Belete Aychew Kassa, Asefa Yeshiwas Jemberu, Taye Birhan Ambachew
Department of Sport Science, Faculty of Natural and Computational Science, Woldia University, Woldia, Ethiopia.
Department of Statistics, Faculty of Natural and Computational Science, Woldia University, Woldia, Ethiopia.
Front Nutr. 2025 Jun 13;12:1502680. doi: 10.3389/fnut.2025.1502680. eCollection 2025.
Bad eating habits and an insufficient amount of body activity can contribute to obesity and overweight. This study looked at the prevalence, related risk factors, awareness of predisposing factors and also the avoidance and management of overweight and obesity in North Wollo, Northeast Ethiopia.
From January 2022 to January 2023, A cross-sectional community survey was carried out with 1084 respondents aged 18 and above in North Wollo, Northeast Ethiopia. A multi-stage sampling technique was employed to recruit participants for the quantitative study, while a convenience sampling technique was employed for the qualitative study. A structured questionnaire that had been pre-tested was utilized to gather quantitative data, while qualitative data was collected using an interview. Body mass index was used to determine overweight and obesity. We employed ordinal logistic regression to examine the relationship between predictors and dependent variables. A -value of 0.05 was statistically significant at 95% confidence.
Overweight/obesity affected 21.3% of the population. Some risk factors were known to the majority of participants, such as excessive saturated fat consumption (52.4%) and a lack of regular physical activity (82.9%). However, a large proportion of respondents were not aware about family history (84.0%), age (57.9%), low intake of vegetables (63.0%), low intake of fruit (77.0%), low socioeconomic status (72.0%), smoking (82.5%), medication (58.0%), stress (82.9%), and lack of sufficient sleep (57.9%) were risk factors for overweight and obesity. The mass of respondents was aware of several methods for preventing overweight and obesity, such as limiting saturated fat consumption (52.4%) and engaging in regular physical activity (82.9%). However, a large percentage of respondents were unaware about getting enough sleep (57.9%), reducing stress (82.9%), managing medications (58.0%), quitting smoking (82.5%), having a good socioeconomic status (72.0%), high intake of fruit (77.0%), and high intake of vegetables (63.0%) could help prevent overweight and obesity. The majority of responders were aware that regular exercise helps with treatment strategies for fatness. However, the vast majority of responders were unaware that well-informed nutrition, weight loss medicine, and weight loss surgery were therapeutic options for overweight and obesity. High levels of stress ( = 0.000), female gender ( = 0.000), increasing age (0.000), physical inactivity ( = 0.000), low intake of fruit and vegetables ( = 0.000 and = 0.012), smoking ( = 0.000), excessive use of saturated fat (0.043), and alcohol consumption ( = 0.000) all significantly increased the risk of over fatness.
According to the findings of this study, one-fifth of adults are overweight or obese. The majority of participants were unaware of typical risk factors for overweight/obesity, as well as prevention and treatment approaches for unhealthy habits and lack of physical activity.
不良饮食习惯和身体活动量不足会导致肥胖和超重。本研究调查了埃塞俄比亚东北部北沃洛地区超重和肥胖的患病率、相关风险因素、对诱发因素的认知情况,以及超重和肥胖的预防与管理措施。
2022年1月至2023年1月,在埃塞俄比亚东北部北沃洛地区对1084名18岁及以上的受访者进行了横断面社区调查。定量研究采用多阶段抽样技术招募参与者,定性研究采用便利抽样技术。使用经过预测试的结构化问卷收集定量数据,通过访谈收集定性数据。采用体重指数来确定超重和肥胖情况。我们使用有序逻辑回归来检验预测因素与因变量之间的关系。在95%置信度下,P值为0.05具有统计学意义。
超重/肥胖影响了21.3%的人口。大多数参与者知晓一些风险因素,如饱和脂肪摄入过量(52.4%)和缺乏定期体育活动(82.9%)。然而,很大一部分受访者不知道家族病史(84.0%)、年龄(57.9%)、蔬菜摄入量低(63.0%)、水果摄入量低(77.0%)、社会经济地位低(72.0%)、吸烟(82.5%)、药物(58.0%)、压力(82.9%)以及睡眠不足(57.9%)是超重和肥胖的风险因素。大多数受访者知晓一些预防超重和肥胖的方法,如限制饱和脂肪摄入(52.4%)和进行定期体育活动(82.9%)。然而,很大比例的受访者不知道充足睡眠(57.9%)、减轻压力(82.9%)、管理药物(58.0%)、戒烟(82.5%)、拥有良好的社会经济地位(72.0%)、多吃水果(77.0%)和多吃蔬菜(63.0%)有助于预防超重和肥胖。大多数受访者知道定期锻炼有助于肥胖的治疗策略。然而,绝大多数受访者不知道合理营养、减肥药和减肥手术是超重和肥胖的治疗选择。高压力水平(P = 0.000)、女性(P = 0.000)、年龄增长(P = 0.000)、缺乏体育活动(P = 0.000)、水果和蔬菜摄入量低(P = 0.000和P = 0.012)、吸烟(P = 0.000)、饱和脂肪摄入过多(P = 0.043)和饮酒(P = 0.000)均显著增加了肥胖风险。
根据本研究结果,五分之一的成年人超重或肥胖。大多数参与者不知道超重/肥胖的典型风险因素,以及针对不良习惯和缺乏体育活动的预防和治疗方法。