As women, many of us are prone to neglecting our own dietary needs. You may feel you’re too busy to eat right, used to putting the needs of your family first, or trying to adhere to an extreme diet that leaves you short on vital nutrients and feeling cranky, hungry, and low on energy. Women’s specific needs are often neglected by dietary research, too. Studies tend to rely on male subjects whose hormone levels are more stable and predictable, thus sometimes making the results irrelevant or even misleading to women’s needs. All this can add up to serious shortfalls in your daily nutrition.

Fluids: Fluid needs increase as women age. The reason: Kidneys become less efficient at removing toxins. “Drinking more fluids helps kidneys do their job,” Schwartz says. “Unfortunately, thirst signals often become impaired with age, so people are less likely to drink enough water and other fluids.” Rather than fret about how many glasses to drink, Frechman says, check the color of your urine. "It should be clear or very pale colored. If it becomes darker, you need more fluid.”

Focus on the long term. Diets fail when people fall back into poor eating habits; maintaining weight loss over the long term is exceedingly difficult. Most people regain the weight they've lost. In fact, some studies indicate that 90 to 95 percent of all dieters regain some or all of the weight originally lost within five years. Your program should include plans for ongoing weight maintenance, involving diet, exercise and a behavioral component. While there are some physical reasons for obesity, there are also behavioral reasons for excessive eating. For example, many women use food as a source of comfort (perhaps to deal with stress). For these women, a weight loss program with a behavioral component will offer alternatives to replace food in this role.

What you eat and drink is influenced by where you live, the types of foods available in your community and in your budget, your culture and background, and your personal preferences. Often, healthy eating is affected by things that are not directly under your control, like how close the grocery store is to your house or job. Focusing on the choices you can control will help you make small changes in your daily life to eat healthier.
What's a man to do? Fortunately, he does not have to choose between his bones and his prostate. The solution is moderation. The Baltimore Longitudinal Study of Aging, for example, found no link between a moderate consumption of calcium (about 800 mg a day, two-thirds of the RDA) and prostate cancer. In addition, a randomized clinical trial of calcium supplements of 1,200 mg a day found no effect on the prostate, but only 327 men were in the calcium group, and the supplementation lasted just four years. Finally, the Harvard scientists speculate that a high consumption of vitamin D may offset the possible risks of calcium, so a daily multivitamin may also help.
Oils. When cooking try to use oils from plants instead of solid fats like butter, margarine, or coconut oil. See this list of oils and fats to see how healthy each type of cooking oil and solid fat is. Most women eat too much solid fat through packaged foods like chips or salad dressing, and not enough healthy fats like olive oil or the type of fat in seafood.
The effect of education programs on nutrition outcomes is difficult to assess because programs often have poor baseline data or nutrition outcomes are not evaluated (174, 182). Studies that used longitudinal analyses and “natural” experiments (e.g., before and after a national education policy) found that education was associated with reduced fertility (183, 184), and delayed early marriages and pregnancies (184–187). The impact was more significant for higher levels of education (185). However, 1 study in Malawi identified negative associations between education and timing of first birth, although these findings were largely not statistically significant (188). Secondary education for adolescents and women of reproductive age also showed no impact on women's empowerment (184), although it did show an impact on improved literacy and leadership (174). Educational interventions that provided conditional cash transfers (CCTs) and school feeding, as well as other forms of social protection to families of enrolled girls, were associated with greater school enrollment and attendance (189–191), improved test scores (189, 190), reduced gender gaps (192), and reduced hunger (190, 191).
The class itself was so uninspiring. She spent a couple of minutes showing us the moves that we would be doing in the circuit. As another yelper mentioned, the instructor was reading off of a piece of paper. After that we performed the circuit without any breaks, even with that, I barely broke a sweat. The class went by too fast and I did not find myself to be challenged, yes the moves were difficult, but not challenging in that we did a circuit twice in 30 second intervals so I did not feel like I worked out any one part of my body for very long before we moved on to something else.
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.
Many nutrition-sensitive approaches were delivered in broader community-based settings and more equitably reached women across the life course. Non-facilities-based settings more equitably delivered nutrition interventions to women who were not pregnant or lactating, and who were less engaged with health clinics and schools. For instance, food fortification, which was often delivered through markets, home visits, and community centers, seemed to be more effective at reaching women of reproductive age than health center–based delivery platforms. Community-level interventions are often reported as more equitable than platforms that require access to “fixed and well-equipped health facilities” (212). This aligns with our findings, where we found that community-based platforms such as home visits, community centers, homes of community leaders, work, mass media, mobile phones, and commercial settings were effective at reaching women across the life course (Table 1). Other delivery platforms such as marketplaces, water points, tailoring shops, and agricultural points for seeds or inputs were also effective. These locations need to be context-specific in order to capture where women spend their time. For instance, in countries where many adolescent girls do not attend school, school-based delivery platforms might be less effective. Delivery platforms also need to be sensitive to the sociodemographic differences that influence where women spend their time, such as differences for women in rural and urban areas, and of different socioeconomic statuses. Additional research needs to identify and report where women and adolescent girls are, and how best to reach them.
^ Jump up to: a b c Aldridge, Robert W.; Story, Alistair; Hwang, Stephen W.; Nordentoft, Merete; Luchenski, Serena A.; Hartwell, Greg; Tweed, Emily J.; Lewer, Dan; Vittal Katikireddi, Srinivasa (2017-11-10). "Morbidity and mortality in homeless individuals, prisoners, sex workers, and individuals with substance use disorders in high-income countries: a systematic review and meta-analysis". Lancet. 391 (10117): 241–250. doi:10.1016/S0140-6736(17)31869-X. ISSN 1474-547X. PMC 5803132. PMID 29137869. All-cause standardised mortality ratios were significantly increased in 91 (99%) of 92 extracted datapoints and were 11·86 (95% CI 10·42–13·30; I2=94·1%) in female individuals