It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Background
Risk factor surveillance is vital for public health interventions in non-communicable diseases (NCD) control due to a noticeable nutrition transition among the population affecting dietary patterns. The objective was to investigate the dietary risk factors and its associations based on a first-of-its-kind analysis employing both Latent Class Analysis (LCA) and Structural equation modelling (SEM) to explore the hidden heterogeneity and subgroups with shared dietary pattern and to demonstrate the complex interaction of dietary factors with other risk factors in the development of NCDs.
Methods
A cross-sectional survey was used. Secondary analysis of the 2017 Oman NCD Risk Factors Survey data was performed to investigate three major dietary risk factors (fruits and vegetables intake, eating out, and the type of oil used in cooking) of Omanis using LCA and SEM.
Results
Dietary risk factors are prevalent in Omanis with 55.8% reporting intake of less than five fruit and vegetable servings per day, 45.3% ate outside the home 1–3 times per week, and 87.3% used vegetable oil for cooking. LCA showed two distinct classes of Omani population with majority belonging to the class mainly eating out 1–3 times per week, eating less than the recommended servings of fruits and vegetables, vegetable oil users, educated, and married young adults. SEM showed the intricate interplay of dietary factors with 8 direct paths and several indirect paths with NCD indicators.
Conclusions
These findings may have important implications for targeting health promotion strategies among the high-risk group of Omanis identified in this analysis and inform decision makers for the reduction of NCDs.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer