Health Promotion Perspectives. 11(3):329-336. doi: 10.34172/hpp.2021.42
Factors related to dietary habits, energy drink consumption, and physical activity in marginalized Palestinian schools: A cross-sectional studySami Amer 1, Elham Kateeb 2, *
1MIT Media Lab, Massachusetts Institute of Technology, 77 Massachusetts Avenue Cambridge, MA 02139, USA
2Oral Health Research and Promotion Unit, Faculty of Dentistry, Al-Quds University, Jerusalem, State of Palestine
*Corresponding Author: Elham Kateeb, Email: firstname.lastname@example.org, email@example.com
Background: The current study assessed different dietary habits, energy drinks intake, body mass index (BMI) and physical activity and associated factors among Palestinian adolescents attending marginalized schools.
Methods: A cross-sectional study targeted a random sample of 1480 students in the sixth andninth grades attending 20 marginalized public schools in the West Bank area of the occupied Palestinian Territories (oPt). Students were interviewed in-person by trained senior dental students about their dietary habits, physical activity, fathers’ employment and mothers’ level of education. Weight and height were measured, and BMI percentile was calculated. Descriptive statistics were generated for the study’s main variables and the dependent variables were compared by grade, gender, mothers’ level of education and father’s employment.
Results: A total of 1282 students (98% response) completed the questionnaire. Of them, 6% were ‘underweight’ (fifth percentile or under) and 34% were ‘overweight’ or ‘obese’ (85thpercentile or over). Ninth graders had more added sugar than 6th graders (P=0.002), less frequent milk consumption (P<0.001), more frequent energy drink consumption (P=0.001),and less physical activity (P<0.0001). Frequency of carbonated and sweetened drink consumption was associated with being overweight or obese (P=0.016, P=0.001). Frequency of carbonated drinks consumption was higher among children of mothers with a high school level of education or less (P<0.001). In addition, children of mothers educated to high school level or below were associated with being underweight (P=0.05).
Conclusion: Dietary habits and physical activity get worse between the ages of 12 and 15. Mothers’ level of education is an important factor in being overweight or underweight. Energy drink consumption among boys and milk consumption among girls are two challenges that need to be addressed urgently and adequately.
Diet habits, Physical activity, Body mass index, Energy drinks, Adolescents health
© 2021 The Author(s).
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Obesity was classified by the World Health Organization (WHO) as one of the public health threats in the 21st century. Different physical, social and psychological negative outcomes were associated with obesity. Cardiovascular disorders,
Type II diabetes,
complications, certain types of cancers
are common consequences of obesity. In addition, being overweight or obese among schoolchildren was associated with diminished quality of life,
risk of adverse emotional states,
bullying and social isolation.
Several factors contribute to globally accelerated trends of overweight and obesity in children and adolescents. These include genetic, metabolic, behavioral, environmental, socio-cultural, and socioeconomic factors. Although increased body weight is a multi-factorial process, unfavorable dietary habits and/or inadequate physical activity can be considered two main mediators of this condition.
Key characteristics of adolescents’ dietary habits usually include snacking, skipping breakfast, dieting and adoption of specific diets.
In addition, previous literature found that quality of diet and physical activity among adolescents is usually associated with their mothers’ educational levels and family incomes.
Moreover, the current data on obesity transition suggest that a representative 77.5% of the world’s population usually goes from high prevalence of obesity with marked variation among age groups and gender to less prevalent obesity with more equal distribution among age and gender.
All previous factors are heavily influenced by cultural and social norms within a particular society, which makes studying dietary habits, physical activity and their related influencers an important area of research in order to understand social determinants of health and predictors of disease within a certain population.
In addition to previous factors, the WHO’s Commission on Social Determinants of Health indicates that political conflict can hinder access to health facilities and is considered detrimental to health.
Previous data on dietary habits and physical activities among Palestinian adolescents were usually carried out in particular geographic areas, mainly Area A and B, with no focus on schoolchildren living in disadvantaged areas, found in Area C.
