scholarly journals Changing Food Consumption and Nutrition Intake in Kazakhstan

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 326
Author(s):  
Mengmeng Jia ◽  
Lin Zhen ◽  
Yu Xiao
Keyword(s):  
Energy Intake ◽  
Food Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Food Resource ◽  
Human Beings ◽  
Temporal Perspective ◽  
Nutrition Intake ◽  
Per Capita ◽  
Urban And Rural Areas

Food resource is an important bond that connects human beings and nature. In this study, we investigated the changes in food consumption and nutrition intake in Kazakhstan from a spatial and temporal perspective, from 2001 to 2018. The data were obtained from the Bureau of Statistics, international organizations and our social interview work. After the start of the 21st century, it was found that per capita food consumption significantly increased; however, the consumption of crop, vegetables and milk decreased. Per capita meat consumption was similar in both urban and rural areas. However, some food consumption showed differences between urban and rural areas. Changes of food consumption quantity and structure also had some effects on nutrient intake and the proportion of nutrients. Per capita energy intake in the national, urban and rural areas all increased remarkably. The energy intake changes in eastern states increased much more than that in western states. Protein intake in rural and urban areas was similar; however, the gap between carbohydrates and fat intake in urban and rural areas increased. The intake of protein, carbohydrates and fat in different states showed the same trend. Food consumption and nutrition intake are affected by economic, social and ecological factors.

scholarly journals Seasonality and household diets in Ethiopia

2015 ◽  
Vol 19 (10) ◽  
pp. 1723-1730 ◽  
Author(s):  
Kalle Hirvonen ◽  
Alemayehu Seyoum Taffesse ◽  
Ibrahim Worku Hassen
Keyword(s):  
Food Security ◽  
Energy Intake ◽  
Rural Areas ◽  
Urban Areas ◽  
Dietary Diversity ◽  
Rural Households ◽  
Household Level ◽  
Rural And Urban ◽  
Per Capita ◽  
Nationally Representative

AbstractObjectiveTo revisit seasonality by assessing how household diets vary across agricultural seasons in rural and urban Ethiopia. The role of seasonality on the sources and intake of energy (per capita) and household dietary diversity score (HDDS) was analysed.DesignThe use of nationally representative household-level data collected each month over one year to study the seasonal changes in the sources and intake of energy and HDDS.SettingEleven regions of Ethiopia, including rural and urban settings.SubjectsTotal of 27 835 households were interviewed between July 2010 and July 2011 in all eleven regions of the country. On average each month saw 2300 household interviews, yielding nationally representative data for each calendar month.ResultsFor rural households, the mean daily per capita energy intake was 10 288 kJ (2459 kcal) in February (post-harvest period) and lower in the lean season: 9703 kJ (2319 kcal) in June (P<0·05) and 9552 kJ (2283 kcal) in July (P<0·001). HDDS for rural households was highest in February (6·73) and lowest in June (5·98; P<0·001) but high again in July (6·57). Urban energy intake was also lower in the lean season but HDDS varied less by season. Considerable seasonal variation was also found in energy sources in rural areas, less so in urban areas.ConclusionsHousehold diets in Ethiopia remain subjected to significant seasonal stress. HDDS and food security measured using energy intake do not always agree. Preferably, HDDS and energy intake data should be used together to assess food security.

scholarly journals Dynamic Analysis and Prediction of Food Nitrogen Footprint of Urban and Rural Residents in Shanghai

2020 ◽  
Vol 17 (5) ◽  
pp. 1760
Author(s):  
Yuling Xia ◽  
Chengsong Liao ◽  
Dianming Wu ◽  
Yanzhuo Liu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Moving Average ◽  
Rural Residents ◽  
Urban And Rural Residents ◽  
Total Food ◽  
Development Goals ◽  
Per Capita ◽  
Urban And Rural Areas ◽  
N Management

The food nitrogen (N) footprint reflects the amount of reactive N emission and its impact on the environment as a result of food production and consumption to satisfy the basic food demands of an urban population. The N-Calculator model was used to estimate the food N footprint and its dynamic changes in Shanghai from 2000 to 2017, and the auto regressive integrated moving average (ARIMA) time series model was used to predict the food N footprint in Shanghai from 2018 to 2027. The results show that the food N footprint was higher in urban areas (15.3–18.8 kg N/capita/yr) than rural areas (12.6–17.4 kg N/capita/yr) of Shanghai from 2000 to 2017. The change in the food N footprint was consistent with changes in food consumption in urban and rural areas, and the total food N footprint of urban and rural residents was positively correlated with the per capita disposable income and population whereas it was negatively correlated with the Engel’s Coefficient and price index. It was predicted that the per capita food N footprint will gradually decrease in 2018–2027 in urban areas of Shanghai, but it will generally increase in the rural areas. This study will help to initiate policy interventions for sustainable N management and contribute to the achievement of key sustainable development goals (SDGs).

