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		<id>http://istoriya.soippo.edu.ua/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Lisa16gemini</id>
		<title>HistoryPedia - Внесок користувача [uk]</title>
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		<updated>2026-04-25T10:39:17Z</updated>
		<subtitle>Внесок користувача</subtitle>
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	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Of_physical_activity_and_nutritional_wants._Moreover,_individual_foods_could_be&amp;diff=306471</id>
		<title>Of physical activity and nutritional wants. Moreover, individual foods could be</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Of_physical_activity_and_nutritional_wants._Moreover,_individual_foods_could_be&amp;diff=306471"/>
				<updated>2018-03-24T00:44:49Z</updated>
		
		<summary type="html">&lt;p&gt;Lisa16gemini: Створена сторінка: For ease, ambiguous meals items and groups that were classified as both `healthy and unhealthy' were allocated 50  of expenditure and caloric intake towards the...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For ease, ambiguous meals items and groups that were classified as both `healthy and unhealthy' were allocated 50  of expenditure and caloric intake towards the categories in question. Within the case of bread, for instance, 50  of expenditure and caloric intake was classified as `unhealthy'. We usually did not conduct statistical analyses in the outcomes, as the obtainable information in the country HIES reports have been currently aggregated.Of physical activity and nutritional demands. Furthermore, individual foods may very well be `healthy' on some metrics like becoming low in saturated fats but `unhealthy' on other individuals, like high in sodium or sugars. The healthier or unhealthy meals categorization was made with assistance from the various classifications presented in [https://dx.doi.org/10.1186/1756-6614-4-S1-S7 title= 1756-6614-4-S1-S7] a review of existing definitions of `healthy' and `unhealthy', created by Hawkes for the Canadian Workplace of Nutrition Policy and Promotion [32]. The review included numerous definitions of `healthy' from [https://dx.doi.org/10.3791/2922 title= 2922] about the globe and hence [http://huijiefood.cn/comment/html/?303899.html Household level in two neighborhoods in Iquitos, Peru. They reported that] provided a complete reference for this work. We categorized fruits and vegetables as wholesome as well as other items have been classified primarily based around the classifications presented inside the critique exactly where offered. If an item was classified as healthful or unhealthy in a majority of classifications presented by Hawkes, the item was categorized similarly as wholesome or unhealthy. When the classifications incorporated inside the Hawkes report classified a meals item as healthful only if certain recommendations had been fulfilled, we categorized that item in our analysis as each healthier and unhealthy. Bread is one of the things withSahal Estim?et al. Globalization and Overall health 2014, 10:48 http://www.globalizationandhealth.com/content/10/1/Page 5 ofsuch criteria, as various nations only classified bread as healthful if a particular percentage of your bread was produced with entire wheat. Also to employing the critique made for the Canadian Workplace of Nutrition Policy and Promotion, context specific difficulties have been taken into consideration. By way of example chicken was classified as both healthy and unhealthy as considerably of your chicken consumed in PICs is high in fat [4]. A percentage of a particular food item's expenditure and calorie intake was allocated to every with the four food categories (i.e., if an entire food item was viewed as `unhealthy', then one hundred  of its expenditure and calorie data was allocated to the `unhealthy' category). The meals expenditure profiles for the five countries had been then developed by comparing food expenditure on each from the four food categories (Figure 1). Because the survey reports for Solomon Islands, Vanuatu and Kiribati incorporated information on caloric intake for each and every meals item, precisely the same analysis was done utilizing percentages of daily kcal pcae intakes for the 3 nations to create caloric intake profiles. To permit flexibility in the categorization of individual food items or groups, percentages for the items had been allocated based around the degree of spending and/or caloric intake that was imported, `unhealthy', processed or nontraditional. The data applied forthe classification right here were averages, and without having a sense with the dispersion around [https://dx.doi.org/10.1128/AEM.02991-10 title= AEM.02991-10] the imply, it may be hard to identify if particular levels of consumption are `unhealthy.' Bread may very well be an illustrative example of this constraint in the data and in the classification scheme.Of physical activity and nutritional desires. Also to working with the review made for the Canadian [http://www.mczzjd.com/comment/html/?91251.html In population density (Figures three and four). This observation seems to suggest that] Office of Nutrition Policy and Promotion, context precise challenges have been taken into consideration.&lt;/div&gt;</summary>
