Obesity determinants among Malaysian 12-year old school adolescents: findings from the HAT study

Ahmad, Aryati; Zulaily, Nurzaime; Shahril, Mohd Razif; Wafa, Sharifah Wajihah; Amin, Rahmah Mohd; Piernas, Carmen; Ahmed, Amran

doi:10.1186/s12887-021-02899-3

Cited by 5 publications

(9 citation statements)

References 35 publications

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“…The convenient and constant self-tracking function would also encourage sustaining the newly adopted healthy lifestyle, including a higher number of walk counts (Attig et al, 2019). The introduction of wearable devices, therefore, offers a new possibility for effective technology intervention to promote physical activity (Naglis & Bhatiasevi, 2019) due to physical inactivity being the largest risk factor contributing to the prevalence of diabetes in Malaysia (Ahmad et al, 2021;WHO, 2016).…”

Section: Health Behaviourmentioning

confidence: 99%

It’s Cool to be Healthy! The Effect of Perceived Coolness on the Adoption of Fitness Bands and Health Behaviour

Noor

Zolkepli

Omar

2023

Journal of Information and Communication Technology

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Contemporary technology success is frequently associated with the competitive advantage of being cool. A fitness band is one of thesmart wearable devices promoting health behaviours, which is one of the cool lifestyle trends in modern societies. Although past research established the profound effects of coolness on user technology acceptance, the influencing role in fostering health behaviour remained obscure. To bridge the existing literature gap, the current study aims to examine the perception of coolness as a higher-order construct with multiple dimensions, namely originality, attractiveness, and sub-cultural appeals, by investigating the direct effect on fitness band adoption and indirect influence on users’ health behaviour. An online survey was conducted on 280 fitness band users, and the data was subsequently analysed via the Partial Least Squares-Structural Equation Modeling (PLS-SEM). The study results demonstrated that the perceived coolness of fitness bands significantly affects users’ device adoption levels, which subsequently influence personal health behaviour. This study thus contributes to health communication research by testing the coolness concept and developing the diffusioninnovation framework from current human-computer interaction literature. The findings would guide future developers of fitness bands to emphasise the coolness functions for higher degrees of adoption and positive impact on society.

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Section: Health Behaviourmentioning

confidence: 99%

It’s Cool to be Healthy! The Effect of Perceived Coolness on the Adoption of Fitness Bands and Health Behaviour

Noor

Zolkepli

Omar

2023

Journal of Information and Communication Technology

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“…This is due to the high energy content in food and drinks, which results in a positive energy balance [ 11 ]. A study on school adolescents in Malaysia found that consuming dairy products and milk among adolescents was positively associated with obesity [ 12 ]. The quality of the diet is also associated with the risk of obesity and the correlation between dietary habits and the prevalence of overweight and obesity has been well-established in the literature [ 13 ].…”

Section: Risk Factorsmentioning

confidence: 99%

“…Research has shown that higher pre-pregnancy BMI directly correlates with childhood obesity [ 24 ]. It has also been found that parental BMI can substantially affect their children’s body weight [ 12 ]. It is thought that fetal growth contributes to the development of lean body mass later in life, making intrauterine life an important period for developing childhood obesity [ 25 ].…”

Section: Risk Factorsmentioning

confidence: 99%

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Risk Factors, Clinical Consequences, Prevention, and Treatment of Childhood Obesity

et al. 2022

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Obesity might adversely affect the health and well-being of children and their families. Childhood obesity has crucial implications for health, both during childhood and as they age. It is highly associated with many acute problems and is commonly present during childhood, making visits and hospital admissions polarized in this group of children. The problems that may affect these children can be medical, such as asthma, chronic inflammation, orthopedic abnormalities, liver disease, diabetes mellitus or dyslipidemia. Long-term consequences of cardiovascular risk factors, the persistence of obesity and premature mortality are common among adults who had obesity during their early lives. Additionally, they could also suffer from psychological issues, such as low self-esteem, which puts them at risk of a much more serious psychosocial problem that may lead to depression, as well as a disruption in educational achievements and social relationships. A healthy diet, physical activity, adequate sleep, and limited screen time are all preventive measures that should be implemented at the family and community levels, preferably through well-structured programs. Furthermore, pharmacological management of childhood obesity is limited and only used after non-pharmacological interventions have failed or in the late stages of obesity. However, recent guidelines advocate the early use of medical interventions. Approved pharmacotherapeutic options include orlistat, phentermine/topiramate combination and liraglutide. There are several other options approved primarily for other specific forms of obesity or for other indications, including setmelanotide, metformin, lisdexamfetamine, zonisamide and fluoxetine. Bariatric surgery is a safe and effective option in cases with extreme obesity and comorbidities considering the need for long-term monitoring and support for cases and their families post-surgery. This review aims to discuss and highlight the recent evidence regarding risk factors, clinical consequences, prevention, and treatment of childhood obesity.

