Spatial analysis of the prevalence of obesity and overweight among women in Ghana.
Spatial analysis of the prevalence of obesity and overweight among women in Ghana.
复制标题
DOI：
10.1136/bmjopen-2020-041659
复制
发表时间：
2021-01-17
期刊：
影响因子：
2.9
通讯作者：
Abdul IW
中科院分区：
文献类型：
--
作者：
Asosega KA;Adebanji AO;Abdul IW
由于相关的公共卫生负担和发病率，确定超重的热点有助于有效的公共卫生干预。因此，本研究旨在探讨和确定加纳妇女超重/肥胖流行率的空间差异。该研究还旨在使用空间回归对平均体重指数（BMI）值进行建模，并与标准回归模型进行比较。这是一项使用2014年加纳人口与健康调查（GDHS）数据的横断面研究。这项研究在加纳进行。来自2014年GDHS的4 393名15-49岁非妊娠妇女的数据。全球（莫兰的我）和地方指标的空间依赖性进行了检查，通过映射BMI值在全国各地的集群。一个估计的空间滞后模型被用来解释女性平均身体尺寸的空间差异。加纳育龄妇女中超重/肥胖的总体流行率为35.4%，在受过教育的妇女（p<0.001）、富裕家庭妇女（p<0.001）和居住在城市环境中的妇女（p<0.001）中，这一现象非常普遍。在大阿克拉、中部、西部和阿散蒂地区，观察到超重/肥胖的热点（聚集）显著聚集（Moran's I=0.3145，p<0.01）。基于李克比检验和赤池信息标准和贝叶斯信息标准值，空间滞后模型是最佳拟合。女性的平均年龄和家庭财富是女性平均群集体尺（BMI）增加和空间差异的重要因素。超重/肥胖的患病率很高，在空间上集中在南部，中部和沿海地区。需要采取针对特定地理区域且有效的公共卫生干预措施和战略，以解决与育龄妇女平均体型增加相关的日益严重的发病负担。
Identifying hot spots for the overweight aids in effective public health interventions due to the associated public health burden and morbidities. This study, therefore aimed to explore and determine the spatial disparities in the overweight/obesity prevalence among women in Ghana. The study also aims at modelling the average body mass index (BMI) values using the spatial regression and the performance compared with the standard regression model. This is a cross-sectional study using data from the 2014 Ghana Demographic and Health Survey (GDHS). The study was set in Ghana. Data on 4393 non-pregnant women aged 15–49 years from the 2014 GDHS. Both global (Moran’s I) and the local indicators for spatial dependence were examined through the mapped BMI values across the country by clusters. An estimated spatial lag model was used to explain the spatial differences in the average body sizes of women. The overall prevalence of overweight/obesity among reproductive women in Ghana was 35.4%, and this was highly prevalent among educated women (p<0.001), those from wealthy households (p<0.001) and dwelling in an urban setting (p<0.001). Significant clustering (Moran’s I=0.3145, p<0.01) of overweight/obesity was observed with hot spots (clustering) in Greater Accra, Central, Western and Ashanti regions. The spatial lag model was the best fit based on the Likelihood ratio test and the Akaike information criterion and Bayesian information criterion values. The mean age of women and household wealth were significant factors accounting for the increase in the average cluster body size (BMI) of women and the spatial differences. The prevalence of overweight/obesity was high and spatially clustered in the southern, middle and coastal regions. Geographic specific and effective public health interventions and strategies are needed to address the growing morbidity burden associated with the rise in the average body sizes of reproductive women.
登录
查看更多内容
影响因子：
3.6
作者：
ANSELIN, L
通讯作者：
ANSELIN, L
影响因子：
5.2
作者：
Abubakari, A. R.;Lauder, W.;Bhopal, R. S.
通讯作者：
Bhopal, R. S.
影响因子：
3.6
作者：
ANSELIN, L
通讯作者：
ANSELIN, L
影响因子：
2.9
作者：
Biadgilign S;Mgutshini T;Haile D;Gebremichael B;Moges Y;Tilahun K
通讯作者：
Tilahun K
影响因子：
6.8
作者：
AKAIKE, H
通讯作者：
AKAIKE, H