China’s Low-Carbon Urbanization Progress and Pathway

2015 ◽  
Vol 03 (04) ◽  
pp. 1550028
Author(s):  
Benfan LIANG ◽  
Jiahua PAN ◽  
Ying ZHANG ◽  
Yanchun MENG ◽  
Shouxian ZHU
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Great Influence ◽  
Low Carbon ◽  
Human Beings ◽  
High Carbon ◽  
Ecological Civilization ◽  
Urbanization Rate ◽  
Urban And Rural Areas

Low-carbon urbanization is the integration of urbanization and low carbonization. It is the low-carbon transformation of current urban areas, the new trend of developing model of urban and rural areas, which includes the low-carbon transition in production, living style, and ecological spaces, the low-carbon reform in economy, society, structure, and the developing model, as well as changing urban areas from high-carbon style to low-carbon style. The urbanization rate of China is almost the same with global average level, and is expected to reach 80% in 2050. Currently, urbanization replaces industrialization, becoming an important force influencing socio-economic development, climate and ecological environment changes, international relations, and political patterns. With a 2[Formula: see text]C rise in temperature, human beings have to face a series of risks brought by climate change. China’s large-scale urbanization is of great influence on others. In this context, it is necessary to take a scientific cognition of China’s urbanization process, clarifying urbanization developing pathway, turning carbon constraints into carbon bonus, avoiding high-carbon lock, and then to take opportunities in promoting economic structure under “new normal” conditions, accelerating the upgrade from urban civilization to ecological civilization, and to reach both 100-year goal and low-carbon developing goal, leading sustainable development globally.

scholarly journals Food Diversification in Java

2021 ◽  
Vol 3 (3) ◽  
pp. 382-389
Author(s):  
Roeskani Sinaga ◽  
Manuntun Parulian Hutagaol ◽  
Sri Hartoyo ◽  
Nunung Nuryartono
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Income Group ◽  
Food Prices ◽  
Capita Expenditure ◽  
Income Groups ◽  
Study Results ◽  
Household Members ◽  
Per Capita ◽  
Urban And Rural Areas

Differences in economic structure, differences in income levels, food price levels cause differences in household consumption patterns. This paper analyzes food diversification in Java. Households are grouped by income group to assess the level of food diversification of each group. Households whose income groups Q3 and Q4 have lower food diversification compared to households in groups Q1 and Q2. The study results show that the value of BI is greater than the value of MBI in both urban and rural areas. This indicates that the source of calories does not come from only one type of commodity. The increase in per capita expenditure does not increase food diversification (the dependent variable is BI) for households in groups Q1 and Q2, while it is positive for households in groups Q3 and Q4. Food prices generally affect diversification. An increase in the number of household members will reduce the level of diversification for Q1 households. In contrast, increasing the number of household members will increase food diversification for Q2, Q3 and Q4 households. The level of household diversification in urban areas is higher than in rural areas.

scholarly journals Food consumption and nutritional and biochemical status of 0·5–12-year-old Indonesian children: the SEANUTS study

2013 ◽  
Vol 110 (S3) ◽  
pp. S11-S20 ◽  
Author(s):  
Sandjaja Sandjaja ◽  
Basuki Budiman ◽  
Heryudarini Harahap ◽  
Fitrah Ernawati ◽  
Moesijanti Soekatri ◽  
...  
Keyword(s):  
Food Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Age Groups ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Dietary Intakes ◽  
Nutrition Survey ◽  
Double Burden ◽  
Urban And Rural Areas

Indonesia is currently facing the double burden of malnutrition. While undernutrition is still a major public health problem, the prevalence of overnutrition is increasing. The objective of the South East Asian Nutrition Survey (SEANUTS) was to provide up-to-date data on nutritional status, food consumption and biochemical parameters related to nutrition for children aged 0·5–12 years. The SEANUTS study in Indonesia was conducted in a nationwide representative sample of 7·211 children using multistage cluster sampling based on probability proportional to size, stratified for geographical location, in forty-eight out of 440 districts/cities. The results show that the growth (weight for age, height for age, weight for height and BMI for age) of Indonesian pre-school- and school-aged children is below the WHO standards. The older the children, the more the deviation from the WHO standard curves. Underweight was more prevalent in rural areas (28·9 v. 19·2 %) and overweight/obesity was observed to be more widespread in urban areas (5·6 v. 3·2 %). The prevalence varied with age groups and sexes. The overall prevalence of stunting was 25·2 and 39·2 % in urban and rural areas, respectively. The prevalence of anaemia was nearly 55 % in children aged 0·5–1·9 years and ranged from 10·6 to 15·5 % in children aged 2–12 years. Fe deficiency was observed in 4·1–8·8 % of the children. The percentage of children with dietary intakes of energy, protein, and vitamins A and C below the Indonesian RDA was high and differed across urban and rural areas and age groups.

