Current evidence indicates that maternal diets before and during pregnancy could influence rates of preterm birth, low birth weight (LBW) and small for gestational age (SGA) births. However, findings have been inconsistent. This review summarised evidence concerning the effects of maternal diets before and during pregnancy on preterm birth, LBW and SGA. Systematic electronic database searches were carried out using PubMed, Embase, Scopus and Cochrane library using the preferred reporting items for systematic reviews and meta-analyses guidelines. The review included forty eligible articles, comprising mostly of prospective cohort studies, with five randomised controlled trials. The dietary patterns during pregnancy associated with a lower risk of preterm birth were commonly characterised by high consumption of vegetables, fruits, whole grains, fish and dairy products. Those associated with a lower risk of SGA also had similar characteristics, including high consumption of vegetables, fruits, legumes, seafood/fish and milk products. Results from a limited number of studies suggested there was a beneficial effect on the risk of preterm birth of pre-pregnancy diet quality characterised by a high intake of fruits and proteins and less intake of added sugars, saturated fats and fast foods. The evidence was mixed for the relationship between maternal dietary patterns during pregnancy and LBW. These findings indicate that better maternal diet quality during pregnancy, characterised by a high intake of vegetables, fruits, whole grains, dairy products and protein diets, may have a synergistic effect on reducing the risk of preterm birth and SGA.

Background The pandemic of Coronavirus Disease 2019 (COVID-19) is a timely reminder of the nature and impact of Public Health Emergencies of International Concern. As of 12 January 2022, there were over 314 million cases and over 5.5 million deaths notified since the start of the pandemic. The COVID-19 pandemic takes variable shapes and forms, in terms of cases and deaths, in different regions and countries of the world. The objective of this study is to analyse the variable expression of COVID-19 pandemic so that lessons can be learned towards an effective public health emergency response. Methods We conducted a mixed-methods study to understand the heterogeneity of cases and deaths due to the COVID-19 pandemic. Correlation analysis and scatter plot were employed for the quantitative data. We used Spearman’s correlation analysis to determine relationship strength between cases and deaths and socio-economic and health systems. We organized qualitative information from the literature and conducted a thematic analysis to recognize patterns of cases and deaths and explain the findings from the quantitative data. Results We have found that regions and countries with high human development index have higher cases and deaths per million population due to COVID-19. This is due to international connectedness and mobility of their population related to trade and tourism, and their vulnerability related to older populations and higher rates of non-communicable diseases. We have also identified that the burden of the pandemic is also variable among high- and middle-income countries due to differences in the governance of the pandemic, fragmentation of health systems, and socio-economic inequities. Conclusion The COVID-19 pandemic demonstrates that every country remains vulnerable to public health emergencies. The aspiration towards a healthier and safer society requires that countries develop and implement a coherent and context-specific national strategy, improve governance of public health emergencies, build the capacity of their (public) health systems, minimize fragmentation, and tackle upstream structural issues, including socio-economic inequities. This is possible through a primary health care approach, which ensures provision of universal and equitable promotive, preventive and curative services, through whole-of-government and whole-of-society approaches.

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Background Findings from previous studies on associations between prepregnancy dietary patterns and preterm birth and low birth weight (LBW) are limited and inconsistent. Objectives To examine the association between prepregnancy dietary patterns and the risk of preterm birth and LBW. Methods This study included 3422 and 3508 singleton live births from the Australian Longitudinal Study on Women's Health (ALSWH) for the analyses of preterm birth and LBW, respectively. We included women who were nulliparous and nonpregnant at baseline surveys. We used factor analyses and the Healthy Eating Index-2015 (HEI-2015) score to derive maternal dietary patterns. Four dietary patterns were identified with factor analyses: meats and high-fats; prudent diets; sugar, refined grains, and processed foods; and traditional vegetables. Preterm birth and LBW were assessed using maternal reports from ALSWH data between 2003 and 2015. Multivariable logistic regression analyses were used. Results Greater adherence to the traditional vegetables pattern before pregnancy was associated with a lower risk of preterm birth and spontaneous preterm birth after adjustments for lifestyle factors and pregnancy complications, highest compared with lowest tertile (adjusted OR = 0.72, 95% CI: 0.53, 0.99) and (RR ratio = 0.62, 95% CI: 0.39, 1.00), respectively. However, these associations were attenuated by the prepregnancy BMI. No significant associations were observed between prepregnancy dietary patterns and LBW. Conclusion This study suggests that better adherence to the traditional vegetables pattern before pregnancy is associated with a lower risk of preterm birth, particularly spontaneous preterm birth among nulliparous women. This finding warrants further examination.

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