This document provides a table of contents for a report on the National Children's Food Survey. It outlines 6 chapters that will analyze data on food consumption, nutrient intake, anthropometric measurements, and eating occasions among Irish children ages 5-12. Each chapter includes numerous tables presenting statistics on variables like food and nutrient intake by age, sex, geography, and socioeconomic status. The document provides an overview of the extensive data and analyses that will be presented in the report.
This document provides a table of contents for a report on a National Teens' Food Survey. The table of contents lists 6 chapters, with the first chapter providing background information and methodology. Chapter 2 discusses sampling and census data comparing survey respondents to census data. Chapter 3 presents food consumption data and Chapters 4 provides information on nutrient intakes. Chapter 5 presents anthropometric data on survey participants and Chapter 6 discusses body size satisfaction and weight control practices. Each chapter includes numerous tables displaying results.
This document provides an overview of dietary supplements. It defines a dietary supplement and identifies types as well as prevalence of use. It discusses the history of supplements and current US government regulations. Dietary supplements are a special category under foods, not drugs. Multivitamins are one of the most commonly used supplements. The document also discusses labeling policies, guidelines, concerns and FDA-approved claims for supplements.
JAMA Network: Pregnant women may not be getting recommended nutrientsΔρ. Γιώργος K. Κασάπης
This study analyzed dietary intake data from 1003 pregnant women in the United States to evaluate nutrient adequacy and excess based on Dietary Reference Intake guidelines. The results showed that 10% or more of pregnant women had intakes below recommendations for several key vitamins and minerals from foods alone, even with dietary supplement use. Nearly all pregnant women exceeded sodium recommendations, and many were at risk of excessive intakes of folic acid and iron based on total usual intake from foods and supplements. The findings suggest improved dietary guidance is needed to help pregnant women meet but not exceed nutrient recommendations.
POSHAN District Nutrition Profiles_Guide to DNPsPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that this guide uses the example of Bihar. POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
2 the dental hygienists guide tonutritional carelicservernoida
This document provides a summary of the 5th edition of "The Dental Hygienist's Guide to Nutritional Care" textbook. It lists the authors and their credentials and experience in nutrition and dental fields. It then provides a table of contents that outlines the organization of the textbook into three parts that cover basic nutrition concepts, application of nutrition principles, and nutritional aspects of oral health. Reference tables are also included that provide dietary reference intake values and recommendations for energy, total water, macronutrients, and fatty acids for different life stage groups.
This document provides an acknowledgements and contents section for the Kingdom of Tonga NCD Risk Factors STEPS Report from 2014. It acknowledges the many individuals and organizations that contributed to compiling the report. These include staff from the Ministry of Health of Tonga, the World Health Organization regional and country offices, as well as statistical and administrative support. The contents section provides an overview of the report's structure, which includes an executive summary, introduction, methodology, results, comparisons with a previous 2004 STEPS survey, discussion and conclusions, and recommendations. The report examines risk factors for noncommunicable diseases in Tonga through the WHO STEPwise approach, analyzing data on tobacco use, alcohol consumption, diet, physical activity, obesity, blood
This document provides an acknowledgements and contents section for the Kingdom of Tonga NCD Risk Factors STEPS Report from 2014. It acknowledges the many individuals and organizations that contributed to compiling the report. These include staff from the Ministry of Health of Tonga, the World Health Organization regional and country offices, as well as statistical and administrative support. The contents section provides an overview of the report's structure, which includes an executive summary, introduction, methodology, results, comparisons with a previous 2004 STEPS survey, discussion and conclusions, and recommendations. The report examines risk factors for noncommunicable diseases in Tonga through the WHO STEPwise approach, analyzing data on tobacco use, alcohol consumption, diet, physical activity, obesity, blood
1) The document explores the relationship between energy balance and weight status in adolescents using data from the CDC's Youth Risk Behavior Survey.
2) An energy balance composite score was created from survey items related to energy intake (food and drink) and energy expenditure (physical activity and sedentary behavior).
3) Results found the energy balance composite and energy expenditure scores varied significantly based on weight category, with healthier weight adolescents having lower energy intake, higher energy expenditure, and lower composite scores.
4) Racial/ethnic differences were also observed in energy balance scores, with weight category more strongly associated with scores across ethnic groups.
This document provides a table of contents for a report on a National Teens' Food Survey. The table of contents lists 6 chapters, with the first chapter providing background information and methodology. Chapter 2 discusses sampling and census data comparing survey respondents to census data. Chapter 3 presents food consumption data and Chapters 4 provides information on nutrient intakes. Chapter 5 presents anthropometric data on survey participants and Chapter 6 discusses body size satisfaction and weight control practices. Each chapter includes numerous tables displaying results.
This document provides an overview of dietary supplements. It defines a dietary supplement and identifies types as well as prevalence of use. It discusses the history of supplements and current US government regulations. Dietary supplements are a special category under foods, not drugs. Multivitamins are one of the most commonly used supplements. The document also discusses labeling policies, guidelines, concerns and FDA-approved claims for supplements.
JAMA Network: Pregnant women may not be getting recommended nutrientsΔρ. Γιώργος K. Κασάπης
This study analyzed dietary intake data from 1003 pregnant women in the United States to evaluate nutrient adequacy and excess based on Dietary Reference Intake guidelines. The results showed that 10% or more of pregnant women had intakes below recommendations for several key vitamins and minerals from foods alone, even with dietary supplement use. Nearly all pregnant women exceeded sodium recommendations, and many were at risk of excessive intakes of folic acid and iron based on total usual intake from foods and supplements. The findings suggest improved dietary guidance is needed to help pregnant women meet but not exceed nutrient recommendations.
POSHAN District Nutrition Profiles_Guide to DNPsPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that this guide uses the example of Bihar. POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
2 the dental hygienists guide tonutritional carelicservernoida
This document provides a summary of the 5th edition of "The Dental Hygienist's Guide to Nutritional Care" textbook. It lists the authors and their credentials and experience in nutrition and dental fields. It then provides a table of contents that outlines the organization of the textbook into three parts that cover basic nutrition concepts, application of nutrition principles, and nutritional aspects of oral health. Reference tables are also included that provide dietary reference intake values and recommendations for energy, total water, macronutrients, and fatty acids for different life stage groups.
