Women's health has been described as "a patchwork quilt with gaps". Although many of the issues around women's health relate to their reproductive health, including maternal and child health, genital health and breast health, and endocrine (hormonal) health, including menstruation, birth control and menopause, a broader understanding of women's health to include all aspects of the health of women has been urged, replacing "Women's Health" with "The Health of Women". The WHO considers that an undue emphasis on reproductive health has been a major barrier to ensuring access to good quality health care for all women. Conditions that affect both men and women, such as cardiovascular disease, osteoporosis, also manifest differently in women. Women's health issues also include medical situations in which women face problems not directly related to their biology, such as gender-differentiated access to medical treatment and other socioeconomic factors. Women's health is of particular concern due to widespread discrimination against women in the world, leaving them disadvantaged.
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There were also supplementation programs that targeted nonpregnant women. National supplementation programs that provided food baskets to low-income families increased maternal BMI and improved household food insecurity (92, 93). However, there were some unintended consequences. In Mexico, food transfer programs disproportionately increased weight gain in overweight women compared with underweight women (93), and 1 study in Bangladesh found that food transfers had larger impacts on men's intake than women's intake, except with less preferred foods (94). Adolescents who received protein-energy supplementation at school showed an increase in weight gain during supplementation, as well as improvements in school attendance and mathematics scores (46, 95). However, the impact of supplementation on micronutrient deficiencies and, specifically, hemoglobin concentration, was limited (46).
Home visits ↓ anemia, ↑ Hgb, ↑ food consumption, ↑ weight gain (underweight adolescents), NC mortality, ↓ fatigue ↓ anemia, ↑ serum folate, ↑ serum B-12, NC mortality, NC depression ↓ anemia, ↑ MN status (Hgb, ferritin, folate, B-12, zinc, riboflavin), ↑/NC serum retinol, ↓/NC night blindness, ↑ weight gain, NC maternal mortality, NC depression
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.
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).
Almost 25% of women will experience mental health issues over their lifetime. Women are at higher risk than men from anxiety, depression, and psychosomatic complaints. Globally, depression is the leading disease burden. In the United States, women have depression twice as often as men. The economic costs of depression in American women are estimated to be $20 billion every year. The risks of depression in women have been linked to changing hormonal environment that women experience, including puberty, menstruation, pregnancy, childbirth and the menopause. Women also metabolise drugs used to treat depression differently to men. Suicide rates are less in women than men (<1% vs. 2.4%), but are a leading cause of death for women under the age of 60.
Micronutrient supplementation Health clinics ↓ anemia and Fe-deficiency anemia, ↑ Hgb, ↓ soil-transmitted helminth infection, ↑ cognitive function ↓ anemia and Fe-deficiency anemia, ↑ Hgb, ↑ serum ferritin, ↓ soil-transmitted helminth infection ↓/NC anemia, ↑/NC MN status (Hgb, folate, zinc, retinol), ↑ MN status [ferritin, B-12, 25(OH)D], ↓/NC gestational hypertension and pre-eclampsia, NC gestational diabetes, ↓/NC hyperthyroidism, ↓/NC night blindness, ↓ bone mineral content, ↑ weight gain (among underweight women), ↓ maternal mortality, ↓/NC placental malaria, NC parasitemia, NC maternal infection, ↓/NC depression and perceived stress
Potdar RD, Sahariah SA, Gandhi M, Kehoe SH, Brown N, Sane H, Dayama M, Jha S, Lawande A, Coakley PJ et al. Improving women's diet quality preconceptionally and during gestation: effects on birth weight and prevalence of low birth weight—a randomized controlled efficacy trial in India (Mumbai Maternal Nutrition Project). Am J Clin Nutr 2014;100(5):1257–68.
Globally, cervical cancer is the fourth commonest cancer amongst women, particularly those of lower socioeconomic status. Women in this group have reduced access to health care, high rates of child and forced marriage, parity, polygamy and exposure to STIs from multiple sexual contacts of male partners. All of these factors place them at higher risk. In developing countries, cervical cancer accounts for 12% of cancer cases amongst women and is the second leading cause of death, where about 85% of the global burden of over 500,000 cases and 250,000 deaths from this disease occurred in 2012. The highest incidence occurs in Eastern Africa, where with Middle Africa, cervical cancer is the commonest cancer in women. The case fatality rate of 52% is also higher in developing countries than in developed countries (43%), and the mortality rate varies by 18-fold between regions of the world.
In the United States, infertility affects 1.5 million couples. Many couples seek assisted reproductive technology (ART) for infertility. In the United States in 2010, 147,260 in vitro fertilization (IVF) procedures were carried out, with 47,090 live births resulting. In 2013 these numbers had increased to 160,521 and 53,252. However, about a half of IVF pregnancies result in multiple-birth deliveries, which in turn are associated with an increase in both morbidity and mortality of the mother and the infant. Causes for this include increased maternal blood pressure, premature birth and low birth weight. In addition, more women are waiting longer to conceive and seeking ART.
Although women in industrialised countries have narrowed the gender gap in life expectancy and now live longer than men, in many areas of health they experience earlier and more severe disease with poorer outcomes. Gender remains an important social determinant of health, since women's health is influenced not just by their biology but also by conditions such as poverty, employment, and family responsibilities. Women have long been disadvantaged in many respects such as social and economic power which restricts their access to the necessities of life including health care, and the greater the level of disadvantage, such as in developing countries, the greater adverse impact on health.
The U.S. Department of Agriculture's (USDA) food pyramid system (www.mypyramid.gov) provides a good start by recommending that the bulk of your diet come from the grain group—this includes bread, cereal, rice and pasta— the vegetable group; and the fruit group. Select smaller amounts of foods from the milk group and the meat and beans group. Eat few—if any—foods that are high in fat and sugars and low in nutrients. The amount of food you should consume depends on your sex, age and level of activity.
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.
Fourth and finally, there was a general lack of focus on the relevant delivery platforms for nutrition interventions. Many studies were not explicit about how and where interventions were delivered, and we had to cross-reference multiple sources to identify the delivery platform for many interventions. Delivery platforms are important and relevant information in terms of replicability, but also for identifying who is effectively reached and missed. Information about delivery platforms is also instrumental in understanding gaps in implementation. A greater emphasis on delivery platforms could enhance the reach of nutrition interventions and could also strengthen the capacity to mobilize resources more effectively. For instance, organizing and grouping interventions by delivery platform (e.g., antenatal care, community centers, schools, clinics) or by the relevant stakeholders required for delivery (e.g., ministries, health care providers, teachers, administrators, transporters, etc.) could have the potential to more efficiently deliver nutrition interventions.
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.