The sociodemographic correlates of nutritional status of school adolescents in Jiangsu Province, China

Shi, Zumin; Lien, Nanna; Kumar, Bernadette Nirmal; Dalen, Ingvild; Holmboe‐Ottesen, Gerd

doi:10.1016/j.jadohealth.2004.10.013

Cited by 50 publications

(46 citation statements)

References 27 publications

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“…Also, females are less likely to engage in school sports compared to males but they engage more in household chores. It is however different from what has been found among adolescents in some developed countries particularly in USA and some developing countries where more males were documented to have overnutrition 4,5,[20][21][22] . The finding that fewer females are overweight or obese in USA and some other developed countries may be related to the societal and media promotion/ approval of thinness among females in such cultures.…”

Section: Methodscontrasting

confidence: 57%

Factors associated with adolescent malnutrition among Nigerian students

Abdulkarim

Otuneye

Ahmed

et al. 2016

Bangladesh J Med Sci

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Abstract:Objectives: The objective of this study was to determine the factors associated with malnutrition among adolescents. Design: This was a cross-sectional study conducted among adolescents (10-19 years) in secondary schools. A multistage sampling technique was employed. Setting: Senior secondary schools in The Abuja Municipal area council, Federal Capital Territory, Nigeria. Participants: A total of 1700 students from 8 selected schools. All schools in the Abuja Municipal Area council (AMAC) were stratified into urban and rural schools. Eight schools were selected by balloting from a list of schools obtained from the Education centre. A school was selected from each of the four major districts of AMAC and four schools were selected from the rural making a total of 8 schools. Although the consent of the school authorities was obtained, individual subject also consented to the study before being enrolled. Study: The study excluded those adolescents who were physically challenged thus limiting physical activity. Sociodemographic information was obtained using an interviewer administered questionnaire. Subject's height and weight was taken using the floor-type height (H) and weight (W) measuring scale model ZT-120 using Massachusetts Department of Public Health Protocol. Main outcome measure: The nutritional status was determined using the formula: BMI= W/H 2 , where W=weight (in kilograms) and H=height (in meters). The age and sex specific height and BMI percentile for each subject was determined using the 2007 WHO Height and BMI growth charts for age 5-19 years. The students were then classified into one of the following categories using previously used standards: normal, stunted, wasted, overweight or obese. Data was analyzed using SPSS version 17 statistical package. A regression analysis of all investigated factors was done to determine those with significant association to malnutrition. Results: The mean age was 14.43±1.94 years; male 688, female 862, M:F ratio 1.1.3. Mean BMI, weight and height were 20.31±3.07kg/m 2 , 51.07±10.80 kg, and 157.88±9.33 cm. The prevalence of overweight, stunting, obesity and wasting was documented as 13.2% (205/1550), 11.3% (175/1550), 2.6% (41/1550) and 1.7% (27/1550) respectively. Low social class, male gender, hawking after school and rural setting were associated with stunting (p<0.05) and female gender and watching Television for more than 3 hours daily were associated with overweight (p<0.05). Obesity occurred more in urban areas.

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Section: Methodscontrasting

confidence: 57%

Factors associated with adolescent malnutrition among Nigerian students

Abdulkarim

Otuneye

Ahmed

et al. 2016

Bangladesh J Med Sci

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“…In addition, in a study in the United States, there was a significant relationship between girls BMI and parents' education level (41). A study in China showed that father's education level could be associated with students' BMI (42). In this study, we did not observe a significant relationship; it can be largely attributed to the multifactorial and complex nature of the relationship between obesity and other influencing factors.…”

Section: Discussioncontrasting

confidence: 74%

“…In many studies, there are also some reports on sex differences in the prevalence of overweight/obesity (42,43). Overall, it is supposed that girls and boys are different in terms of body composition, weight gain patterns, hormonal biology, and sensitivity to social, ethnic, genetic, and environmental factors (44).…”

Section: Discussionmentioning

confidence: 99%

Socioeconomic Inequality in Overweight/Obesity and Related Factors in Adolescents in Kermanshah-Iran

Izadi

Hashemi-Nazari

Rafiee

et al. 2017

Iran Red Crescent Med J

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“…The STL index used to measure family affluence in the present study is amenities based, and is similar to what has been used in other surveys on adolescents (20)(21)(22) . It has been proven to be useful in this age group as many adolescents are unable to provide information on their parents' occupation and income (23) .…”

Section: Discussionmentioning

confidence: 98%

Dietary habits of Palestinian adolescents and associated sociodemographic characteristics in Ramallah, Nablus and Hebron governorates

Mikki

Abdul-Rahim

Shi

et al. 2010

Public Health Nutr.

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Objective: To describe food habits and associated sociodemographic factors. Design: Cross-sectional survey in 2005. Setting: Ninety-six school classes in Ramallah, Nablus and Hebron governorates, Occupied Palestinian Territory. Subjects: Grade 8 and 9 students aged 13-15 years (n 2952). Methods: Self-administered student and parent questionnaires. Results: High standard of living (STL) index and residence in Ramallah were positively associated with intake of animal foods, Western-style foods, dairy products, fruits and vegetables, sweets and salty snacks. Only 26?1 % of the students ate three main meals daily; 26?2 % of the boys and 51?0 % of the girls had breakfast one to two times per week or less often (P , 0?001). Only one-quarter of students drank milk daily (32?9 % of boys and 18?3 % of girls, P , 0?001). The majority of students, boys and girls in similar proportions, consumed vegetables daily (72?8 % v. 73?8 %, respectively). Daily fruit consumption was also equally common among boys and girls (58?9 % v. 55?2 %, respectively), but with clear differences by STL, region and parents' education. Daily intake of sweets and salty snacks was common among girls, and daily intake of soft drinks was common among boys. Conclusions: Irregular meal patterns were common among Palestinian adolescents. High STL and residence in Ramallah were associated with frequent intake of foods high in sugar and fat, but also with frequent intake of fruits and vegetables. Effective interventions are needed to establish healthy dietary habits.

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The sociodemographic correlates of nutritional status of school adolescents in Jiangsu Province, China

Cited by 50 publications

References 27 publications

Factors associated with adolescent malnutrition among Nigerian students

Factors associated with adolescent malnutrition among Nigerian students

Socioeconomic Inequality in Overweight/Obesity and Related Factors in Adolescents in Kermanshah-Iran

Dietary habits of Palestinian adolescents and associated sociodemographic characteristics in Ramallah, Nablus and Hebron governorates

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