| Literature DB >> 35377892 |
Fatmah Fatmah1, Nur Asiah2, Etty Rekawati3.
Abstract
Most undernourished preschool-aged children have low hemoglobin and albumin levels, which leads to a higher risk of infections, including COVID-19. This study was designed to determine whether potato almond orange cookies increase weight, hemoglobin, and albumin) in undernourished preschool-aged children during the COVID-19 pandemic. A pre-post intervention study was conducted with 30 subjects during 8 weeks in which hemoglobin and albumin levels were recorded at the beginning and end. Education on balanced nutrition was provided to mothers using leaflets, flipcharts, and videos. The results showed increases in weight (0.4 kg), height (1.98 cm), hemoglobin level (0.1 g/dL), and albumin level (0.1 g/dL) accompanied by a significant increase in weight, height, and the Z-score index for weight for age, whereas those for Hb and albumin levels were not. Energy, carbohydrate, fat, vitamin C, vitamin E, and iron intake increased significantly. Further, there was a significant difference in mothers' knowledge of balanced nutrition and COVID-19 at the end of the study. Thus, high levels of cookie consumption increased the weight of underweight preschool-aged children. Future studies may wish to consider examining the issue using stunted, wasted, and anemic preschool-aged children as the research subjects.Entities:
Mesh:
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Year: 2022 PMID: 35377892 PMCID: PMC8979424 DOI: 10.1371/journal.pone.0266023
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Nutrient content per 50 g of almond potato orange cookie.
| Type of cookie | Energy (kcal) | Carbohydrate (g) | Protein (g) | Fat (g) | Vitamin C (mg) | Vitamin E (mg) | Fe (g) | Zn (g) |
|---|---|---|---|---|---|---|---|---|
| Almond potato orange | 237.7 | 28.8 | 3.5 | 12.1 | 0.25 | 2.5 | 1.5 | 1.1 |
Source: Saraswanti Laboratory Bogor, 2021.
Fig 1Research scheme.
Socio-demography and anthropometry characteristic of subjects.
| Variable | n% | Mean |
|---|---|---|
|
| ||
| Marital status | ||
| Married | 30 | 100.0 |
| Widow/widower | 0 | 0.0 |
| Mothers’ age (y.o) | 33.3 ± 6.2 (20–47) | |
| 20–29 | 6 | 20.0 |
| 30–39 | 19 | 63.3 |
| 40–46 | 5 | 16.7 |
| Mothers’ education | ||
| Graduated from junior high school or less | 17 | 56.7 |
| Graduated from senior high school | 10 | 33.3 |
| Academy / bachelor | 3 | 10.0 |
| Working status of mother | ||
| No | 28 | 93.3 |
| Yes (trader) | 2 | 6.7 |
| Working type of father | ||
| Private | 9 | 30.0 |
| Trader | 6 | 20.0 |
| Laborer | 6 | 20.0 |
| Government employee | 3 | 10.0 |
| No job | 6 | 20.0 |
| Residence status | ||
| Family (father, mother, children) | 22 | 73.3 |
| Join with another family | 8 | 26.7 |
|
| ||
| Gender | ||
| Female | 17 | 56.7 |
| Male | 13 | 43.3 |
| Age (months) | ||
| 11–23 | 7 | 23.3 |
| 24–35 | 8 | 26.7 |
| 36–47 | 7 | 23.3 |
| 48–57 | 8 | 26.7 |
| Ownership of birth certificate | ||
| Yes | 22 | 73.3 |
| No | 8 | 26.7 |
| Number of children under-five in family | ||
| One | 27 | 90.0 |
| Two | 3 | 10.0 |
| The person who most often takes care of toddlers | ||
| Mother | 21 | 70.0 |
| Father and mother | 4 | 13.3 |
| Mother and grandmother/aunt | 5 | 16.7 |
Mean changes in anthropometric characteristics of children under-five, knowledge of nutrition and COVID-19, feeding practices of children under-five, and macro and micro nutrient intake at pre-post study.