This document provides an acknowledgements and contents section for the Kingdom of Tonga NCD Risk Factors STEPS Report from 2014. It acknowledges the many individuals and organizations that contributed to compiling the report. These include staff from the Ministry of Health of Tonga, the World Health Organization regional and country offices, as well as statistical and administrative support. The contents section provides an overview of the report's structure, which includes an executive summary, introduction, methodology, results, comparisons with a previous 2004 STEPS survey, discussion and conclusions, and recommendations. The report examines risk factors for noncommunicable diseases in Tonga through the WHO STEPwise approach, analyzing data on tobacco use, alcohol consumption, diet, physical activity, obesity, blood
This document provides an acknowledgements and contents section for the Kingdom of Tonga NCD Risk Factors STEPS Report from 2014. It acknowledges the many individuals and organizations that contributed to compiling the report. These include staff from the Ministry of Health of Tonga, the World Health Organization regional and country offices, as well as statistical and administrative support. The contents section provides an overview of the report's structure, which includes an executive summary, introduction, methodology, results, comparisons with a previous 2004 STEPS survey, discussion and conclusions, and recommendations. The report examines risk factors for noncommunicable diseases in Tonga through the WHO STEPwise approach, analyzing data on tobacco use, alcohol consumption, diet, physical activity, obesity, blood
1) The document explores the relationship between energy balance and weight status in adolescents using data from the CDC's Youth Risk Behavior Survey.
2) An energy balance composite score was created from survey items related to energy intake (food and drink) and energy expenditure (physical activity and sedentary behavior).
3) Results found the energy balance composite and energy expenditure scores varied significantly based on weight category, with healthier weight adolescents having lower energy intake, higher energy expenditure, and lower composite scores.
4) Racial/ethnic differences were also observed in energy balance scores, with weight category more strongly associated with scores across ethnic groups.
POSHAN District Nutrition Profile_Sundergarh_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gajapati_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
1) The study examined the impact of orange-fleshed sweetpotato (OFSP) adoption on dietary quality among women and children in Western Kenya.
2) The study found that households growing OFSP had significantly higher diet diversity scores (15-18% higher) and vitamin A intake (10-20% higher) for women and children compared to non-adopting households.
3) Regression analysis confirmed that both OFSP adoption and greater adoption intensity positively impacted women and children's dietary diversity and vitamin A consumption. Adoption intensity had a larger effect than simple adoption.
This document discusses how to improve nutrition by addressing micronutrient inadequacies through partnerships between science and agriculture. It introduces a calculator called CIMI that can assess micronutrient intake and deficiencies in populations using dietary data. CIMI analyzes intake of key nutrients and classifies bioavailability, identifying gaps. It presents results in tables and diagrams. Validation shows CIMI provides a rough estimate of micronutrient gaps. While fortification or biofortification can address isolated deficiencies, the focus should be improving whole diets to ensure adequate intake of all essential nutrients.
Exploring dietary diversity, nutritional status of adolescents among farm hou...Olutosin Ademola Otekunrin
Purpose:
This study explored dietary diversity and nutritional status of adolescents among rural farm households in Southwestern Nigeria. It analyses if higher commercialization levels of farm households translate to better nutrition.
Design/methodology/approach: The study was conducted in Ogun and Oyo States of Southwestern Nigeria, utilizing primary data from 352 farm households with a total of 160 adolescent members. The individual version of dietary diversity score (DDS) of nine (9) food groups was used to calculate adolescent DDS over a 24-h recall period, World Health Organization (WHO) AnthroPlus software was used in analyzing adolescents’ anthropometric data (height-for-age z-score and BMI-for-age z-score) while household crop commercialization index (CCI) was estimated for each farm household. Separate logit models were used to examine the drivers of adolescents’ dietary diversity and malnutrition.
Findings: The study findings indicated that 100% of the adolescents consumed starchy staples while 0%, 3.1% and 12.5% consumed organ meat, milk/milk poducts, and eggs respectively. Results revealed that 74.1% and 21.2% of boys were stunted and thin while the prevalence in adolescent girls was 50.7% and 9.3% respectively. Prevalence of stunting was found to be very high (60-83%) in all the four CCI levels’ households indicating that belonging to highly commercialized households (CCI 3-4) may not necessarily translate to better nutrition of adolescent members. Food expenditure (p< 0.01) and access to piped water (p< 0.01) negatively influenced adolescents’ stunting mainly due to lower expediture on food items and lower percent of household having access to piped water respectively while education (p< 0.01) had positive effect on adolescents’ dietary diversity.
Originality/value: Previous studies have contributed to the body of knowledge concerning the link between agricultural commercialization and nutrition using under-five children of the households. However, this is the first study that investigated the influence of CCI on DDS and nutritional status of adolescent members of farm households in Nigeria. Our study fills this existing knowledge gap in investigating adolescents’ dietary diversity and malnutrition among smallholder farm households.
National Diet and Nutrition Survey: UK 2008 - 2012 - Executive Summary New Food Innovation Ltd
"The NDNS provides the only source of high quality nationally representative data on the types and quantities of foods consumed by individuals, from which estimates of nutrient intake for the population are derived.iv Results are used by Government to develop policy and monitor progress on diet and nutrition objectives of UK health departments, for example those set out in the Healthy Lives, Healthy People white paper in England.v The food consumption data are also used by FSA to assess exposure to chemicals in food, as part of the risk assessment and communication process in response to a food emergency or to inform negotiations on setting regulatory limits for contaminants."
Exploring dietary diversity, nutritional status of adolescents amongfarmhouse...Olutosin Ademola Otekunrin
Purpose –This study aims to explore dietary diversity (DD) and nutritional status of adolescents among rural farm households in Southwestern Nigeria. It analyses whether higher commercialization levels of farm households translate to better nutrition. Design/methodology/approach –This study was conducted in Ogun and Oyo States of Southwestern Nigeria, using primary data from352 farm households with a total of 160 adolescent members. The individual version of dietary diversity score (DDS) of nine food groups was used to calculate adolescent DDS over a 24-h recall period. World Health Organization AnthroPlus software was used in analyzing adolescents’ anthropometric data (height-for-age z-score and body mass index-for-age z-score) while household crop commercialization index (CCI) was estimated for each farm household. Separate logit models were used to examine thedriversof adolescents’ DDandmalnutrition. Findings –Thestudyfindings indicated that 100% of the adolescents consumed starchy staples while 0%, 3.1% and 12.5% consumed organ meat, milk/milk products and eggs, respectively. Results revealed that 74.1%and21.2%ofboyswerestuntedandthinwhiletheprevalenceinadolescent girls was 50.7%and9.3%, respectively. Prevalence of stunting was found to be very high (60%–83%) in all the four CCI levels’ households indicating that belonging to highly commercialized households (CCI 3–4) may not necessarily translate to better nutrition of adolescent members. Food expenditure (p < 0.01) and access to piped water (p <0.01) negatively influenced adolescents’ stunting mainly because of lower expenditure on food items and lower percent of household having access to piped water, respectively, while education (p < 0.01) had positive effects on adolescents’ DD. Originality/value –Previous studies have contributed to the body of knowledge concerning the link between agricultural commercialization and nutrition using under-five children of the households. However, to the best of the authors’ knowledge, this is the first study that investigated the influence of CCI on DDSandnutritional status of adolescent members of farm households in Nigeria. This study fills this existing knowledge gap in investigating adolescents’ DD and malnutrition among smallholder farm households.
