Objectives Pre-pregnancy diet has an important role in preparing for healthy generation. However, evidence on this issue has been scarce. A scoping review synthesising current evidence will support the demand to map ‘what has been researched’ on pre-pregnancy diet and maternal and child health.
Methods Systematic search was performed using PICOS (Population, Intervention, Comparison, Outcomes, and Study design) framework in electronic databases. Articles were screened for eligibility, summarized, and the quality was assessed using the National Institute of Health assessment tool. The review structure complies with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guide.
Results Forty-two articles were included after full-text screening. Twenty-five studies were in high-income countries (HICs), six in each upper-middle income, five in lower-middle income countries (LMICs), and one in low-income countries (LIC). Based on the regions: North America (n=16), Europe (n=5), South America (n=4), Australia (n=4), Asia (n=5), Middle East (n=2), and sub-Saharan Africa (n=1). The two-most observed diet-related exposures were dietary pattern (n=17) and dietary quality (n=12). The most assessed outcome was gestational diabetes mellitus (n=28) and fetal and newborn anthropometry (n=7). The average quality score±standard deviation was 70±18%.
Conclusions Research related to pre-pregnancy diet is still concentrated in HICs. The context of diet may vary; therefore, future research is encouraged in LMICs and LICs context, and Mediterranean, South-East Asia, Pacific, and African regions. Some maternal and child nutrition-related morbidity, such as anemia and micronutrient deficiencies, have not been discussed. Research on these aspects will benefit to fill in the gaps related to pre-pregnancy diet and maternal and child health.
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Ahmedabad declaration: A framework to combat growing epidemic of young-onset type 2 diabetes in Asia Rakesh.M. Parikh, Banshi Saboo, Anoop Misra, Abdul Basit, S.R. Aravind, Bishwajit Bhowmik, Peter Schwarz, Ketan Dhatariya, Kamlesh Khunti, Shashank Joshi, Sunil Gupta, Amit Gupta, Manoj Chawla, Sanjeev Phatak, Sanjay Kalra, Azad Khan, Viswanathan Mohan, A Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2025; 19(2): 103205. CrossRef
Maternal pre-pregnancy diet and prenatal depression: the mediating role of pre-pregnancy weight status and prenatal inflammation Elnaz Vaghef-Mehrabani, Rhonda C. Bell, Catherine J. Field, Megan Jarman, Jenna L. Evanchuk, Nicole Letourneau, Gerald F. Giesbrecht British Journal of Nutrition.2024; 132(2): 115. CrossRef
Maternal Dietary Strategies for Improving Offspring Cardiovascular–Kidney–Metabolic Health: A Scoping Review You-Lin Tain, Chien-Ning Hsu International Journal of Molecular Sciences.2024; 25(18): 9788. CrossRef
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J Prev Med Public Health. 2019;52(1):14-20. Published online January 23, 2019
One of the primary goals of epidemiology is to quantify various aspects of a population’s health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.
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Korean summary
본 논문에서는 질병과 사망, 출생 관련 지표들의 개념과 종류를 설명하고, 특히 연구자들이 흔히 혼동하여 사용하는 지표들에 대한 적절한 정의를 제시하였다. 또한 지표들의 예시를 부록으로 수록하여 독자들이 지표의 개념을 보다 쉽게 습득하도록 돕고자 하였다.
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Objectives The current study presents a new conceptual framework for physician-induced demand that comprises several influential components and their interactions.
Methods This framework was developed on the basis of the conceptual model proposed by Labelle. To identify the components that influenced induced demand and their interactions, a scoping review was conducted (from January 1980 to January 2017). Additionally, an expert panel was formed to formulate and expand the framework.
Results The developed framework comprises 2 main sets of components. First, the supply side includes 9 components: physicians’ incentive for pecuniary profit or meeting their target income, physicians’ current income, the physician/population ratio, service price (tariff), payment method, consultation time, type of employment of physicians, observable characteristics of the physician, and type and size of the hospital. Second, the demand side includes 3 components: patients’ observable characteristics, patients’ non-clinical characteristics, and insurance coverage.
Conclusions A conceptual framework that can clearly describe interactions between the components that influence induced demand is a critical step in providing a scientific basis for understanding physicians’ behavior, particularly in the field of health economics.
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OBJECTIVES Infectious diseases are known to be affected by climate change. We investigated if the infectious diseases were related to meteorological factors in Korea. METHODS: Scrub typhus, hemorrhagic fever with renal syndrome (HFRS), leptospirosis, malaria and Vibrio vulnificus sepsis among the National Notifiable Infectious Diseases were selected as the climate change-related infectious diseases. Temperature, relative humidity and precipitation were used as meteorological factors. The study period was from 2001 through 2008. We examined the seasonality of the diseases and those correlations with meteorological factors. We also analyzed the correlations between the incidences of the diseases during the outbreak periods and monthly meteorological factors in the hyper-endemic regions. RESULTS: All of the investigated diseases showed strong seasonality; malaria and V. vulnificus sepsis were prevalent in summer and scrub typhus, HFRS and leptospirosis were prevalent in the autumn. There were significant correlations between the monthly numbers of cases and all the meteorological factors for malaria and V. vulnificus sepsis, but there were no correlation for the other diseases. However, the incidence of scrub typhus in hyper-endemic region during the outbreak period was positively correlated with temperature and humidity during the summer. The incidences of HFRS and leptospirosis had positive correlations with precipitation in November and temperature and humidity in February, respectively. V. vulnificus sepsis showed positive correlations with precipitation in April/May/July. CONCLUSIONS: In Korea, the incidences of the infectious diseases were correlated with meteorological factors, and this implies that the incidences could be influenced by climate change.
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Recently much attention has been paid to the effect of neighborhood characteristics on the health of individuals, independent of individual demographic and/or socioeconomic characteristics. Although many empirical studies of a kind, mostly based on Western society, have appeared on various international journals, few studies have shown empirical evidence of neighborhood characteristics as an independent and significant risk factor of ill health in Korea. This paper discusses possible reasons that neighborhood seems to be neither significant nor substantial regarding its impact on the health of Koreans. Addressing the uniqueness of Korean society regarding the concept of neighborhood, attributes of neighborhoods, and methodological challenges, authors suggest that more sophisticated conceptual and methodological approach, specific to Korean society, should enable to reveal the effect of neighborhood characteristics on individual health in Korea.