| Literature DB >> 30641864 |
Nur Nabilla A Rahim1, Yit Siew Chin2,3, Norhasmah Sulaiman4,5.
Abstract
Considering the double burden of malnutrition in Malaysia, data on malnourished children living in welfare homes are limited. This study aimed to determine the body weight status of children living in welfare homes and its associated factors. A total of 307 children aged 7⁻17 years old living in 15 selected welfare homes completed a standardized questionnaire, and their body weight and height were measured by trained researchers. There were 54.4% orphans, 23.8% abandoned children, and 21.8% children from problematic families. There were 51.5% boys and 48.5% girls; 52.4% were Malays, followed by 31.3% Indians, 12.7% Chinese, and 3.6% from other ethnic groups. The prevalence of overweight and obesity (23.1%) was higher than the prevalence of thinness (8.5%). In bivariate analyses, socio-demographic factors of age (p = 0.003), sex (p = 0.0001), ethnicity (p = 0.001), and welfare home enrollment status (p = 0.003), and psychological factors of self-esteem (p = 0.003), body shape dissatisfaction (p = 0.0001), and underestimation of body weight status (p = 0.002), were significantly associated with body mass index (BMI)-for-age. In the multiple linear regression analysis, children who were either Malays (β = 0.492) or Chinese (β = 0.678), with a status of being abandoned (β = 0.409), with body shape dissatisfaction (β = 0.457), and underestimated body weight status (β = 0.628) significantly explained 39.7% of the variances in higher BMI-for-age (F = 39.550; p < 0.05). Besides socio-demographic background, the current findings emphasized the importance of incorporating body image perception in an obesity prevention intervention program in welfare homes.Entities:
Keywords: BMI-for-age; body image; children; obesity; welfare home
Mesh:
Year: 2019 PMID: 30641864 PMCID: PMC6356698 DOI: 10.3390/nu11010142
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Distribution of respondents according to body weight status (N = 307).
Distribution of respondents according to psychological factors (N = 307).
| Psychological Factors | Boys ( | Girl ( | Total ( |
| ||||
|---|---|---|---|---|---|---|---|---|
| Mean ± SD | Mean ± SD | Mean ± SD | ||||||
|
| 18.7 ± 3.9 | 17.6 ± 3.4 | 18.2 ± 3.7 | 2.565 a | 0.011 * | |||
| Low | 25 (15.8) | 25 (16.8) | 50 (16.3) | |||||
| Normal | 133 (84.2) | 124 (83.2) | 257 (83.7) | |||||
|
| 16.0 ± 7.7 | 16.9 ± 7.7 | 16.5 ± 7.7 | −1.045 a | 0.297 | |||
| No likelihood of a depressive disorder | 105 (66.5) | 84 (56.4) | 189 (61.6) | |||||
| High likelihood of a depressive disorder | 53 (33.5) | 65 (43.6) | 118 (38.4) | |||||
|
| −0.5 ± 1.5 | 0.8 ± 1.7 | 0.1 ± 1.7 | −7.185 a | 0.0001 * | |||
| Satisfied | 50 (31.6) | 33 (22.1) | 83 (27.0) | |||||
| Dissatisfied | 108 (68.4) | 116 (77.9) | 224 (73.0) | |||||
|
| 2.242 b | 0.326 | ||||||
| Correct-estimator | 79 (50.0) | 86 (57.7) | 165 (53.7) | |||||
| Over-estimator | 13 (8.2) | 13 (8.7) | 26 (8.5) | |||||
| Under-estimator | 66 (41.8) | 50 (33.6) | 116 (37.8) | |||||
n, number of respondents; N, the sample size of this study; a refers to t, a statistic that compared whether sexes had different means through the independent samples t-test; b refers to χ2, a statistic used for testing associations between categorical variables through chi-squared test; * Statistical significance at p < 0.05.
Association between socio-demographic factors and BMI-for-age (z-score) (N = 307).
| Socio-Demographic Factors | BMI-for-Age ( | ||
|---|---|---|---|
| Mean ± SD | |||
|
| 0.169 b | 0.003 * | |
|
| −2.833 c | 0.0001 * | |
| Boys | −0.36 ± 1.54 | ||
| Girls | 0.26 ± 1.23 | ||
|
| 5.358 d | 0.001 * | |
| Malay | 0.01 ± 1.37 | ||
| Chinese | 0.60 ± 1.26 | ||
| Indian | −0.43 ± 1.47 | ||
| Others a | −0.19 ± 1.61 | ||
|
| 5.926 d | 0.003 * | |
| Orphan | −0.12 ± 1.51 | ||
| Abandoned | 0.39 ± 1.25 | ||
| Problematic family | −0.41 ± 1.30 | ||
N, sample size of this study was 307; a Others refer to aborigines and ethnics from Sabah and Sarawak; BMI, body mass index; SD, standard deviation; b refers to r, the correlation coefficient that measured the strength and direction of a linear relationship between two variables through Pearson’s correlation analysis; c refers to t, a statistic that compared whether sexes had different means through the independent samples t-test; d refers to F, a statistic that compared differences between means of more than two groups through one-way ANOVA; *Statistical significance at p < 0.05.
Association between psychological factors and BMI-for-age (z-score) (N = 307).
| Psychological Factors | BMI-for-Age ( | ||
|---|---|---|---|
| Mean ± SD | |||
| Self-esteem | −0.112 a | 0.003 * | |
| Likelihood of depressive disorders | 0.092 a | 0.109 | |
| Body shape dissatisfaction | 0.551 a | 0.0001 * | |
| Perception of body weight status | 6.523 b | 0.002 * | |
| Under-estimator | 0.25 ± 1.60 | ||
| Correct-estimator | −0.16 ± 1.22 | ||
| Over-estimator | −0.77 ± 1.56 | ||
N, the sample size of this study, was 307; BMI, body mass index; SD, standard deviation; a refers to r, the correlation coefficient that measured the strength and direction of a linear relationship between two variables through Pearson’s correlation analysis; b refers to F, statistic that compared differences between means of more than two groups through one-way ANOVA; *Statistical significance at p < 0.05.
Multiple linear stepwise regression of BMI-for-age (z-score) (N = 307).
| Variables | Unstandardized Coefficients | Standardized Coefficients |
| ∆R2 | ||
|---|---|---|---|---|---|---|
| β | Standard Error | Beta | ||||
| (Constant) | −0.796 | 0.131 | −6.063 | 0.0001 * | ||
| Body shape dissatisfaction | 0.457 | 0.038 | 0.549 | 12.126 | 0.304 | 0.0001 * |
| Underestimation of body weight status | 0.628 | 0.134 | 0.213 | 4.691 | 0.048 | 0.0001 * |
| Malay | 0.492 | 0.145 | 0.172 | 3.396 | 0.017 | 0.001 * |
| Chinese | 0.678 | 0.214 | 0.158 | 3.162 | 0.016 | 0.002 * |
| Abandoned status | 0.409 | 0.164 | 0.122 | 2.489 | 0.012 | 0.013 * |
N, the sample size of this study, was 307; R, the multiple correlation coefficient, was 0.630; R2, the coefficient of determination was 0.397; F, the ratio of the model mean square to the error mean square was 39.550; β, values for the regression equation for predicting the dependent variable from the independent variables, Beta was the standardized coefficient; t, a statistic used to check the significance of individual regression coefficients in the regression model; ∆R2, incremental increase in the model R2 resulting from the addition of a predictor to the regression equation; *Statistical significance at p < 0.05.