Yan Bai
POLICY SEMINAR
Are healthy diets affordable? Using new data on retail prices and diet costs to guide agricultural and food policy
Co-organized by IFPRI, Tufts University, the World Bank, and Food and Agriculture Organization (FAO)
JUL 15, 2022 - 10:00 TO 11:30AM EDT
1) Growing orange-fleshed sweetpotato (OFSP) was found to improve dietary quality and vitamin A intake for women and children in Western Kenya. OFSP adoption was associated with 15-18% higher diet diversity scores and 10-20% higher vitamin A intake compared to non-adoption.
2) Instrumental variable regression models found that both OFSP adoption and greater adoption intensity had a statistically significant positive impact on women and children's dietary diversity and vitamin A intake. Adoption intensity showed an even higher impact on diet quality.
3) Validation tests confirmed the models were correctly specified and the relationships between OFSP adoption and nutrition outcomes were endogenous, supporting the use of instrumental variables regression.
Dietary Intake and Nutritional Status of the Elderly in Osun State (2)iosrjce
The study compared the dietary intake and nutritional status of the elderly attending geriatric day
care centres and those who did not in Ile-Ife and Imesi-Ile both in Ife-Ijesasenatorial district of Osun State. It
was aimed at examining the relationships between income, acute diseases and food intake on dietary intake and
nutritional status of the elderly people. A total of four hundred and eighteen elderly respondents were recruited
for the study through a snow balling sampling technique. One hundred and thirty two elderly attending geriatric
day care centres were recruited as study group and 318 who do not attend any of the centres were recruited as
control group. Data was collected by using a twenty-item questionnaire adapted from Nestle Mini Nutritional
Assessment (MNA) scale.
Findings revealed that more (9.1%) of the respondents in the study group were undernourished, and 25.9% of
the respondents in the same group were overweight. There was no significant difference in the nutritional status
of respondents from both groups (X2=2.25, p= >0.05). This study concluded that attendance of geriatric day
care centres and income conferred no added benefit on the nutritional status and dietary pattern of the elderly.
This document provides an overview of multi-vitamin/mineral (MVM) supplements. It defines MVM supplements and discusses their history. Americans have been taking MVM supplements since the 1940s when the first products became available. The document reviews nutrient recommendations and concerns about intakes based on current diets. It also discusses labeling changes and the types of MVM supplements available. Key points covered include common nutrients of concern, optimal intake recommendations, concerns about excess intake from supplements and fortified foods, and ensuring MVMs address nutrient deficiencies.
Analysis of nutritional status among high school-going adolescent students in...BRNSSPublicationHubI
This study analyzed the nutritional status of 150 adolescent students aged 12-19 years attending high schools in Gadag City, Karnataka, India. The study found that private school students had a higher rate of overweight students (7.6% higher) compared to government school students, who had a higher rate of underweight students (6.4% higher). It also found that government school students had a slightly higher average weight. A major finding was that overweight students were more prevalent in private schools, which the study attributed to private school students engaging in less physical activity and consuming more junk food. In conclusion, government school students were more likely to be underweight, so their nutritional status should be specifically addressed through health education and promotion
These PowerPoint slides present key data and information on child diet in clear, easy to understand charts and graphics. They have been produced by the Risk Factors Intelligence Team and can be used freely with acknowledgement to ‘Public Health England’.
Study On Nutritional Status Of 5-10 Years Childrens in Magway ,Phoe ThantZin...Ye Thein
This document analyzed data from a study on the nutritional status of children ages 5-10 years old and the knowledge and practices of their mothers in rural Magway Region, Myanmar. Several key findings are presented in tables:
- Over 70% of mothers had low or median knowledge levels about nutrition.
- The prevalence of malnutrition was 7.7% in children under 1 year old, 6.7% in children 1-3 years old, and 6.2% in children under 3 years old.
- Relationships were found between the nutritional status of children and factors like the age, education level, income, and occupation of the mothers. Children of mothers with higher education and income levels generally had lower
Exploring dietary diversity, nutritional status of adolescents among farm hou...Olutosin Ademola Otekunrin
This document summarizes a study that explored the dietary diversity and nutritional status of adolescents among rural farm households in Southwestern Nigeria. The study analyzed whether higher levels of commercialization of farm households translated to better nutrition for adolescent members. The study found high levels of stunting and thinness among adolescent boys and girls. Stunting prevalence was very high (60-83%) across all levels of household commercialization, indicating that belonging to more commercialized households did not necessarily translate to better adolescent nutrition. Food expenditure and access to piped water negatively influenced adolescent stunting, while education had a positive effect on dietary diversity.
Final Project – Recommendation ReportThe purpose of the Final PrChereCheek752
Final Project – Recommendation Report
The purpose of the Final Project is to provide an opportunity to integrate your understanding of how to use technical writing skills to write a Recommendation Report based on a chain of relevant preliminary documents that you have produced in Weeks One through Four. The Recommendation Report should demonstrate your ability to apply course concepts in recommending an initiative or solution to a problem that you may experience in your current or future career. Use the topic from your Week One Proposal that was approved by your instructor. For reference again, the following are possible topics for your Final Project:
· Environmental Cleanup Recommendation Report
· New Energy Resource Recommendation Report
· Senior Healthcare Facility Recommendation Report
· Telecommuting Recommendation Report
· School Nutrition/Fitness Recommendation Report
· Business Market Recommendation Report
· Educational Grant Recommendation Report
· Patient Safety Recommendation Report
· Topic of your choice Recommendation Report (needs approval from instructor)
Continue to research the topic you chose in Week One and expand the body of your Recommendation Report from the Week Three rough draft. The report should show ongoing consideration of the primary and secondary audiences that you analyzed in Week One.
Your Recommendation Report must be eight to ten pages in length, exclusive of title page, references page, glossary, and any other appendices. All of the sections below should incorporate any revision suggestions that your instructor offered on the Week Three Assignment.
The Final Project must include:
· A title page (page 481).
· A letter of transmittal (pages 481).
· An abstract (pages 481-482). This will provide an overview of a problem and solution relating to the larger Recommendation Report.
· A table of contents and corresponding page numbers (pages 482-483). This table should closely correlate with subheadings, and figures in the body of the Recommendation Report.
· A table of graphics/illustrations (pages 483-485). This table should closely correlate with subheadings, and figures in the body of the Recommendation Report.
· A one-page executive summary (pages 483-484, 493).
· Body, including an introduction (problem, solution, background, data sources, scope and limitation) that ends with a clear thesis statement or initiative to solve the identified problem, methods, results, conclusions, and recommendations (pages 478-480).
· A concluding paragraph that restates the paper’s main ideas (pages 480)..
· Effective, useful, and properly cited graphic aids (minimum of three). For citation guidance, see pages 483-485).