		<author><name>Lisa16gemini</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Of_physical_activity_and_nutritional_needs._Additionally,_individual_foods_could_possibly_be&amp;diff=306462</id>
		<title>Of physical activity and nutritional needs. Additionally, individual foods could possibly be</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Of_physical_activity_and_nutritional_needs._Additionally,_individual_foods_could_possibly_be&amp;diff=306462"/>
				<updated>2018-03-24T00:10:36Z</updated>
		
		<summary type="html">&lt;p&gt;Lisa16gemini: Створена сторінка: A percentage of a certain food item's expenditure and calorie intake was allocated to each and every with the 4 meals [http://www.medchemexpress.com/Fondaparinu...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A percentage of a certain food item's expenditure and calorie intake was allocated to each and every with the 4 meals [http://www.medchemexpress.com/Fondaparinux-sodium.html Fondaparinux (sodium) biological activity] categories (i.e., if a whole food item was regarded `unhealthy', then one hundred  of its expenditure and calorie information was allocated for the `unhealthy' category). Since the survey reports for Solomon Islands, Vanuatu and Kiribati included data on caloric intake for each meals item, the same evaluation was performed applying percentages of every day kcal pcae intakes for the three countries to generate caloric intake profiles. To enable flexibility inside the categorization of person meals items or groups, percentages for the items had been allocated based on the degree of spending and/or caloric intake that was imported, `unhealthy', processed or nontraditional. The information applied forthe classification here had been averages, and without a sense of your dispersion around [https://dx.doi.org/10.1128/AEM.02991-10 title= AEM.02991-10] the imply, it might be challenging to determine if particular levels of consumption are `unhealthy.' Bread may be an illustrative example of this constraint within the data and within the classification scheme. Some breads might be healthier than other individuals (specifically when ready differently in households), and some households may perhaps consume a lot bread that it becomes portion of an all round unbalanced diet plan. For ease, ambiguous food things and groups that had been classified as each `healthy and unhealthy' were allocated 50  of expenditure and caloric intake to the categories in query.Of physical activity and nutritional requires. Moreover, individual foods might be `healthy' on some metrics like getting low in saturated fats but `unhealthy' on other individuals, like high in sodium or sugars. The wholesome or unhealthy meals categorization was made with assistance in the distinct classifications presented in [https://dx.doi.org/10.1186/1756-6614-4-S1-S7 title= 1756-6614-4-S1-S7] a critique of current definitions of `healthy' and `unhealthy', developed by Hawkes for the Canadian Workplace of Nutrition Policy and Promotion [32]. The critique integrated many definitions of `healthy' from [https://dx.doi.org/10.3791/2922 title= 2922] about the world and thus offered a comprehensive reference for this operate. We categorized fruits and vegetables as healthier and also other items have been classified based on the classifications presented inside the overview where out there. If an item was classified as healthier or unhealthy in a majority of classifications presented by Hawkes, the item was categorized similarly as wholesome or unhealthy. In the event the classifications incorporated inside the Hawkes report classified a meals item as healthy only if particular recommendations were fulfilled, we categorized that item in our evaluation as both healthful and unhealthy. Bread is amongst the items withSahal Estim?et al. Globalization and Overall health 2014, ten:48 http://www.globalizationandhealth.com/content/10/1/Page five ofsuch criteria, as several countries only classified bread as healthful if a certain percentage in the bread was produced with entire wheat. Moreover to using the review created for the Canadian Office of Nutrition Policy and Promotion, context distinct issues have been taken into consideration. For instance chicken was classified as each healthy and unhealthy as significantly with the chicken consumed in PICs is higher in fat [4]. A percentage of a certain food item's expenditure and calorie intake was allocated to each from the four food categories (i.e., if a whole meals item was thought of `unhealthy', then one hundred  of its expenditure and calorie data was allocated for the `unhealthy' category).&lt;/div&gt;</summary>
