Morbidity and associated factors in rural and urban populations of South Lebanon: a cross‐sectional community‐based study of self‐reported health in 2000

Sabbah, Ibtissam; Vuitton, Dominique-Angèle; Droubi, Nabil; Sabbah, Sanaa; Mercier, Mariette

doi:10.1111/j.1365-3156.2007.01886.x

Cited by 19 publications

(26 citation statements)

References 18 publications

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“…It was also observed for Lebanese SF-36 social scores (Sabbah et al, 2003). A minor difference between urban and rural areas is also observed for the different scales scores of the SF-36 in Lebanon (Sabbah et al, 2003), and for the morbidity (Sabbah et al, 2007). These findings confirm the demographic and epidemiological transition phenomenon occurred in Lebanon (Sabbah et al, 2003).…”

Section: Cancer Childsupporting

confidence: 75%

“…This was also observed for Lebanese people aged 14 year and more using the SF-36 Health survey (Sabbah et al, 2003), which could be due to factors such as stress, morbidity of the parents (Duhamel, 2007), war status, lack of health coverage (Sabbah et al, 2007), lack of public green spaces (Costa, Vescina, & Barcellos Pinheiro, 2010), and comorbidities (Sabbah et al, 2003;Varni et al, 2003;Upton et al, 2005). Additionally, the physical functioning of children is low.…”

Section: Cancer Childmentioning

confidence: 98%

“…The sampling in the general population was random and at several levels: county, city (in urban areas) or village (in rural areas), quarter, household and individual (Sabbah et al, 2003;Sabbah et al, 2007). In the absence of reliable census data in the various communities, the random sampling of households was done according to the "itinerary method" (Rumeau-Rouquette et al, 1993).…”

Section: Participantsmentioning

confidence: 99%

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Measurement Properties of the Arabic Lebanon Version of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales for Young Child (5 - 7 years), and Child Aged 8 - 12 Years: Quality of Life of in Urban and Rural Children in Lebanon

Sabbah¹,

Sabbah²,

Sabbah³

et al. 2012

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Background:Health-related quality of life (HRQOL) is recognized as an important health outcome measurement for pediatric patients. HRQOL in children is needed to gain a better understanding of the impact of public policies, interventions, therapies, and the prediction of health and social care need. In view of the lack of reliable HRQOL instruments for children in Arabic, the present study aims to translate the PedsQL TM 4.0 self-report and proxy-report for young child (aged 5 -7 years), and child (aged 8 -12 years), evaluate psychometric properties of the Arabic Lebanon version; and to evaluate HRQOL of children in rural and urban areas in Lebanon. Methods: PedsQL TM 4.0 was translated and adapted into Arabic using the standard approach provided by Varni J. W. The Arabic version was administered to a representative sample of 368 children aged 5 -12 years and their parents. The psychometric properties were then evaluated. Results: The rate of missing data for self-report and proxy-report was very low (0.51% and 0.46% of items). All child self-report, and parent proxy-report subscales exceeded the minimum reliability standard of 0.70 for alpha coefficient, except emotional subscale of young child self-report and proxy-report, and, the social subscale of child self-report (alphas ranging from 0.60 to 0.66). Factor analysis yielded patterns of factor correlation comparable to the original version. The emotional functioning of children is low, where most children feel afraid, sad, and angry. Children resident in rural areas had higher social scores than those in urban areas. The HRQOL of girls is higher than boys; Children undergoing treatment for cancer rated their HRQOL as poorer in all dimensions. Conclusions: The results support the validity of the PedsQL TM 4.0 self-report and proxy-report Arabic version. Habitat has a minor influence on HRQOL of children. Further psychometric evaluation in a larger sample of children, in other departments of Lebanon is recommended to provide firmer conclusions.

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Section: Cancer Childsupporting

confidence: 75%

Section: Cancer Childmentioning

confidence: 98%

Section: Participantsmentioning

confidence: 99%

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Measurement Properties of the Arabic Lebanon Version of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales for Young Child (5 - 7 years), and Child Aged 8 - 12 Years: Quality of Life of in Urban and Rural Children in Lebanon

Sabbah¹,

Sabbah²,

Sabbah³

et al. 2012

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“…This result is similar to that observed for the obesity, most morbidities [25], and f r different dimensions of o Notes & abbreviations: a n = 57: three (5.0%) patients were excluded from anthropometric analysis because lack of anthropometric measure (2 men, 1 woman). SD = Standard deviation; 50th percentile = median; Min = Minimum; Max = Maximum; n = Number of patients; Ci = Conicity index; WHR = Waist and hip ratio; BMI = Body mass idex; CCI = Charlson comorbidity index; URR = Urea reduction ratio.…”

