Cross-sectional study showed psychosocial variables, gender and family involvement played an important role in an adolescent weight management programme

2016 ◽  
Vol 106 (1) ◽  
pp. 105-111
Author(s):  
Ana Prioste ◽  
Helena Fonseca ◽  
Pedro Sousa ◽  
Pedro Gaspar ◽  
Maria do Céu Machado
2015 ◽  
Vol 19 (2) ◽  
pp. 275-286 ◽  
Author(s):  
Talisha J Holley ◽  
Clare E Collins ◽  
Philip J Morgan ◽  
Robin Callister ◽  
Melinda J Hutchesson

AbstractObjectiveTo examine young Australian women’s weight expectations, motivations for weight change and perceived factors influencing weight management, and to determine if these factors differ by age, BMI, marital status, education or income.DesignCross-sectional study. An online survey captured respondents’ weight, height, ideal weight, main reasons for wanting to change their weight and challenges to managing their weight.SettingOnline survey in Australia.SubjectsSix hundred and twenty women aged 18–30 years currently living in Australia who completed the survey between 31 July and 30 September 2012.ResultsApproximately half of participants (53·1 %) were a healthy weight, 25·2 % overweight and 19·0 % obese. Women unhappy at their current weight (78·1 %) reported a median ideal weight −12·3 % less than their current weight. The key motivators for weight change were to improve health (24·4 %, ranked 1), feel better in oneself (22·3 %) and improve self-confidence (21·5 %). Lack of motivation, time constraints because of job commitments and cost were the most commonly reported factors influencing weight management. Age, BMI, marital status, education and income were found to influence weight expectations, motivations for weight change and/or factors perceived to influence weight management.ConclusionsThe findings suggest potential implications for weight management interventions and public health messaging targeting young women, to improve long-term health outcomes. Strategies that promote the health benefits of physical activity and healthy eating, feeling better about oneself and improved self-confidence, and address the main factors influencing weight management including lack of motivation, time constraints and cost, may be used to engage this target group.


Midwifery ◽  
2017 ◽  
Vol 49 ◽  
pp. 124-133 ◽  
Author(s):  
Lisa Vincze ◽  
Megan E. Rollo ◽  
Melinda J. Hutchesson ◽  
Tracy L. Burrows ◽  
Lesley MacDonald-Wicks ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
William K. B. A. Owiredu ◽  
Peter Ntim Ofori ◽  
Cornelius Archer Turpin ◽  
Christian Obirikorang ◽  
Emmanuel Acheampong ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049496
Author(s):  
Kadari Cisse ◽  
Sékou Samadoulougou ◽  
Mady Ouedraogo ◽  
Seni Kouanda ◽  
Fati Kirakoya-Samadoulougou

ObjectiveThe objective of this study is to determine the prevalence of abdominal obesity, its predictors and its association with cardiovascular risk among adults in Burkina Faso.DesignWe performed a secondary analysis of data from a national cross-sectional study, using WHO STEPwise approach.SettingThe study was conducted in Burkina Faso, in all the 13 regions of the country.ParticipantsOur study involved 4308 adults of both sexes, aged between 25 and 64 years.Primary and secondary outcomesOur primary outcome was abdominal obesity, which was defined using a cut-off point of waist circumference (WC) of ≥94 cm for men and ≥80 cm for women. The secondary outcome was very high WC (≥102 cm for men and ≥88 cm for women) (for whom weight management is required).ResultsThe mean age of participants was 38.5±11.1 years. The age-standardised prevalence of abdominal obesity was 22.5% (95% CI 21.3% to 23.7%). This prevalence was 35.9% (95% CI 33.9% to 37.9%) among women and 5.2% (95% CI 4.3% to 6.2%) among men. In urban areas, the age-standardised prevalence of abdominal obesity was 42.8% (95% CI 39.9% to 45.7%) and 17.0% (95% CI 15.7% to 18.2%) in rural areas. The age-standardised prevalence of very high WC was 10.2% (95% CI 9.3% to 11.1%). The main predictors of abdominal obesity were being female, increased age, married status, high level of education and living in urban areas. Abdominal obesity was also significantly associated with high blood pressure (adjusted prevalence ratio (aPR): 1.30; 95% CI 1.14 to 1.47) and hypercholesterolaemia (aPR: 1.52; 95% CI 1.18 to 1.94). According to the combination matrix between body mass index and WC, 14.6% of the adult population in Burkina Faso had an increased cardiometabolic risk.ConclusionOur study showed a high prevalence of abdominal obesity and a high proportion of adults who require weight management strategies to prevent cardiometabolic complications. Strategies to reduce the burden of abdominal obesity and very high WC should be considered by Burkina Faso’s policy-makers.


BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e018286 ◽  
Author(s):  
David N Blane ◽  
Philip McLoone ◽  
David Morrison ◽  
Sara Macdonald ◽  
Catherine A O’Donnell

ObjectiveTo determine the association between patient and referring practice characteristics and attendance and completion at a specialist health service weight management service (WMS).DesignCross-sectional study.SettingRegional specialist WMS located in the West of Scotland.Participants9677 adults with obesity referred between 2012 and 2014; 3250 attending service and 2252 completing.Primary and secondary outcome measuresPrimary outcome measure was attendance at the WMS; secondary outcome was completion, defined as attending four or more sessions.AnalysisMultilevel binary logistic regression models constructed to determine the association between patient and practice characteristics and attendance and completion.ResultsApproximately one-third of the 9677 obese adults referred attended at least one session (n=3250, 33.6%); only 2252 (23%) completed by attending four or more sessions. Practice referrals ranged from 1 to 257. Patient-level characteristics were strongest predictors of attendance; odds of attendance increased with age (OR 4.14, 95% CI 3.27 to 5.26 for adults aged 65+ compared with those aged 18–24), body mass index (BMI) category (OR 1.83, 95% CI 1.56 to 2.15 for BMI 45+ compared with BMI 30–35) and increasing affluence (OR 1.96, 95% CI 1.17 to 3.28). Practice-level characteristics most strongly associated with attendance were being a non-training practice, having a larger list size and not being located in the most deprived areas.ConclusionsThere was wide variation in referral rates across general practice, suggesting that there is still much to do to improve engagement with weight management by primary care practitioners. The high attrition rate from referral to attendance and from attendance to completion suggests ongoing barriers for patients, particularly those from the most socioeconomically deprived areas. Patient and practice-level characteristics can help us understand the observed variation in attendance at specialist WMS following general practitioner (GP) referral and the underlying explanations for these differences merit further investigation.


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