Food Insecurity Was Associated with Lower Fruits and Vegetables Consumption but Not with Overweight and Obesity in Children from Mexican Fishing Communities

Murillo-Castillo, Karla D.; Frongillo, Edward A.; Corella-Madueño, María Alba Guadalupe; Quizán-Plata, Trinidad

doi:10.1080/03670244.2020.1737042

Cited by 9 publications

(4 citation statements)

References 29 publications

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“…Among 534 young adults (18-25 years), individuals with greater SJL were related to a lesser intake of fruits and vegetables, even skipping breakfast [56]. Consuming a lower quantity of the recommended amount of vegetables and fruits increased the rise of overweight and obesity [57] as evidence suggests that bioactive compounds present in vegetables and fruits, containing carotenoids, polyphenols, and phytosterols, possibly have beneficial associations with the prevention of obesity and other diseases [58].…”

Section: Discussionmentioning

confidence: 99%

Sleep-Body Composition Relationship: Roles of Sleep Behaviors in General and Abdominal Obesity in Chinese Adolescents Aged 17–22 Years

Song,

Gong,

Lou

et al. 2023

Nutrients

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This study aimed to investigate the association between sleep behaviors and body composition, which was measured by bioelectrical impedance analysis (BIA) among Chinese adolescents. Overall, 444 students (65.3% females, 19.12 ± 1.177 years) completed questionnaires describing sleep characteristics. Sleep characteristics were derived from subjective means. Body composition was obtained from BIA by InBody 720 (Biospace Co. Ltd., Seoul, Republic of Korea). Regression models tested relationships between sleep and body composition after adjustment for covariates. Students with weekday nap duration (>30 min/d) exerted higher waist-height ratio (WHtR) (B = 0.013, FDR-corrected p = 0.080). Average sleep duration (≤7 h/d) was linked to more WHtR (B = 0.016, FDR-corrected p = 0.080). People with high social jetlag showed gained visceral fat area (B = 7.475), WHtR (B = 0.015), waist to hip ratio (B = 0.012), fat mass index (B = 0.663) and body fat percentage (B = 1.703) (all FDR-corrected p < 0.1). Individuals with screen time before sleep (>0.5 h) exhibited higher visceral fat area (B = 7.934, FDR-corrected p = 0.064), WHtR (B = 0.017, FDR-corrected p = 0.080), waist to hip ratio (B = 0.016, FDR-corrected p = 0.090), fat mass index (B = 0.902, FDR-corrected p = 0.069) and body fat percentage (B = 2.892, FDR-corrected p = 0.018). We found poor sleep characteristics were closely related to general and abdominal obesity.

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Section: Discussionmentioning

confidence: 99%

Sleep-Body Composition Relationship: Roles of Sleep Behaviors in General and Abdominal Obesity in Chinese Adolescents Aged 17–22 Years

Song,

Gong,

Lou

et al. 2023

Nutrients

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“…The degree of household food security was measured using the validated Mexican Scale EMSA [24]. This instrument has been used in previous studies in the Mexican population [4,25] and by CONEVAL, to measure FI and perceived food access [26]. The scale includes 12 questions with yes/no response options.…”

Section: Household Food Security Statusmentioning

confidence: 99%

Prevalence and Risk Factors of Food Insecurity among Mexican University Students’ Households

et al. 2021

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Household food insecurity (FI) remains a major public health challenge worldwide. Data about perceived FI and its risk factors in Mexican university students are lacking. We aimed to assess FI’s prevalence and factors affecting it among university students’ households in Mexico. This cross-sectional analysis involved 7671 university students’ households using the 2018 Mexican National of Household Income and Expenditure Survey data. Variables analyzed included sociodemographic characteristics, and the 12-item validated Mexican Scale for Food Security (EMSA). Multivariable logistic regression modelling was performed to identify FI risk factors. The overall household FI prevalence was 30.8%. According to FI severity, prevalence rates were 16.3% for mild-FI, 8.8% for moderate-FI, and 5.7% for severe-FI. Low socioeconomic status (OR = 2.72; 95%CI: 2.09–3.54), low education level of household’s head (OR = 2.36; 95%CI: 1.90–2.94), self-ascription to an indigenous group (OR = 1.59; 95%CI: 1.41–1.79), attending public university (OR = 1.27; 95%CI: 1.13–1.43), female-headed household (OR = 1.26; 95%CI: 1.13–1.40), having worked recently (OR = 1.19; 95%CI: 1.07–1.33), and being in second year of studies (OR = 1.17; 95%CI: 1.03–1.33), were significantly related to FI. Our results confirm that FI is highly prevalent among Mexican university students’ households and that sociodemographic factors are essential in addressing this concern. Findings highlight the need for preventive programs and policies to alleviate FI.