| Variable | p-value | ||
|---|---|---|---|
| Pre/before | Post/after | ||
|
| |||
| Weight (kg) | 10.6 ± 1.9 (6.5–14.0) | 10.9 ± 1.9 (7.5–14.4) | |
| Height (cm) | 85.9 ± 9.9 (62.2–101.6) | 87.9 ± 10.0 (64.5–104.0) | |
| Z-score (W/A) | -2.2 ± 0.8 (-3.8–0.4) | -1.65 ± 1.2 (- 4.5–2.3) | |
| Hemoglobin (g/dL) | 12.3 ± 1.6 (7.4–14.8) | 12.2 ± 1.7 (8.1–14.5) | 0.42 |
| Albumin (g/dL) | 4.8 ± 0.5 (3.6–6.0) | 4.9 ± 0.5 (4.0–5.9) | 0.35 |
| Score of balanced nutrition knowledge | 57.0 ± 15,5 (36.4–90.9) | 89.4 ±13.7 (54.6–100) | |
| Score of COVID-19 knowledge | 73.7 ± 13.5 (33.3–88.9) | 81.9 ± 11.8(44.4–88.9) | |
|
| |||
| Energy (cal) | 944.9±212.2 (493.0–1393.6) | 1117.3± 211.4 (620.0–1434.3) | |
| Carbohydrate (g) | 115.5 ± 34.6 (52.0–198.7) | 145.3 ± 33.8 (84.1–211.9) | |
| Protein (g) | 34.4 ± 10.3 (15.0–57.2) | 34.6 ± 7.3 (16.8–44.8) | 0.88 |
| Fat (g) | 37.8 ± 10.5 (16.3–66.0) | 43.8 ± 9.4 (25.0–60.0) | |
| Micronutrient intake | |||
| Vitamin C (mg) | 21.1 ± 23.5 (2.0–87.8) | 22.0 ± 15.2 (3.9–63.2) | 0.87 |
| Vitamin E (mg) | 3.3 ± 3.8 (0.0–22.4) | 4.8 ± 3.5 (1.6–22.4) | |
| Iron/ Fe (g) | 4.5 ± 2.6 (1.4–11.9) | 6.0 ± 2.2 (2.0–11.9) | |
* Dependent t test.
**p < 0.05.
Changes in weight, height, and Z-scores W/A based on socio-demographic characteristic, feeding practices, cookies consumption rate, adequacy level of % RDA for macro-micro nutrients, knowledge of balanced nutrition, and knowledge on COVID-19 at the end of study.
| Variable | n | p | p | p | p | p-value | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | ± | SD | Mean | ± | SD | Mean | ± | SD | Mean | ± | SD | Mean | ± | SD | ||||||||
| Feeding practice of children under-five at pre-study | ||||||||||||||||||||||
| Not good (< = mean) | 19 | 0.45 | ± | 0.55 | 0.564 | 1.97 | ± | 0.67 | 0.630 | 0.30 | ± | 0.43 | 0.353 | -0.04 | ± | 0.87 | 0.640 | -0.04 | ± | 0.33 | 0.822 | |
| Good (> mean) | 11 | 0.35 | ± | 0.34 | 1.81 | ± | 0.99 | 0.50 | ± | 0.61 | -0.18 | ± | 0.73 | -0.06 | ± | 0.30 | ||||||
| Feeding practice of children under-five at post-study | ± | |||||||||||||||||||||
| Not good (< = mean) | 13 | 0.18 | ± | 0.45 | 1.97 | ± | 0.82 | 0.740 | 0.06 | ± | 0.34 | -0.08 | ± | 0.87 | 0.771 | -0.05 | ± | 0.31 | 0.892 | |||
| Good (> mean) | 17 | 0.59 | ± | 0.44 | 1.87 | ± | 0.78 | 0.60 | ± | 0.49 | -0.17 | ± | 0.63 | -0.06 | ± | 0.33 | ||||||
| Level of cookie consumption during study (g) | ± | |||||||||||||||||||||
| Poor (< = 2,550) | 15 | 0.21 | ± | 0.43 | 2.06 | ± | 0.89 | 0.315 | 0.15 | ± | 0.42 | -0.12 | ± | 0.81 | 0,982 | -0.12 | ± | 0.30 | 0.243 | |||
| Good (> 2,500) | 15 | 0.61 | ± | 0.45 | 1.77 | ± | 0.67 | 0.59 | ± | 0.49 | -0.11 | ± | 0.78 | 0.01 | ± | 0.31 | ||||||
