Disparities in health‐related quality of life among healthy adolescents in a developing country – the impact of gender, ethnicity, socio‐economic status and weight status

Loh, Debbie Ann; Moy, Foong Ming; Zaharan, Nur Lisa; Mohamed, Zahurin

doi:10.1111/cch.12252

Cited by 17 publications

(15 citation statements)

References 63 publications

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“…Our findings are in line with previous studies that investigated the association between HRQoL and anxiety symptoms among adolescents in community samples [32, 33] and in adolescents with anxiety disorders [15, 34, 35]. Also in line with previous studies, we found that female gender, higher age, lower perceived family economic status and reported negative life events were significantly associated with lower HRQoL and elevated levels of anxiety symptoms [24, 26]. Contrary to previous studies, ethnicity was not significantly associated with elevated anxiety symptoms or HRQoL impairment, probably due to of the small number of Non-Western immigrants participating in our sample.…”

Section: Discussionsupporting

confidence: 93%

“…In addition, female gender, ethnic minority and lower socio-economic status are factors reported as predictors of both impaired HRQoL [24, 26–29] and higher anxiety symptoms [30, 31] in adolescents. Nevertheless, only two community - based studies have investigated the associations between anxiety symptoms and HRQoL in adolescents, and both studies were based on small samples (N = 119, and N = 153, respectively).…”

Section: Introductionmentioning

confidence: 99%

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Quality of life in anxious adolescents

Raknes

Pallesen

Himle

et al. 2017

Child Adolesc Psychiatry Ment Health

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PurposeTo examine associations between health-related quality of life (HRQoL) and anxiety symptoms across anxiety domains (obsessions/compulsions, social anxiety, panic disorder, agoraphobia, separation anxiety, physical injury fears, generalised anxiety, and posttraumatic stress) in a general adolescent population. Expanded knowledge about these associations can provide valuable information for improving interventions and prevention strategies for adolescent anxiety.MethodsCross-sectional data about anxiety were collected via a school survey from a community sample of Norwegian adolescents aged 12–17 (N = 1719). Based on scores from the Spence Children’s Anxiety Scale (SCAS), each adolescent was categorized as reporting a low, medium, or high level of anxiety. Each adolescent’s HRQoL was then measured using the Questionnaire for Measuring Health-Related Quality of Life in Children and Adolescents Revised Version (KINDL-R). Hierarchical regression analyses were performed to determine any relationship between anxiety symptoms and HRQoL.ResultsAcross domains of anxiety, anxiety symptoms were inversely associated with overall HRQoL. All HRQoL-dimensions were inversely associated with overall level of anxiety symptoms. In adolescents with medium and high anxiety symptoms, poor HRQoL was documented in all HRQoL dimensions with the exception of the family dimension.ConclusionsThe strong association between elevated levels of anxiety symptoms and poor HRQoL demonstrate the importance of improved mental health interventions and prevention initiatives targeting anxious adolescents.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Quality of life in anxious adolescents

Raknes

Pallesen

Himle

et al. 2017

Child Adolesc Psychiatry Ment Health

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“…Models for the multiple linear regression adjusted for age, gender, ethnicity, energy intake, and mother’s educational level. Mother’s educational level was included in this first model because a few studies have shown it to be an independent risk factor for overweight/obesity [ 44 , 45 , 46 ]. Further adjustments for the same analyses were done for other variables that could confound associations between dairy intake and obesity including soda intake [ 17 ], physical activity [ 15 , 17 ], and milk substitute.…”

Section: Methodsmentioning

confidence: 99%

Associations between Consumption of Dairy Foods and Anthropometric Indicators of Health in Adolescents

