Increased consumption of fruits and vegetables has been associated with reduced risks of many chronic diseases, such as obesity, cardiovascular diseases, type II diabetes, osteoporosis and certain cancers, as well as all-cause mortality. These beneficial effects are attributed to their high contents of fibre, vitamins, minerals and phytochemicals (mainly antioxidants) together with negligible amounts of fat. The health benefits of consuming fruits and vegetables have been extensively demonstrated. Further research is needed to design effective interventions and to determine their efficacy over the long term. In conclusion, evidence shows the effectiveness of mHealth application interventions to increase fruit and vegetable consumption.

Targeting stratified populations and using long-lasting interventions were identified as key aspects that could influence the effectiveness of these interventions. The interventions described in six of these studies were effective in increasing fruit and/or vegetable intake. Eight studies were included in the final assessment. PubMed and Web of Science were used to conduct this systematized review, and the inclusion criteria were: randomized controlled trials evaluating mobile phone applications focused on increasing fruit and/or vegetable intake as a primary or secondary outcome performed from 2008 to 2018. This review aimed to assess the potential of self-monitoring mobile phone health (mHealth) applications to increase fruit and vegetable intake. The use of mobile phone applications for health purposes has greatly increased these applications guide users in real time through various phases of behavioural change. Therefore, analysis of Indian foods will be continued to enlarge the database according to need.A wide range of chronic diseases could be prevented through healthy lifestyle choices, such as consuming five portions of fruits and vegetables daily, although the majority of the adult population does not meet this recommendation. Food composition tables are never complete due to the constant introduction of new foods into food supply, discovery of food components that are associated with health and disease, and continuous improvements in analytical methods and techniques. Keeping food composition data up-to-date is a continuous challenge and ‘Indian Food Composition Tables, 2017’ does not contain a exhaustive list of all foods consumed in India. For every food sampled under this design, composite nutrient mean are determined for each region and the mean of six regions represents the country data, wherein standard deviation provides estimates of the content variability. Region specific foods were analyzed for 6 regions of the country to enable region specific nutritional and epidemiological data interpretation. About 160 discrete food constituents including bioactive compounds were analysed for 528 foods. The latest Indian food composition database funded by the ICMR covers all the key foods sampled from the entire country drawn from statistically valid sampling method. Therefore, all foods analyzed were selected using the key foods principle constructing the IFCT 2017. The method combines food consumption data with its nutrient composition, and ranking the foods by applying a scoring system to identify the key foods that contribute significantly to the diet in terms of their nutrients. One method to set priorities is the ‘key foods approach’ which is defined as those foods that contribute upto 75% of the nutrients intake by the population. Analyzing all the foods that are consumed in the country is not be feasible due to the prohibitive cost involved and thus it is essential to prioritize foods for compositional analysis. Indian cuisine varies widely across the country according to the region, culture and tradition, characterized by the use of different spices, vegetables, grains, fruits and a variety of animal source foods.

Cronometer food database