| Literature DB >> 33297510 |
Lu Ma1, Zeping Fang1, Liwang Gao1, Yaling Zhao1, Hong Xue2, Ke Li1, Youfa Wang1.
Abstract
The associations between children's pocket money and their eating behaviors and weight status have not been examined using longitudinal data in China. Examined child and parental factors associated with children's pocket money, and longitudinal effects of pocket money on children's eating behaviors and weight status. Data were collected in 2015, 2016, and 2017 from 3261 school-age children and their parents in mega-cities across China (Beijing, Shanghai, Nanjing, Xi'an, Chengdu). Children's weight, height, and waist circumference were measured; pocket money and eating behaviors were self-reported. Mixed effect models were used. Older children received more pocket money than younger children (incident rate ratio (IRR) = 1.21, 95% confidence interval (CI): 1.15, 1.26). Fathers gave their children more pocket money than mothers did (IRR = 1.22, 95% CI: 1.16, 1.30). Children with fathers having ≥ college education received more pocket money than the others did (IRR = 1.20, 95% CI: 1.04, 1.40). Some nutrition-related parenting behaviors and attitude were also associated with children's pocket money. Compared with children receiving no weekly pocket money, those having 1-10 or 10-30 or >30-yuan weekly pocket money were 12.0-136% more likely to consume unhealthy foods and were 66-132% more likely to be overweight or obese. Some child and parental factors were associated with children's pocket money, which increased risks of having unhealthy eating behaviors and being overweight and obese.Entities:
Keywords: eating behaviors; family factors; obesity; overweight; pocket money
Mesh:
Year: 2020 PMID: 33297510 PMCID: PMC7729809 DOI: 10.3390/ijerph17239139
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics (mean/standard deviation (SD) or %) of health outcomes, weekly pocket money, and eating behaviors in children: The Childhood Obesity Study in China Mega-Cities, 2015–2017 a.
| Outcomes | Overall | Boys | Girls | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | 2016 | 2017 | 2015 | 2016 | 2017 | 2015 | 2016 | 2017 | ||||
| 1. Health Outcomes | ||||||||||||
| BMI (kg/m2) a | 19.2 (3.8) | 19.3 (3.7) | 19.4 (3.7) | 0.002 ** | 19.7 (4.0) | 19.7 (3.9) | 20.0 (3.9) | 0.173 | 18.6 (3.6) | 18.8 (3.5) | 18.8 (3.4) | 0.043 * |
| Overweight/obesity (%) b | 30.8 | 30.2 | 30.6 | 0.203 | 38.3 | 37.4 | 38.2 | 0.221 | 23.0 | 23.0 | 22.9 | 0.819 |
| Waist-to-height ratio a | 0.4 (0.1) | 0.4 (0.1) | 0.4 (0.1) | 0.002 ** | 0.4 (0.1) | 0.4 (0.1) | 0.5 (0.1) | 0.052 | 0.4 (0.1) | 0.4(0.1) | 0.4 (0.1) | 0.043 * |
| Central obesity (%, waist-to-height ratio ≥ 0.48) | 19.6 | 18.6 | 21.6 | 0.001 *** | 27.3 | 26.4 | 29.5 | 0.035 * | 11.6 | 10.7 | 13.5 | 0.392 |
| 2. Average Weekly Pocket Money | ||||||||||||
