scholarly journals A latent growth curve modelling approach to seasonal and spatial dynamics of food security heterogeneities in rural Lake Naivasha Basin, Kenya

Food Security ◽  
2021 ◽  
Author(s):  
Maria Sassi ◽  
Gopal Trital
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Growth Curve ◽  
Spatial Dynamics ◽  
Latent Growth Curve ◽  
Household Food Security ◽  
Lake Naivasha ◽  
Latent Growth ◽  
Commercial Agriculture ◽  
Temporal And Spatial

AbstractThe increasing complexity of food insecurity, malnutrition, and chronic poverty faced by Sub-Saharan Africa warrants urgent categorisation and tracking of household food security along both temporal and spatial dimensions. This will help to effectively target, monitor and evaluate population-level programs and specific interventions aimed at addressing food insecurity. Traditional longitudinal analysis does not address the dynamics of inter- and intrahousehold heterogeneities within the seasonal and spatial context of household-level food security. This study is the first to overcome such limitations by adopting a multi-group piecewise latent growth curve model in the analysis of the food security situation in a statistically representative sample of 601 households involved in subsistence and cut-flower commercial agriculture, around Lake Naivasha. We considered food security as a latent concept, which manifests as food security outcomes in our primary longitudinal dataset from March 2018 to January 2019. Our analysis highlights the temporal and spatial dynamics of food security and advances new evidence on inter- and intrahousehold heterogeneities in food security across different seasons for the subsistence and commercial farming clusters. These heterogeneities were demonstrated primarily during the hunger season from March to June, and persisted in both the clusters and across months, albeit with different intensities. Moreover, our results indicate the importance of commercial agriculture in achieving food security in the hunger season. Our study suggests the need of a multidisciplinary approach to food security and the introduction of well-coordinated interventions for the development of subsistence and commercial agriculture considering the seasonal and cluster-level specificities.

Problem gambling symptomatology and alcohol misuse among adolescents: A parallel-process latent growth curve model.

2017 ◽  
Vol 31 (4) ◽  
pp. 447-456 ◽  
Author(s):  
Seema Mutti-Packer ◽  
David C. Hodgins ◽  
Nady el-Guebaly ◽  
David M. Casey ◽  
Shawn R. Currie ◽  
...  
Keyword(s):  
Problem Gambling ◽  
Growth Curve ◽  
Alcohol Misuse ◽  
Parallel Process ◽  
Latent Growth Curve ◽  
Growth Curve Model ◽  
Latent Growth ◽  
Latent Growth Curve Model ◽  
Curve Model

Latent Growth Curve Modeling of the Development of Leadership Performance

2006 ◽  
Author(s):  
Rosalie J. Hall ◽  
Robert G. Lord ◽  
Hsien-Yao Swee ◽  
Barbara A. Ritter ◽  
David A. DuBois
Keyword(s):  
Growth Curve ◽  
Growth Curve Modeling ◽  
Latent Growth Curve Modeling ◽  
Latent Growth Curve ◽  
Latent Growth ◽  
Leadership Performance ◽  
Curve Modeling

Mental health outcomes in military veterans: A latent growth curve model.

2018 ◽  
Vol 24 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Justin T. McDaniel ◽  
Kate H. Thomas ◽  
David L. Albright ◽  
Kari L. Fletcher ◽  
Margaret M. Shields
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Growth Curve ◽  
Military Veterans ◽  
Latent Growth Curve ◽  
Mental Health Outcomes ◽  
Growth Curve Model ◽  
Latent Growth ◽  
Latent Growth Curve Model ◽  
Curve Model

Decreased COVID-related adaptive behavior and increased negative affect: A multivariate latent growth curve model

2021 ◽  
pp. 135910532110216
Author(s):  
Hai-Ping Liao ◽  
Xiao-Fu Pan ◽  
Xue-Qin Yin ◽  
Ya-Fei Liu ◽  
Jie-Yang Li ◽  
...  
Keyword(s):  
Negative Affect ◽  
Adaptive Behavior ◽  
Growth Curve ◽  
Initial Level ◽  
Behavioral Changes ◽  
Latent Growth Curve ◽  
Growth Curve Model ◽  
Latent Growth ◽  
Latent Growth Curve Model ◽  
Curve Model

Data from a longitudinal questionnaire investigation of three time waves were used to investigate affective and behavioral changes and their covariant relationship among Chinese general population during the COVID-19 pandemic from March to May 2020. 145 participants aging from 15 to 63 completed three waves of survey. Latent growth curve analyses found that negative affect gradually increased as the pandemic continued. A faster increase in negative affect was related to a greater decrease in adaptive behavior and faster increase in non-adaptive behavior. A higher initial level of negative affect was related to a slower increase in non-adaptive behavior.

scholarly journals High food insecurity in Latinx families and associated COVID-19 infection in the Greater Bay Area, California

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
San Francisco ◽  
Employment Status ◽  
The United States ◽  
Household Food Security ◽  
Bay Area ◽  
Household Food ◽  
History Of ◽  
The Impact