scholarly journals Decomposition of Water Footprint of Food Consumption in Typical East Chinese Cities

2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin
Keyword(s):  
Food Consumption ◽  
Urban Areas ◽  
Water Footprint ◽  
Utilization Efficiency ◽  
Diet Shift ◽  
City Development ◽  
Intensity Effect ◽  
Consumption Level ◽  
Positive Effects ◽  
Per Capita

Water scarcity has put pressure on city development in China. With a particular focus on urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption in five East China cities (Beijing, Tianjin, Shanghai, Qingdao, and Xiamen) from 2008 to 2018. Results show that the WFP of food consumption exhibited an upward tendency among all cities during the research period. Food consumption structure contributed the most to the WFP growth, mainly due to urban and rural residents’ diet shift toward a livestock-rich style. Except in Beijing, the food consumption level mainly inhibited the WFP growth due to the decrease in food consumption level per capita in urban areas. Urbanization had less influence on WFP growth for two megacities (Beijing and Shanghai) due to the strictly controlled urban population inflow policy and more positive effects for other cities. The water footprint intensity effect among cities was mainly due to uneven water-saving efficiency. Meanwhile, Beijing and Tianjin have achieved advancement in water utilization efficiency.

scholarly journals Patterns of Alcohol Consumption in the PURE Poland Cohort Study and Their Relationship with Health Problems

2021 ◽  
Vol 18 (8) ◽  
pp. 4185
Author(s):  
Katarzyna Zatońska ◽  
Piotr Psikus ◽  
Alicja Basiak-Rasała ◽  
Zuzanna Stępnicka ◽  
Maria Wołyniec ◽  
...  
Keyword(s):  
Cohort Study ◽  
Alcohol Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Level Of Education ◽  
Adult Participants ◽  
Frequent Consumption ◽  
Urban And Rural Areas ◽  
Socio Demographic Factors ◽  
High Level

(1) Background: Alcohol is a leading risk factor of premature morbidity and mortality. The objective of this study was to investigate the patterns of alcohol consumption in the PURE Poland cohort study baseline. (2) Methods: A Polish cohort was enrolled in the baseline study in 2007–2010. The study group consisted of 2021 adult participants of urban and rural areas from the Lower Silesia voivodeship in Poland (747 men and 1274 women). (3) Results: In the overall study population, 67.3% were current drinkers, 10.3% were former drinkers, and 22.4% were abstainers. Current use of alcohol products was more prevalent in men (77.2%), people living in urban areas (73.0%), and people with a higher level of education (78.0%). The percentage of current drinkers decreased with increasing age (from 73.4% in 30- to 44-year-olds to 48.8% in participants aged 64 and more). The majority of participants (89.2%) declared a low level of alcohol intake. The chance of high level of intake of alcohol was four times higher in men than in women (OR 4.17; CI 1.64–10.6). The majority of participants (54.6%) declared most frequent consumption of low-alcohol drinks (beer, wine) and 21% declared most frequent consumption of spirits. Current drinkers had almost 1.5-fold higher odds of diabetes and cardiovascular diseases (CVD) than never drinkers (OR 1.49, CI 1.03–2.17; OR 1.66, CI 1.27–2.18, respectively). Former drinkers had higher odds for hypertension and CVD than never drinkers (1.73, CI 1.05–2.85; OR 1.76, CI 1.22–2.53, respectively). (4) Conclusions: In our cohort study, we observed several socio-demographic factors differentiating the patterns of alcohol consumption. The preventive programs should focus predominantly on men, people aged <45 years, and those with a higher level of education.