| As a continuous variable (yuan) c | 26.7 (64.7) | 35.3 (256.8) | 31.5 (111.7) | 0.577 | 26.8 (71.7) | 31.1 (88.6) | 34.3 (139.0) | 0.636 | 26.7 (56.5) | 29.2 (143.1) | 28.6 (74.4) | 0.916 |
| As a categorical variable (%) d | ||||||||||||
| <1 yuan | 31.0 | 27.6 | 30.3 | 0.54 | 32.5 | 29.7 | 32.8 | 0.803 | 29.3 | 25.5 | 27.9 | 0.463 |
| 1–10 yuan | 28.2 | 33.3 | 29.7 | 26.6 | 31.5 | 29.1 | 30 | 35 | 30.2 | |||
| 11–30 yuan | 20.3 | 19.3 | 18.8 | 21.3 | 18.1 | 16.3 | 19.3 | 20.5 | 21.2 | |||
| >30 yuan | 20.5 | 19.8 | 21.2 | 19.6 | 20.7 | 21.8 | 21.4 | 18.9 | 20.7 | |||
| 3. Eating Behaviors (Frequency/Week) | ||||||||||||
| (1) Consumption of healthy food | ||||||||||||
| Whole grains | 8.5 (5.9) | 5.0 (6.8) | 4.5 (5.0) | 0.001 *** | 8.5 (5.8) | 5.3 (7.0) | 4.5 (4.9) | 0.001 *** | 8.5 (6.1) | 4.6 (6.6) | 4.5 (5.0) | 0.001 *** |
| Green leafy vegetables | 6.7 (4.9) | 8.4 (8.3) | 7.2 (5.5) | 0.314 | 6.4 (4.6) | 8.3 (8.5) | 7.1 (5.5) | 0.383 | 7.1 (5.1) | 8.4 (8.1) | 7.4 (5.5) | 0.642 |
| Fruits | 6.5 (4.3) | 7.3 (6.7) | 6.1 (4.3) | 0.002 ** | 6.4 (4.5) | 7.4 (7.1) | 6.1 (4.6) | 0.123 | 6.7 (4.1) | 7.2 (6.4) | 6.1 (4.0) | 0.002 ** |
| Eggs | 5.2 (4.0) | 5.8 (6.5) | 5.0 (3.8) | 0.042 * | 5.2 (3.9) | 6.1 (6.8) | 5.2 (3.9) | 0.615 | 5.2 (4.1) | 5.5 (6.1) | 4.8 (3.6) | 0.015 * |
| Soybean and products | 3.2 (3.1) | 3.5 (5.1) | 2.7 (2.9) | 0.001 *** | 3.2 (3.0) | 3.6 (4.8) | 2.9 (3.0) | 0.018 * | 3.2 (3.1) | 3.4 (5.4) | 2.6 (2.8) | 0.001 *** |
| White meat | 5.3 (5.2) | 6.4 (7.1) | 5.8 (5.9) | 0.019 * | 5.5 (5.0) | 6.8 (7.5) | 6.2 (6.1) | 0.014 * | 5.0 (5.3) | 5.9 (6.7) | 5.4 (5.7) | 0.419 |
| Milk and milk products | 10.0 (6.5) | 11.3 (11.4) | 9.7 (6.5) | 0.084 | 10.2 (6.6) | 11.8 (12.5) | 9.9 (6.9) | 0.364 | 9.8 (6.4) | 10.7 (10.3) | 9.4 (6.1) | 0.084 |
| (2) Consumption of Unhealthy Food | ||||||||||||
| Pickled food | 1.3 (2.1) | 1.6 (2.2) | 1.4 (2.0) | 0.672 | 1.3 (2.0) | 1.7 (2.1) | 1.5 (2.2) | 0.379 | 1.3 (2.1) | 1.6 (2.2) | 1.3 (1.7) | 0.141 |
| Western fast food | 0.6 (1.0) | 0.8 (1.3) | 0.8 (1.3) | 0.001 *** | 0.7 (1.1) | 0.8 (1.4) | 0.9 (1.4) | 0.001 *** | 0.6 (0.9) | 0.7 (1.3) | 0.7 (1.1) | 0.001 *** |
| Chinese fast food | 1.4 (1.9) | 3.3 (3.4) | 2.4 (2.8) | 0.001 *** | 1.6 (2.0) | 3.5 (3.8) | 2.5 (3.0) | 0.001 *** | 1.2 (1.7) | 3.1 (3.0) | 2.3 (2.5) | 0.001 ** |
| Fried food | 1.6 (1.6) | 1.5 (2.0) | 1.4 (1.8) | 0.005 ** | 1.7 (1.8) | 1.7 (2.0) | 1.6 (2.0) | 0.114 | 1.4 (1.4) | 1.2(1.9) | 1.2 (1.5) | 0.012 * |
| Red meat | 4.5 (4.0) | 6.4 (6.6) | 5.7 (4.9) | 0.005 ** | 4.7 (4.0) | 6.8 (6.8) | 6.0 (5.1) | 0.004 *** | 4.3 (4.0) | 6.1 (6.4) | 5.3 (4.7) | 0.293 |
| Snacks | 12.7 (12.7) | 15.1 (16.4) | 12.2 (10.2) | 0.052 | 12.9 (14.6) | 15.5 (17.8) | 11.8 (10.1) | 0.107 | 12.5 (10.4) | 14.7 (14.9) | 12.5 (10.3) | 0.255 |
| Beverages | 9.2 (9.3) | 10.4 (13.9) | 8.4 (8.3) | 0.003 ** | 10.3 (10.7) | 11.6 (14.8) | 9.3 (9.3) | 0.024 ** | 8.0 (7.4) | 9.2 (12.7) | 7.4 (7.2) | 0.038 * |