Section: Predictors Of Comorbiditiessupporting

confidence: 74%

Central Obesity and Comorbidity Risk in Hemodialysis Patients: A Cross Sectional Study in Lebanon

Sabbah¹,

Sabbah²,

Sabbah³

et al. 2012

OJNeph

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Introduction: Abdominal deposition of fat has been described as the type of obesity that offers the greatest risk for the health of individuals, and is associated with increased mortality, and morbidity. Conicity index (Ci), Body mass index (BMI), and waist hip ratio (WHR) are used to predict the risk of obesity related diseases. However, it has not been examined whether these indicators can predict the comorbidities in hemodialysis subjects in Lebanon. Objective: to determine the effect of central obesity on comorbidities in hemodialysis patients in Lebanon. Material and Method: This is a cross-sectional study of obesity in 60 hemodialysis subjects in Lebanon. A linear regression analysis was used to determine the relationship between BMI, Ci, WHR, and comorbidities measured by Charlson (CCI) and Davies comorbidities indexes. Results: Ci values were significantly associated with age, and CCI; the abdominal fat deposition evaluated by the conicity index and WHR were a predictor of the comorbidities according to CCI ( = 2.96; p = 0.01), and Davies comorbidity index ( = 1.19; p = 0.05) scores. BMI was a weak predictor of comorbidity. Conclusion: Abdominal obesity by using simple anthropometric measurements, e.g., Ci and WHR values can similarly predict the presence of comorbidities in hemodialysis patients. Maintaining appropriate Ci and WHR values might be important to improve outcome in hemodialysis patients.

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“…Studies reported higher obesity rates in urban than rural region [37][38][39][40][41][42]. Yadav & Krishnan [42] observed highest obesity prevalence among Indian urban residents of 5.5 % in men and 12.6 % in women.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

Regional trends in obesity and overweight among Austrian adults between 1973 and 2007

Großschädl

Stronegger

2012

Wien Klin Wochenschr

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This paper examines regional changes in the prevalence of overweight (BMI ≥ 25 kg/m²) and obesity (BMI ≥ 30 kg/m²) among Austrian adults (aged ≥ 20 years) during a 35-year period, taking into account the social inequality with regard to obesity. Self-reported data from five cross-sectional nationally representative surveys (n = 178,818) conducted between 1973 and 2007 were analysed. The prevalence of overweight was higher in men than women (2007: 46.3 vs. 31.2 %;p < 0.001) and similar in all Austrian regions. There was a clear east-west gradient for obesity among both sexes, with the highest rates in Eastern Austria (in 2007, women: 18.1 %, men: 16.1 %;p < 0.001) and the lowest in Western Austria (in 2007, women: 12.6 %, men: 11.7 %;p < 0.001). Logistic regression analyses have shown a general decrease of overweight per year among women (OR = 0.991, 95 % CI 0.990-0.993) and men (OR = 0.999, 95 % CI 0.998-1.000), while the obesity prevalence has risen during the study period in every region (women: OR = 1.003, 95 % CI 1.001-1.005; men: OR = 1.011, 95 % CI 1.009-1.013), with the highest increase among women in Central Austria and men in Western Austria. Social inequalities for obesity showed a tendency to increase in the Western and Eastern region. Our results showed a significant regional difference for obesity prevalence during the entire study period. Obesity is a frequent health problem among Austrian adults residing in the Eastern region.

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Morbidity and associated factors in rural and urban populations of South Lebanon: a cross‐sectional community‐based study of self‐reported health in 2000

Cited by 19 publications

References 18 publications

Measurement Properties of the Arabic Lebanon Version of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales for Young Child (5 - 7 years), and Child Aged 8 - 12 Years: Quality of Life of in Urban and Rural Children in Lebanon

Measurement Properties of the Arabic Lebanon Version of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales for Young Child (5 - 7 years), and Child Aged 8 - 12 Years: Quality of Life of in Urban and Rural Children in Lebanon

Central Obesity and Comorbidity Risk in Hemodialysis Patients: A Cross Sectional Study in Lebanon

Regional trends in obesity and overweight among Austrian adults between 1973 and 2007

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