In the Occupied Palestinian Territories (oPt), many areas that are under conflict and political unrest suffer from challenging health, social services and interventions delivery due to the socio-political and administrative context, and restrictions in movement and transportation. A clear example of these conditions is found in Area C in the oPt.
The Oslo Accords, in order to achieve resolution to conflict in the oPt for a transitional period, divided the oPt into three zones: Area A, consisting of only 3% of the land, “where the Palestinian National Authority (PA) assumed control of all civilian administration, including health and security”
; Area B, consisting of 27% of the land, “where the PA has civilian authority, but shares security responsibility with Israel”
; and Area C, “where the PA has no control over the remaining 70% of land”.
Therefore, the current study assessed different dietary habits, energy drinks intake, body mass index (BMI) and physical activity and associated factors among Palestinian adolescents attending marginalized schools in the West Bank area of the Palestinian territories, mainly Area C schools. Schools were categorized as marginalized by the School Support Program (SSP) implemented by the American-Middle East Educational and Training Services, Inc (ANIDEAST)/Palestine.
Materials and Methods
This is a cross-sectional study that was conducted in 20 marginalized schools in the West Bank area of oPt. The SSP is a United States Agency for International Development (USAID)-funded initiative launched in 2013 and executed by AMIDEAST/Palestine in partnership with the Save the Children Organization.
The SSP, in collaboration with the Palestinian Ministry of Education (MOE), identified the 50 most educationally marginalized schools out of 1700 schools in the West Bank area of the oPt. Selection criteria were based on poverty, educational achievement, drop-out rates, infrastructure needs, building status, limited access, economic marginalization, and under-qualified teachers.
Most of the schools included in the SSP are in Area C according to the Oslo Accord.
Maps of school districts included in the sample and Areas A, B and C according to the Oslo Accords are shown in .
Demonstration of school districts, number of students in each district and areas A,B and C according to Oslo Accord. The map on the right shows school districts included in the sample and number of students in each school district. The map on the left shows the distribution of Area A,B and C according to Oslo Accord
Out of the 50 SSP marginalized schools, a cluster stratified sampling technique was used to select representative schools for age, gender and education districts of the MOE. The target population in this study were students in sixth and ninth grades in the 50 SSP marginalized schools (n = 4688). The final selected 20 schools were representative of MOE educational districts for both genders and grade levels in the West Bank area of the oPt (n = 12 districts) which included 1480 students (the final sample was selected proportionally to the number of students in each district). Sample size calculation was carried out on our target population (n = 4688) using 95% confidence level and 3% margin of error. A minimum sample of 870 students was needed to ensure the accuracy of the results in the current study.
All students in sixth and ninth grades in the sampled schools were recruited and consent forms were sent to students’ parents to approve students’ participation. Only healthy students with no systemic conditions were included in the final analysis. A flow chart detailing the sampling technique is shown in .
Flow chart about the stratified cluster sampling technique used in this study
Students in the sixth and ninth grades were interviewed in-person by senior dental students as part of a bigger survey that addressed schoolchildren’s oral health status and dietary habits between January and December, 2018. Senior dental students were trained on how to use the structured survey in two-hour training sessions. Dietary habits questions used in the instrument were adapted after a published survey that was validated in the Palestinian community.
The final draft of the questionnaire was additionally checked for content validity by six experts in the field of Public Health and Nutrition to check suitability of the questions to the population under study. Face validity was conducted to double check question clarity. This was done by pilot testing the survey with 30 students of the same ages as those in our target population sample. Questions were reviewed and modified according to the feedback obtained from the validation process.
Questions in this instrument covered specific demographic data such as gender, grade level, father’s employment status and mother’s education level. Dietary habit questions included inquiries about number of meals, snacks and frequency of some dietary intake such as milk, fruits and vegetables, added sugars and energy drinks, among others. A detailed list of the dietary assessment items are presented in Tables 1 and 2. In addition, a question was included that assessed amount of physical activity per week. Physical activity was dichotomized to 5 or more times per week and less than 5 times per week based on a methodology used in a nutritional national survey of Palestinian children.
