Effect of nutrition intervention on symptoms of premenstrual syndrome among women of reproductive age 20 to 45 years

Abstract

Premenstrual symptoms even though mild to moderate in intensity might adversely affect newlineand influence daily activity and work productivity (Freeman, 2003). PMS Symptoms are often newlineunder diagnosed as they are usually not reported by the patient correctly or a clinician often finds newlineit difficult to ask the questions and it has difficulty in diagnosis. Age at menarche had positive newlinecorrelation with the individual PMS symptoms of anger (r=0.093; plt0.05) and days of newlinemenstruation showed negative correlation with the individual PMS symptoms, irritability (r=- newline0.258; p=0.00) and depression (r=-0.018; plt0.05). In anthropometric measurements, Waist/Hip newlineratio alone had positive correlation with PMS symptoms like changes in sex desire (r=0.322; newlinep=0.00); food craving (r=0.101; plt0.05) and abdominal pain (r=0.109; plt0.05). Though most of newlinethe symptoms had mild degree of positive correlation with Waist-Hip Ratio and other newlineanthropometric parameters like BMI values, height and weight, and were statistically not newlinesignificant. The participants readily accepted the health mix cookies due to its Calcium and other newlinenutrient content and also its health benefits. newlineFormulated health mix cookies contributed 19.05 g of protein, 507 mg of Calcium and 604 newlinemg of Magnesium, 18.9 mg of Iron and 233 micro grams of beta carotene per 100 g of the cookies newlineused for dietary intervention for the period of 120 days. The individual PMS symptoms showed newlinestatistically significant difference in the experimental group before and after intervention as well newlineas among the experimental and control group before and after intervention. It might be due to the newlinemicro nutrients present in the health mix cookies and also due to the impact of nutrition and health newlineeducation. newlineMajor Objectives: newlinei) Find out the prevalence of PMS (PMS) among the women of reproductive age (20-45 newlineyears). newlineii) Study the influence of demographic, dietary, menstrual, nutritional and psychological newlinevariables on PMS newlineiii) Formulation and evaluation of health mix rich in micro nutrients for dietary newlineintervention