Abbreviation: BMI: body mass index. Variable definition: BMI (kg/m2) = weight (kg)/height2(m). Overweight and obesity were defined using age- and gender-specific BMI cutoffs points issued by the National Health Commission of the People’s Republic of China. Waist-to-height ratio = waist circumference (cm)/height (cm). Central obesity was defined as having a waist-to-height ratio ≥ 0.48. Pocket money: each student was asked to report the average times per week that he/she ate the food groups in the last three months. a. Mixed-effects linear regression model. b. Multilevel mixed-effects logistic regression model. Models for weight status adjusted for city (Beijing, Shanghai, Nanjing, Xi’an and Chengdu), school (primary school, middle school), age (in years), gender, paternal BMI, maternal BMI, parental education (≤middle school, high and vocational schools, and ≥college), and family homeownership (rent or share residency with relatives, own an apartment, and own a house). c. Multilevel mixed-effects negative binomial regression model. d. Multilevel mixed-effects ordered logistic regression model. Models for weekly pocket money and eating behaviors adjusted for city (Beijing, Shanghai, Nanjing, Xi’an and Chengdu), school (primary school, middle school), age (in years), gender, parental education (≤middle school, high and vocational schools, and ≥college), and family living condition (rent or share residency with relatives, own an apartment, and own a house). *: p < 0.05; **: p < 0.01; ***: p < 0.001.
Factors associated with pocket money (incident rate ratio (IRR) and 95% CI) among children: The Childhood Obesity Study in China Mega-Cities, 2015–2017.
| Child and Parental Factors | Weekly Pocket Money (in Chinese Yuan, RMB) as the Outcome Variable a | ||
|---|---|---|---|
| All ( | Boys ( | Girls ( | |
| 1. Child Factors | |||
| Time | 1.03 (0.96, 1.11) | 0.90 (0.78, 1.02) | 1.18 (0.90, 1.53) |
| Gender (vs. boys) | 0.96 (0.72, 1.28) | -- | -- |
| Age (years) | 1.21 (1.15, 1.26) *** | 1.19 (1.14, 1.24) *** | 1.25 (1.19, 1.31) *** |
| Pocket money giver (vs. mother) | |||
| Father | 1.22 (1.16,1.30) * | 1.33 (1.13, 1.59) ** | 1.17 (1.01, 1.35) * |
| Grandparent | 1.02 (0.73, 1.42) | 0.85 (0.54, 1.35) | 1.18 (0.84, 1.66) |
| Student residence (vs. family) | |||
| School | 1.01 (0.67, 1.54) | 1.22 (0.76, 1.98) | 0.92 (0.51, 1.68) |
| 2. Family SES | |||
| Paternal highest education (vs. ≤middle school) | |||
| High and vocational schools | 1.27 (0.90, 1.80) | 1.34 (1.08, 1.67) ** | 1.22 (0.78, 1.88) |
| ≥College | 1.20 (1.04, 1.40) * | 1.56 (1.27, 1.91) *** | 0.94 (0.71, 1.26) |
| Maternal highest education (vs. ≤middle school) | |||
| High and vocational schools | 0.85 (0.69, 1.06) | 0.79 (0.66, 0.93) ** | 0.96 (0.71, 1.30) |
| ≥College | 0.82 (0.67, 1.06) | 0.67 (0.55, 0.80) *** | 1.07 (0.67, 1.71) |
| Family homeownership (vs. rent or share residency with relatives) | |||
