Women's reproductive and sexual health has a distinct difference compared to men's health. Even in developed countries pregnancy and childbirth are associated with substantial risks to women with maternal mortality accounting for more than a quarter of a million deaths per year, with large gaps between the developing and developed countries. Comorbidity from other non reproductive disease such as cardiovascular disease contribute to both the mortality and morbidity of pregnancy, including preeclampsia. Sexually transmitted infections have serious consequences for women and infants, with mother-to-child transmission leading to outcomes such as stillbirths and neonatal deaths, and pelvic inflammatory disease leading to infertility. In addition infertility from many other causes, birth control, unplanned pregnancy, unconsensual sexual activity and the struggle for access to abortion create other burdens for women.
Calcium: For adult women aged 19-50, the USDA recommended daily allowance is 1,000 mg/day. For women over 50, the recommended daily allowance is 1,200 mg/day. Good sources of calcium include dairy products, leafy green vegetables, certain fish, grains, tofu, cabbage, and summer squash. Your body cannot take in more than 500 mg at any one time and there’s no benefit to exceeding the recommended daily amount.
For girls and adult women, educational interventions are considered a powerful means of improving their health and nutritional status throughout their lives. Education level is often associated with maternal caregiving practices and the nutritional outcomes of their children (174, 175). Few studies, however, evaluated the impact of education as an intervention on women's nutrition outcomes. Instead, many studies used survey data and reported on associations between education and nutrition. For instance, in low- and middle-income countries, higher levels of education were associated with lower prevalence of underweight and higher prevalence of overweight among women (176, 177). However, this depended on the type of employment in which women participated (178, 179). In addition, in many high-income settings, the converse was true (177). Level of literacy was also associated with improved anthropometric measures. In southern Ethiopia, literate mothers were 25% less likely to be undernourished than were illiterate women (180). One econometric analysis suggested that doubling primary school attendance in settings with low school attendance was associated with a 20–25% decrease in food insecurity (181). Overall, though, these associations were limited in their ability to draw conclusions about causality and the effect of education interventions on nutrition outcomes.
Complementing income-generating interventions with interventions that more directly target women's nutrition has potential to have greater impacts on women's nutritional status (171). Integrated interventions were associated with improvements in health knowledge and behaviors, as well as increased intake of nutrient-rich foods (5, 164, 169, 170, 172). In Bangladesh and Cambodia, the aforementioned EHFP program was associated with increased income, decision-making power in the household, food expenditure (including on oils, salts, spices, fish, rice, and meat), and consumption of fruits and vegetables from home gardens (160, 173). There was also limited, but mixed, evidence of income-generating interventions and behavior change communication causing improvements in maternal anemia and BMI (164, 168, 170).
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.).