et al. 2016

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Childhood obesity is associated with a greater chance of a lifetime of obesity. Evidence suggests dairy at recommended levels could be beneficial in maintaining normal weight and body composition. We assessed whether dairy consumption is associated with anthropometric indicators of health (z-scores for weight-for-age (WAZ); height-for-age (HAZ) and body mass index (BMIZ); waist-to-height ratio (WHtR); fat-free mass (FFM); and fat mass (FM)) in adolescents. In a cross-sectional study, 536 males and females ages 12–18 completed a 151-item semi-quantitative web-based food frequency questionnaire that included 34 dairy-containing foods. Dairy foods were categorized into milk, cheese, sweetened dairy, and total dairy. Anthropometrics were measured during school visits. Total dairy intake was associated with WAZ (β = 0.25 (95% CI: 0.01, 0.49), p = 0.045) and HAZ (β = 0.28 (95% CI: 0.04, 0.52), p = 0.021). In boys, total dairy was associated with WHtR (β = 0.02 (95% CI: 0.00, 0.04), p = 0.039), FFM (β = 4.83 (95% CI: 1.79, 7.87), p = 0.002), and FM (β = 3.89 (95% CI: 0.58, 7.21), p = 0.021), and cheese was associated with FFM (β = 4.22 (95% CI: 0.98, 7.47), p = 0.011). Dairy consumption seems to influence growth in both genders, and body composition and central obesity in boys. Prospective studies are needed to identify how types of dairy relate to growth, body composition, and central obesity of adolescents.

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“…Besides, the finding obtained which showed there was no significant difference (p < 0.05) in HRQoL scores according to ethnicity also in line with the findings obtained via a cross-sectional study involving 652 of multiethnic adolescents (aged 13 years) which showed the slight difference in the HRQoL scores were eISSN: 2550-2166 © 2020 The Authors. Published by Rynnye Lyan Resources not significant (p > 0.05) (Loh et al, 2015). According to Loh et al (2015), Chinese occupied the highest scores (mean: 71.15, CI: 65.28, 77.02), followed by Indians (mean: 69.91,CI: 64.23,75.60) and lastly,Malays (mean: 69.53,CI: 68.12,70.93).…”

Section: Based Onmentioning

confidence: 88%

“…Published by Rynnye Lyan Resources not significant (p > 0.05) (Loh et al, 2015). According to Loh et al (2015), Chinese occupied the highest scores (mean: 71.15, CI: 65.28, 77.02), followed by Indians (mean: 69.91,CI: 64.23,75.60) and lastly,Malays (mean: 69.53,CI: 68.12,70.93). However, the prevalence of HRQoL scores in the present study was not consistent among the ethnic groups most probably due to sociodemographic resources, clinical and environmental factors (Leow et al, 2013).…”

Section: Based Onmentioning

confidence: 88%

Ethnic differences on cardiovascular disease risk and quality of life in Selangor

Lee¹,

Kamaruddin²,

Ali³

et al. 2020

Food Res.

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Malaysia is currently experiencing an epidemiologic and demographic transition. Rapid urbanization and vast changes in lifestyles among the population has led to widespread cardiovascular disease (CVD) outcomes. Also, until now, the most prevalent cardiovascular risk factor has remained unknown among the Malaysian population. This study aimed to identify the most significant cardiovascular risk factor among multiethnic adults in Dengkil, Selangor. A case-control retrospective study comparing past exposure (retrospective) between the case (total cholesterol (TC) ≥ 5.18 mmol/L) and control groups (TC < 5.18 mmol/L) on CVD risk via guided questionnaire comprised of International Physical Activity Questionnaire (IPAQ), Food Frequency Questionnaire (FFQ), Depression, Anxiety and Stress Scales (DASS)-21 and SF-12 was carried out among 180 respondents aged 20 to 56 years in Dengkil, Selangor. In the present study, purposive and consecutive sampling were both applied to recruit respondents and also considering ethnic as a factor; thus, quota sampling was also conducted. The data were analyzed using Mann-Whitney, Kruskal-Wallis, Chi-Square, Independent Samples t-test and multiple logistic regression tests. The findings indicated there were no significant differences (p > 0.05) regarding all the risk factors between the case and control groups except for personal medical history (p < 0.05). Chinese possessed the highest number of significant risk and protective factors. Lastly, the quality of life of Malay controls was higher than that of cases in terms of Physical Component Summary (PCS). Generally, all the risk factors were independent in terms of total cholesterol status, except for personal medical history. The significance of risk factors and protective factors varies according to ethnicity.

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Disparities in health‐related quality of life among healthy adolescents in a developing country – the impact of gender, ethnicity, socio‐economic status and weight status

Cited by 17 publications

References 63 publications

Quality of life in anxious adolescents

Quality of life in anxious adolescents

Associations between Consumption of Dairy Foods and Anthropometric Indicators of Health in Adolescents

Ethnic differences on cardiovascular disease risk and quality of life in Selangor

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