Women's knowledge in Madagascar: A health needs assessment study

2012 ◽  
Vol 7 (1) ◽  
pp. 29-41 ◽  
Author(s):  
Evelyn M. Dell ◽  
Susan L. Erikson ◽  
Eddy Andrianirina ◽  
Gabrielle Smith
Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Yao Jie Xie ◽  
Alice Yuen Loke ◽  
Daphne Cheung ◽  
Bernice O.C. Lam Nogueira ◽  
Karry Liu ◽  
...  

Background: There were inconsistent results in the relationship between poor sleep quality and obesity among different population in previous studies. Our study evaluated the association between sleep quality and obesity in a representative adult population of Chinese subjects living in the Macao Special Administrative Region, China. Methods: This cross-sectional study was an analysis of 1426 participants aged 18 to 90 years from a community-based health needs assessment study titled “Healthy Living, Longer Lives”. Recruitment was conducted in seven districts of Macao from 2017 to 2018. Stratified sampling by age and gender strata was adopted. The Chinese version of Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality. Higher score of PSQI indicates worse sleep quality. Height, weight, and other covariates were collected by self-administered questionnaire. Obesity was defined as body mass index (BMI) ≥ 25 kg/m 2 according to the WHO standard. Results: Of all participants, 263 (18.4%) were obese and 285 (20.0%) were overweight. The average BMI and global score of PSQI were 22.9±3.0 kg/m 2 and 4.48±2.58 for men, 22.1±3.3 kg/m 2 and 5.05±2.92 for women, respectively. After adjustment of age, sex, income, marital status, education, smoking, and drinking, a significant negative relationship was found between sleep quality and BMI: higher PSQI global score was associated with higher BMI (β = 0.09, 95% CI: 0.03 - 0.15; P < 0.01). Within the 7 domains of PSQI, higher sleep disturbance score (β = 0.63, 95% CI: 0.34 - 0.93) and daytime dysfunction score (β = 0.41, 95% CI: 0.13 - 0.68) predicted higher BMI (both P < 0.01). The poor sleep status (global PSQI score > 5) was associated with 39.2% greater odds of being obese (95% CI: 1.04-1.87; P < 0.05). Conclusions: In a population of young to older adult Macao residents, we found an inverse linear association between sleep quality and BMI. People with sleep disturbance and daytime dysfunction were more likely to be fat. Poor sleep quality was strongly associated with greater obesity.


2018 ◽  
Vol 27 (2) ◽  
pp. e1606 ◽  
Author(s):  
Christina C. Norman ◽  
Kate McDonald ◽  
Amanda E. Schneider ◽  
Igor Malinovsky ◽  
Emily Goldmann ◽  
...  

2018 ◽  
Vol 28 (suppl_1) ◽  
Author(s):  
R Alwan ◽  
A Beydoun ◽  
D Schumacher ◽  
S Jernigan ◽  
S Okay ◽  
...  

Author(s):  
Elizabeth A. Wood ◽  
Kelly S. Chapman ◽  
Valery M. Beau de Rochars ◽  
Sarah L. Mckune

2015 ◽  
Vol 9 (3) ◽  
Author(s):  
Silvia Bini ◽  
Antonello E. Rigamonti ◽  
Francesco Fiorini ◽  
Pietro A. Bertazzi ◽  
Gian Francesco Fiorini ◽  
...  

We performed a health needs assessment of the vulnerable population cared for by the <em>Banco</em> <em>Farmaceutico</em>, an Italian non-profit charitable organisation that supplies medicines for many centres belonging to different charities. Drug dispensed in the first half of 2014 by a representative sample of these centres were examined. An independently conducted telephone interview on our centres complemented this data. Adult males and migrants constituted the majority of the user population, and the most dispensed drugs were those for the respiratory system. Of all patients, 40% presented with a chronic problem and more than half needed polypharmacy. Users seek help spontaneously in 70% of the cases, with the centres being able to meet 80% of the existing demand. Patients that could not be managed were referred to local hospitals or collaborating doctors and reasons were explored. We believe our study to be a first attempt to characterise a growing population that is also increasingly represented in emergency departments and internal medicine wards. It is also an evaluation of the quality of data collected by charitable institutions, highlighting a significant need for improvement as they could be the only basis to monitor the health needs of this type of population.


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