| Literature DB >> 34096489 |
Gizem Deniz Bulucu Büyüksoy1, Aslıhan Çatıker2, Kamuran Özdil3.
Abstract
OBJECTIVE: The aim of this study was to examine the incidence of food insecurity and affecting factors in households with children in Turkey during the coronavirus disease 2019 (COVID-19) pandemic.Entities:
Keywords: COVID-19; food insecurity; food supply; pandemics; socioeconomic factors
Year: 2021 PMID: 34096489 PMCID: PMC8314062 DOI: 10.1017/dmp.2021.172
Source DB: PubMed Journal: Disaster Med Public Health Prep ISSN: 1935-7893 Impact factor: 1.385
Characteristics of the individuals interviewed in the household (n = 211)
| Characteristics |
| % |
|---|---|---|
| Age, y (mean ± SD) 33.81 ± 7.76 | ||
| Family role | ||
| Mother | 162 | 76.8 |
| Father | 36 | 17.1 |
| Other | 13 | 6.2 |
| Gender | ||
| Women | 174 | 82.5 |
| Men | 37 | 17.5 |
| Marital status | ||
| Married | 193 | 91.5 |
| Single | 18 | 8.5 |
| Educational status | ||
| Graduate | 18 | 8.5 |
| Undergraduate | 85 | 40.3 |
| High school | 52 | 24.6 |
| Middle school | 40 | 19.0 |
| Primary school | 16 | 7.6 |
| Social Security | ||
| Presence | 170 | 80.6 |
| Absence | 41 | 19.4 |
| Occupation | ||
| Civil servant | 61 | 28.9 |
| Tradesman | 15 | 7.1 |
| Self-employment | 13 | 6.2 |
| Worker | 17 | 8.1 |
| Housewife | 97 | 46.0 |
| Student | 8 | 3.8 |
Descriptive characteristics of the household (n = 211)
| Characteristics |
| % |
|---|---|---|
| Number of individuals living in the household | ||
| Three or four | 159 | 75.4 |
| Five and more | 52 | 24.6 |
| Access to clean drinking water | ||
| Yes | 168 | 79.6 |
| Sometimes | 9 | 4.3 |
| No | 34 | 16.1 |
| Number of children living in the household | ||
| 1-2 | 182 | 86.3 |
| 3-4 | 29 | 13.7 |
| Number of employee in the household | ||
| None | 9 | 4.3 |
| 1 | 138 | 65.4 |
| 2-10 | 64 | 30.3 |
| Number of unemployed in the household | ||
| None | 87 | 41.2 |
| 1 | 80 | 37.9 |
| 2-10 | 44 | 20.9 |
| Occupation of employees in the household ( | ||
| Civil servant/tradesman | 98 | 48.5 |
| Self-employment/worker | 104 | 51.5 |
| Has anyone been laid off in the pandemic? | ||
| Yes | 33 | 15.6 |
| No | 178 | 84.4 |
| Has there been a decrease in household monthly income during the pandemic process? | ||
| Yes | 117 | 55.5 |
| No | 94 | 44.5 |
| Change in money spent on food in the pandemic | ||
| Increased | 102 | 48.3 |
| Not changed | 56 | 26.5 |
| Decreased | 53 | 25.1 |
| Household monthly income | ||
| Above the poverty line | 41 | 19.4 |
| Below the poverty line | 170 | 80.6 |
| Has there been any health problem in the past 6 months? | ||
| Yes | 67 | 31.8 |
| No | 144 | 68.2 |
| Experienced health problems more than 1 answer ( | ||
| Common cold | 26 | 38.9 |
| Chronic illness [ | 18 | 26.9 |
| COVID-19 | 15 | 22.3 |
| Psychological problems | 11 | 16.4 |
| Waist-leg-muscle pain | 7 | 10.4 |
| Excessive weight gain | 4 | 6.0 |
Type II Diabetes and Hypertension Attack, Cardiovascular Disease
Figure 1.Distribution of food insecurity.
Figure 2.Distribution of households by type and frequency of some essential nutritients consumption in the last six months.
Variables predicting food insecurity multivariate regression analysis (n = 211)
| Variables predicting food insecurity | B | SE |
| t |
| 95% CI | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Occupation of employees in the household | 2.529 | 0.812 | 0.215 | 3.116 |
| 0.929 | 4.129 |
| Has there been a decrease in household monthly income during the pandemic process? | 3.131 | 0.837 | 0.266 | 3.743 |
| 1.482 | 4.781 |
| Change in money spent on food in the pandemic | 0.203 | 0.494 | 0.029 | 0.410 | 0.682 | -0.771 | 1.177 |
| Household monthly income | 2.001 | 1.010 | 0.135 | 1.982 |
| 0.010 | 3.993 |
| Has anyone been laid off in the pandemic? | 0.366 | 1.159 | 0.023 | 0.316 | 0.752 | -1.919 | 2.651 |
Note: Values in boldface are considered significant. R 2 = 0.239; P < 0.001.