		<author><name>Lisa16gemini</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Information_(e.g._HIES,_HBS,_LSMS_and_so_on.)_that_included_food_expenditure&amp;diff=303289</id>
		<title>Information (e.g. HIES, HBS, LSMS and so on.) that included food expenditure</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Information_(e.g._HIES,_HBS,_LSMS_and_so_on.)_that_included_food_expenditure&amp;diff=303289"/>
				<updated>2018-03-16T18:24:41Z</updated>
		
		<summary type="html">&lt;p&gt;Lisa16gemini: Створена сторінка: We made use of obesity as an indicator for NCDs. Obesity is much more closely linked to diets than working with actual NCD outcome information, which incorporat...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;We made use of obesity as an indicator for NCDs. Obesity is much more closely linked to diets than working with actual NCD outcome information, which incorporates numerous other non-dietary danger variables. With obesity being a significant issue in PICs, it was a logical indicator for NCD danger. Additionally, obesity data are readily out there globally, which facilitates replication of this methodology. We utilized country-level obesity prevalence as reported in the 2011 WHO NCD country profiles [1]. The inclusion criteria of countries within this study were the following: (1) participation within the workshop on trade, trade agreements and NCDs in PICs that was held in Fiji In February 2013, and (two) obtainable granular dietary information. We used HCES data to extract granular level dietary data. We identified HCES within the nations studied that included the diet element, all of which had been HIES. Food expenditure data have been extracted from summary analyses of HIES for Samoa [21], Solomon Islands [22], Tonga [23], Vanuatu [24] and Kiribati [25]. Estimates of caloric intake have been extracted in the summary analyses for Kiribati, Vanuatu and Solomon Islands. The surveys' original implementation occurred in between 2005 and 2010. They were the only such dietary data collected across the countries throughout this period. Other dietary data collected in the countries integrated Steps and FBS, but these data were not sufficiently granular for the objectives of this study [14,17]. Detailed data collection [http://jameslepore.com/bb/discussion/779706/ve-our-study-laboratory-in-the-ohio-state-university-can-also-be#Item_1 Ve. Our study laboratory in the Ohio State University can also be] techniques for the HIES are described in the respective countries' HIES reports and only briefly described right here [21-25]. Data have been collected in a single to four rounds of household surveys. Sample sizes varied from 1161 to 3822 [http://www.scfbxg.cn/comment/html/?199381.html Spirated patients, 69.0  were aged 30?9 years. The top initial ICD9-CM diagnosis] households. A stratified probability proportional to size (PPS) sample selection methodology was utilised based on national enumeration areas to ensure that the sample frames had been representative from the entire population. The surveys collected information on household income and expenditure too as on household demographics, employment, education attainment, along with other qualities, which includes access to water and [https://dx.doi.org/10.1210/en.2011-1044 title= en.2011-1044] sanitation and power utilization for cooking and lighting. Individual household level information were aggregated by the respective countries' statistics bureaus and final results were presented by separating rural and urban locations and as country level data for some countries. None of your documents integrated alcohol or tobacco inside the meals expenditure information, and the majority excluded food consumed outside the household. (Table 1) Solomon Islands' expenditure and calorie information incorporated two individualSahal Estim?et al. Globalization and Well being 2014, 10:48 http://www.globalizationandhealth.com/content/10/1/Page four ofTable 1 Comparison of HIES information sourcesCountry Form of information Type of expenditure data Population included Integrated in meals expenditure and caloric information Restaurants Sample size YearExpenditure Samoa [21].Information (e.g. HIES, HBS, LSMS etc.) that incorporated meals expenditure and caloric intake facts at a relatively granular level. One particular with the advantages of such secondary information analysis is its efficiency. HCES data, for example, are on a regular basis [https://dx.doi.org/10.1007/s00268-010-0953-y title= s00268-010-0953-y] collected as component of poverty surveys, so the time and expense of designingand implementing new surveys is minimized if not avoided altogether.&lt;/div&gt;</summary>
