Growth Profile and Its Association with Nutrient Intake and Dietary Patterns among Children and Adolescents in Hail Region of Saudi Arabia

Al-Shammari, Eyad; Epuru, Suneetha; Adnan, Mohd; Khan, Saif; Alazzeh, Awfa Y.

doi:10.1155/2017/5740851

Cited by 24 publications

(37 citation statements)

References 22 publications

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“…On statistical analysis of distribution of Z-score in both groups was insignificant as DC group had 55% normal growth whereas HR group had 40% normal growth and very few comes under obese (35% and 50%) and underweight (10% and 10%) in both groups respectively (Table 2). Alshammariet al (2017) conducted a study on growth profile using z-scores and observed a contrast results from present study, the prevalence of 4.73% moderate and 1.54% severe underweight; 6.65% moderate and 2.59% severe stunting; 6.34% moderate and 2.55% severe wasting was present in the study population 4 . …”

Section: Results and Discussion:-contrasting

confidence: 63%

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A Comparitive Study on Nutritional, Physical and Cognitive Development of Pre-School Children Residing at Home and at Daycare Centre.

Gupta¹,

Sanghi.²

2017

IJAR

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Background: During childhood, adequate nutrition is essential to remain healthy and to ensure that our body functions properly. Therefore, for children of this age (2-5yrs), adequate amount of all essential nutrients need to be provided through the diet for maintaining their physical and mental health. Various factors which affect our body needs for different nutrients include age, gender, activity as well as the body weight, height. Aim: The present study aimed to compare nutritional profile, cognitive development and physical growth among day care (DC) and home residing children (HR). Methodology: Present study recruited 40 subjects; 20 were from day care and 20 from home residing. A pretested questionnaire was used for data collection. In Anthropometry, z-score was calculated by standard growth charts (Height-weight), nutrient intake was assessed by 24 hrs-dietary recall and cognitive development was analyses by pretested questionnaire (10 items). Result: Both groups (DC and HR) were age-sex matched. Z-score distribution in both groups was insignificant different as DC group had 55% normal growth whereas HR had 40% normal growth and very few comes under obese (35% and 50%) and underweight (10%) in both groups respectively. Cognitive score distribution in both groups was also insignificant HR group had 85% children who were having excellent cognitive development scores whereas 60% in DC. The nutrient intake of both groups was significantly different. Conclusion:The study shows that DC had better nutritional intake as compared to HR group whereas HR group had better cognitive score as compared to DC group. And there was no significant difference in physical profiles of both groups. The cognitive development of children is not only affected by nutrition, it is also affected by other factors like environment, breast feeding etc.

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Section: Results and Discussion:-contrasting

confidence: 63%

“…Total 40 subjects were recruited of the age 2-5 years. The Inclusion criteria of the study was 1) age should be 2-5 years, 2) willing to participate in the study and 3) should not be suffering with any chronic disease 4 . A pretested questionnaire was used for data collection.…”

Section: Designs and Methods:-mentioning

confidence: 99%

A Comparitive Study on Nutritional, Physical and Cognitive Development of Pre-School Children Residing at Home and at Daycare Centre.

Gupta¹,

Sanghi.²

2017

IJAR

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“…Fifty‐one studies met the inclusion criteria and were included in the literature review. All these studies were observational studies, 50 were cross‐sectional 17–66 and one was a case‐control design 67 . Seventeen were published in national journals and 34 in international journals.…”

Section: Resultsmentioning

confidence: 99%

“…However, significant interstudy heterogeneity was noted (I 2 = 72%) owing to differences in evaluation parameters. On the other hand, the association between father education and the prevalence of overweight and obesity in Saudi adolescents was reported in six studies 25,26,37,47,58,60,61 that indicated a statistically significant ( P = .0005) positive association between fathers with the highest level of education and odds of overweight and obesity (Table 3, Figure 5F). Low interstudy heterogeneity was noted (I 2 = 10%).…”

Section: Discussionmentioning

confidence: 98%

Prevalence and social determinants of overweight and obesity in adolescents in Saudi Arabia: A systematic review

