| Literature DB >> 32231372 |
Razak M Gyasi1, Bernard Obeng2, Joseph Y Yeboah3.
Abstract
BACKGROUND: Hunger frequently and persistently occur in older populations in low-income countries especially in sub-Sahara Africa. The aim of this study was to examine the associations between food insecurity with hunger and psychological distress among older people in Ghana.Entities:
Year: 2020 PMID: 32231372 PMCID: PMC7108730 DOI: 10.1371/journal.pone.0229840
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Descriptive statistics of the study sample.
| Variable | Valid N | (%) | |
|---|---|---|---|
| Psychological distress score (mean score) | 9.54 | (±4.10) | |
| Never/rarely (No food insecurity) | 773 | (64.4) | |
| Sometimes (Moderate food insecurity) | 321 | (26.8) | |
| Most of the time/always (Severe food insecurity) | 106 | (8.8) | |
| Age (in years) (mean score) | 66.15 | (±11.85) | |
| Women | 759 | (63.3) | |
| Rural residence | 540 | (45.0) | |
| Married | 521 | (43.4) | |
| Household size (mean score) | 6.47 | (±5.25) | |
| Employed | 533 | (44.4) | |
| Income (in Ghana Cedis) (mean score) | 308.18 | (±338.89) | |
| Primary/none | 1034 | (86.2) | |
| Secondary | 104 | (8.7) | |
| Higher | 62 | (5.2) | |
| Social support (mean score) | 6.10 | (±2.68) | |
| Alcohol intake | 377 | (31.4) | |
| Physical activity (mean score) | 8.75 | (±4.43) | |
| Very good | 239 | (19.9) | |
| Good | 369 | (30.8) | |
| Fair | 348 | (29.0) | |
| Poor | 244 | (20.3) | |
| Diagnosed of chronic conditions | 636 | (53.0) | |
| Functionally impaired (mean score) | 13.70 | (±5.09) | |
The 10-item Kessler Psychological Distress Scale (K10) was used to quantify non-specific psychological disorders [20]
The associations between food insecurity with hunger and psychological distress score (10–50): Multivariate pooled linear analysis.
| Variable | Model 1 | Model 2 | |||
|---|---|---|---|---|---|
| β | ( | β | ( | ||
| Sometimes (Moderate food insecurity) | 0.946 | (0.136) | 0.705 | (0.160) | |
| Most of the time/always (Severe food insecurity) | 1.828 | (0.244) | 1.813 | (0.280) | |
| Age (in years) | -0.190 | (0.007) | |||
| Gender (ref: men) | 0.149 | (0.172) | |||
| Rural/urban residence (ref: rural) | -0.206 | (0.148) | |||
| Marital status (ref: married) | 0.637 | (0.159) | |||
| Household size | -0.005 | (0.014) | |||
| Employment status (ref: unemployed) | -0.215 | (0.161) | |||
| Income (in Ghana Cedis) | 0.185 | (0.178) | |||
| Level of education (ref: Primary/none) | |||||
| Secondary | -0.263 | (0.263) | |||
| Higher | -0.045 | (0.315) | |||
| Social support (ref: high) | -0.109 | (0.051) | |||
| Alcohol intake (ref: no) | 0.080 | (0.167) | |||
| Physical activity (ref: no) | -0.230 | (0.159) | |||
| Good | -0.062 | (0.209) | |||
| Fair | 0.283 | (0.214) | |||
| Poor | 0.914 | (0.243) | |||
| Chronic conditions (ref: no) | 0.155 | (0.147) | |||
| Functionally impaired | 0.270 | (0.189) | |||
| Adjusted R2 | 0.212 | ||||
Coefficients (β) are adjusted for clustering, and robust standard errors are presented in parentheses. The 10-item Kessler Psychological Distress Scale (K10) was used to quantify non-specific psychological disorders [20]. Model 1 was adjusted for age and gender only; Model 2 was adjusted for all potential confounders.
***p < 0.001
**p < 0.005
*p < 0.05.
The associations between food insecurity with hunger and psychological distress score (10–50): Multivariate gender- and age-based linear analysis.
| Gender | Age | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Women | Men | 50–64 years | ≥65 years | ||||||
| Variable | β | ( | β | ( | β | ( | β | ( | |
| Sometimes (Moderate food insecurity) | 0.736 | (0.198) | 0.747 | (0.294) | 0.848 | (0.221) | 0.506 | (0.243) | |
| Most of the time/always (Severe food insecurity) | 1.594 | (0.359) | 2.326 | (0.474) | 1.478 | (0.368) | 2.511 | (0.467) | |
| Adjusted R2 | 0.211 | 0.249 | 0.214 | 0.244 | |||||
Coefficients (β) are adjusted for clustering, and robust standard errors are presented in parentheses. All sub-group analyses were adjusted for age, gender, rural/urban locality, marital status, household size, employment status, income, level of education, social support, alcohol intake, physical activity, self-rated health, chronic conditions and functional impairment. The 10-item Kessler Psychological Distress Scale (K10) was used to quantify non-specific psychological disorders [20].
***p < 0.001
**p < 0.005
*p < 0.05