A 3-year Longitudinal Study of Pocket Money, Eating Behavior, Weight Status: The Childhood Obesity Study in China Mega-Cities
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Participants
2.2. Study Variables and Measurements
2.2.1. Key Study Variables
- Pocket money: Children were asked to answer the following open question, “On average, how much pocket money (Chinese yuan, RMB) do you receive from your family every week?”. This variable was used both as a continuous variable and a categorical variable (0, 1–10, 11–30, and >30 RMB/week) in the data analysis.
- Anthropometric data: Height was measured using Seca 213 Portable Stadiometer Height-Rods (Seca China, Zhejiang, China) with a precision of 0.1 cm. Body weight was measured using Seca 877 electronic flat scales (Seca China, Zhejiang, China) with a precision of 0.1 kg. Height and weight were measured by health professionals. Child body mass index (BMI) was calculated as weight (kg) divided by the square of height (m). General overweight and obesity were defined using age- and gender-specific BMI cutoff points issued by the National Health Commission of the People’s Republic of China (underweight/normal weight: <85th percentile; 85th percentile ≤ overweight < 95th percentile; 95th percentile ≤ obesity) [23].To determine central obesity, waist circumference was measured using an inflexible tape with a precision of 0.1 cm. Waist-to-height ratio was calculated as waist circumference (cm) divided by height (cm). Central obesity was defined as having a waist-to-height ratio ≥ 0.48 and taken as a dichotomous dependent variable in mixed-effects models [24].
- Eating behaviors: Children were asked to report average (in days) weekly consumption of food groups during the previous 3 months. Based on the information collected, we characterized children’s eating behaviors as “unhealthy,” which included consumption of pickled food, western fast food, Chinese fast food, fried food, red meat, snacks, and beverages. We named “healthy” behaviors as consuming whole grain food, green leafy vegetables, fruits, eggs, soybeans and its products, white meat, milk, and milk products.
2.2.2. Other Study Variables
2.3. Statistical Analysis
3. Results
3.1. Change of Weight Status, Eating Behaviors, and Pocket Money during 2015–2017
3.2. Family Correlates of Child Pocket Money
3.3. Longitudinal Associations between Pocket Money and Child Eating Behaviors
3.4. Longitudinal Associations between Pocket Money and Child Weight Status
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Song, Y.; Agardh, A.; Ma, J.; Li, L.; Lei, Y.; Stafford, R.S.; Prochaska, J.J. National trends in stunting, thinness and overweight among Chinese school-aged children, 1985–2014. Int. J. Obes. 2019, 43, 402–411. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ng, M.; Fleming, T.; Robinson, M.; Thomson, B.; Graetz, N.; Margono, C.; Abraham, J.P. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014, 384, 766–781. [Google Scholar] [CrossRef] [Green Version]
- Wang, Y.; Wang, L.; Qu, W. New national data show alarming increase in obesity and noncommunicable chronic diseases in China. Eur. J. Clin. Nutr. 2017, 71, 149–150. [Google Scholar] [CrossRef] [PubMed]
- Wang, Z.; Zhai, F.; Du, S.; Popkin, B. Dynamic shifts in Chinese eating behaviors. Asia Pac. J. Clin. Nutr. 2008, 17, 123–130. [Google Scholar]
- Ma, G.S.; Mi, J.; Ma, J. Report on Childhood Obesity in China; People’s Medical Publishing House: Beijing, China, 2017.
- Jia, P.; Xue, H.; Zhang, J.; Wang, Y. Time Trend and Demographic and Geographic Disparities in Childhood Obesity Prevalence in China-Evidence from Twenty Years of Longitudinal Data. Int. J. Environ. Res. Public Health 2017, 14, 369. [Google Scholar] [CrossRef]
- He, W.; James, S.A.; Merli, M.G.; Zheng, H. An increasing socioeconomic gap in childhood overweight and obesity in China. Am. J. Public Health 2014, 104, e14–e22. [Google Scholar] [CrossRef]
- Murasko, J.E. Socioeconomic status, height, and obesity in children. Econ. Hum. Biol. 2009, 7, 376–386. [Google Scholar] [CrossRef]
- Wang, Y.; Min, J.; Khuri, J.; Li, M. A Systematic Examination of the Association between Parental and Child Obesity across Countries. Adv. Nutr. 2017, 8, 436–448. [Google Scholar] [CrossRef] [Green Version]
- Perelman, J.; Alves, J.; Pfoertner, T.-K.; Moor, I.; Federico, B.; Kuipers, M.A.G.; Lorant, V. The association between personal income and smoking among adolescents: A study in six European cities. Addiction 2017, 112, 2248–2256. [Google Scholar] [CrossRef] [Green Version]
- West, P.; Sweeting, H.; Young, R.; Robins, M. A Material Paradox: Socioeconomic Status, Young People‘s Disposable Income and Consumer Culture. J. Youth Stud. 2006, 9, 437–462. [Google Scholar] [CrossRef]
- van Ansem, W.J.C.; Schrijvers, C.T.M.; Rodenburg, G.; van de Mheen, D. Children’s snack consumption: Role of parents, peers and child snack-purchasing behaviour. Results from the INPACT study. Eur. J. Public Health 2015, 25, 1006–1011. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Barnet-Verzat, C.; Wolff, F.-C. Motives for pocket money allowance and family incentives. J. Econ. Psychol. 2002, 23, 339–366. [Google Scholar] [CrossRef] [Green Version]
- Li, M.; Xue, H.; Jia, P.; Zhao, Y.; Wang, Z.; Xu, F.; Wang, Y. Pocket money, eating behaviors, and weight status among Chinese children: The Childhood Obesity Study in China mega-cities. Prev. Med. 2017, 100, 208–215. [Google Scholar] [CrossRef] [PubMed]
- China National Bureau of Statistics. China Statistical Yearbook; China Statistics Press: Beijing, China, 2011.
