mHealth interventions targeting pregnancy intakes in low and lower-middle income countries: Systematic review.

Dietary intake during pregnancy plays a vital role in determining the health of both mother and baby. Maternal undernutrition affects a large proportion of women in low and lower middle income countries (LLMIC) likely influencing high maternal, infant, and child mortality in these countries. Mobile health (mHealth) interventions have been proposed as effective solutions to improve maternal and neonatal health. This paper reviews the literature to evaluate the effectiveness of mHealth interventions on improving dietary/nutrients intake of pregnant women in LLMIC. Eight electronic databases were searched from inception up to April 2018, including the MEDLINE, EMBASE, CINAHL, Cochrane, Web of Science, Scopus, Global Index Medicus, and Maternity and Infant Care. Using Covidence, two reviewers assessed articles for inclusion, assessed study quality and extracted data. Only studies published in English language were included. Data were summarised narratively. In total, 6,778 were identified of which four were included, with three randomised controlled trials and one prepost experimental study. Studies were conducted in India (n = 2), Indonesia (n = 1), and Kenya (n = 1). All articles evaluated the use of nutrient supplements; iron supplements (n = 1), vitamin supplements (composition not mentioned; n = 1), or calcium supplements (n = 1). This review suggests that mHealth interventions can be used to improve intake of micronutrient supplementation and nutritional status of pregnant women in LLMIC. Further studies are needed to address the limited evidence base related to mHealth nutrition interventions targeting dietary intakes of pregnant women in LLMIC.

Maternal diet during early childhood, but not pregnancy, predicts diet quality and fruit and vegetable acceptance in offspring.

Studies have identified prenatal flavour exposure as a determinant of taste preferences in infants; however, these studies have focused on relatively small samples and limited flavours. As many parents struggle with getting children to accept a variety of nutritious foods, a study of the factors influencing food acceptance is warranted. The objective of this study was to determine whether exposure to a wider variety of fruit and vegetables and overall higher diet quality in utero results in acceptance of a greater variety of these foods and better diet quality for offspring during childhood. This study is a secondary data analysis of pregnant women (n = 52) and their resulting offspring recruited for the Women and Their Children's Health study in NSW, Australia. Dietary intake of mothers and children was measured using food frequency questionnaires. Diet quality and vegetable and fruit variety were calculated using the Australian Recommended Food Score and the Australian Child and Adolescent Recommended Food Score. Associations between maternal and child diet quality and variety were assessed using Pearson's correlations and the total effect of in utero maternal pregnancy diet on childhood diet was decomposed into direct and indirect effect using mediation analysis. Maternal pregnancy and post-natal diet were both correlated with child diet for overall diet quality and fruit and vegetable variety (P < 0.001). Mediation analyses showed that the indirect effect of maternal pregnancy diet on child diet was mediated through maternal post-natal diet, particularly for fruit (P = 0.045) and vegetables (P = 0.055). Nutrition intervention should therefore be aimed at improving diet quality and variety in mothers with young children, in order to subsequently improve eating habits of offspring.

Factors Associated with Effective Nutrition Interventions for Pregnant Indigenous Women: A Systematic Review.

INTRODUCTION: Indigenous people continue to experience health disparities relative to non-Indigenous populations. Interventions to improve nutrition during pregnancy in these groups may improve health outcomes for mothers and their infants. The effectiveness of existing nutrition intervention programs has not been reviewed previously. OBJECTIVE: The objective was to identify interventions targeting improving nutrition-related outcomes for pregnant Indigenous women residing in Organisation for Economic Co-operation and Development countries, and to identify positive factors contributing to successful programs. METHODS: Thirteen electronic databases were searched up until October 2015. Key words identified studies intervening to improve nutrition-related outcomes for pregnant Indigenous women. Two reviewers assessed articles for inclusion and study quality and extracted data. Only studies published in English were included. Data were summarized narratively. RESULTS: Abstracts and titles were screened (n=2,566) and 315 full texts were reviewed for eligibility. This review included 27 articles from 20 intervention programs from Australia, Canada, and the United States. The most prevalent measurable outcomes were birth weight (n=9) and breastfeeding initiation/duration (n=11). Programs with statistically significant results for these outcomes employed the following nutrition activities: individual counseling/education (n=8); delivery by senior Indigenous woman (n=2), peer counselor (n=3), or other Indigenous health worker (n=4); community-wide interventions (n=2); media campaigns (n=2); delivery by non-Indigenous health professional (n=3); and home visits (n=3). CONCLUSIONS: Heterogeneity of included studies made it challenging to make firm recommendations regarding program success. Authors of included studies recommended community consultation be included when designing studies and working with communities at all stages of the research process. Individualized counseling/education can contribute to successful program outcomes, as can the use of Indigenous workers to deliver program content. Limitations of some studies included a lack of details on interventions and the use of nonrandom control groups. Future studies should include detailed descriptions of intervention components and include appropriate evaluation protocols.

Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women.

Image-based dietary records could lower participant burden associated with traditional prospective methods of dietary assessment. They have been used in children, adolescents and adults, but have not been evaluated in pregnant women. The current study evaluated relative validity of the DietBytes image-based dietary assessment method for assessing energy and nutrient intakes. Pregnant women collected image-based dietary records (via a smartphone application) of all food, drinks and supplements consumed over three non-consecutive days. Intakes from the image-based method were compared to intakes collected from three 24-h recalls, taken on random days; once per week, in the weeks following the image-based record. Data were analyzed using nutrient analysis software. Agreement between methods was ascertained using Pearson correlations and Bland-Altman plots. Twenty-five women (27 recruited, one withdrew, one incomplete), median age 29 years, 15 primiparas, eight Aboriginal Australians, completed image-based records for analysis. Significant correlations between the two methods were observed for energy, macronutrients and fiber (r = 0.58-0.84, all p < 0.05), and for micronutrients both including (r = 0.47-0.94, all p < 0.05) and excluding (r = 0.40-0.85, all p < 0.05) supplements in the analysis. Bland-Altman plots confirmed acceptable agreement with no systematic bias. The DietBytes method demonstrated acceptable relative validity for assessment of nutrient intakes of pregnant women.

A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation.

BACKGROUND: Dietitians ideally should provide personally tailored nutrition advice to pregnant women. Provision is hampered by a lack of appropriate tools for nutrition assessment and counselling in practice settings. Smartphone technology, through the use of image-based dietary records, can address limitations of traditional methods of recording dietary intake. Feedback on these records can then be provided by the dietitian via smartphone. Efficacy and validity of these methods requires examination. OBJECTIVE: The aims of the Australian Diet Bytes and Baby Bumps study, which used image-based dietary records and a purpose-built brief Selected Nutrient and Diet Quality (SNaQ) tool to provide tailored nutrition advice to pregnant women, were to assess relative validity of the SNaQ tool for analyzing dietary intake compared with nutrient analysis software, to describe the nutritional intake adequacy of pregnant participants, and to assess acceptability of dietary feedback via smartphone. METHODS: Eligible women used a smartphone app to record everything they consumed over 3 nonconsecutive days. Records consisted of an image of the food or drink item placed next to a fiducial marker, with a voice or text description, or both, providing additional detail. We used the SNaQ tool to analyze participants' intake of daily food group servings and selected key micronutrients for pregnancy relative to Australian guideline recommendations. A visual reference guide consisting of images of foods and drinks in standard serving sizes assisted the dietitian with quantification. Feedback on participants' diets was provided via 2 methods: (1) a short video summary sent to participants' smartphones, and (2) a follow-up telephone consultation with a dietitian. Agreement between dietary intake assessment using the SNaQ tool and nutrient analysis software was evaluated using Spearman rank correlation and Cohen kappa. RESULTS: We enrolled 27 women (median age 28.8 years, 8 Indigenous Australians, 15 primiparas), of whom 25 completed the image-based dietary record. Median intakes of grains, vegetables, fruit, meat, and dairy were below recommendations. Median (interquartile range) intake of energy-dense, nutrient-poor foods was 3.5 (2.4-3.9) servings/day and exceeded recommendations (0-2.5 servings/day). Positive correlations between the SNaQ tool and nutrient analysis software were observed for energy (ρ=.898, P<.001) and all selected micronutrients (iron, calcium, zinc, folate, and iodine, ρ range .510-.955, all P<.05), both with and without vitamin and mineral supplements included in the analysis. Cohen kappa showed moderate to substantial agreement for selected micronutrients when supplements were included (kappa range .488-.803, all P ≤.001) and for calcium, iodine, and zinc when excluded (kappa range .554-.632, all P<.001). A total of 17 women reported changing their diet as a result of the personalized nutrition advice. CONCLUSIONS: The SNaQ tool demonstrated acceptable validity for assessing adequacy of key pregnancy nutrient intakes and preliminary evidence of utility to support dietitians in providing women with personalized advice to optimize nutrition during pregnancy.