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      Prevalence of preconception risk factors for adverse pregnancy outcome among women from tribal and non-tribal blocks in Nashik district, India: a cross-sectional study

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          Abstract

          Background

          Although critical, the preconception phase in women’s lives is comparatively ignored. The presence of some risk factors during this phase adversely affects the wellbeing of the woman and the pregnancy outcome. The study objectives were to measure the prevalence of various known risk factors for adverse pregnancy outcome in the preconception period of women and their comparison between blocks.

          Methods

          This was a community-based cross-sectional study in two tribal and two non-tribal blocks each in Nasik district, Maharashtra, India. The study included married women desiring to conceive within 1 year. Trained Accredited Social Health Activists (field level health worker) collected information from women using a validated interview schedule through house-to-house visits and obtained women’s anthropometric measurements in a standard manner. The study assessed the presence of 12 documented risk factors.

          Results

          The study enlisted 7875 women desiring pregnancy soon. The mean age of women was 23.19 (± 3.71) years, and 16% of them were adolescents. Women’s illiteracy was higher in tribal areas than non-tribal (p < 0.001). About two-thirds of women have at least one risk factor, and 40.0% have a single risk factor. The most common risk factor observed was no formal education (44.35%). The prevalence of selected risk factors was significantly higher among women from tribal areas. The mean BMI of women was 19.73 (± 3.51), and a higher proportion (40.5%) of women from tribal areas had BMI < 18.5. Despite being of high parity status (≥ 4), about 7.7% of women from the tribal area and 3% from non-tribal desired pregnancy. Tobacco and alcohol consumption was higher among tribal women. The majority of women consumed meals with family members or husbands. Protein and calorie intake of about 1.4% of women was less than 50% of the recommended daily allowance; however, most of them perceived to have abundant food.

          Conclusions

          Health risks, namely younger age, illiteracy, high parity, consumption of tobacco, low protein, and calorie intake, were quite prevalent, and the risks were significantly more among women from tribal areas. “Continuum of care” must comprise preconception care inclusive of Behavioral Change Communication, particularly for easily modifiable risk factors and specially for tribal women.

          Plain language summary

          Women’s health during the preconception phase although important, is an ignored period in her life cycle. Literature has shown that the presence of risk factors in women during the preconception phase is hazardous to the health of women and newborns. The present study is a cross-sectional study conducted in four blocks of Nasik district, Maharashtra, India, to measure risk factors for adverse pregnancy outcome among women and its comparison between blocks.

          We included married women desiring conception within 1 year. Accredited Social Health Activists asked questions using a validated interview schedule and recorded women’s anthropometric measures.

          Of the 7875 women, 16% were adolescents, and the mean age of women was 23.19 ± 3.71 years. About two-fifth of women had one risk factor, the commonest being no formal education. Overall mean BMI of women was 19.73 (± 3.51). The prevalence of risk factors was significantly higher among women from tribal areas. Despite having ≥ 4 parity a higher proportion of women from tribal areas desired to conceive. About 1.4% of women had protein and calorie intake below 50% recommended consumption.

          In conclusion, the prevalence of selected risk factors was significantly higher among tribal women. The study identifies the need for preconception care services.

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          Most cited references36

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          Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000.

          Information about the distribution of causes of and time trends for child mortality should be periodically updated. We report the latest estimates of causes of child mortality in 2010 with time trends since 2000. Updated total numbers of deaths in children aged 0-27 days and 1-59 months were applied to the corresponding country-specific distribution of deaths by cause. We did the following to derive the number of deaths in children aged 1-59 months: we used vital registration data for countries with an adequate vital registration system; we applied a multinomial logistic regression model to vital registration data for low-mortality countries without adequate vital registration; we used a similar multinomial logistic regression with verbal autopsy data for high-mortality countries; for India and China, we developed national models. We aggregated country results to generate regional and global estimates. Of 7·6 million deaths in children younger than 5 years in 2010, 64·0% (4·879 million) were attributable to infectious causes and 40·3% (3·072 million) occurred in neonates. Preterm birth complications (14·1%; 1·078 million, uncertainty range [UR] 0·916-1·325), intrapartum-related complications (9·4%; 0·717 million, 0·610-0·876), and sepsis or meningitis (5·2%; 0·393 million, 0·252-0·552) were the leading causes of neonatal death. In older children, pneumonia (14·1%; 1·071 million, 0·977-1·176), diarrhoea (9·9%; 0·751 million, 0·538-1·031), and malaria (7·4%; 0·564 million, 0·432-0·709) claimed the most lives. Despite tremendous efforts to identify relevant data, the causes of only 2·7% (0·205 million) of deaths in children younger than 5 years were medically certified in 2010. Between 2000 and 2010, the global burden of deaths in children younger than 5 years decreased by 2 million, of which pneumonia, measles, and diarrhoea contributed the most to the overall reduction (0·451 million [0·339-0·547], 0·363 million [0·283-0·419], and 0·359 million [0·215-0·476], respectively). However, only tetanus, measles, AIDS, and malaria (in Africa) decreased at an annual rate sufficient to attain the Millennium Development Goal 4. Child survival strategies should direct resources toward the leading causes of child mortality, with attention focusing on infectious and neonatal causes. More rapid decreases from 2010-15 will need accelerated reduction for the most common causes of death, notably pneumonia and preterm birth complications. Continued efforts to gather high-quality data and enhance estimation methods are essential for the improvement of future estimates. The Bill & Melinda Gates Foundation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health