Dietary habits among sixth and ninth graders attending SSP marginalized schools, n=1280
6th Grade n=623
9th Grade n=659
|Sugar (spoons/day)||2.3 ± 1.8||2.7 ± 3.3||.002**|
|Sweets and chocolates/day||1.0*(1-2)||1.0*(1-2)||.189|
|Fruits and Vegetables (freq./week)||7.2 ± 6.3||7.5 ± 6.4||.436|
|Nuts and Pulses (freq./week)||2.0*(1-3)||2.0*(1-3)||.103|
|Non-Vegetarian foods (freq./week)||4.7 ± 3.3||4.9 ± 3.8||.381|
|Junk foods (freq./week)||1.3 ± 1.8||1.4 ± 2.1||.252|
|Carbonated Drinks (freq./week)||2.0* (1-7)||3.0*(1-7)||.146|
|Sweetened Juices (freq./week)||3.0*(1-7)||3.0* (1-7)||.207|
|Energy Drinks (freq./week)||0.0* (0-0)||0.0* ± (0-0)||.001***|
|Fresh Fruit Juices (freq./week)||1.0*(0-3)||1.0*(0-2)||.01***|
|Physical Activity (freq./week)||4.7 ± 3.0||3.8 ± 3.1||.001**|
* Median (25th-75th quartiles), ** Independent Samples t-test, *** Mann-Whitney U-Test
Dietary habits among girls and boys attending SSP marginalized schools, n=1280
|Sugar (spoons/day)||2.9 ± 2.8||2.1 ± 2.5||.001 **|
|Milk (cups/week)||0.0* (0-1)||0.0* (0-1)||.001 ***|
|Sweets and chocolates/day||1.8 ± 1.8||1.8 ± 1.7||.481|
|Fruits and Vegetables (freq./week)||7.3 ± 6.8||7.4 ± 5.7||.926|
|Nuts and Pulses (freq./week)||2.8 ± 2.7||2.4 ± 2.8||.004**|
|Non-Vegetarian foods (freq./week)||4.9 ± 3.8||4.5 ± 3.2||.030 **|
|Junk foods (freq./week)||1.0* (0-2)||1.0* (0-1)||.001 ***|
|Carbonated Drinks (freq./week)||4.5 ± 4.2||2.8 ± 3.2||.001 **|
|Sweetened Juices (freq./week)||4.0 ± 3.9||3.4 ± 3.1||.001**|
|Energy Drinks (freq./week)||0.0* (0-1)||0.0* (0-0)||.001 ***|
|Fresh Fruit Juices (freq./week)||1.0* (0-2)||1.0* (0.5-3)||.091|
|Physical Activity (freq./week)||4.9 ± 3.1||3.5 ± 2.9||.001**|
* Median (25th-75th quartiles), ** Independent Samples t-test, *** Mann-Whitney U-Test
Senior dental students were trained to measure weight and height of school children on the school visit day. Children’s height was taken with their shoes on and having them stand with their feet together on an uncarpeted floor with the head, shoulders, back and heels placed against a flat wall surface. A manually calibrated scale was used to measure students’ weight. All measurements were taken before students’ lunch break. Measure of children’s weight was obtained in kilograms. Children’s height was measured in centimeters. BMI was calculated by dividing the weight by the height squared and multiplying that total by 10 000. The resultant value was then used to determine where the student fell, percentagewise, among children of the same sex and age group.
Those percentiles were used to determine the child’s weight category as follows: “Underweight”: BMI of less than the fifth percentile; “Normal Weight”: BMI from the fifth percentile to below the 85th percentile; “Overweight”: BMI above the 85th percentile to below the 95th percentile; “Obese”: BMI greater than or equal to the 95th percentile.
Parental informed consents were collected by school administrative staff before the school visits.