| Own an apartment | 1.02 (0.88, 1.18) | 0.96 (0.68, 1.36) | 1.08 (1.03, 1.14) ** |
| Own a house | 1.02 (0.88, 1.17) | 0.73 (0.55, 0.96) * | 1.29 (1.07, 1.56) ** |
| 3. Nutrition-Related Parenting Behavior | |||
| The weekly frequency of family’s out-of-home eating | 1.03 (1.01, 1.05) ** | 1.06 (1.03, 1.08) *** | 1.00 (0.95, 1.04) |
| The weekly frequency of mother’s out-of-home eating | 1.03 (1.01, 1.06) * | 1.02 (0.99, 1.05) | 1.05 (1.03, 1.08) *** |
| Whether family often eats dinners together | 1.07 (0.91, 1.26) | 1.14 (1.05, 1.24) ** | 1.01 (0.78, 1.32) |
| 4. Nutrition-Related Parenting Attitude | |||
| Snacks were among the best incentives for child (vs. Disagree or strongly disagree) | |||
| Not matter | 1.48 (1.09, 2.00) * | 1.92 (1.38, 2.66) *** | 1.22 (0.96, 1.55) |
| Agree or strongly agree | 1.14 (0.94, 1.40) | 1.33 (0.85, 2.08) | 0.91 (0.76, 1.09) |
| Parents should not overfeed child (vs. Disagree or strongly disagree) | |||
| Not matter | 0.86 (0.75, 0.99) * | 0.82 (0.57, 1.18) | 0.99 (0.70, 1.39) |
| Agree or strongly agree | 0.83 (0.70, 0.99) * | 0.89 (0.60, 1.31) | 0.76 (0.58, 0.99) * |
| 5. School factors | |||
| Whether school had unhealthy food restriction (vs. Yes) | |||
| No | 1.34 (1.17, 1.53) *** | 1.45 (1.00, 2.12) | 1.21 (0.87, 1.70) |
Abbreviations: IRR: incident rate ratio; 95% CI: 95% confidence interval. a. Pocket money: each student was asked to report “on average, how much pocket money (RMB) do you receive from your family every week?”, and this variable was used as a continuous variable in this data analysis. We used multilevel mixed-effects negative binomial regression model to analyze factors associated with pocket money, and the independent variables included child factors (gender, age, pocket money giver, and student residence), family social-economic status (parental education, family homeownership), parental nutrition-related parenting behavior (weekly frequency of family’s out-of-home eating and mother’s out-of-home eating, whether family often eats dinners together), parental nutrition-related parenting attitudes (snacks are among the best incentives for child, parents should not overfeed child), and school factors (whether school have unhealthy food restriction). Parenting attitudes on the following statements: “child should only eat during regular meal times”, “parents should be concerned about child’s future diseases due to unhealthy eating”, “parents should be concerned about child’s overweight/overnutrition”, “parents should monitor the time and content of child’s everyday eating”, “parents should make sure your child is well fed”, “parents should encourage your children to eat healthy food” were also adjusted in the model. Associations between these variables and pocket money were not statistically significant and thus were not presented in the table due to space limit. *: p < 0.05; **: p < 0.01; ***: p < 0.001.