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“…Cross-sectional associations are also seen between parent and child body mass index (BMI), with stronger associations for those children with higher BMIs, suggesting an intergenerational transmission of risk for a high BMI [ 16 , 17 ]. Maternal pre-pregnancy BMI is prospectively associated with offspring BMI in both childhood and adulthood [ 18 ], but it is not clear whether associations are gender-specific, with some studies showing a stronger maternal association [ 17 , 19 ] while others show no differences between mothers and fathers [ 14 , 20 , 21 ]. Most studies of obesity prevalence are in high income countries, and systematic reviews suggest weaker associations in LMICs [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting higher child BMI z-score and obesity incidence in Malaysia: a longitudinal analysis of a dynamic cohort study

Salway,

Armstrong,

Mariapun

et al. 2024

BMC Public Health

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Background To target public health obesity prevention, we need to predict who might become obese i.e. predictors of increasing Body Mass Index (BMI) or obesity incidence. Predictors of incidence may be distinct from more well-studied predictors of prevalence, therefore we explored parent, child and sociodemographic predictors of child/adolescent BMI z-score and obesity incidence over 5 years in Malaysia. Methods The South East Asia Community Observatory in Segamat, Malaysia, provided longitudinal data on children and their parents (n = 1767). Children were aged 6–14 years at baseline (2013-14) and followed up 5 years later. Linear multilevel models estimated associations with child BMI z-score at follow-up, adjusting for baseline BMI z-score and potential confounders. Predictors included parent cardiometabolic health (overweight/obesity, central obesity, hypertension, hyperglycaemia), and socio-demographics (ethnicity, employment, education). Logistic multilevel models explored predictors of obesity incidence. Results Higher baseline BMI z-score predicted higher follow-up BMI z-score both in childhood to late adolescence (0.60; 95% CI: 0.55, 0.65) and early to late adolescence (0.76; 95% CI: 0.70, 0.82). There was inconsistent evidence of association between child BMI z-score at follow-up with parent cardiometabolic risk factors independent of baseline child BMI z-score. For example, maternal obesity, but not overweight, predicted a higher BMI z-score in childhood to early adolescence (overweight: 0.16; 95% CI: -0.03, 0.36, obesity: 0.41; 95% CI: 0.20, 0.61), and paternal overweight, but not obesity, predicted a higher BMI z-score in early to late adolescence (overweight: 0.22; 95% CI: 0.01, 0.43, obesity: 0.16; 95% CI: -0.10, 0.41). Parental obesity consistently predicted five-year obesity incidence in early to late adolescence, but not childhood to early adolescence. An adolescent without obesity at baseline with parents with obesity, had 3–4 times greater odds of developing obesity during follow-up (incidence OR = 3.38 (95% CI: 1.14–9.98, mother) and OR = 4.37 (95% CI 1.34–14.27, father) respectively). Conclusions Having a higher BMI z-score at baseline was a stronger predictor of a higher BMI z-score at follow-up than any parental or sociodemographic factor. Targeting prevention efforts based on parent or sociodemographic factors is unwarranted but early childhood remains a key period for universal obesity prevention.

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Obesity determinants among Malaysian 12-year old school adolescents: findings from the HAT study

Cited by 5 publications

References 35 publications

It’s Cool to be Healthy! The Effect of Perceived Coolness on the Adoption of Fitness Bands and Health Behaviour

It’s Cool to be Healthy! The Effect of Perceived Coolness on the Adoption of Fitness Bands and Health Behaviour

Risk Factors, Clinical Consequences, Prevention, and Treatment of Childhood Obesity

Predicting higher child BMI z-score and obesity incidence in Malaysia: a longitudinal analysis of a dynamic cohort study

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