- Pocock, B. The Labour Market Ate My Babies: Work, Children and a Sustainable Future; Federation Press: Annandale, Australia, 2006. [Google Scholar]
- Duan, Y. Analysis of Reasonable Distribution of Pocket Money for Middle School Students in China. Technol. Econ. Guide 2018, 26, 190–191. [Google Scholar]
- Jensen, J.D.; Bere, E.; De Bourdeaudhuij, I.; Jan, N.; Maes, L.; Manios, Y.; te Velde, S. Micro-level economic factors and incentives in Children’s energy balance related behaviours-findings from the ENERGY European cross-section questionnaire survey. Int. J. Behav. Nutr. Phys. Act. 2012, 9, 136. [Google Scholar] [CrossRef] [Green Version]
- Lachat, C.; Khanh, L.N.B.; Khan, N.C.; Dung, N.Q.; Nguyen, D.V.A.; Roberfroid, D.; Kolsteren, P. Eating out of home in Vietnamese adolescents: Socioeconomic factors and dietary associations. Am. J. Clin. Nutr. 2009, 90, 1648–1655. [Google Scholar] [CrossRef]
- Punitha, V.C.; Amudhan, A.; Sivaprakasam, P.; Rathnaprabhu, V. Pocket Money: Influence on Body Mass Index and Dental Caries among Urban Adolescents. J. Clin. Diagn. Res. 2014, 8, JC10–JC12. [Google Scholar] [CrossRef]
- Zhao, Y.; Wang, L.; Xue, B.; Wang, Y. Associations between general and central obesity and hypertension among children: The Childhood Obesity Study in China Mega-Cities. Sci. Rep. 2017, 7, 16895. [Google Scholar] [CrossRef]
- Jia, P.; Li, M.; Xue, H.; Lu, L.; Xu, F.; Wang, Y. School environment and policies, child eating behavior and overweight/obesity in urban China: The childhood obesity study in China megacities. Int. J. Obes. 2017, 41, 813–819. [Google Scholar] [CrossRef]
- National Health Commission of the People’s Republic of China. Screening for Overweight and Obesity among School-Age Children and Adolescents (In Chinese); National Health Commission of the People’s Republic of China: Beijing, China, 2018.
- Meng, H.; Mi, J.; Cheng, H.; Hou, D.; Zhao, X.; Ding, X. Using waist circumference and waist-to-height ratio to access central obesity in children and adolescents. Chin. J. Evid. Based Pediatr. 2008, 4, 245–252. [Google Scholar]
- Guo, L.; Xu, Y.; Deng, J.; He, Y.; Gao, X.; Li, P.; Lu, C. Non-medical use of prescription pain relievers among high school students in China: A multilevel analysis. BMJ Open 2015, 5, e007569. [Google Scholar] [CrossRef] [PubMed]
- Ma, J.; Zhu, J.; Li, N.; He, Y.; Cai, Y.; Qiao, Y.; Wang, Z. Cigarette smoking in Chinese adolescents: Importance of controlling the amount of pocket money. Public Health 2013, 127, 687–693. [Google Scholar] [CrossRef] [PubMed]
- Xu, J.; Shen, L.-X.; Yan, C.-H.; Hu, H.; Yang, F.; Wang, L.; Zhang, J. Parent-adolescent interaction and risk of adolescent internet addiction: A population-based study in Shanghai. BMC Psychiatry 2014, 14, 112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yang, Z.; Dong, Y.; Wang, X.; Yang, Z.; Wang, Z.; Ma, J. Prevalence of abdominal obesity among students aged 7–18 years old in China in 2014. Chin. J. Sch. Health 2018, 39, 810–813. [Google Scholar]
- Wang, Y.; Wang, L.; Xue, H.; Qu, W. A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity. Int. J. Environ. Res. Public Health 2016, 13, 1112. [Google Scholar] [CrossRef]
- Li, L.; Wu, Q. Social Medicine; People’s Medical Publishing House: Beijing, China, 2014.