Abstract Background Food insecurity impacts nearly one-in-four Latinx households in the United States and has been exacerbated by the novel coronavirus or COVID-19 pandemic. Methods We examined the impact of COVID-19 on household and child food security in three preexisting, longitudinal, Latinx urban cohorts in the San Francisco Bay Area (N = 375 households, 1875 individuals). Households were initially recruited during pregnancy and postpartum at Zuckerberg San Francisco General Hospital (ZSFG) and UCSF Benioff prior to the COVID-19 pandemic. For this COVID-19 sub-study, participants responded to a 15-min telephonic interview. Participants answered 18 questions from the US Food Security Food Module (US HFSSM) and questions on types of food consumption, housing and employment status, and history of COVID-19 infection as per community or hospital-based testing. Food security and insecurity levels were compared with prior year metrics. Results We found low levels of household food security in Latinx families (by cohort: 29.2%; 34.2%; 60.0%) and child food security (56.9%, 54.1%, 78.0%) with differences between cohorts explained by self-reported levels of education and employment status. Food security levels were much lower than those reported previously in two cohorts where data had been recorded from prior years. Reported history of COVID-19 infection in households was 4.8% (95% Confidence Interval (CI); 1.5–14.3%); 7.2% (95%CI, 3.6–13.9%) and 3.5% (95%CI, 1.7–7.2%) by cohort and was associated with food insecurity in the two larger cohorts (p = 0.03; p = 0.01 respectively). Conclusions Latinx families in the Bay Area with children are experiencing a sharp rise in food insecurity levels during the COVID-19 epidemic. Food insecurity, similar to other indices of poverty, is associated with increased risk for COVID-19 infection. Comprehensive interventions are needed to address food insecurity in Latinx populations and further studies are needed to better assess independent associations between household food insecurity, poor nutritional health and risk of COVID-19 infection.

scholarly journals AB0657 PERCEIVED STRESS AND FOOD INSECURITY IN PREGNANT AND POSTPARTUM WOMEN WITH RHEUMATIC DISEASES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1360.3-1361
Author(s):  
L. G. Espinosa Banuelos ◽  
P. R. Ancer Rodríguez ◽  
M. G. Herrera López ◽  
C. M. Skinner Taylor ◽  
L. Pérez Barbosa ◽  
...  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Perceived Stress ◽  
Rheumatic Diseases ◽  
Household Food Security ◽  
Postpartum Women ◽  
Depression And Anxiety ◽  
Perceived Stress Scale ◽  
Stress Scale ◽  
Household Food

Background:The SARS-CoV-2 pandemic has directly impacted the psychological and physical health of individuals worldwide, as well as the global economy. Food insecurity rates have risen especially in vulnerable countries like Mexico. Furthermore, social isolation and economic uncertainty have multiplied depression and anxiety disorders. Pregnant and postpartum women are particularly vulnerable to food insecurity, increased stress, depression, and anxiety.Objectives:The aim of this study is to determine the perception of food insecurity (FI) and perceived stress in pregnant and postpartum women with rheumatic disease during the SARS-CoV-2 pandemic.Methods:An observational, cross-sectional and descriptive study was conducted. Patients from to the pregnancy and rheumatic diseases clinic of the University Hospital “Dr. José E. González” in Northeast Mexico evaluated between August to October 2020 were included. The Spanish validated versions of the Household Food Security Access Scale (HFIAS) and the Perceived Stress Scale (PSS-10) were applied by telephonic interview. The WHO recommendations were employed to determine the appropriate intake for each food group in a week. The Kolmogorov-Smirnov test was used to determine normality of the data. The Spearman correlation coefficient and the Kruskal-Wallis test were used for statistical analysis.Results:A total of 29 women were included. Six (20.6%) women were found to have moderate or severe degrees of food insecurity. In addition, 12 (40.30%) perceived moderate and severe levels of stress in the PSS-10. No relationship was found between food insecurity and perceived stress (p= 0.059). The food groups that exceeded the recommended weekly frequency were oils and sugars exceeded 3.9 and 2.9 frequencies, respectively.Conclusion:We found that 20.6% women suffered household food insecurity and 40.3% suffered moderate and severe levels of stress. No relationship was found between food insecurity with the HIFAS scale and perceived stress measures with the PSS-10. We found that oils and sugars exceeded more by the double of the recommended frequency per week.References:[1]Pérez-Escamilla R, Cunningham K, Moran VH. COVID-19 and maternal and child food and nutrition insecurity: a complex syndemic. Matern Child Nutr. 2020;16(3):e13036. doi:10.1111/mcn.13036[2]Adams EL, Caccavale LJ, Smith D, Bean MK. Food Insecurity, the Home Food Environment, and Parent Feeding Practices in the Era of COVID-19. Obesity (Silver Spring). 2020;28(11):2056-2063. doi:10.1002/oby.22996Table 1.Socio-demographic characteristics and scale results.Age, years, mean (SD)27.5 (7.03)Diagnosis, n (%)RA16 (55.1)SLE7 (24.4)Others6 (20.6)Results per scalesHFIAS, n (%)No risk13 (44.8)Mild10 (34.4)Moderated3 (10.3)Severe3 (10.3)EPP-10, n (%)Mild17 (58.6)Moderated9 (31.0)Severe3 (10.3)SD: standard deviation, RA: Rheumatoid arthritis, SLE: Systemic lupus erythematosus, HFIAS: Household food security access component scale, EPP-10: Perceived stress scale 10 items.Disclosure of Interests:None declared.

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