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1.
Nutrients ; 14(14)2022 Jul 18.
Article in English | MEDLINE | ID: mdl-35889896

ABSTRACT

Hunger and food insecurity has worsened due to the COVID-19 pandemic. The types of food environments (e.g., natural/built) that people can access may improve household resilience to food-system shocks. This paper examines (1) urban and rural differences in the perceived influence of the COVID-19 pandemic on agricultural, livelihoods, food environment attributes, diets; and (2) whether access to different food environments was associated with food security. A two-part telephonic survey (COVID-19 Surveillance Community Action Network Food Systems Tool and Household Food Insecurity Access Scale) was conducted in Western Kenya (n = 173) and an informal settlement in Nairobi (n = 144) in January/February 2021. Limitations on the acquisition of farm inputs and movement restrictions had an adverse impact on agriculture and food sales. Urban residents reported a more significant impact on livelihoods (97% vs. 87%, p < 0.001), with day laborers being the most impacted. Rural respondents reported access to significantly more food environments and lower food insecurity. Multiple linear regression analysis revealed that younger respondents, ≤1 income source, had more difficulty acquiring food, decreased access to cultivated environments, and increased access to informal markets were predictors for higher food insecurity. These data indicate that access to specific types of food environments may improve household resilience.


Subject(s)
COVID-19 , Food Supply , COVID-19/epidemiology , Food Security , Humans , Kenya/epidemiology , Pandemics
2.
BMC Public Health ; 14: 1212, 2014 Nov 24.
Article in English | MEDLINE | ID: mdl-25420458

ABSTRACT

BACKGROUND: In developing countries where access to water and food is not guaranteed, women may have to travel long distances or engage in intense physical activities to gather food. This may compromise their water requirements and overall nutritional status. The aim of the study was to determine water turnover, physical activity and body composition among women in Kenya and to describe the differences between rural and urban Kenyan women. METHODS: Thirty women from Narok County who were not pregnant at the time of the study were recruited. Body mass index (BMI) was calculated by dividing weight in kilograms by height in meters squared. Deuterium dilution was used to determine total body water (TBW) and water turnover was measured from deuterium elimination. Fat-free mass (FFM) was calculated by assuming a constant hydration fraction of 73.2%. Accelerometers (Actigraph GT3X) were used to assess physical activity and expressed as Vector magnitude counts per day (VM/day). Simple and multiple linear regressions were used to define the determinants of water turnover. RESULTS: Mean BMI was 23.4 ± 4.1 and 21.5 ± 3.8 among rural and urban women respectively. The prevalence of overweight (BMI > 25 kg/m(2)) was 24.1% and of underweight (BMI < 18.4 kg/m2)) was 25%. The mean total body water (TBW) was 29.3 ± 4.2 liters (L) and water turnover was 3.2 ± 0.8 liters per day (L/day). Water loss was positively associated with BMI (R(2) = .45, p < 0.001, n = 28) and Fat mass index (FMI) (R(2) = .41, p < 0.001, n = 28). Water loss was also positively associated with physical activity (PA) (R(2) = .25, p < 0.05, n = 22). Multiple regression analysis showed that physical activity in addition to BMI in the model explained an additional 15% of the variation in water turnover (r(2) = 0.53, p < 0.05; ∆r(2) = 0.15, p < 0.05, n = 22) compared to BMI alone (r(2) = 0.38, p < 0.005 n = 22). CONCLUSION: BMI together with physical activity were the strongest predictors of water loss.


Subject(s)
Body Weight , Exercise , Health Behavior , Obesity/epidemiology , Adult , Body Composition , Body Mass Index , Female , Humans , Kenya/epidemiology , Middle Aged , Nutritional Status , Regression Analysis , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data
3.
Food Nutr Bull ; 35(2): 167-78, 2014 Jun.
Article in English | MEDLINE | ID: mdl-25076764

ABSTRACT

BACKGROUND: Stunting and overweight are nutritional problems affecting most of sub-Saharan Africa. The region now has the world's highest rate of stunting among children (43%), while overweight and obesity are becoming a global epidemic, and Africa is not spared. The past two decades have seen a dramatic increase in obesity in sub-Saharan Africa. OBJECTIVE: The purpose of this systematic review is to explore the determinants of stunting and overweight in sub-Saharan Africa. METHODS: A literature search was conducted in PubMed using the key words stunting, overweight, obesity, Africa, sub-Saharan Africa, determinants, and prevalence. Limits were set to include articles published between 1990 and 2012. The systematic review resulted in 38 studies, and after selection based on title, content, and country of the study, 18 studies were eligible for this review. Data were analyzed by the chi-square test. RESULTS: The prevalence rates of stunting and overweight were dependent on socioeconomic, demographic, and environmental factors. Many studies indicate that male children and those living in a rural setting are more likely to be stunted, whereas overweight among children depends more on age, household composition, occupation of the mother, and the mother's body mass index. Stunting occurred together with overweight among both boys and girls from 1 to 5 years of age. Stunting was more prevalent among boys than among girls. Indicators of socioeconomic status, such as mother's education, mother's occupation, and household income, were some of the determinants directly linked to stunting, whereas environmental factors, such as rural or urban setting and sanitation, influenced both stunting and overweight. Concurrent stunting and overweight is influenced by maternal and household factors, such as maternal height, age, and education, large household size, and lower socioeconomic status. CONCLUSIONS: Although socioeconomic, demographic, and environmental factors were significant in determining stunting and overweight, other factors, such as nutrition and lifestyle, were important risk factors. Stunting in childhood is a risk factor that may result in overweight and obesity later in adolescence and adulthood, indicating the need to screen children below 1 year of age to identify stunting early in life. Promoting exclusive breastfeeding is reported to be important in preventing both stunting and overweight among children. More research is needed to explore the relationship between stunting and overweight and to explore policy guidelines to address the phenomenon.


Subject(s)
Growth Disorders/epidemiology , Overweight/epidemiology , Adolescent , Africa South of the Sahara/epidemiology , Child , Child, Preschool , Educational Status , Family Characteristics , Female , Humans , Infant , Infant, Newborn , Life Style , Male , Mothers , Nutrition Policy , Nutritional Status , Risk Factors , Rural Population , Social Class , Urban Population
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