- Jung, S.-H.; Tsakos, G.; Sheiham, A.; Ryu, J.-I.; Watt, R.G. Socio-economic status and oral health-related behaviours in Korean Adolesc. Soc. Sci. Med. 2010, 70, 1780–1788. [Google Scholar] [CrossRef]
- Shen, X.; Tang, W.; Mao, X.; Huang, J.; Cai, W. Dietary nutritional related influencing factors of primary school students in poor moutain area of Guangxi and Yunnan. Chin. J. Sch. Health 2013, 34, 788–790. [Google Scholar]
- Fisher, J.O.; Dwyer, J.T. Next Steps for Science and Policy on Promoting Vegetable Consumption among US Infants and Young Children. Adv. Nutr. 2016, 7, 261S–271S. [Google Scholar] [CrossRef] [Green Version]
- Cooke, L.J.; Wardle, J. Age and gender differences in children’s food preferences. Br. J. Nutr. 2005, 93, 741–774. [Google Scholar] [CrossRef] [Green Version]
Outcomes | Overall | Boys | Girls | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
2015 (n = 1583) | 2016 (n = 1917) | 2017 (n = 1935) | p-Value | 2015 (n = 806) | 2016 (n = 962) | 2017 (n = 973) | p-Value | 2015 (n = 777) | 2016 (n = 955) | 2017 (n = 962) | p-Value | |
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 * |
Child and Parental Factors | Weekly Pocket Money (in Chinese Yuan, RMB) as the Outcome Variable a | ||
---|---|---|---|
All (n = 3261) IRR (95% CI) | Boys (n = 1642) IRR (95% CI) | Girls (n = 1619) IRR (95% CI) | |
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) |
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 (n = 3261) | Boys (n = 1642) | Girls (n = 1619) | |||||||
“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 (0.98, 1.05) | 1.02 (0.97, 1.08) | 1.06 ** (1.02, 1.11) | 0.96 (0.88, 1.04) | 0.98 (0.87, 1.11) | 1.09 (0.96, 1.25) | 1.04 (0.91, 1.19) | 1.03 (0.88, 1.20) | 1.01 (0.83, 1.23) |
Green leafy vegetables | 0.93 (0.85, 1.02) | 0.92 * (0.86, 0.99) | 0.90 *** (0.85, 0.94) | 0.91 (0.80, 1.02) | 0.94 (0.85, 1.04) | 0.91 (0.82, 1.01) | 0.95 (0.88, 1.03) | 0.91 (0.78, 1.06) | 0.88 (0.76, 1.02) |
Fruits | 0.98 (0.93, 1.03) | 0.98 (0.90, 1.06) | 1.02 (0.98, 1.07) | 0.98 (0.90, 1.06) | 0.96 (0.88, 1.06) | 1.02 (0.94, 1.11) | 0.99 (0.93, 1.05) | 0.99 (0.89, 1.09) | 1.02 (0.94, 1.10) |
Eggs | 1.01 (0.92, 1.10) | 0.96 (0.89, 1.04) | 0.99 (0.95, 1.03) | 0.97 (0.89, 1.06) | 0.93 (0.85, 1.02) | 0.98 (0.93, 1.04) | 1.03 (0.90, 1.18) | 0.99 (0.88, 1.12) | 0.99 (0.89, 1.12) |
Soybean and products | 1.04 (1.00, 1.11) | 1.05 (0.93, 1.19) | 1.08 (0.96, 1.23) | 1.04 (0.98, 1.10) | 0.97 (0.86, 1.10) | 1.05 (0.91, 1.22) | 1.05 (0.91, 1.20) | 1.15 (0.96, 1.38) | 1.12 (0.96, 1.32) |
White meat | 1.04 (0.95, 1.14) | 1.05 (0.99, 1.11) | 1.16 *** (1.10, 1.22) | 1.01 (0.94, 1.10) | 1.01 (0.92, 1.10) | 1.18 * (1.12, 1.24) | 1.06 (0.96, 1.17) | 1.08 (0.98, 1.18) | 1.12 * (1.01, 1.24) |
Milk and milk products | 1.04 (1.00, 1.10) | 1.04 (0.98, 1.10) | 1.08 * (1.02, 1.15) | 1.03 (0.96, 1.11) | 1.03 (0.94, 1.12) | 1.09 * (1.01, 1.19) | 1.06 (0.99, 1.14) | 1.04 (0.96, 1.14) | 1.08 (0.99, 1.18) |
Consumption of unhealthy food | |||||||||
Pickled food | 1.09 (0.99, 1.21) | 1.25 *** (1.12, 1.40) | 1.27 *** (1.13, 1.44) | 1.18 (0.95, 1.47) | 1.43 *** (1.20, 1.69) | 1.30 *** (1.16, 1.46) | 1.01 (0.87, 1.18) | 1.10 (0.99, 1.23) | 1.23 (0.93, 1.61) |
