Association between Sleep and Body Weight: A Panel Data Model Based on a Retrospective Longitudinal Cohort of Chinese Infants

Sha, Tingting; Gao, Xiao; Xiang, Shiting; Zeng, Guangyu; Liu, Shiping; He, Qiong

doi:10.3390/ijerph14050458

Cited by 11 publications

(3 citation statements)

References 38 publications

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“…We used the F test to choose fixed or pooled effects specification. Then, we used the Hausman test to choose fixed or random effects specification[ 28 ]. We used multivariable panel data models, and adjusted beta coefficients were provided.…”

Section: Methodsmentioning

confidence: 99%

Estimated global overweight and obesity burden in pregnant women based on panel data model

2018

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ObjectiveTo estimate the global and country-level burden of overweight and obesity among pregnant women from 2005 to 2014.MethodsPublicly accessible country-level data were collected from the World Health Organization, the World Bank and the Food and Agricultural Organization. We estimated the number of overweight and obese pregnant women among 184 countries and determined the time-related trend from 2005 to 2014. Based on panel data model, we determined the effects of food energy supply, urbanization, gross national income and female employment on the number of overweight and obese pregnant women.ResultsWe estimated that 38.9 million overweight and obese pregnant women and 14.6 million obese pregnant women existed globally in 2014. In upper middle income countries and lower middle income countries, there were sharp increases in the number of overweight and obese pregnant women. In 2014, the percentage of female with overweight and obesity in India was 21.7%, and India had the largest number of overweight and obese pregnant women (4.3 million), which accounted for 11.1% in the world. In the United States of America, a third of women were obese, and the number of obese pregnant women was 1.1 million. In high income countries, caloric supply and urbanization were positively associated with the number of overweight and obese pregnant women. The percentage of employment in agriculture was inversely associated with the number of overweight and obese pregnant women, but only in upper middle income countries and lower middle income countries.ConclusionThe number of overweight and obese pregnant women has increased in high income and middle income countries. Environmental changes could lead to increased caloric supply and decreased energy expenditure among women. National and local governments should work together to create a healthy food environment.

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Section: Methodsmentioning

confidence: 99%

Estimated global overweight and obesity burden in pregnant women based on panel data model

2018

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“…The sample in our final analysis only included respondents who were permanent residents in Kaifu District, delivered live-born babies during study period, provided complete health care records in the CHSCs, had no history of mental illnesses or brain diseases, completed the follow-up surveys, and agreed to participate and signed the written informed consents, and excluded mothers with multiple births, conceived via assisted reproductive techniques, and without antenatal care information. Detailed eligibility requirements of subjects are available in the previous study [21].…”

Section: Methodsmentioning

confidence: 99%

Associations of Pre-Pregnancy BMI, Gestational Weight Gain and Maternal Parity with the Trajectory of Weight in Early Childhood: A Prospective Cohort Study

Sha

Gao

Chen

et al. 2019

IJERPH

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Background: The association of maternal parity, pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) with childhood weight status has been well studied; however, little is known about these factors with respect to the rate of weight changes in early childhood. Methods: This study was based on a prospective longitudinal study. The follow-up surveys were conducted at the ages of 1, 3, 6, 8, 12, and 18 months. Child weight was investigated twice at each wave. Data on maternal parity, pre-pregnancy weight and height were collected at baseline. The latent growth curve model was used to examine the effects of interested predictors on the trajectory of weight in early childhood. Results: Finally, 893 eligible mother-child pairs were drawn from the cohort. In adjusted models, multiparas were associated with higher birth weight (β = 0.103) and slower weight change rate of children (β = −0.028). Pre-conception BMI (β = 0.034) and GWG (β = 0.014) played important roles in the initial status of child weight but did not have effects on the rate of weight changes of the child. Conclusions: Multiparous pregnancy is associated with both higher mean birth weight and slower weight-growth velocity in early childhood, while pregravid maternal BMI and GWG are only related to the birth weight.

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“…Teenagers consume more fructose without unbearable glycogen in a timely manner, fructose is transformed into faster rate of fat. [23,24] Based on our findings, it was judicious to assume that the children had excessive high sugar content consumption of fruits.…”

Section: Discussionmentioning

confidence: 87%

Epidemiological Study on Overweight and Obesity among Adolescent Boys and Girls

Ali¹,

Sayed²,

Qureshi³

et al. 2021

PJMHS

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Background and Aim: Overweight and obesity has a great impact on individual health and quality of life. Most of the psychosocial and physical health problems are considerably related with overweight and obesity in adolescents. The incidence of overweight and obesity accelerated in the developing world over the last decade. The present study aims to evaluate the prevalence of overweight and obesity among Pakistani adolescents. Methodology: This epidemiological study was conducted on 1764 Pakistani adolescents attending multi medical centers of Pakistan with an age ranges from 12 years to 19 years. The socio-demographic questionnaire was completed by each individual with a consent form. Demographic and anthropometric parameters were included in the questionnaire. The prevalence of overweight and obesity was determined based on body mass index calculation. Obesity and associated factors were analyzed through analysis of Univariate and multivariate logistic regression. Results: Out of total adolescents, 885 (50.2%) were male and 879 (49.8%) were females. The prevalence of overweight and obesity was 14.1% (male 18.5%; female 11.4%) and 5.4% (male 8.3%; female 4.4%) respectively. Boys were prevalent in overweight and obesity compared to girls (p<0.001). Using Multivariate logistic regression, male gender (OR=1.89, 95% CI 1.37-2.56), eating fruits 3 or more times per week (OR=1.39, 95% CI 1.03-1.79), and fast eating (OR=1.29, 95% CI 1.03-1.68) were considerably related to the overweight and obesity. Adolescents whose parents were overweight or obese (0.69, 95% CI 0.49-0.93) were improbable to be overweight or obese. Conclusion: Our study found a higher risk and prevalence of overweight and obesity among adolescent boys compared to adolescent girls in the recent few years. Gender, parental weight, and diet were key parameters for adolescents' obesity. There is a need for further intervention and national program establishment to decrease the incidence of overweight and obesity. Keywords: Overweight; Obesity; Adolescents

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Association between Sleep and Body Weight: A Panel Data Model Based on a Retrospective Longitudinal Cohort of Chinese Infants

Cited by 11 publications

References 38 publications

Estimated global overweight and obesity burden in pregnant women based on panel data model

Estimated global overweight and obesity burden in pregnant women based on panel data model

Associations of Pre-Pregnancy BMI, Gestational Weight Gain and Maternal Parity with the Trajectory of Weight in Early Childhood: A Prospective Cohort Study

Epidemiological Study on Overweight and Obesity among Adolescent Boys and Girls

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