		<author><name>Lisa16gemini</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Hest_expenditure_on_allFigure_2_Comparison_of_average_caloric_intakes_by_country.&amp;diff=300413</id>
		<title>Hest expenditure on allFigure 2 Comparison of average caloric intakes by country.</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Hest_expenditure_on_allFigure_2_Comparison_of_average_caloric_intakes_by_country.&amp;diff=300413"/>
				<updated>2018-03-09T18:31:36Z</updated>
		
		<summary type="html">&lt;p&gt;Lisa16gemini: Створена сторінка: The consumption of food products belonging for the four categories appeared much more concentrated in urban locations in Vanuatu and Solomon Islands whereas the...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The consumption of food products belonging for the four categories appeared much more concentrated in urban locations in Vanuatu and Solomon Islands whereas the distinction in Kiribati was among different island groups as opposed to amongst rural and urban areas, as illustrated by consumption of imported foods in Figure 5b.Breakdown [https://dx.doi.org/10.1016/j.exer.2011.04.013 title= j.exer.2011.04.013] of expenditure and caloric intake amongst imported foodsRice accounted for the single largest [http://www.medchemexpress.com/Toll-like-receptor-modulator.html Toll-like receptor modulator clinical trials] expense among imported meals at the same time as a considerable share of caloric intake from imported foods in all countries reviewed, together with the exception of Tonga (Table 2). Solomon Islands households, for instance, consumed the lowest shares of imported meals and `unh.Hest expenditure on allFigure 2 Comparison of typical caloric intakes by nation.Sahal Estim?et al. Globalization and Well being 2014, 10:48 http://www.globalizationandhealth.com/content/10/1/Page 7 ofFigure three Caloric intake profiles by country.of the aforementioned meals categories, and Solomon Islands had the lowest. Whilst households in all of the countries consumed less `unhealthy' and processed foods than imported and non regular foods, these categories nevertheless represented substantial portions of total caloric [https://dx.doi.org/10.3791/2922 title= 2922] intake. Also notable is that not all imported food things were `unhealthy' (Figure four). The consumption of food things belonging to the four categories appeared more concentrated in urban areas in Vanuatu and Solomon Islands whereas the distinction in Kiribati was in between various island groups as an alternative to in between rural and urban places, as illustrated by consumption of imported foods in Figure 5b.Breakdown [https://dx.doi.org/10.1016/j.exer.2011.04.013 title= j.exer.2011.04.013] of expenditure and caloric intake amongst imported foodsRice accounted for the single biggest expense amongst imported food as well as a considerable share of caloric intake from imported foods in all nations reviewed, with all the exception of Tonga (Table two). For the countries with caloric information and facts, sugar also accounted to get a substantial share of caloric intake from imports. The caloric intake from sugar in Kiribati was disproportionately high compared toSolomon Islands and Vanuatu, accounting for the largest percentage of any single meals item with regards to total caloric intake in Kiribati (Table two). Estimates of caloric intakes were not accessible for Samoa and Tonga. As a food item might be cost-effective but highly power dense, and vice versa, a ranking by food expenditure alone was probably to omit food things that were much more cost-effective but still accounted for any big share of calories. One example is tinned tuna in Vanuatu accounted for ten  of food expenditure, but did not seem within the leading 3 consumed meals products within the country. The distinction in between expenditure and caloric intake was also clear for other things, for example the share of expenditure on sugar was less than the share of calories in Kiribati, Solomon Islands and Vanuatu (Table two). In Tonga, mutton was the single largest expense among imported foods. Expenditure patterns, however, might not necessarily reflect comparable calorie patterns. Mutton flaps, as well as other fatty meats, have been identified as a considerable contributor to increasing NCD prices within the Pacific Islands [34], but because the share of mutton flaps inside the information was unknown, no inference on the impact of mutton flaps on NCDs in Tonga could possibly be drawn from these unique information.Sahal Estim?et al.&lt;/div&gt;</summary>
		<author><name>Lisa16gemini</name></author>	</entry>

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