Western fast food | 1.20 *** (1.12, 1.28) | 1.57 *** (1.34, 1.84) | 2.18 *** (1.84, 2.59) | 1.20 * (1.04, 1.39) | 1.61 *** (1.32, 1.96) | 2.36 *** (1.91, 2.92) | 1.16 ** (1.04, 1.30) | 1.50 *** (1.23, 1.84) | 2.00 *** (1.66, 2.42) |
Chinese fast food | 0.96 (0.84, 1.10) | 1.12 (0.95, 1.33) | 1.29 ** (1.09, 1.52) | 0.92 (0.75, 1.14) | 1.08 (0.85, 1.37) | 1.20 (1.00, 1.45) | 1.01 (0.88, 1.15) | 1.17 * (1.01, 1.35) | 1.39 * (1.08, 1.80) |
Fried food | 1.19 *** (1.09, 1.31) | 1.30 *** (1.21, 1.39) | 1.56 *** (1.35, 1.82) | 1.17 (0.99, 1.38) | 1.29 ** (1.10, 1.51) | 1.59 *** (1.32, 1.91) | 1.21 * (1.02, 1.44) | 1.30 *** (1.19, 1.43) | 1.52 *** (1.21, 1.92) |
Red meat | 1.00 (0.88, 1.12) | 1.02 (0.92, 1.13) | 1.05 (0.98, 1.13) | 0.95 (0.87, 1.04) | 1.01 (0.93, 1.10) | 1.12 *** (1.06, 1.18) | 1.05 (0.90, 1.21) | 1.02 (0.86, 1.20) | 0.98 (0.86, 1.11) |
Snacks | 1.12 ** (1.04, 1.22) | 1.29 *** (1.21, 1.37) | 1.42 *** (1.33, 1.53) | 1.12 (0.97, 1.28) | 1.30 ** (1.11, 1.53) | 1.43 *** (1.20, 1.70) | 1.14 * (1.02, 1.28) | 1.28 *** (1.20, 1.36) | 1.41 *** (1.30, 1.52) |
Beverages | 1.18 *** (1.10, 1.28) | 1.46 *** (1.38, 1.56) | 1.81 *** (1.56, 2.10) | 1.19 ** (1.08, 1.32) | 1.52 *** (1.34, 1.73) | 1.89 *** (1.57, 2.28) | 1.18 ** (1.07, 1.30) | 1.41 *** (1.31, 1.52) | 1.71 *** (1.49, 1.96) |
Pocket Money | BMI (kg/m2) a Beta (95%CI) | Overweight/Obesity b OR (95%CI) | WHtR a Beta (95%CI) | Central Obesity b OR (95%CI) |
---|---|---|---|---|
All (n = 3261) | ||||
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 (n = 1642) | ||||
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 (n = 1619) | ||||
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) * |
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Ma, L.; Fang, Z.; Gao, L.; Zhao, Y.; Xue, H.; Li, K.; Wang, Y. A 3-year Longitudinal Study of Pocket Money, Eating Behavior, Weight Status: The Childhood Obesity Study in China Mega-Cities. Int. J. Environ. Res. Public Health 2020, 17, 9139. https://doi.org/10.3390/ijerph17239139
Ma L, Fang Z, Gao L, Zhao Y, Xue H, Li K, Wang Y. A 3-year Longitudinal Study of Pocket Money, Eating Behavior, Weight Status: The Childhood Obesity Study in China Mega-Cities. International Journal of Environmental Research and Public Health. 2020; 17(23):9139. https://doi.org/10.3390/ijerph17239139
Chicago/Turabian StyleMa, Lu, Zeping Fang, Liwang Gao, Yaling Zhao, Hong Xue, Ke Li, and Youfa Wang. 2020. "A 3-year Longitudinal Study of Pocket Money, Eating Behavior, Weight Status: The Childhood Obesity Study in China Mega-Cities" International Journal of Environmental Research and Public Health 17, no. 23: 9139. https://doi.org/10.3390/ijerph17239139
APA StyleMa, L., Fang, Z., Gao, L., Zhao, Y., Xue, H., Li, K., & Wang, Y. (2020). A 3-year Longitudinal Study of Pocket Money, Eating Behavior, Weight Status: The Childhood Obesity Study in China Mega-Cities. International Journal of Environmental Research and Public Health, 17(23), 9139. https://doi.org/10.3390/ijerph17239139