· Glossary that provides a comprehensive overview of specialized terminology appearing in the Recommendation Report (pages 479-489).
· Include at least four sources (from Week Two Assignment) in addition to the course textbook that are amply and appropriately cited in the text of the document and liste ...
POSHAN District Nutrition Profile_Jharsuguda_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
—In many cultures in India, womanhood is defined through motherhood and infertile women usually carry the blame for the couple inability to conceive. A childless woman is stigmatized and sometimes not allowed to participate in various auspicious ceremonies, particularly those involving childbirth. The present study was undertaken in S.M.S. Medical College, Jaipur, Rajasthan to find out the factors contributing to infertility and the health seeking behavior of infertile women. A hospital based observational study was carried out in year 2017 on eligible women attending OPD of Obstetrics and Gynecology at Mahila Chikitsalaya, S.M.S. Medical College Jaipur. A total 1000 eligible women were recruited using systematic random sampling and interviewed using a predesigned and pretested questionnaire. A total of 119 women (11.9%) were found to be infertile. Age of women, caste, residence, education status of women, occupation, family size and socioeconomic status were found to be significantly associated with infertility (P<0.05). Lower age of women, OBC caste, urban residence, less family size, lesser education status of women, housewives and middle socioeconomic status were found to have significantly more infertile females than their counterparts. Age of women, type of family and religion were not found to be associated with infertility (P >0.05). Improving awareness about infertility and its management could help reduce the burden and its social implications.
POSHAN District Nutrition Profile_Boudh_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
This document describes an unpaid research and communications administrator position with INKEx, an Irish nonprofit organization. The 6-month placement offers experience in marketing, communications, research, and social media for a recent graduate. Duties include implementing communications plans, stakeholder outreach, public relations, and developing promotional materials. Candidates should have strong communication skills, be able to meet deadlines, and be comfortable with web and office tools. The position is located in Dublin and eligible for welfare payments through the FAS work placement program.
POSHAN District Nutrition Profile_Sundergarh_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gajapati_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
1) The study examined the impact of orange-fleshed sweetpotato (OFSP) adoption on dietary quality among women and children in Western Kenya.
2) The study found that households growing OFSP had significantly higher diet diversity scores (15-18% higher) and vitamin A intake (10-20% higher) for women and children compared to non-adopting households.
3) Regression analysis confirmed that both OFSP adoption and greater adoption intensity positively impacted women and children's dietary diversity and vitamin A consumption. Adoption intensity had a larger effect than simple adoption.
This document discusses how to improve nutrition by addressing micronutrient inadequacies through partnerships between science and agriculture. It introduces a calculator called CIMI that can assess micronutrient intake and deficiencies in populations using dietary data. CIMI analyzes intake of key nutrients and classifies bioavailability, identifying gaps. It presents results in tables and diagrams. Validation shows CIMI provides a rough estimate of micronutrient gaps. While fortification or biofortification can address isolated deficiencies, the focus should be improving whole diets to ensure adequate intake of all essential nutrients.
Exploring dietary diversity, nutritional status of adolescents among farm hou...Olutosin Ademola Otekunrin
Purpose:
This study explored dietary diversity and nutritional status of adolescents among rural farm households in Southwestern Nigeria. It analyses if higher commercialization levels of farm households translate to better nutrition.
Design/methodology/approach: The study was conducted in Ogun and Oyo States of Southwestern Nigeria, utilizing primary data from 352 farm households with a total of 160 adolescent members. The individual version of dietary diversity score (DDS) of nine (9) food groups was used to calculate adolescent DDS over a 24-h recall period, World Health Organization (WHO) AnthroPlus software was used in analyzing adolescents’ anthropometric data (height-for-age z-score and BMI-for-age z-score) while household crop commercialization index (CCI) was estimated for each farm household. Separate logit models were used to examine the drivers of adolescents’ dietary diversity and malnutrition.
Findings: The study findings indicated that 100% of the adolescents consumed starchy staples while 0%, 3.1% and 12.5% consumed organ meat, milk/milk poducts, and eggs respectively. Results revealed that 74.1% and 21.2% of boys were stunted and thin while the prevalence in adolescent girls was 50.7% and 9.3% respectively. Prevalence of stunting was found to be very high (60-83%) in all the four CCI levels’ households indicating that belonging to highly commercialized households (CCI 3-4) may not necessarily translate to better nutrition of adolescent members. Food expenditure (p< 0.01) and access to piped water (p< 0.01) negatively influenced adolescents’ stunting mainly due to lower expediture on food items and lower percent of household having access to piped water respectively while education (p< 0.01) had positive effect on adolescents’ dietary diversity.
Originality/value: Previous studies have contributed to the body of knowledge concerning the link between agricultural commercialization and nutrition using under-five children of the households. However, this is the first study that investigated the influence of CCI on DDS and nutritional status of adolescent members of farm households in Nigeria. Our study fills this existing knowledge gap in investigating adolescents’ dietary diversity and malnutrition among smallholder farm households.
National Diet and Nutrition Survey: UK 2008 - 2012 - Executive Summary New Food Innovation Ltd
"The NDNS provides the only source of high quality nationally representative data on the types and quantities of foods consumed by individuals, from which estimates of nutrient intake for the population are derived.iv Results are used by Government to develop policy and monitor progress on diet and nutrition objectives of UK health departments, for example those set out in the Healthy Lives, Healthy People white paper in England.v The food consumption data are also used by FSA to assess exposure to chemicals in food, as part of the risk assessment and communication process in response to a food emergency or to inform negotiations on setting regulatory limits for contaminants."
Exploring dietary diversity, nutritional status of adolescents amongfarmhouse...Olutosin Ademola Otekunrin
Purpose –This study aims to explore dietary diversity (DD) and nutritional status of adolescents among rural farm households in Southwestern Nigeria. It analyses whether higher commercialization levels of farm households translate to better nutrition. Design/methodology/approach –This study was conducted in Ogun and Oyo States of Southwestern Nigeria, using primary data from352 farm households with a total of 160 adolescent members. The individual version of dietary diversity score (DDS) of nine food groups was used to calculate adolescent DDS over a 24-h recall period. World Health Organization AnthroPlus software was used in analyzing adolescents’ anthropometric data (height-for-age z-score and body mass index-for-age z-score) while household crop commercialization index (CCI) was estimated for each farm household. Separate logit models were used to examine thedriversof adolescents’ DDandmalnutrition. Findings –Thestudyfindings indicated that 100% of the adolescents consumed starchy staples while 0%, 3.1% and 12.5% consumed organ meat, milk/milk products and eggs, respectively. Results revealed that 74.1%and21.2%ofboyswerestuntedandthinwhiletheprevalenceinadolescent girls was 50.7%and9.3%, respectively. Prevalence of stunting was found to be very high (60%–83%) in all the four CCI levels’ households indicating that belonging to highly commercialized households (CCI 3–4) may not necessarily translate to better nutrition of adolescent members. Food expenditure (p < 0.01) and access to piped water (p <0.01) negatively influenced adolescents’ stunting mainly because of lower expenditure on food items and lower percent of household having access to piped water, respectively, while education (p < 0.01) had positive effects on adolescents’ DD. Originality/value –Previous studies have contributed to the body of knowledge concerning the link between agricultural commercialization and nutrition using under-five children of the households. However, to the best of the authors’ knowledge, this is the first study that investigated the influence of CCI on DDSandnutritional status of adolescent members of farm households in Nigeria. This study fills this existing knowledge gap in investigating adolescents’ DD and malnutrition among smallholder farm households.