Longitudinal associations (IRR and 95% CI) between children’s pocket money and their eating behaviors: The Childhood Obesity Study in China Mega-Cities, 2015–2017.
| Eating Behaviors, a (Times/Week) | IRR (95%CI) (“<1 Chinese Yuan” Was Used as the Reference Group for the Other Three Categories of Weekly Pocket Money) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Overall ( | Boys ( | Girls ( | |||||||
| “1–10 yuan” | “10–30 yuan” | “>30 yuan” | “1–10 yuan” | “10–30 yuan” | “>30 yuan” | “1–10 yuan” | “10–30 yuan” | “>30 yuan” | |
| Consumption of healthy food | |||||||||
| Whole grains food | 1.01 | 1.02 | 1.06 ** | 0.96 | 0.98 | 1.09 | 1.04 | 1.03 | 1.01 |
| Green leafy vegetables | 0.93 | 0.92 * | 0.90 *** | 0.91 | 0.94 | 0.91 | 0.95 | 0.91 | 0.88 |
| Fruits | 0.98 | 0.98 | 1.02 | 0.98 | 0.96 | 1.02 | 0.99 | 0.99 | 1.02 |
| Eggs | 1.01 | 0.96 | 0.99 | 0.97 | 0.93 | 0.98 | 1.03 | 0.99 | 0.99 |
| Soybean and products | 1.04 | 1.05 | 1.08 | 1.04 | 0.97 | 1.05 | 1.05 | 1.15 | 1.12 |
| White meat | 1.04 | 1.05 | 1.16 *** | 1.01 | 1.01 | 1.18 * | 1.06 | 1.08 | 1.12 * |
| Milk and milk products | 1.04 | 1.04 | 1.08 * | 1.03 | 1.03 | 1.09 * | 1.06 | 1.04 | 1.08 |
| Consumption of unhealthy food | |||||||||
| Pickled food | 1.09 | 1.25 *** | 1.27 *** | 1.18 | 1.43 *** | 1.30 *** | 1.01 | 1.10 | 1.23 |
| Western fast food | 1.20 *** | 1.57 *** | 2.18 *** | 1.20 * | 1.61 *** | 2.36 *** | 1.16 ** | 1.50 *** | 2.00 *** |
| Chinese fast food | 0.96 | 1.12 | 1.29 ** | 0.92 | 1.08 | 1.20 | 1.01 | 1.17 * | 1.39 * |
| Fried food | 1.19 *** | 1.30 *** | 1.56 *** | 1.17 | 1.29 ** | 1.59 *** | 1.21 * | 1.30 *** | 1.52 *** |
| Red meat | 1.00 | 1.02 | 1.05 | 0.95 | 1.01 | 1.12 *** | 1.05 | 1.02 | 0.98 |
| Snacks | 1.12 ** | 1.29 *** | 1.42 *** | 1.12 | 1.30 ** | 1.43 *** | 1.14 * | 1.28 *** | 1.41 *** |
| Beverages | 1.18 *** | 1.46 *** | 1.81 *** | 1.19 ** | 1.52 *** | 1.89 *** | 1.18 ** | 1.41 *** | 1.71 *** |
Abbreviations: IRR, incident rate ratio; 95% CI, 95% confidence interval. a. Pocket money: each student was asked to report “on average, how much pocket money (RMB) do you receive from your family every week?”. Multilevel mixed-effects negative binomial regression model was used to analyze the longitudinal associations between pocket money and children’s eating behaviors. All models adjusted for time, city (Beijing, Shanghai, Nanjing, Xi’an and Chengdu), gender, age (in years), paternal BMI, maternal BMI, paternal education (≤middle school, high and vocational schools, and ≥college), maternal education (≤middle school, high and vocational schools, and ≥college), family homeownership (rent or share residency with relatives, own an apartment, and own a house), weekly frequency of family’s out-of-home eating and mother’s out-of-home eating, and parental nutrition-related parenting attitudes (“child should only eat during regular meal times”, “snacks are among the best incentives for child”, “parents should not overfeed child”, “parents should be concerned about child’s future diseases due to unhealthy eating”, “parents should be concerned about child’s overweight/overnutrition”, “parents should monitor the time and content of child’s everyday eating”, “parents should make sure your child is well fed”, and “parents should encourage your children to eat healthy food”). *: p < 0.05; **: p < 0.01; ***: p < 0.001.