All data was recorded using paper sheets and then transferred to an SPSS sheet. Dietary habits were described using proportions and percentages for categorical variables and mean, and standard deviation for continuous variables. To explain variations in dietary habits and BMI, bivariate analysis (Independent samples t test) was used to relate these variables with children’s demographic factors (gender and grade), fathers’ employment and mothers’ education. For the sake of the current analysis, father’s employment variable was dichotomized as: regularly employed, irregular employment and unemployed (combined) and mother’s education level was dichotomized to: high school diploma (or less) or beyond high school. All analyses were carried out using the Statistical Package for the Social Sciences (SPSS) version 24 (SPSS Inc. Chicago, IL, USA, 2020)
and significance level was set to 0.05.
Of the 1308 students who submitted a signed consent form to the school administration, a total of 1282 students completed the questionnaire: a response rate of 98%. Fifty percent of the sample were males and 51.4% were ninth graders. Fifty-one percent of the students had fathers who were unemployed or who had non-regular jobs, 46% of the sample had mothers with lower than a high school education and 34% had mothers with only a high school diploma.
Of our sample, 6% (n = 77 out of 1282) were underweight and 34% (n = 436 out of 1282) were overweight or obese. Among sixth graders, 43% (155 of 360) of the boys and 24% (59 of 247) of the girls were overweight or obese (P = 0.001). The opposite was true for ninth graders; 20% (54 of 268) of the boys and 42% (158 of 377) of the girls were overweight or obese (P < 0.001).
Sixty-nine percent (n = 888) of the study sample had 3 meals per day, 26.8 % (n = 342) had two and almost 4% (n = 49) had one meal per day. Eighty-five percent (n = 1091) indicated that they snack between meals. Among sixth graders, 51.5% (n = 321) consumed milk daily and among ninth graders, 36.6 % (n = 241) consumed milk daily. Energy drinks were consumed by almost 12% (n = 74) in sixth grade and 20% (n = 132) in ninth grade. Table 1 details the dietary habits among female and male students in the study sample and Table 2 details dietary habits among sixth and ninth graders in the current study sample.
Bivariate analysis showed that ninth graders had more added sugar in their diet than sixth graders (P = 0.002), less milk consumption (P < 0.001), more energy drink consumption (P < 0.001), less fresh juice consumption (P < 0.01), and less physical activity (P < 0.001) (Table 1).
Consumption of carbonated and sweetened drinks was associated with being overweight or obese (P = 0.016, P < 0.001).
Consumption of carbonated drinks was higher among children of mothers with a high-school education than among children of mothers with college degrees (P < 0.001). In addition, underweight children were associated with mothers educated to high school level or below (P = 0.05). Students with fathers who were unemployed or had irregular jobs compared to students with fathers who had regular jobs consumed more junk food (P = 0.04),more carbonated drinks (P = 0.01) and more sweetened juices (P = 0.02).
When comparing male and female students, male students consumed more added sugars (P < 0.001), more sweetened juices (P = 0.001), more junk food (P < 0.001), more carbonated drinks (P < 0.001), more energy drinks (P < 0.001), more non-vegetarian foods (P = 0.03), more nuts and legume (P = 0.004), more milk consumption (P < 0.001) and engaged in more physical activity (P < 0.001) (Table 2).
Although many studies addressed dietary habits and nutritional practices among Palestinian children, this study is unique because it focused on students in marginalized schools, mainly located in Area C of the West Bank of the oPt.
The health system in the oPt, in general, is operating under severe pressure because of the occupation, blockade, rapid population growth, dearth of financial resources and scarcities in basic supplies.
In the West Bank, the legislative and physical divisions according to the Oslo Accords have created particularly vulnerable populations in Area C. Of approximately 330 000 Palestinian residents in these areas, 114 000 (35%) have limited access to primary health care services.
In 2017, in response to a question to women living in Area C asking “what specific aid the priority for their households was”,
health infrastructure was the number one priority indicated by almost 25% of the women respondents.
