Risk factors for overweight and obesity: results from the 2001 National Health Survey

Brown, Alicia; Siahpush, Mohammad

doi:10.1016/j.puhe.2007.01.008

Cited by 47 publications

(45 citation statements)

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“…[52][53][54][55] Perhaps most relevant to our study is the association with fetal growth restriction. 19,56 In addition, obesity is linked to chronic illnesses 57,58 and social disadvantage, 59 which might affect the mother-infant interaction and the resources available to enhance the home environment.…”

Section: Discussionmentioning

confidence: 99%

Antenatal Antecedents of Cognitive Impairment at 24 Months In Extremely Low Gestational Age Newborns

et al. 2012

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WHAT'S KNOWN ON THIS SUBJECT: Among extremely premature infants, survival has improved, but the rate of cognitive impairment has not. Impaired cognition is the most frequent developmental problem identified in survivors. Several antenatal factors have been associated with cognitive impairment, mostly related to social disadvantage. WHAT THIS STUDY ADDS:In addition to social disadvantage, antenatal characteristics associated with cognitive impairment include maternal obesity and thrombosis of fetal stem vessels. Prenatal infection and inflammation were not associated with impaired early cognitive function among extremely preterm infants. abstract BACKGROUND AND OBJECTIVES: Extremely low gestational age neonates are more likely than term infants to develop cognitive impairment. Few studies have addressed antenatal risk factors of this condition. We identified antenatal antecedents of cognitive impairment determined by the Mental Development Index (MDI) portion of the Bayley Scales of Infant Development, Second Edition (BSID-II), at 24 months corrected age. METHODS:We studied a multicenter cohort of 921 infants born before 28 weeks of gestation during 2002 to 2004 and assessed their placentas for histologic characteristics and microorganisms. The mother was interviewed and her medical record was reviewed. At 24 months adjusted age, children were assessed with BSID-II. Multinomial logistic models were used to estimate odds ratios. RESULTS:A total of 103 infants (11%) had an MDI ,55, and 99 infants (11%) had an MDI between 55 and 69. No associations were identified between organisms recovered from the placenta and developmental delay. Factors most strongly associated with MDI ,55 were thrombosis of fetal vessels (OR 3.1; 95% confidence interval [CI] 1.2, 7.7), maternal BMI .30 (OR 2.0; 95% CI 1.1, 3.5), maternal education #12 years (OR 3.4; 95% CI 1.9, 6.2), nonwhite race (OR 2.2; 95% CI 1.3, 3.8), birth weight z score , 22 (OR 2.8; 95% CI 1.1, 6.9), and male gender (OR 2.7; 95% CI 1.6, 4.5).CONCLUSIONS: Antenatal factors, including thrombosis of fetal vessels in the placenta, severe fetal growth restriction, and maternal obesity, convey information about the risk of cognitive impairment among extremely premature newborns. Pediatrics 2012;129:494-502

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Section: Discussionmentioning

confidence: 99%

Antenatal Antecedents of Cognitive Impairment at 24 Months In Extremely Low Gestational Age Newborns

et al. 2012

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“…On the other hand, Steyn et al (1998) found out that the prevalence of underweight in men was 19% and in women 3.7%; 22% of the men were overweight and 7.9% obese, while 36.4% of women were overweight and 34.4% obese in an African sample. Brown et al (2007) focused on the rate of obesity in Australia and they reported the prevalence of obesity was 16,2% (men: 16,6%, women: 15,8% / age: 18+). Similarly, Vanasse et al (2003) found out 15,2% obesity rate for Canadian population (age: 20+).…”

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confidence: 99%

Overweightness and obesity prevalence among university students in 2015-2016 educational season

Uluöz¹

2016

HumanSciences

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The main purpose of this study is to find out the obesity prevalence among university students. In addition to the main purpose, another aims of this study is to determine the individual features of participants related to obesity such as gender, age, being an obese in family and doing physical activity.This study was performed on university students from five different faculties of Çukurova University in 2015-2016 educational season. In this study, 894 volunteer students accepted for attending to the research. The mean age of female participants was 21.39±2.53 years. However, mean of males was 22.28±2.73 years. Descriptive study design and causal comparative methods were used. The individual information form created by the researcher was used to determine the demographic characteristics of the participants. BMI was analyzed both quantitative and categorical ways in this study. WHO's classification method was used for categorizing of BMI. All findings in the study were summarized by descriptive statistical methods such as mean, standard deviation, frequency, percentage, etc. The independent sample T test, the ANOVA test, Pearson correlation test and chi-square test were used. In all analyzes, significance level was accepted as p <0.05.The mean of the BMI was calculated as 22.40±3.49 kg/m 2 . There was a statistically significant difference between the mean BMI of males (23.80±3.40 kg/m 2 ) and female participants (21,01±2,99 kg/m 2 , t(-13,043)=892, p<0.05). Also, it was found statically significant difference among BMI classification groups for gender (obesity rate of male: 4.9% ; female:1.1%) , x 2 (df=3, n=894)=101.21, p<0.05. These results have indicated that the rate of obesity among university students is lower than normal population in Turkey. At the same time the findings of this study have shown similar characteristics with the university students' of other countries reported by previous studies.In conclusion, it should be taken some measures for reducing overweightness and obesity such as increasing physical activity possibilities for people in all condition by local and central Governments, increasing the number of hours of physical education and sports lessons in schools as much as possible and the processing of these courses must be inspected strongly, more strict measures taken by the government to reduce obesity rates in society, informing and awareness of community on obesity, informing adequate and balanced nutrition by using the all media devices and facilities.

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“…However, this association disappeared after adjusting for socio-demographic factors such as income. In a national sample of Australian adults, risk for overweight and obesity was significantly reduced with participation in moderate and high levels of physical activity for females, whereas for males it only reduced risk for being obese (Brown & Siahpush, 2007).…”

Section: Acculturationmentioning

confidence: 90%

“…Given the limited resources for obesity prevention interventions, priority groups should be identified and interventions tailored to the largest extent possible to sociodemographic and lifestyle characteristics of targeted groups (Anderson, Winett, & Wojcik, 2007;Nichols and Swinburn, 2010). Research has revealed inconsistent sociodemographic risk factors for weight gain (Brown & Siahpush, 2007). Previous studies have found sociodemographic factors such as age, gender, and socioeconomic status (SES) to be associated with obesity (Ball, Mishra, & Crawford, 2002;Baum & Ruhm, 2009;Karlamangla, Merkin, Crimmins, & Seeman, 2010;Roeters van Lennep, Westerveld, Erkelens, & Van Der Wall, 2002); however, the literature is mixed in establishing associations and few studies have been conducted in the Mexican American population, and less so among Mexican…”

Section: Statement Of the Problemmentioning

confidence: 99%

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Obesity, Cardiovascular Risk Factors, and Weight Loss in a Population of Adult Mexican Americans

Rosario¹

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Risk factors for overweight and obesity: results from the 2001 National Health Survey

Cited by 47 publications

References 23 publications

Antenatal Antecedents of Cognitive Impairment at 24 Months In Extremely Low Gestational Age Newborns

Antenatal Antecedents of Cognitive Impairment at 24 Months In Extremely Low Gestational Age Newborns

Overweightness and obesity prevalence among university students in 2015-2016 educational season

Obesity, Cardiovascular Risk Factors, and Weight Loss in a Population of Adult Mexican Americans

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