Yan Bai
POLICY SEMINAR
Are healthy diets affordable? Using new data on retail prices and diet costs to guide agricultural and food policy
Co-organized by IFPRI, Tufts University, the World Bank, and Food and Agriculture Organization (FAO)
JUL 15, 2022 - 10:00 TO 11:30AM EDT
1) Growing orange-fleshed sweetpotato (OFSP) was found to improve dietary quality and vitamin A intake for women and children in Western Kenya. OFSP adoption was associated with 15-18% higher diet diversity scores and 10-20% higher vitamin A intake compared to non-adoption.
2) Instrumental variable regression models found that both OFSP adoption and greater adoption intensity had a statistically significant positive impact on women and children's dietary diversity and vitamin A intake. Adoption intensity showed an even higher impact on diet quality.
3) Validation tests confirmed the models were correctly specified and the relationships between OFSP adoption and nutrition outcomes were endogenous, supporting the use of instrumental variables regression.
Dietary Intake and Nutritional Status of the Elderly in Osun State (2)iosrjce
The study compared the dietary intake and nutritional status of the elderly attending geriatric day
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was aimed at examining the relationships between income, acute diseases and food intake on dietary intake and
nutritional status of the elderly people. A total of four hundred and eighteen elderly respondents were recruited
for the study through a snow balling sampling technique. One hundred and thirty two elderly attending geriatric
day care centres were recruited as study group and 318 who do not attend any of the centres were recruited as
control group. Data was collected by using a twenty-item questionnaire adapted from Nestle Mini Nutritional
Assessment (MNA) scale.
Findings revealed that more (9.1%) of the respondents in the study group were undernourished, and 25.9% of
the respondents in the same group were overweight. There was no significant difference in the nutritional status
of respondents from both groups (X2=2.25, p= >0.05). This study concluded that attendance of geriatric day
care centres and income conferred no added benefit on the nutritional status and dietary pattern of the elderly.
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These PowerPoint slides present key data and information on child diet in clear, easy to understand charts and graphics. They have been produced by the Risk Factors Intelligence Team and can be used freely with acknowledgement to ‘Public Health England’.
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- The prevalence of malnutrition was 7.7% in children under 1 year old, 6.7% in children 1-3 years old, and 6.2% in children under 3 years old.
- Relationships were found between the nutritional status of children and factors like the age, education level, income, and occupation of the mothers. Children of mothers with higher education and income levels generally had lower
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Final Project – Recommendation ReportThe purpose of the Final PrChereCheek752
Final Project – Recommendation Report
The purpose of the Final Project is to provide an opportunity to integrate your understanding of how to use technical writing skills to write a Recommendation Report based on a chain of relevant preliminary documents that you have produced in Weeks One through Four. The Recommendation Report should demonstrate your ability to apply course concepts in recommending an initiative or solution to a problem that you may experience in your current or future career. Use the topic from your Week One Proposal that was approved by your instructor. For reference again, the following are possible topics for your Final Project:
· Environmental Cleanup Recommendation Report
· New Energy Resource Recommendation Report
· Senior Healthcare Facility Recommendation Report
· Telecommuting Recommendation Report
· School Nutrition/Fitness Recommendation Report
· Business Market Recommendation Report
· Educational Grant Recommendation Report
· Patient Safety Recommendation Report
· Topic of your choice Recommendation Report (needs approval from instructor)
Continue to research the topic you chose in Week One and expand the body of your Recommendation Report from the Week Three rough draft. The report should show ongoing consideration of the primary and secondary audiences that you analyzed in Week One.
Your Recommendation Report must be eight to ten pages in length, exclusive of title page, references page, glossary, and any other appendices. All of the sections below should incorporate any revision suggestions that your instructor offered on the Week Three Assignment.
The Final Project must include:
· A title page (page 481).
· A letter of transmittal (pages 481).
· An abstract (pages 481-482). This will provide an overview of a problem and solution relating to the larger Recommendation Report.
· A table of contents and corresponding page numbers (pages 482-483). This table should closely correlate with subheadings, and figures in the body of the Recommendation Report.
· A table of graphics/illustrations (pages 483-485). This table should closely correlate with subheadings, and figures in the body of the Recommendation Report.
· A one-page executive summary (pages 483-484, 493).
· Body, including an introduction (problem, solution, background, data sources, scope and limitation) that ends with a clear thesis statement or initiative to solve the identified problem, methods, results, conclusions, and recommendations (pages 478-480).
· A concluding paragraph that restates the paper’s main ideas (pages 480)..
· Effective, useful, and properly cited graphic aids (minimum of three). For citation guidance, see pages 483-485).
· Glossary that provides a comprehensive overview of specialized terminology appearing in the Recommendation Report (pages 479-489).
· Include at least four sources (from Week Two Assignment) in addition to the course textbook that are amply and appropriately cited in the text of the document and liste ...
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PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
—In many cultures in India, womanhood is defined through motherhood and infertile women usually carry the blame for the couple inability to conceive. A childless woman is stigmatized and sometimes not allowed to participate in various auspicious ceremonies, particularly those involving childbirth. The present study was undertaken in S.M.S. Medical College, Jaipur, Rajasthan to find out the factors contributing to infertility and the health seeking behavior of infertile women. A hospital based observational study was carried out in year 2017 on eligible women attending OPD of Obstetrics and Gynecology at Mahila Chikitsalaya, S.M.S. Medical College Jaipur. A total 1000 eligible women were recruited using systematic random sampling and interviewed using a predesigned and pretested questionnaire. A total of 119 women (11.9%) were found to be infertile. Age of women, caste, residence, education status of women, occupation, family size and socioeconomic status were found to be significantly associated with infertility (P<0.05). Lower age of women, OBC caste, urban residence, less family size, lesser education status of women, housewives and middle socioeconomic status were found to have significantly more infertile females than their counterparts. Age of women, type of family and religion were not found to be associated with infertility (P >0.05). Improving awareness about infertility and its management could help reduce the burden and its social implications.