This indicates that health inequality exists with worse health indicators for populations living in Area C, compared to the Palestinian average in the West Bank area.
Health inequality affects access to essential primary and promotional health interventions. These services are necessary for parents and children to promote healthy living, including favorable dietary habits and physical activities. Results in this study suggest that dietary habits worsen between the ages of 12 years and 15 years. Consumption of energy drinks and carbonated drinks increased significantly between sixth and ninth graders. Twenty percent of ninth graders in the current study consumed at least one energy drink per week compared to 14.7% of US adolescents (grades 6-12) in a population-based study.
In addition to negative health side effects of energy drink consumption, likelihood of depression and other behavior problems was associated with higher frequency of energy drink consumption.
Interestingly, results in this study are the first to quantify energy drink consumption among Palestinian adolescents; however, there were a few studies globally
that indicated high consumption of carbonated drinks among this age group, especially boys,
which agrees with the current study’s results.
On the other hand, compared to 44% of adolescents in the current study who consumed milk daily, a study conducted among schoolchildren aged 13-15 years old in public and private schools in the three biggest governorates of the West Bank (Ramallah, Nablus and Hebron) reported only 25% of the study sample consumed milk on a daily basis.
This can be explained by the difference in urbanicity level and related dietary habits between Area C, which is mainly rural, and the urban clusters in the three large cities of Ramallah, Nablus and Hebron. However, in both studies, boys consumed more milk than girls, and in the current study milk consumption decreased significantly between sixth and ninth grades.
In general, boys in the current study’s sample consumed more added sugar and more junk food than girls and consumed as much fruit as girls. However, fruit consumption in both girls and boys needs to be more promoted to reach the level recommended by the WHO of 400 g or five portions per day for this age group.
Regarding physical activity, 45% of the current sample had some sort of physical activity 5 times or more per week compared to 22% in a study conducted in East Jerusalem in the 11 to 16-year-old age group in 2002,
and 20% in a national survey conducted in 2005 among students in grades 6-12.
In line with the other studies,
in Palestine, our results showed that boys are significantly more active than girls. What is interesting, again, is that physical activity decreased significantly between sixth and ninth grades.
When we attempted to explain factors related to favorable dietary habits and physical activity, this study’s results agreed with previous studies on the positive effect of mothers’ education level on normal weight, favorable dietary habits and physical activity.
Six percent in this study were underweight compared to 3% in United Nations Relief and Works Agency (UNRWA) schools (which serve only Palestinian refugees in camps) in the same age group (6th and 9th grades),
and 4.8% in East Jerusalem in a wider age group (11–16-year-olds).
Twenty-five percent were overweight in this study compared to 12% in UNRWA schools
and 24% in East Jerusalem schools.
Obesity was found in 9% of the current sample compared to 6% in UNRWA schools
and 10% in East Jerusalem.
In general, and according to a global study that pooled data from 200 countries, average obesity in the Middle East, North Africa and the United States was around 20%.
Although this study has a good sampling technique that produced an adequate representative sample of students in marginalized schools according to the SPP and MOE definitions, the data collected was cross-sectional and did not cover all aspects of an essential nutritional evaluation. The bidirectional nature of data collected made confirming associations between demographic characteristics and dietary habits somewhat challenging. However, this study succeeded in describing some important dietary habits and physical activities for this vulnerable population which needs special attention given the political and health conditions under which they suffer.
In conclusion, dietary habits in this sample were not satisfactory compared to health organizations standards; however, they were still better than other parts of the oPt. What is interesting is the disparity in healthy eating and physical activity between boys and girls in this age group and the deterioration of healthy food habits and physical activity between the ages of 12 and 15 (grades 6 and 9). Unfavorable habits are usually related to personal, social, and environmental impediments to accessing healthy food choices and physical activity among this age group.
Lack of awareness, motivation, support and time devoted to practice sports and prepare healthy meals were the main barriers to healthy eating and physical activity among both genders in a cross-country evaluation of seven Arab countries.