Habbab

Bhutta

2020

Clinical Obesity

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Summary Obesity in adolescents has a serious impact later in life in the form of disturbances in health and wellbeing. We aimed to evaluate the prevalence of overweight and obesity (Ow/Ob) in Saudi adolescents and to construct an ecological model of social determinants (SDs) of Ow/Ob and evaluate current evidence of their effect on Saudi adolescents. A systematic review of literature reported up until 31 December 2018 on Ow/Ob and factors that can influence them in Saudi adolescents was conducted. Fifty‐one studies with n = 97 666 adolescents (55.6% males) were reviewed. The prevalence of Ow/Ob started off high and continued to increase over time. Most of the 49 reviewed SDs reports, from 19 studies, showed positive association between SDs constructed ecological model and Ow/Ob in Saudi adolescents. The prevalence of Ow/Ob among adolescents is a major public health problem in Saudi Arabia, is growing at an alarming rate and SDs play a significant role in this problem, and should be considered in all strategies targeting it. The constructed ecological model for SDs of Ow/Ob in adolescents can serve as a useful exploratory tool that helps investigating the multi‐faceted aetiology of adolescent Ow/Ob and facilitates the development of effective intervention and prevention programmes.

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“…59,61,63,64,66,67 Dietary patterns may also vary depending on the cultural and economic context, 52 as well as other factors, such as lifestyle and level of physical activity. Alshammari et al 44 highlighted that, currently, living standards are on the rise, leading to complex changes in diet, lifestyle, and health.…”

Section: Discussionmentioning

confidence: 99%

Dietary Patterns and Childhood Obesity Risk: A Systematic Review

2020

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Background: Childhood overweight and obesity are recognized as predictors of the risk of obesity in adulthood. The aim of this systematic literature review was to determine the association between dietary pattern and obesity risk among children. Methods: Articles were selected from databases (Cochrane Library, Lilacs, Eric, Livivo, and PubMed/Medline), without limitations regarding language or date. Database-specific search terms included the key words ''obesity,'' ''diet,'' ''dietary pattern,'' ''childhood,'' ''children,'' ''adolescents,'' and relevant synonyms. The review included studies that reported the assessment of the dietary pattern in childhood and that correlated eating patterns with the obesity risk through cluster analysis (CA) and/or factor analysis and/or principal component analysis and presented odds ratios (ORs). The methodology of the selected studies was evaluated using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies. Owing to the heterogeneity among the assessments of the association of dietary patterns and obesity, the results are described narratively. Results: Using a selection process in two phases, 16 articles were included. Fifteen studies used a cross-sectional design, and one case-control study. The included studies showed variation in sample size (range = 232 to 10,187 children/adolescents) and age (range = 1-19 years old). The studies reported between two and five dietary patterns each. The OR for the relationship between the dietary pattern and the risk of childhood obesity ranged from OR = 1.02; confidence interval (95% CI) (0.91-1.15) to OR = 3.55; 95% CI (1.80-7.03). In this study, the dietary patterns identified by the studies were given different names. The food intake patterns identified could, in most factor or CA studies, be categorized as (1) potentially obesogenic foods that increased risk of becoming overweight (including fatty cheeses, sugary drinks, processed foods, fast food, candies, snacks, cakes, animal products, whole milk, and refined grains) or (2) food classified as healthy with the weakest association with the risk of becoming overweight or obese (including low levels of sugar and fat and high levels of fruits, vegetables, whole grains, fish, nuts, legumes, and yogurt). Conclusion: Overall, the results indicated from most studies that a diet with a lower percentage of obesogenic foods should be effective in reducing the risk of developing obesity.

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Growth Profile and Its Association with Nutrient Intake and Dietary Patterns among Children and Adolescents in Hail Region of Saudi Arabia

Cited by 24 publications

References 22 publications

A Comparitive Study on Nutritional, Physical and Cognitive Development of Pre-School Children Residing at Home and at Daycare Centre.

A Comparitive Study on Nutritional, Physical and Cognitive Development of Pre-School Children Residing at Home and at Daycare Centre.

Prevalence and social determinants of overweight and obesity in adolescents in Saudi Arabia: A systematic review

Dietary Patterns and Childhood Obesity Risk: A Systematic Review

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