POSHAN District Nutrition Profile_Boudh_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
This document describes an unpaid research and communications administrator position with INKEx, an Irish nonprofit organization. The 6-month placement offers experience in marketing, communications, research, and social media for a recent graduate. Duties include implementing communications plans, stakeholder outreach, public relations, and developing promotional materials. Candidates should have strong communication skills, be able to meet deadlines, and be comfortable with web and office tools. The position is located in Dublin and eligible for welfare payments through the FAS work placement program.
The document summarizes survey results from Irish teenagers aged 13-17 on body size satisfaction and weight control practices by BMI, sex, age, location, and socioeconomic group. It finds that overweight and obese teenagers were more likely to want to be smaller or lose weight compared to normal weight teenagers. Females were more likely than males to want to be smaller or lose weight. Older teenagers aged 15-17 were more likely to attempt weight loss than younger teenagers aged 13-14. Location and socioeconomic group had little influence on body size satisfaction and weight control practices.
The document presents anthropometric data on Irish teenagers aged 13-17 years old. It includes measurements of weight, height, BMI, waist circumference, and hip circumference broken down by age and sex. The data includes means, standard deviations, medians, and percentiles for each measurement. Key findings are that on average, males were heavier and taller than females, and weight and height increased with each older age group from 13-14 years to 15-17 years.
- The document presents data on daily nutrient intake values for a total population of 441 individuals, including means, standard deviations, medians, and percentiles.
- The data is broken down by macronutrients, vitamins, minerals, and dietary fiber intake and includes subgroups of males and females in different age groups.
- Key statistics reported include average daily energy intake in MJ and kcals, intake of proteins, fats, carbohydrates, and various vitamins and minerals measured in grams or milligrams.
The document presents mean, standard deviation, median, and percentile values for food group intakes in grams per day for the total population studied and for consumers only. It shows that for most food groups, the mean intake is higher when only considering consumers. For example, the mean rice intake is 39g for the total population but 61g for consumers only. The median and percentile values also increase for many food groups when only considering consumers.
The document contains 9 tables that present demographic data from a National Teens' Food Survey (NTFS) conducted in Ireland. The tables show characteristics of survey respondents such as age, sex, geographic location, socioeconomic factors, and parents' education levels. The data is also compared to corresponding census data from Ireland to show similarities between the survey respondents and the overall Irish population.
The document summarizes the methodology used for the National Teens' Food Survey conducted in Ireland between 2005-2006. It describes the sampling and selection of schools, recruitment of respondents, data collection methods including food diaries and questionnaires, anthropometric measurements, data analysis, and validation procedures. Over 400 teenagers were selected from 32 secondary schools across Ireland to collect detailed information on food and beverage intake and lifestyle factors over a 7-day period.
This document summarizes the National Teens' Food Survey conducted in Ireland which investigated the food and drink consumption, health, and lifestyle characteristics of 441 teenagers. The survey was carried out by the Irish Universities Nutrition Alliance and created an extensive electronic database on European teenagers. This database will be used by public health and food industry organizations. The survey was conducted by teams from University College Cork, Trinity College Dublin, and University College Dublin who are thanked for their funding and support.
The document reports results from a study on dietary intake in the UK. It includes 6 tables presenting mean, standard deviation, median and percentile values for daily intake of energy, macronutrients, vitamins, minerals and food groups for the total population and broken down by age and sex. The tables provide statistical data on nutritional intake and allow comparisons between demographic groups.
This document summarizes the methods and key findings of the National Teen Food Consumption Survey conducted in Ireland. The survey investigated food/beverage consumption, physical activity, health characteristics, and food choice factors of 441 Irish teens aged 13-17. Data was collected through 7-day food records, questionnaires, and anthropometric measurements. The survey aimed to establish a database on teen diets and lifestyles and investigate food/nutrient intakes, weight status, physical activity and sociodemographic characteristics. The database allows analysis of nutrient intakes, exposure to food chemicals, and supports product development and policymaking.
This document provides an introduction and background to the North/South Ireland Food Consumption Survey. The survey investigated food consumption, lifestyle factors, and health indicators in a representative sample of 1,379 adults aged 18-64 in Ireland. Comprehensive food consumption data was collected to inform public health policy and the food industry. Previous dietary surveys in Ireland were outdated, so this new database will be a valuable resource for analyzing issues related to food safety and nutrition. The survey also collected additional data on physical activity, anthropometrics, and attitudes to provide context for interpreting dietary intakes and their relationship to health.
This document summarizes the findings of the North/South Ireland Food Consumption Survey conducted by the Irish Universities Nutrition Alliance. The survey examined the food and beverage consumption, lifestyle habits, health indicators and attitudes of 1,379 adults aged 18-64 in Ireland. Key findings include:
- The most commonly consumed foods were potatoes, bread, dairy products and tea. Meat, bread, potatoes, dairy and biscuits/cakes provided nearly 60% of energy intake.
- Alcohol consumption was common, though many consumed above recommended maximums.
- Nutrient intakes were generally adequate, though many had low fiber, calcium and iron intake.
- Obesity levels increased significantly since 1990,
The document presents data on the number and location of eating occasions for Irish children aged 5-12. It finds that on average, children ate at home 29-30 times per week. They occasionally ate at other homes, with boys eating elsewhere more than girls. Outside of home, takeaways were the most common location for eating. The number of eating occasions varied slightly based on age, gender, parental education and social class.
The document contains 18 tables presenting nutrient intake data from a national survey, including means, standard deviations, medians and percentiles for calcium, magnesium, phosphorus, iron, copper, zinc by sex and age group. Intakes are shown from all sources and from food only, by location and parents' education. Intakes of all nutrients were typically higher in boys than girls and older children within each sex. Intakes varied some by location and parents' education level.
The National Children's Food Survey (NCFS) was conducted between 2003-2004 in Ireland to study food and nutrient intake in children aged 5-12 years. 594 children were selected from 28 primary schools across Ireland using stratified random sampling. Data was collected through 7-day weighed food diaries and questionnaires. Nutrient intake was analyzed using food composition databases. Anthropometric measurements and physical activity data using accelerometers was also collected. Rigorous methodology including training, multiple food diary reviews, and quality control procedures were employed to obtain accurate dietary intake data.
The document summarizes the National Children's Food Survey conducted in Ireland. The survey investigated food consumption, health, and lifestyle factors of 594 Irish children ages 5-12. It compiled a comprehensive electronic database on the children's habits. This database will be used by public health and food industry organizations. The survey was conducted by researchers from Trinity College Dublin and University College Cork with funding provided by the Irish government and several food companies.
The document contains 10 tables summarizing data from a survey of 594 Irish children ages 5-12 on topics like demographics, socioeconomic status, and family characteristics. The data is also compared to census data for Ireland. Key findings include that 49.5% of survey respondents were boys and 50.5% were girls, most children lived in open country or villages, over half had parents working as professional or non-manual workers, and the majority of parents had attained at least a secondary level of education.