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“…�erefore, assisting the poor to improve their assets would ensure adequate and frequent consumption of fruits and vegetables which can prevent non-communicable diseases such as cancer and obesity (Yahia et al, 2019), and safeguard food and nutrition security (Murillo-Castillo et al, 2020).…”

Section: Interaction Effects Of Resilience Capacities With Price and ...mentioning

confidence: 99%

“…Policy makers have alternative instruments at their disposal for achieving a certain policy target. As food insecurity is often associated with unbalanced consumption of specific commodities (Murillo-Castillo et al, 2020), such policies need to target specific diet items. For instance, obesity is a nutritional disorder caused by excess consumption of foods that are high in fats or sugars.…”

Section: Introductionmentioning

confidence: 99%

Household resilience to food security shocks

Ansah

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Chapter 1 9 country is sufficient (Smith and Haddad, 2001). For instance, households in rural areas that are often poorly integrated with urban and regional markets are challenged by locally high food prices (Cudjoe et al., 2010). Such inflationary pressures erode consumer purchasing power for food, leading to consumption of less calories and less nutritious food (Ecker and Qaim, 2011;Warr, 2014).Constrained economic access to food acquisition, both in quality and quantity, contributes to 20% of the African population facing undernourishment (FAO/ECA/AUC, 2020). Poverty constrains economic access to food in developing countries (Smith et al., 2000;Van Wijk, 2002; WFP, 2012).The poor people lack economic resources and can hardly afford the quantity and variety of foods required for achieving food and nutrition security. Poverty compels households to select among food commodities that are all essential for balanced growth and development. World Bank (2020) reports that extreme poverty rates in Africa are rising, and about 40% of the sub-Saharan African population, which is equivalent to 433 million people in 2018, live below the extreme poverty line of US$ 1.90 a day. Shocks further compound these challenges associated with household food demand and stability. Shocks as key drivers of household food securityShocks threaten the achievement of all dimensions of food security. Consequently, economists pay substantial attention to shocks as critical causal factors of food insecurity (Akter and Basher, 2014;Alderman, 1996;Carter and Lybbert, 2012). A shock, defined in the context of this thesis, is an unexpected event which may disrupt the availability, access, stability, and utilization dimensions of household food security. Shocks affecting household food security vary in nature and scope. Shocks can either be idiosyncratic (affecting individual households) or covariate (affecting many households simultaneously). Échevin and Tejerina (2013) confirm that the scope of a shock determines the type of strategies that households use to cope with its effects.Households in shock-prone areas often experience multiple incidences of shocks which often create more difficulties for coping than single shock events (Heltberg et al., 2015). Lazzaroni and Wagner (2016) find that the interplay of climate variability and international price volatilities increases the vulnerabilities of farm households in the Sahel region. Confronting these myriads of shocks to safeguard household food security requires resilience in household food acquisition and consumption.General introduction 1 10 A common covariate shock pertinent to household food security discussions in developing countries is weather variability, manifested in the form of poor rainfall, drought, floods, or storms (FAO/IFAD/UNICEF/WFP/WHO, 2018). Weather shocks often lead to harvest failures. In East Africa, the World Meteorological Organization (2020) report that below-average rains in both the long and short rainy seasons led to about 12 million people experiencing severe foo...

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Food Insecurity Was Associated with Lower Fruits and Vegetables Consumption but Not with Overweight and Obesity in Children from Mexican Fishing Communities

Cited by 9 publications

References 29 publications

Sleep-Body Composition Relationship: Roles of Sleep Behaviors in General and Abdominal Obesity in Chinese Adolescents Aged 17–22 Years

Sleep-Body Composition Relationship: Roles of Sleep Behaviors in General and Abdominal Obesity in Chinese Adolescents Aged 17–22 Years

Prevalence and Risk Factors of Food Insecurity among Mexican University Students’ Households

Household resilience to food security shocks

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