In general, girls faced more barriers to physical activity than boys in the seven countries included in the previous study.
In addition to previous identified factors, Palestinian adolescents face extra burdens of occupation, blockade, check points and the weak primary health care system in most of the oPt areas, especially Area C.
In this sample, our results suggest that dietary habits and physical activity worsen between the ages of 12 and 15. Mothers’ level of education is an important factor in being overweight or underweight. Energy drink consumption among ninth graders, and milk consumption and physical activity among girls in general, are two challenges found in this study which need to be addressed urgently and adequately in any health promotional activity targeting marginalized schools in the West Bank area of the oPt. These promotions should start as early as elementary school and focus on ages 12-15 years.
The authors would like to thank Dr. Abdallah Hassan, Mrs. Fidah Musa and dental students at Al-Quds University (Palestine) who contributed to making this work possible.
This study received a partial funding from AMIDEAST SSP.
The authors declare that they have no competing interests.
Ethical approval for all aspects of the study was obtained from Al-Quds University Scientific Research Ethics Committee with reference number 32/REC/2018. In addition, an administrative approval to conduct the study in the sampled schools was obtained from the Palestinian Government MOE.
SA participated in conceptualization, data curation, methodology, writing-original draft; EK is the supervisor of this project and contributed to the methodology, supervision, validation and writing and editing.
Data Availability Statement
The data that supports the findings of this study are available from the corresponding author upon reasonable request.
- Freedman DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999; 103(6 Pt 1):1175-82. doi: 10.1542/peds.103.6.1175 [Crossref]
- Fagot-Campagna A, Pettitt DJ, Engelgau MM, Burrows NR, Geiss LS, Valdez R. Type 2 diabetes among North American children and adolescents: an epidemiologic review and a public health perspective. J Pediatr 2000; 136(5):664-72. doi: 10.1067/mpd.2000.105141 [Crossref]
- Figueroa-Muñoz JI, Chinn S, Rona RJ. Association between obesity and asthma in 4-11 year old children in the UK. Thorax 2001; 56(2):133-7. doi: 10.1136/thorax.56.2.133 [Crossref]
- Strauss RS, Barlow SE, Dietz WH. Prevalence of abnormal serum aminotransferase values in overweight and obese adolescents. J Pediatr 2000; 136(6):727-33.
- Adelman RD, Restaino IG, Alon US, Blowey DL. Proteinuria and focal segmental glomerulosclerosis in severely obese adolescents. J Pediatr 2001; 138(4):481-5. doi: 10.1067/mpd.2001.113006 [Crossref]
- Chan G, Chen CT. Musculoskeletal effects of obesity. Curr Opin Pediatr 2009; 21(1):65-70. doi: 10.1097/MOP.0b013e328320a914 [Crossref]
- Choudhary AK, Donnelly LF, Racadio JM, Strife JL. Diseases associated with childhood obesity. AJR Am J Roentgenol 2007; 188(4):1118-30. doi: 10.2214/ajr.06.0651 [Crossref]
- Daniels SR, Arnett DK, Eckel RH, Gidding SS, Hayman LL, Kumanyika S. Overweight in children and adolescents: pathophysiology, consequences, prevention, and treatment. Circulation 2005; 111(15):1999-2012. doi: 10.1161/01.cir.0000161369.71722.10 [Crossref]
- de Onis M, Blössner M, Borghi E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr 2010; 92(5):1257-64. doi: 10.3945/ajcn.2010.29786 [Crossref]
- Ul-Haq Z, Mackay DF, Fenwick E, Pell JP. Meta-analysis of the association between body mass index and health-related quality of life among children and adolescents, assessed using the pediatric quality of life inventory index. J Pediatr 2013; 162(2):280-6. doi: 10.1016/j.jpeds.2012.07.049 [Crossref]
- Tsiros MD, Olds T, Buckley JD, Grimshaw P, Brennan L, Walkley J. Health-related quality of life in obese children and adolescents. Int J Obes (Lond) 2009; 33(4):387-400. doi: 10.1038/ijo.2009.42 [Crossref]
- Strauss RS. Childhood obesity and self-esteem. Pediatrics 2000; 105(1):e15. doi: 10.1542/peds.105.1.e15 [Crossref]
- Hill AJ, Silver EK. Fat, friendless and unhealthy: 9-year old children’s perception of body shape stereotypes. Int J Obes Relat Metab Disord 1995; 19(6):423-30.
- Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev 2004; 5 Suppl 1:4-104. doi: 10.1111/j.1467-789X.2004.00133.x [Crossref]
- Hoelscher DM, Kirk S, Ritchie L, Cunningham-Sabo L. Position of the Academy of Nutrition and Dietetics: interventions for the prevention and treatment of pediatric overweight and obesity. J Acad Nutr Diet 2013; 113(10):1375-94. doi: 10.1016/j.jand.2013.08.004 [Crossref]
- Shepherd R, Dennison CM. Influences on adolescent food choice. Proc Nutr Soc 1996; 55(1B):345-57. doi: 10.1079/pns19960034 [Crossref]
- Tur JA, Puig MS, Benito E, Pons A. Associations between sociodemographic and lifestyle factors and dietary quality among adolescents in Palma de Mallorca. Nutrition 2004; 20(6):502-8. doi: 10.1016/j.nut.2004.03.009 [Crossref]
- Ahmed F, Zareen M, Khan MR, Banu CP, Haq MN, Jackson AA. Dietary pattern, nutrient intake and growth of adolescent school girls in urban Bangladesh. Public Health Nutr 1998; 1(2):83-92. doi: 10.1079/phn19980014 [Crossref]
- Giskes K, Turrell G, Patterson C, Newman B. Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults. Public Health Nutr 2002; 5(5):663-9. doi: 10.1079/phn2002339 [Crossref]
- Jaacks LM, Vandevijvere S, Pan A, McGowan CJ, Wallace C, Imamura F. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol 2019; 7(3):231-40. doi: 10.1016/s2213-8587(19)30026-9 [Crossref]
- Tellez M, Zini A, Estupiñan-Day S. Social determinants and oral health: an update. Curr Oral Health Rep 2014; 1(3):148-52. doi: 10.1007/s40496-014-0019-6 [Crossref]
WHO Regional Office for the Eastern Mediterranean. Social Determinants of Health in Countries in Conflict: A Perspective from the Eastern Mediterranean Region. Cairo, Egypt: WHO Regional Office for the Eastern Mediterranean; 2008.
Declaration of Principles on Interim Self-Government Arrangements (Oslo Accords). United Nations Peacemaker, September 13th, 1993. Available from: https://peacemaker.un.org/israeloPt-osloaccord93. Accessed August 23, 2020.
Program of Assistance to the Palestinian People. Palestinian economy. Country: land, people and government. Available from: https://unctad.org/en/PublicationsLibrary/tdb64d4_embargoed_en.pdf. Accessed August 25, 2020.
School Support Program, AMIDEAST, Palestine. Success stories. Twelve Years of Reforming Education in Palestine. October 1, 2018. Available from: https://www.amideast.org/news-resources/success-stories/12-years-of-reforming-education-in-palestine. Accessed September 10, 2020.
- Al Sabbah H, Vereecken C, Kolsteren P, Abdeen Z, Maes L. Food habits and physical activity patterns among Palestinian adolescents: findings from the national study of Palestinian schoolchildren (HBSC-WBG2004). Public Health Nutr 2007; 10(7):739-46. doi: 10.1017/s1368980007665501 [Crossref]
- Grossman DC, Bibbins-Domingo K, Curry SJ, Barry MJ, Davidson KW, Doubeni CA. Screening for obesity in children and adolescents: US Preventive Services Task Force recommendation statement. JAMA 2017; 317(23):2417-26. doi: 10.1001/jama.2017.6803 [Crossref]
Centers for Disease Control and Prevention (CDC). Defining Childhood Obesity. Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion. Available from: https://www.cdc.gov/obesity/childhood/defining.html. Accessed February 27, 2021.