The document presents mean, standard deviation, median and percentile values for food group intakes in grams per day for the total population and consumers only. For the total population, intake amounts vary widely between food groups with whole milk having the highest mean intake of 238g and creams having the lowest mean intake of 0g. When looking at consumers only, mean intakes are higher for all food groups compared to the total population as non-consumers are excluded from the calculations.
The document presents mean, standard deviation, median and percentile values for daily intake of energy, macronutrients, vitamins and minerals for a total population of 594 people. It also breaks this data down by gender and age groups for boys and girls aged 5-12 years old. The data shows the average daily nutrient intake values and the variation within the populations.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
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Richard Seddon, George Grey,
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Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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How Barcodes Can Be Leveraged Within Odoo 17Celine George
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NCFS - Contents
1. TABLE OF CONTENTS
CHAPTER 1 INTRODUCTION AND METHODOLOGY
This chapter provides a detailed description of the background information and
methodology used in the National Children’s Food Survey.
CHAPTER 2 SAMPLING AND CENSUS DATA
This chapter will provide information about the socio-demographic details on the
children who participated in the National Children’s Food Survey (NCFS) and compare
these data with the Census 2002 data.
Tables 2.1-2.6
Table 2.1 Numbers of respondents in the survey by sex and age group (number &
%)
Table 2.2 Numbers of respondents in the survey during winter (Sept-Feb) and
summer (Mar-Aug) by sex (number & %)
Table 2.3 Geographical location of respondents by sex and age group (number & %)
Table 2.4 Social class of respondents by sex (number & %)
Table 2.5 Socio-economic group of respondents by sex (number & %)
Table 2.6 Education level of respondents’ parents by sex and age group of
respondent (number & %)
Table 2.7 Percentage of boys and girls from the NCFS for each year age compared
with the census 2002 data
Table 2.8 Comparison of socio demographics from the Census 2002 for the total
population and for persons under the age of 15 years (similar to the NCFS
2. age group of 5-12 years), with data from the National Children's Food
Survey
Table 2.9 Comparison of marital status from the Census 2002 data (total population,
persons under the age of 15 years (similar to the NCFS age group of 5-12
years) and 30-50 years only) with marital status from the National
Children's Food Survey
Table 2.10 Comparison of education level from the Census 2002 data (total
population and 30-50 years only) with parental education level from the
National Children's Food Survey
CHAPTER 3 FOOD CONSUMPTION
This chapter presents the intakes of different food groups for the total population and by
consumers only.
Tables 3.1-3.6
Table 3.1 Mean, SD, median and percentile values of food group intakes (g/d) in the
total population
Table 3.2 Mean, SD, median and percentile values of food group intakes (g/d) in
consumers only
Table 3.3 Mean, SD, median and percentile values of food group intakes (g/d) for all
boys and by age group in the total population
Table 3.4 Mean, SD, median and percentile values of food group intakes (g/d) for all
girls and by age group in the total population
Table 3.5 Mean, SD, median and percentile values of food group intakes (g/d) for all
boys and by age group in consumers only
Table 3.6 Mean, SD, median and percentile values of food group intakes (g/d) for all
girls and by age group in consumers only
3. CHAPTER 4 NUTRIENT INTAKES
This chapter will provide information on energy, macronutrient, mineral, vitamin and
fibre intakes.
Tables 4.1-4.44
SUMMARY TABLES
Tables 4.1-4.3
Table 4.1 Mean, SD, median and percentile values of daily energy, macronutrient,
vitamin and mineral intakes for the total population
Table 4.2 Mean, SD, median and percentile values of daily energy, macronutrient,
vitamin and mineral intakes for all boys and by age group
Table 4.3 Mean, SD, median and percentile values of daily energy, macronutrient,
vitamin and mineral intakes for all girls and by age group
ENERGY
Tables 4.4-4.6
Table 4.4 Contribution of food groups (kcal & %) to mean daily energy intakes by
sex and age group
Table 4.5 Mean, SD and median values of daily energy intake (MJ/day) for boys by
demographic variables and age group
Table 4.6 Mean, SD and median values of daily energy intake (MJ/day) for girls by
demographic variables and age group
MACRONUTRIENTS
Tables 4.7-4.12
Table 4.7 Contribution of food groups (g & %) to mean daily protein intakes by sex
and age group.
4. Table 4.8 Contribution of food groups (g & %) to mean daily fat intakes by sex and
age group.
Table 4.9 Contribution of food groups (g & %) to mean daily carbohydrate intakes
by sex and age group.
Table 4.10 Mean, SD and median values of macronutrient intakes for boys and girls
by geographical location
Table 4.11 Mean, SD and median values of macronutrient intakes for boys and girls
by level of education
Table 4.12 Mean, SD and median values of macronutrient intakes for boys and girls
by social class
MINERALS
Tables 4.13-4.21
Table 4.13 Mean, SD, median and percentile values of calcium intakes (mg) from all
sources and from food sources (excluding supplements) by sex and age
group
Table 4.14 Mean, SD, median and percentile values of magnesium intakes (mg) from
all sources and from food sources (excluding supplements) by sex and age
group
Table 4.15 Mean, SD, median and percentile values of phosphorus intakes (mg) from
all sources and from food sources (excluding supplements) by sex and age
group
Table 4.16 Mean, SD, median and percentile values of iron intakes (mg) from all
sources and from food sources (excluding supplements) by sex and age
group
Table 4.17 Mean, SD, median and percentile values of copper intakes (mg) from all
sources and from food sources (excluding supplements) by sex and age
group
5. Table 4.18 Mean, SD, median and percentile values of zinc intakes (mg) from all
sources and from food sources (excluding supplements) by sex and age
group
Table 4.19 Mean, SD and median values of mineral intakes (mg) from all sources
(including supplements) by sex and geographical location
Table 4.20 Mean, SD and median values of mineral intakes (mg) from all sources
(including supplements) by sex and level of education
Table 4.21 Mean, SD and median values of mineral intakes (mg) from all sources
(including supplements) by sex and social class
VITAMINS
Tables 4.22-4.39
Table 4.22 Mean, SD, median and percentile values of retinol intake (µg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.23 Mean, SD, median and percentile values of carotene intake (µg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.24 Mean, SD, median and percentile values of total vitamin A intake (µg)
from all sources and from food sources only (excluding supplements) by
sex and age group
Table 4.25 Mean, SD, median and percentile values of vitamin D intake (µg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.26 Mean, SD, median and percentile values of vitamin E intake (mg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.27 Mean, SD, median and percentile values of thiamin intake (mg) from all
sources and from food sources only (excluding supplements) by sex and
age group