            A woman who is healthy at the time of conception is more likely to have a successful pregnancy and a healthy child. We reviewed published evidence and present new data from high, low and middle income countries on the timing and importance of preconception health for subsequent maternal and child health. We describe the extent to which pregnancy is planned, and whether planning is linked to preconception health behaviours. Observational studies show strong links between health before pregnancy and maternal and child health outcomes, with consequences that can extend across generations, but awareness of these links is not widespread. Poor nutrition and obesity are rife among women of reproductive age, and differences between high and lower income countries have become less distinct, with typical diets falling far short of nutritional recommendations in both settings and especially among adolescents. Numerous studies show that micronutrient supplementation starting in pregnancy can correct important maternal nutrient deficiencies, but effects on child health outcomes are disappointing. Other interventions to improve diet during pregnancy have had little impact on maternal and newborn health outcomes. There have been comparatively few attempts at preconception diet and lifestyle intervention. Improvements in the measurement of pregnancy planning have quantified the degree of pregnancy planning and suggest that this is more common than previously recognised. Planning for pregnancy is associated with a mixed pattern of health behaviours before conception. We propose novel definitions of the preconception period relating to embryo development and to action at individual or population level. A sharper focus on intervention before conception is needed to improve maternal and child health and reduce the growing burden of non-communicable disease. Alongside continued efforts to reduce smoking, alcohol and obesity in the population, we call for heightened awareness of preconception health, particularly regarding diet and nutrition. Importantly health professionals should be alerted to ways of identifying women who are planning a pregnancy.
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              Recommendations to improve preconception health and health care--United States. A report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care.

              This report provides recommendations to improve both preconception health and care. The goal of these recommendations is to improve the health of women and couples, before conception of a first or subsequent pregnancy. Since the early 1990s, guidelines have recommended preconception care, and reviews of previous studies have assessed the evidence for interventions and documented the evidence for specific interventions. CDC has developed these recommendations based on a review of published research and the opinions of specialists from the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. The 10 recommendations in this report are based on preconception health care for the U.S. population and are aimed at achieving four goals to 1) improve the knowledge and attitudes and behaviors of men and women related to preconception health; 2) assure that all women of childbearing age in the United States receive preconception care services (i.e., evidence-based risk screening, health promotion, and interventions) that will enable them to enter pregnancy in optimal health; 3) reduce risks indicated by a previous adverse pregnancy outcome through interventions during the interconception period, which can prevent or minimize health problems for a mother and her future children; and 4) reduce the disparities in adverse pregnancy outcomes. The recommendations focus on changes in consumer knowledge, clinical practice, public health programs, health-care financing, and data and research activities. Each recommendation is accompanied by a series of specific action steps and, when implemented, can yield results within 2-5 years. Based on implementation of the recommendations, improvements in access to care, continuity of care, risk screening, appropriate delivery of interventions, and changes in health behaviors of men and women of childbearing age are expected to occur. The implementation of these recommendations will help achieve Healthy People 2010 objectives. The recommendations and action steps are a strategic plan that can be used by persons, communities, public health and clinical providers, and governments to improve the health of women, their children, and their families. Improving preconception health among the approximately 62 million women of childbearing age will require multistrategic, action-oriented initiatives.
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                Author and article information

                Contributors
                jayashreesg@rediffmail.com
                Journal
                Reprod Health
                Reprod Health
                Reproductive Health
                BioMed Central (London )
                1742-4755
                27 July 2022
                27 July 2022
                2022
                : 19
                : 166
                Affiliations
                [1 ]GRID grid.411681.b, ISNI 0000 0004 0503 0903, Department of Community Medicine, , Bharati Vidyapeeth Deemed University Medical College, ; Pune, 411043 India
                [2 ]GRID grid.464891.6, ISNI 0000 0004 0502 2663, State Family Welfare Bureau, Department of Public Health, , Government of Maharashtra, ; Pune, 411001 India
                [3 ]GRID grid.497599.f, ISNI 0000 0004 1756 3192, UNICEF, ; Maharashtra, Mumbai India
                Author information
                http://orcid.org/0000-0003-2088-677X
                Article
                1473
                10.1186/s12978-022-01473-z
                9327168
                65ba32f1-c40e-4459-8dc7-f4682f6ee8da
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 March 2021
                : 10 July 2022
                Funding
                Funded by: UNICEF through Government of Maharashtra
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Obstetrics & Gynecology
                married women desiring pregnancy,preconception risk,prevalence,tribal area,undernutrition,bmi

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