| Adequacy level of macronutrient RDA % | ± | |||||||||||||||||||||
|
| ± | |||||||||||||||||||||
| Poor (< 70%) | 6 | 0.50 | ± | 0.40 | 0.629 | 1.37 | ± | 0.39 | 0.055 | 0.47 | ± | 0.24 | 0.609 | 0.38 | ± | 0.65 | 0.080 | 0.15 | ± | 0.16 | 0.070 | |
| Good (> = 70%) | 24 | 0.39 | ± | 0.50 | 2.05 | ± | 0.80 | 0.35 | ± | 0.55 | -0.24 | ± | 0.77 | -0.10 | ± | 0.32 | ||||||
|
| ± | |||||||||||||||||||||
| Poor (< 70%) | 19 | 0.43 | ± | 0.54 | 0.789 | 1.87 | ± | 0.72 | 0.723 | 0.32 | ± | 0.47 | 0.528 | 0.21 | ± | 0.60 | 0.090 | 0.08 | ± | 0.14 | 0.256 | |
| Good (> = 70%) | 11 | 0.38 | ± | 0.37 | 1.98 | ± | 0.93 | 0.45 | ± | 0.58 | -0.67 | ± | 0.77 | -0.28 | ± | 0.39 | ||||||
|
| ||||||||||||||||||||||
| Good (> = 70%) | 30 | - | - | - | - | - | ||||||||||||||||
|
| ||||||||||||||||||||||
| Poor (< 70%) | 3 | 0.50 | ± | 0.61 | 0.747 | 1.50 | ± | 0.50 | 0.346 | 0.37 | ± | 0.25 | 1.000 | 0.47 | ± | 0.99 | 0.178 | 0.07 | ± | 0.15 | 0.487 | |
| Good (> = 70%) | 27 | 0.40 | ± | 0.48 | 1.96 | ± | 0.80 | 0.37 | ± | 0.53 | -0.18 | ± | 0.75 | -0.07 | ± | 0.32 | ||||||
| Adequacy level of micronutrient RDA % | ||||||||||||||||||||||
|
| ||||||||||||||||||||||
| Poor (< 70%) | 22 | 0.35 | ± | 0.45 | 0.203 | 1.91 | ± | 0.77 | 0.962 | 0.31 | ± | 0.53 | 0.274 | -0.11 | 0.78 | 0.973 | -0,04 | 0.30 | 0.721 | |||
| Good (> = 70%) | 8 | 0.60 | ± | 0.55 | 1.93 | ± | 0.89 | 0.54 | ± | 0.42 | -0.13 | 0.85 | -0,09 | 0.35 | ||||||||
|
| ||||||||||||||||||||||
| Poor (< 70%) | 14 | 0.30 | ± | 0.49 | 0,232 | 2.00 | ± | 0.82 | 0.581 | 0.28 | ± | 0.56 | 0.394 | -0.14 | 0.76 | 0.903 | -0,03 | 0.32 | 0.688 | |||
| Good (> = 70%) | 16 | 0.51 | ± | 0.47 | 1.84 | ± | 0.78 | 0.45 | ± | 0.46 | -0.10 | 0.83 | -0.08 | 0.31 | ||||||||
| Poor (< 70%) | 12 | 0.30 | ± | 0.49 | 0.298 | 2,21 | ± | 0.75 | 0.094 | 0.19 | ± | 0.46 | 0.114 | -0.19 | 0.88 | 0.676 | -0.11 | 0.36 | 0.434 | |||
| Good (> = 70%) | 18 | 0.49 | ± | 0.47 | 1,72 | ± | 0,77 | 0.49 | ± | 0.51 | -0.07 | 0.73 | -0.02 | 0.27 | ||||||||
| Level of improving balance nutrition knowledge | ||||||||||||||||||||||
| Poor | 13 | 0.38 | ± | 0.49 | 0.723 | 1.84 | ± | 0.80 | 0.656 | 0.42 | ± | 0.58 | 0.675 | -0.04 | ± | 0.91 | -0.03 | ± | 0.34 | |||
| Good | 17 | 0.44 | ± | 0.49 | 1.97 | ± | 0.79 | 0.34 | ± | 0.45 | -0.18 | ± | 0.69 | 0.640 | -0.07 | ± | 0.29 | 0.732 | ||||
| Level of improving COVID-19 knowledge | ||||||||||||||||||||||
| Poor | 12 | 0.43 | ± | 0.59 | 0.856 | 1.79 | ± | 0.88 | 0.498 | 0.49 | ± | 0.56 | 0.283 | -0.15 | ± | 0.83 | -0.03 | ± | 0.31 | 0.777 | ||
| Good | 18 | 0.40 | ± | 0.40 | 1.99 | ± | 0.73 | 0.29 | ± | 0.46 | -0,.9 | ± | 0.78 | 0,857 | -0.07 | ± | 0.32 | |||||
*Independent t-test.
** p<0.05.