6. Table 4.28 Mean, SD, median and percentile values of riboflavin intake (mg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.29 Mean, SD, median and percentile values of pre-formed niacin intake (mg)
from all sources and from food sources only (excluding supplements) by
sex and age group
Table 4.30 Mean, SD, median and percentile values of total niacin equivalents (mg)
from all sources and from food sources only (excluding supplements) by
sex and age group
Table 4.31 Mean, SD, median and percentile values of vitamin B6 intake (mg) from
all sources and from food sources only (excluding supplements) by sex
and age group
Table 4.32 Mean, SD, median and percentile values of vitamin B12 intake (mg) from
all sources and from food sources only (excluding supplements) by sex
and age group
Table 4.33 Mean, SD, median and percentile values of folate intake (µg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.34 Mean, SD, median and percentile values of biotin intake (µg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.35 Mean, SD, median and percentile values of pantothenate intake (mg) from
all sources and from food sources only (excluding supplements) by sex
and age group
Table 4.36 Mean, SD, median and percentile values of vitamin C intake (mg) from all
sources and from food sources only (excluding supplements) by sex and
age group
Table 4.37 Mean, SD and median values of vitamin intakes from all sources
(including supplements) by sex and geographical location
Table 4.38 Mean, SD and median values of vitamin intakes from all sources
(including supplements) by sex and level of education of parents
7. Table 4.39 Mean, SD and median values of vitamin intakes from all sources
(including supplements) by sex and social class
FIBRE
Tables 4.40-4.44
Table 4.40 Mean, SD, median and percentile values of NSP (g) intakes from all food
sources for the total population and by sex and age group
Table 4.41 Mean, SD and median values of NSP (g/MJ) intakes from all food sources
for the total population and by sex and age group
Table 4.42 Mean, SD and median values of NSP intakes (g and g/MJ) for the total
population and boys and girls by geographical location
Table 4.43 Mean, SD and median values of NSP intakes (g and g/MJ) for the total
population and boys and girls by level of education of parents
Table 4.44 Mean, SD and median values of NSP intakes (g and g/MJ) for the total
population and boys and girls by social class
CHAPTER 5 ANTHROPOMETRY
This chapter will present anthropometric data by sex, age group and demographic &
lifestyle factors.
Tables 5.1-5.19
Table 5.1 Mean, SD, median and percentile values of anthropometric measurements
for all 5-12 year old Irish children and by age group
Table 5.2 Mean, SD, median and percentile values of anthropometric measurements
by sex and age group
Table 5.3 Mean, SD and median values of weight (kg) for all 5-12 year old Irish
children by demographic and lifestyle factors and by age group
8. Table 5.4 Mean, SD and median values of weight (kg) for all 5-12 year old Irish
boys by demographic and lifestyle factors and by age group
Table 5.5 Mean, SD and median values of weight (kg) for all 5-12 year old Irish girls
by demographic and lifestyle factors and by age group
Table 5.6 Mean, SD and median values of height (m) for all 5-12 year old Irish
children by demographic and lifestyle factors and by age group
Table 5.7 Mean, SD and median values of height (m) for all 5-12 year old Irish boys
by demographic and lifestyle factors and by age group
Table 5.8 Mean, SD and median values of height (m) for all 5-12 year old Irish girls
by demographic and lifestyle factors and by age group
Table 5.9 Mean, SD and median values of BMI (kg/m2) for all 5-12 year old Irish
children by demographic and lifestyle factors and by age group
Table 5.10 Mean, SD and median values of BMI (kg/m2) for all 5-12 year old Irish
boys by demographic and lifestyle factors and by age group
Table 5.11 Mean, SD and median values of BMI (kg/m2) for all 5-12 year old Irish
girls by demographic and lifestyle factors and by age group
Table 5.12 Mean, SD and median values of waist circumference (cm) for all 5-12 year
old Irish children by demographic and lifestyle factors and by age group
Table 5.13 Mean, SD and median values of waist circumference (cm) for all 5-12 year
old Irish boys by demographic and lifestyle factors and by age group
Table 5.14 Mean, SD and median values of waist circumference (cm) for all 5-12 year
old Irish girls by demographic and lifestyle factors and by age group
Table 5.15 Mean, SD and median values of hip circumference (cm) for all 5-12 year
old Irish children by demographic and lifestyle factors and by age group
Table 5.16 Mean, SD and median values of hip circumference (cm) for all 5-12 year
old Irish boys by demographic and lifestyle factors and by age group
Table 5.17 Mean, SD and median values of hip circumference (cm) for all 5-12 year
old Irish girls by demographic and lifestyle factors and by age group
Table 5.18 Percentage of all 5-12 year old Irish children defined as normal,
overweight and obese by age group using the UK 90 cut-offs
9. Table 5.19 Percentage of all 5-12 year old Irish children defined as normal,
overweight and obese by age group using the IOTF cut-offs
CHAPTER 6 FOOD SERVICE SECTOR
This chapter will provide information on eating occasions at home and outside the home.
Tables 6.1-6.11
Table 6.1 Number of eating occasions at home, at other people’s home, outside the
home and at various locations outside the home for Irish boys and girls,
aged 5-12 years for the total population and consumers only
Table 6.2 Number of eating occasions at home, at other people’s home, outside the
home and at various locations outside the home for Irish boys and girls by
age group
Table 6.3 Number of eating occasions at home, at other people’s home, outside the
home and at various locations outside the home for Irish boys and girls by
parental education level
Table 6.4 Number of eating occasions at home, at other people’s home, outside the
home and at various locations outside the home for Irish boys and girls by
social class
Table 6.5 Number of eating occasions at home, at other people’s home, outside the
home and at various locations outside the home for Irish boys and girls by
location of residence
Table 6.6 Energy and nutrient intakes (macronutrients as a percentage of energy,
fibre and micronutrients per 10 MJ) from home, other people's home and
outside the home in Irish children aged 5-12 years
Table 6.7 Energy and nutrient intakes (macronutrients as a percentage of energy,
fibre and micronutrients per 10 MJ) from home, other people's home and
outside the home in Irish children aged 5-12 years by sex
10. Table 6.8 Energy and nutrient intakes (macronutrients as a percentage of energy,
fibre and micronutrients per 10 MJ) from home, other people's home and
outside the home in Irish children aged 5-12 years by age group
Table 6.9 Energy and nutrient intakes (macronutrients as a percentage of energy,
fibre and micronutrients per 10 MJ) from locations outside the home
(takeaway, restaurant, shop and other locations) in Irish children aged 5-12
years
Table 6.10 Energy and nutrient intakes (macronutrients as a percentage of energy,
fibre and micronutrients per 10 MJ) from locations outside the home
(takeaway, restaurant, shop and other locations) in Irish children aged 5-12
years by sex
Table 6.11 Energy and nutrient intakes (macronutrients as a percentage of energy,
fibre and micronutrients per 10 MJ) from locations outside the home
(takeaway, restaurant, shop and other locations) in Irish children aged 5-12
years by age group