The Rural-Urban Continuum of Polarization: Understanding the Geography of the 2018 Midterms

The Forum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kenneth M. Johnson ◽  
Dante J. Scala
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Metropolitan Areas ◽  
Political Attitudes ◽  
The United States ◽  
Rural America ◽  
Rural Regions ◽  
Urban America ◽  
Urban And Rural Areas ◽  
The Continuum

Abstract This study of the 2018 congressional midterms demonstrates how voting patterns and political attitudes vary across a spectrum of urban and rural areas in the United States. Rural America is no more a monolith than is urban America. The rural-urban gradient is better represented by a continuum than a dichotomy. This is evident in the voting results in 2018, just as it was in 2016. We found that the political tipping point lies beyond major metropolitan areas, in the suburban counties of smaller metropolitan areas. Democrats enjoyed even greater success in densely populated urban areas in 2018 than in 2016. Residents of these urban areas display distinctive and consistent social and political attitudes across a range of scales. At the other end of the continuum in remote rural areas, Republican candidates continued to command voter support despite the challenging national political environment. Voters in these rural regions expressed social and political attitudes diametrically opposed to their counterparts in large urban cores.

scholarly journals Breastfeeding practice in China from 2013 to 2018: a study from a national dynamic follow-up surveillance

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Leni Kang ◽  
Juan Liang ◽  
Chunhua He ◽  
Lei Miao ◽  
Xiaohong Li ◽  
...  
Keyword(s):  
Psychological Health ◽  
Rural Areas ◽  
Urban Areas ◽  
Child Nutrition ◽  
Central Area ◽  
Mother And Child ◽  
Physical And Psychological Health ◽  
Urban And Rural Areas ◽  
Log Linear ◽  
Breastfeeding Practice

Abstract Background Breastfeeding is important for the physical and psychological health of the mother and child. Basic data on breastfeeding practice in China are out-of-date and vary widely. This study aimed to evaluate the progress of breastfeeding practice in China, as well as to explore the bottlenecks in driving better practice. Methods This was an observational study. We used data from the Under-5 Child Nutrition and Health Surveillance System in China for the period 2013–2018. The prevalence of early initiation of breastfeeding (EIBF) and exclusive breastfeeding (EBF) were calculated for each year for subgroups of China. The Cochran-Armitage test was used to explore the time trends. The annual percent of change (APC) were calculated by log-linear regression followed by exp transformation. Results The prevalence of EIBF increased significantly from 44.57% (95% CI: 44.07, 45.07) in 2013 to 55.84% (95% CI: 55.29, 56.38) in 2018 (Ptrend < 0.001), with an APC of 4.67% (95% CI: 3.51, 5.85). And the prevalence of EBF increased rapidly from 16.14% (95% CI: 15.10, 17.18) to 34.90% (95% CI: 33.54, 36.26) (Ptrend < 0.001), with an APC of 14.90% (95% CI: 9.97, 20.04). Increases were observed in both urban and rural areas, with urban areas showing greater APCs for EIBF (6.05%; 95% CI: 4.22, 7.92 v.s. 2.26%; 95% CI: 1.40, 3.12) and EBF (18.21%; 95% CI: 11.53, 25.29 v.s. 9.43%; 95% CI: 5.52, 13.49). The highest EBF prevalence was observed in the East, but the Central area showed the highest APC. The prevalence of EBF decreased with increasing age within the first 6 months, especially after 3 months. Conclusion The prevalence of both EIBF and EBF in China are improving in recent years. The rural and West China could be the key areas in the future actions. More efforts should be made to protect and promote breastfeeding to achieve near- and long-term goals for child health.

scholarly journals Green and Blue Space Availability and Self-Rated Health among Seniors in China: Evidence from a National Survey

2021 ◽  
Vol 18 (2) ◽  
pp. 545
Author(s):  
Chensong Lin ◽  
Longfeng Wu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Empirical Studies ◽  
National Level ◽  
The Elderly ◽  
Coverage Ratio ◽  
Self Rated Health ◽  
Health Promoting ◽  
Major River ◽  
Urban And Rural Areas

Many empirical studies have shown evidence of multiple health benefits provided by green and blue spaces. Despite the importance of these spaces, investigations are scarce in details for blue spaces rather than green. Moreover, most research has focused on developed regions. A limited number of studies on blue spaces can be found in China with a focus on the city level. Outcomes have been mixed due to varying research scales, methodologies, and definitions. This study relies on a national-level social survey to explore how the self-rated health (SRH) of senior individuals is associated with local green and blue space availability in urban and rural areas. Results indicate that the coverage ratio of overall green spaces and waterbodies around a resident’s home have marginal effects on SRH status in both urban and rural areas. In urban areas, living close to a park can is marginally beneficial for older people’s health. Regarding different types of blue spaces, the presence of a major river (within 0.3–0.5 km) or coastline (within 1 km and 1–5 km) in the vicinity of home negatively affects SRH among the elderly in urban areas. Close proximity to lakes and other types of waterbodies with a water surface larger than 6.25 ha did not significantly influence SRH. These findings not only evaluate general health impacts of green/blue space development on senior populations across the county but inform decision makers concerning the health-promoting qualities and features of different green/blue spaces to better accommodate an aging population in the era of urbanization.

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