Multidisciplinary approach to obesity: Aerobic or resistance physical exercise?

Said, Mohamed Ahmed; Abdelmoneem, Mohamed; Almaqhawi, Abdullah; Kotob, Ahmad Abdel Hamid; alibrahim, mohammed; Bougmiza, Iheb

doi:10.1016/j.jesf.2018.11.001

Cited by 25 publications

(20 citation statements)

References 31 publications

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“…In addition, the possibility of ordering food at home (often fast food) avoids the user having to spend time cooking, so you can dedicate it to be connected to the network. This increases the probability of different eating disorders such as loss of control eating, dieting, and binge-eating disorder [22,23]. And the frequent use of social networks and the possibility of following famous people (influencers, models, actors, and actresses, among others), affects the self-perception of the person [24].…”

Section: Introductionmentioning

confidence: 99%

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Problematic Internet Use as a Predictor of Eating Disorders in Students: A Systematic Review and Meta-Analysis Study

et al. 2019

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Problematic Internet use (PIU) has begun to be linked to the development of certain eating disorders. This uncontrolled use of the Internet is mainly found in the student population. The purposes of this paper were to determine PIU-related eating disorders in students from a systematic review of the literature and to analyze the incidence of PIU in eating disorders through a meta-analysis of the literature. We used two electronic databases (Web of Science and Scopus) from inception to June 2019. The systematic literature review was based on fixed inclusion and exclusion criteria. A total of 12 studies were identified (systematic review) and 10 studies for meta-analysis, which included 16,520 students. Different eating disorders were associated with PIU: anorexia nervosa, bulimia nervosa, binge-eating disorder, food preoccupation, loss of control eating, and dieting. Furthermore, meta-analysis confirmed that PIU is a predictor of eating disorders in students. The groups of students with PIU presented a higher rate in the presence of eating disorders, these differences being significant. Finally, this study showed empirical evidence on the link between PIU and eating disorders. The need for prevention in childhood and adolescence is highlighted.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Problematic Internet Use as a Predictor of Eating Disorders in Students: A Systematic Review and Meta-Analysis Study

et al. 2019

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“…Although some of the important variables such as age, nationality, and level of education were not statistically associated with nonadherence, our findings should not be generalized to all hypertension populations. This disassociation can be attributed to multiracial background, multiethnicity, and the different lifestyle of the Al-Hasa population [29]. It could be also attributed to differences in prescribing behavior among practitioners.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Nonadherence to Antihypertensive Medications among Adults Attending Primary Healthcare Clinics in Al-Hasa Region: A Cross-Sectional Study

Alkhamis¹,

Alsalman²,

Khamis³

et al. 2019

DSAHMJ

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To assess the prevalence of nonadherence to antihypertensive medications among adults attending Primary Healthcare Clinics (PHCs) in Al-Hasa Region. This cross-sectional study included participants from a variety of clinics in the region and each of them had been interviewed to complete the questionnaire. The participants were selected by random sampling from eight different PHCs. Data were collected by a structured questionnaire that was adopted from two different scales to determine the association between adherence and socioeconomic and health status characteristics. We included 372 participants with a mean (±standard deviation) age of 53 ± 12.4 years and most of them were male (62%, n = 231). The overall mean adherence based on our adapted scale was 5.3 ± 2.3. Among participants taking more than six medications, the percentage of nonadherent participants was significantly higher than the percentage of adherent participants (85% vs. 15%, p = 0.016). Participants with single comorbidity were more likely to be adherent than patients with multiple comorbidities (odds ratio = 1.52, p = 0.049). In conclusion, we found a high prevalence of nonadherence to antihypertensive medications in the Al-Hasa community and the main association factor was found to be the presence of comorbidity. Such high rate sends alarming messages for the need of potential interventions to improve adherence outcome.

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“…In terms of changes in MSA levels, older adults were at higher risk of maintaining MSA inactivity, while adults with higher BMI levels were at greater risk of decreasing MSA from pre-to post-Covid-19. Therefore, both older adults and those with higher BMI should be among priority groups targeted with MSA interventions, particularly as MSA can bring important clinical benefits to these two groups [30][31][32][33] . Other priority groups for MSA training are those with lower household income and lower educational attainment.…”

Section: Factors Associated With Changes and Maintenance Of Mvpa And Msa Post-covid-19mentioning

confidence: 99%

Correlates of and changes in aerobic physical activity and strength training before and after the onset of COVID-19 pandemic in the UK. Findings from the HEBECO study.

Herbeć

Schneider

Fisher

et al. 2021

Preprint

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Objectives: Understanding changes in moderate to vigorous aerobic physical activity (MVPA) and strength training (MSA) from before to after (pre-/post-) the onset of the Covid-19 pandemic in the UK (first lockdown) and their correlates can inform interventions. Methods: Cross-sectional analysis of retrospective and concurrent data on MVPA/MSA pre- and post-Covid-19 (until 14th June 2020) among 2,657 UK adults. The associations between socio-demographic and health characteristics, MVPA/MSA pre-Covid-19, living and exercise conditions and meeting WHO recommended levels for MVPA/MSA/both (vs meeting neither), and changes in MVPA/MSA from pre- to post-Covid-19 following stratification for pre-Covid-19 MVPA/MSA levels were evaluated. Results: A third of adults maintained (30.4%), decreased (36.2%) or increased (33.4%) their MVPA levels post-Covid-19. For MSA, the percentages were 61.6%, 18.2%, and 20.2%, respectively. MVPA increased or decreased by an average of 150min/week, and MSA by 2 days/week. Meeting both MSA+MVPA recommendations during lockdown (vs. meeting neither) was positively associated with meeting MVPA+MSA pre-lockdown (aOR=16.11,95%CI=11.24-23.07), and post-16-years of age education (aOR=1.57,1.14-2.17), and negatively associated with being obese (aOR=0.49,0.33-0.73), older age (65+ vs ≤34; aOR=.53,.32-.87), and annual household income <50.000GBP (vs ≥50.000GBP; aOR=0.65,0.46-0.91). The odds for decreasing MVPA were significantly lower for white ethnicity, post-16-years of age education, access to garden/balcony, and higher for those who were in total isolation. The odds for decreasing MSA were significantly higher for those who were overweight or obese. Conclusion: Aerobic and strength training were differently impacted during the first UK lockdown, with poorer outcomes associated with older age, lower education, and higher body mass index.

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Multidisciplinary approach to obesity: Aerobic or resistance physical exercise?

Cited by 25 publications

References 31 publications

Problematic Internet Use as a Predictor of Eating Disorders in Students: A Systematic Review and Meta-Analysis Study

Problematic Internet Use as a Predictor of Eating Disorders in Students: A Systematic Review and Meta-Analysis Study

Prevalence of Nonadherence to Antihypertensive Medications among Adults Attending Primary Healthcare Clinics in Al-Hasa Region: A Cross-Sectional Study

Correlates of and changes in aerobic physical activity and strength training before and after the onset of COVID-19 pandemic in the UK. Findings from the HEBECO study.

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