Kombucha: Challenges for Health and Mental Health.

BACKGROUND: Increasing research into probiotics is showing potential benefits for health in general and mental health in particular. Kombucha is a recent beverage and can be considered a probiotic drink, but little is known about its effects on physical and mental health. This product is experiencing growth in the market; however, there are no scientific results to support its potential for physical and mental health. AIM: This review article aims to draw attention to this issue and to highlight the lack of studies in this area. KEY FINDINGS AND CONCLUSIONS: The lack of legislation for the correct marketing of this product may also constrain clinical studies. However, clinical studies are of utmost importance for an in-depth understanding of the effects of this product on the human body. More research is needed, not only to better understand the impact of Kombucha on the human body, but also to ensure the application of regulatory guidelines for its production and marketing and enable its safe and effective consumption.

Nutritional intake and food sources in an adult urban Kenyan population.

Urbanisation is hastening the transition from traditional food habits to less healthy diets, which are becoming more common among Kenyans. No up-to-date studies on usual dietary intake and the main food sources of adult Kenyans are available. The aim of the present study was to identify the main food sources of nutrients in the diet of urban adult Kenyans and explore potential associations with demographic variables including age, sex, level of education, occupation and body mass index. The study adopted a cross-sectional design. The dietary intake of 486 adult Kenyans from Nairobi was assessed using a validated, culture-sensitive, semi-quantitative food frequency questionnaire. Binary logistic regression models were used to evaluate associations between food sources and demographic variables. Macronutrient intakes as a proportion of total energy intake (TEI) were within international dietary guidelines. Cereals and grain products (34.0%), sugar, syrups, sweets and snacks (9.8%), fruits (9.7%) and meat and eggs (8.8%) were the major contributors to TEI. Cereals and grain products contributed 42.5% to carbohydrates, followed by fruits (12.4%) and sugar, syrups, sweets and snacks (10.6%). The most important sources of protein and total fat were cereals and grain products (23.3% and 19.7%, respectively) and meat and eggs (22.0% and 18.7%, respectively). Sex, age and level of education were associated with the choice of food groups. Although macronutrient intakes were within guidelines, the Kenyan diet was revealed to be high in sugars, salt and fibre, with differences in food sources according to demographic variables. These results can act as an incentive to national authorities to implement nutritional strategies aiming to raise awareness of healthier dietary patterns among Kenyans.

A culture-sensitive semi-quantitative FFQ for use among the adult population in Nairobi, Kenya: development, validity and reproducibility.

OBJECTIVE: To develop a semi-quantitative FFQ and to evaluate its validity and reproducibility for the assessment of total dietary intake of Kenyan urban adult population, given its non-existence in Kenya. DESIGN: The current study adopted a cross-sectional design. A culture-sensitive semi-quantitative FFQ was developed and its validity was tested relative to three non-consecutive 24-h recalls (24hR). Reproducibility was tested by the test-retest method, with a 3-week interval. Spearman's correlation coefficients and intra-class correlation coefficients were calculated for several macro- and micronutrients. Cross-classification into quartiles and Bland and Altman plots were analysed. SETTING: Nairobi county (Dagoreti South and Starehe constituencies). PARTICIPANTS: A convenient sample was recruited in three different clusters in Nairobi. RESULTS: A culture-sensitive 123-food-item semi-quantitative FFQ showed higher nutrient intakes compared with the 24hR (total energy median 12543·632 v. 8501·888 kJ, P < 0·001). Energy-adjusted and deattenuated Spearman's correlations for macronutrients ranged between 0·21 (total fat) and 0·47 (protein). The agreement in the same quartile varied from 28 % (protein) to 41 % (carbohydrates). Including adjacent quartiles, the range increased: 76 % (protein and fat) to 81 % (carbohydrates). The extreme disagreement was low. The first FFQ application resulted in higher mean values for all nutrients compared with the second FFQ (total energy median 12459·952 v. 10485·104 kJ, P < 0·001). Energy-adjusted correlations for macronutrients ranged from 0·28 (carbohydrates) to 0·61 (protein). Intra-class correlation coefficients for macronutrients were moderate, between 0·6 and 0·7. CONCLUSIONS: The developed semi-quantitative FFQ was shown to be a valid and reproducible tool for ranking urban adult Kenyans according to their dietary intake.

How dietary intake has been assessed in African countries? A systematic review.

BACKGROUND: Dietary patterns are often considered as one of the main causes of non-communicable diseases worldwide. It is of utmost importance to study dietary habits in developing countries since this work is scarce. OBJECTIVE: To summarize the most recent research conducted in this field in African countries, namely the most used methodologies and tools. METHODS: A systematic review was conducted on MEDLINE®/PubMed, aiming to identify scientific publications focused on studies of dietary intake of different African populations, in a ten-year period. Papers not written in English/Portuguese/Spanish, studies developed among African people but not developed in African countries, studies aiming to assess a particular nutrient/specific food/food toxin and studies that assessed dietary intake among children were excluded. FINDINGS: Out of 99 included studies, the 24-hour recall and the food-frequency questionnaire were the most used dietary intake assessment tools, used to assess diet at an individual level. It was also observed that often country-unspecific food composition databases are used, and the methodologies employed are poorly validated and standardized. CONCLUSIONS: There is an emergent need to improve the existing food databases by updating food data and to develop suitable country-specific databases for those that do not have their own food composition table.