved breeding or genetic modification of plants to improve micronutrient content, have also shown improvements in the vitamin A and iron status of women (64, 75). Similar to micronutrient supplementation, women and girls with low micronutrient status were most likely to benefit.
WASH interventions, such as toilet facilities, access to improved and safe water supply, and hand washing are associated with improved nutrition and health of entire communities (13, 14, 125–128). For women and adolescent girls, WASH interventions were associated with improved menstrual hygiene (126), reduced diarrhea and intestinal worm infections (128–131), and reduced maternal mortality (132). Women and young girls are also more affected by the physical and time burdens of collecting water (126), and harassment and violence associated with inadequate and unsafe toilet facilities (133, 134). Closer water points and sanitation facilities eased these gendered burdens (126, 135). WASH interventions and perceived water availability were associated with less time spent on water-related chores, and improved school attendance, women's empowerment, and self-esteem (126, 135, 136).
We conducted a comprehensive narrative review to synthesize the existing literature on interventions targeting women's nutrition (11). We searched the PubMed database and Google Scholar from 1990 to December 2017 for peer-reviewed articles, systematic reviews, and grey literature that reported on a set of nutrition-specific and nutrition-sensitive interventions, outlined in what follows. We also reviewed the cited sources of key articles. When available, we used existing reviews to identify studies. Some of the review articles that emerged from our search included both high-income countries and low- and middle-income countries. When possible, we specified the delivery platforms for low- and middle-income countries. For review articles that did not explicitly describe the intervention delivery platforms, we reviewed the cited primary sources to identify the delivery platform for the discussed interventions.
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.).