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Dietary risk factors and therapy outcomes of swallowing-related problems in laryngopharyngeal reflux: patients’ perspectives
Published 2021-07-01“…Results Analysis of data regarding the role of diet as a risk factor for reflux revealed that 33 patients (55%) are eating meat, 56 patients (93.3%) eating fat, 45 patients (75%) eating sweet, 55 patients (91.7%) eating spicy food, 52 patients (96.7%) eating fried food, 34 patients (56.7%) drinking tea, 51 patients (85%) eating big meals, 21 patients (35%) drinking fruit juices, 54 patients (90%) eating sour foods, 51 patients (85%) eating citrus fruits, and 22 patients (36.7%) smokers. …”
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Household costs incurred when seeking and receiving paediatric tuberculosis services: a survey in Cameroon and Kenya
Published 2023-11-01“…The main cost drivers across both countries were direct non-medical costs (transportation and food), 52%; and medical costs, 34%. Approximately 50% of households reported experiencing dissavings (taking a loan, or selling an asset) to deal with costs related to TB disease. …”
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Analysis of fat and fatty acid intake of urban residents over 3 years old in Guangdong Province
Published 2022-01-01“…Fat intake mainly came from animal food (52.8%) and vegetable oil (30.9%). The proportion of total fat from vegetable oil in small and medium-sized cities was higher than that in large cities (32.7% vs 27.7%, P<0.05). …”
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Effect of Dry Season Tomato Farming on Poverty Alleviation among Women Farmers in Niger State, Nigeria
Published 2009-12-01“…Results showed that many of the women (61.7%),usually sold their produce at the village markets ,mostly every week either in retails or in bulks or both(47.6%) with an estimated monthly income of between N6,000 and N15,000 by many of them (63%).In view of this, their expenditure performances indicated that many of the women farmers were above average in meeting the following basic  needs; food (52%), clothing (48.1%), housing (57%),health care (39.9%) and children’s education (19.4%).Generally the effect of dry season tomato farming  on poverty reduction as indicated by majority of  the women farmers was on the high side. …”
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Effect of Dry Season Tomato Farming on Poverty Alleviation among Women Farmers in Niger State, Nigeria
Published 2009-12-01“…Results showed that many of the women (61.7%),usually sold their produce at the village markets ,mostly every week either in retails or in bulks or both(47.6%) with an estimated monthly income of between N6,000 and N15,000 by many of them (63%).In view of this, their expenditure performances indicated that many of the women farmers were above average in meeting the following basic  needs; food (52%), clothing (48.1%), housing (57%),health care (39.9%) and children’s education (19.4%).Generally the effect of dry season tomato farming  on poverty reduction as indicated by majority of  the women farmers was on the high side. …”
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Effect of Dry Season Tomato Farming on Poverty Alleviation among Women Farmers in Niger State, Nigeria
Published 2009-12-01“…Results showed that many of the women (61.7%),usually sold their produce at the village markets ,mostly every week either in retails or in bulks or both(47.6%) with an estimated monthly income of between N6,000 and N15,000 by many of them (63%).In view of this, their expenditure performances indicated that many of the women farmers were above average in meeting the following basic  needs; food (52%), clothing (48.1%), housing (57%),health care (39.9%) and children’s education (19.4%).Generally the effect of dry season tomato farming  on poverty reduction as indicated by majority of  the women farmers was on the high side. …”
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Acceptability Analysis of 3D-Printed Food in the Area of the Czech Republic Based on Survey
Published 2022-10-01“…On the contrary, they perceived that quality raw materials would be used to prepare printed foods (52.4%; <i>n</i> = 606). Most respondents believed that printed foods would be visually appealing and would find application in several food industry sectors. …”
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A novel web-based 24-h dietary recall tool in line with the Nova food processing classification: description and evaluation
Published 2023-10-01“…Results: No statistically significant differences were observed between the Nova24h and the reference tool mean contributions of unprocessed or minimally processed foods (52·3 % v. 52·6 %), processed culinary ingredients (11·6 % v. 11·9 %), processed foods (17·1 % v. 14·7 %) and ultra-processed foods (19·0 % v. 20·9 %). …”
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