IBM Corp. IBM SPSS Statistics for Windows (Version 24.0). Armonk, NY: IBM Corp; 2016.
The United Nations Office for the Coordination of Humanitarian Affairs. Occupied Palestinian Territories. Health and Nutrition. Available from: https://www.ochaoPt.org/theme/health-and-nutrition. Accessed September 26, 2020.
Health conditions in the occupied Palestinian territory, including east Jerusalem, and in the occupied Syrian Golan. Report by the Director General. World Health Organization. Available from: https://apps.who.int/gb/ebwha/pdf_files/WHA72/A72_33-en.pdf. Accessed October 2, 2020.
Hammami R, Giacaman RA. Addressing the Needs of Palestinian Households in Area C of the West Bank. Findings of the First Comprehensive Household Survey. Joint project of the Institute of Women’s Studies & the Development Studies Center at Birzeit University on behalf of Oxfam. January 2019. Available from: http://healthclusteroPt.org/admin/file_manager/uploads/files/1/5c91e3b44a3c7.pdf. Accessed October 2, 2020.
- Larson N, DeWolfe J, Story M, Neumark-Sztainer D. Adolescent consumption of sports and energy drinks: linkages to higher physical activity, unhealthy beverage patterns, cigarette smoking, and screen media use. J Nutr Educ Behav 2014; 46(3):181-7. doi: 10.1016/j.jneb.2014.02.008 [Crossref]
- Hammond D, Reid JL, Zukowski S. Adverse effects of caffeinated energy drinks among youth and young adults in Canada: a Web-based survey. CMAJ Open 2018; 6(1):E19-E25. doi: 10.9778/cmajo.20160154 [Crossref]
- Mikki N, Abdul-Rahim HF, Shi Z, Holmboe-Ottesen G. Dietary habits of Palestinian adolescents and associated sociodemographic characteristics in Ramallah, Nablus and Hebron governorates. Public Health Nutr 2010; 13(9):1419-29. doi: 10.1017/s1368980010000662 [Crossref]
Increasing fruit and vegetable consumption to reduce the risk of noncommunicable diseases. e-Library of Evidence for Nutrition Actions (eLENA). World Health Organization. Available from: https://www.who.int/elena/titles/fruit_vegetables_ncds/en/. Accessed October 2, 2020.
- Jildeh C, Papandreou C, Abu Mourad T, Hatzis C, Kafatos A, Qasrawi R. Assessing the nutritional status of Palestinian adolescents from East Jerusalem: a school-based study 2002-03. J Trop Pediatr 2011; 57(1):51-8. doi: 10.1093/tropej/fmq042 [Crossref]
- Abudayya AH, Stigum H, Shi Z, Abed Y, Holmboe-Ottesen G. Sociodemographic correlates of food habits among school adolescents (12-15 year) in North Gaza Strip. BMC Public Health 2009; 9:185. doi: 10.1186/1471-2458-9-185 [Crossref]
- Massad S, Deckelbaum RJ, Gebre-Medhin M, Holleran S, Dary O, Obeidi M. Double burden of undernutrition and obesity in Palestinian schoolchildren: a cross-sectional study. Food Nutr Bull 2016; 37(2):144-52. doi: 10.1177/0379572116637720 [Crossref]
- Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390(10113):2627-42. doi: 10.1016/s0140-6736(17)32129-3 [Crossref]
- Musaiger AO, Al-Mannai M, Tayyem R, Al-Lalla O, Ali EY, Kalam F. Perceived barriers to healthy eating and physical activity among adolescents in seven Arab countries: a cross-cultural study. ScientificWorldJournal 2013; 2013:232164. doi: 10.1155/2013/232164 [Crossref]