Longitudinal associations between children’s pocket money and their body weight status: The Childhood Obesity Study in China Mega-Cities, 2015–2017.
| Pocket Money | BMI (kg/m2) a | Overweight/Obesity b | WHtR a | Central Obesity b |
|---|---|---|---|---|
| All ( | ||||
| Weekly pocket money (vs. 0 yuan) | ||||
| 1–10 yuan | 0.16 (0.03, 0.29) * | 1.51 (1.00, 2.30) | 0.002 (−0.001, 0.005) | 1.08 (0.74, 1.57) |
| 11–30 yuan | 0.23 (0.06, 0.39) ** | 1.66 (1.01, 2.74) * | 0.005 (0.001, 0.008) ** | 1.42 (0.90, 2.24) |
| >30 yuans | 0.29 (0.12, 0.47) *** | 2.32 (1.38, 3.91) ** | 0.005 (0.001, 0.008) * | 1.50 (0.94, 2.40) |
| Boys ( | ||||
| Weekly pocket money (vs. 0 yuan) | ||||
| 1–10 yuan | 0.15 (−0.04, 0.35) | 1.13 (0.63, 2.02) | 0.001 (−0.004, 0.006) | 0.85 (0.48, 1.50) |
| 11–30 yuan | 0.16 (−0.08, 0.40) | 1.62 (0.80, 3.25) | 0.005 (−0.001, 0.011) | 1.41 (0.72, 2.77) |
| >30 yuans | 0.19 (−0.06, 0.45) | 1.79 (0.88, 3.67) | 0.002 (−0.004, 0.008) | 1.18 (0.59, 2.36) |
| Girls ( | ||||
| Weekly pocket money (vs. 0 yuan) | ||||
| 1–10 yuan | 0.15 (−0.02, 0.32) | 2.29 (1.18, 4.47) * | 0.004 (0.001, 0.007) * | 2.43 (1.22, 4.84) * |
| 11–30 yuan | 0.22 (0.02, 0.42) * | 2.02 (0.92, 4.41) | 0.005 (0.001, 0.009) * | 1.67 (0.75, 3.74) |
| >30 yuans | 0.36 (0.14, 0.58) *** | 3.36 (1.46, 7.72) ** | 0.008 (0.004, 0.012) *** | 2.75 (1.20, 6.28) * |
Abbreviations: OR: odds ratio; 95%CI: 95% confidence interval; BMI: body mass index; WHtR: waist-to-height ratio. Variable definition: BMI (kg/m2) = weight (kg)/height2 (m). Waist-to-height ratio = waist circumference (cm)/height (cm). Overweight and obesity were defined using age- and gender-specific BMI cutoffs points issued by the National Health Commission of the People’s Republic of China. Central obesity was defined as having a waist-to-height ratio ≥ 0.48. All models adjusted for time, gender, age (in years), paternal BMI, maternal BMI, paternal education (≤middle school, high and vocational schools, and ≥college), maternal education (≤middle school, high and vocational schools, and ≥college), and family homeownership (rent or share residency with relatives, own an apartment, and own a house). a. Mixed-effects linear regression model was used. b. Multilevel mixed-effects logistic regression model was used. *: p < 0.05; **: p < 0.01; ***: p < 0.001. Numbers in bold indicated statistical significance, p < 0.05.
Figure 1Adjusted mean of children’s BMI for each level of weekly pocket money when covariates are at their mean after mixed-effects linear regression model: The Childhood Obesity Study in China Mega-Cities. Mixed-effects model was fit to examine the longitudinal association between children’s BMI and weekly pocket money, adjusting for time, gender, age, paternal BMI, maternal BMI, paternal education, maternal education, and family homeownership. The mixed-effects model was fit for all children, boys, and girls, respectively. Location was included in the models as a random effect (intercept). The marginal means of children’s BMI was estimated based on pocket money in the mixed-effect model conditioned the other covariates was on average. As weekly pocket money changed in four categories (0, 1–10, 11–30, >30 yuan), the predicted mean of BMI was 19.0, 19.2, 19.3, 19.4 kg/m2 for all children, the BMI was 19.6, 19.8, 19.8, 19.8 kg/m2 for boys, 18.5, 18.7, 18.7, 18.9 kg/m2 for girls. Only children who participated in ≥ two surveys in the 2015, 2016, and 2017 surveys were included in this analysis (n = 3261).