评估尼日利亚北部医生的工作时间喂养方式、健康行为评分和体重指数:一项横断面多中心研究。

Godpower Chinedu Michael, Doris Nenli Ehalaiye, Haliru Ibrahim, Fatima Ahmad Falaki, Abdullahi Kabir Suleiman, Bukar Alhaji Grema, Yahkub Babatunde Mutalub, Abubakar Abiso Mohammed, Emmanuel Ogwuche, Aminu Gango Fikin, Zainab Abdulazeez Umar, Ibrahim Aliyu, Jeremiah Kutak Aboi Madaki
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引用次数: 0

摘要

背景:医务工作者中肥胖和超重现象日益普遍,需要对他们的生活方式进行评估。本研究对医务人员的工作时间进食和生活方式进行了评估,并探讨了这些方式与其体重指数(BMI)之间的关系:调查涉及 2021 年从尼日利亚北部 9 家医院挑选出的 321 名医务工作者。收集的数据包括生物数据、用药史、工作时间喂养特点、生活方式行为、血压、身高和体重测量值。数据使用 Epi info 软件(第 7 版)进行分析:大多数受访者为男性(70.7%)。他们的平均年龄为 38 ± 7.4 岁。在最后一个工作时间,84.1%的受访者吃午餐,46.4%的受访者喝含糖饮料。通常,41.7%的人从医院食堂购买午餐,18.7%的人每周至少光顾一次医院食堂。大多数人表示饮酒(99.7%)、吃水果和蔬菜(54.8%)和吸烟(98.4%)是健康的行为。然而,只有 22.4% 的人积极参加体育锻炼。他们的平均健康行为得分和体重指数分别为 2.8 ± 0.7 和 26.1 ± 4.6 kg/m2。肥胖率和超重率分别为 18.4% 和 37.7%。他们在工作时间的午餐来源、年龄、性别、从业年限、就业时间、婚姻状况、工作类别、收缩压、抗高血压药物和抗糖尿病药物的使用与平均体重指数显著相关。然而,只有服用降压药、已婚、水果/蔬菜摄入量不足和工作时间饮用含糖饮料才能预测肥胖。预测超重/肥胖的因素是从业年限(小于 10 年)和使用降压药物:结论:肥胖和超重率很高。大多数人缺乏运动。工作时间饮用含糖饮料会导致肥胖。需要采取有效的工作场所和社区干预措施,改善从业人员的生活方式,减少肥胖和超重。
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Assessment of workhour feeding practices, healthy behaviour score and body mass index of physicians in Northern Nigeria: a cross-sectional multi-centre study.

Background: The increasing prevalence of obesity and overweight among health workers calls for an appraisal of their lifestyle. This study assessed medical practitioners' workhour feeding and lifestyle practices and explored the relationship between these practices and their body mass index (BMI).

Methods: The survey involved 321 medical practitioners selected from 9 northern Nigeria hospitals in 2021. Data collected included biodata, medication history, workhour feeding characteristics, lifestyle behaviours, blood pressure, height, and weight measurements. Data were analyzed using Epi info software (version 7).

Results: Most respondents were male (70.7%). Their mean age was 38 ± 7.4 years. During their last workhours, 84.1% had lunch, and 46.4% took sugary drinks. Usually, 41.7% source their lunch from the hospital canteen, and 18.7% patronize their canteen at least weekly. Most reported healthy behaviour towards alcohol consumption (99.7%), fruit and vegetable consumption (54.8%) and smoking (98.4%). However, only 22.4% were physically active. Their mean healthy behaviour score and BMI were 2.8 ± 0.7 and 26.1 ± 4.6 kg/m2, respectively. The obesity and overweight rates were 18.4% and 37.7%, respectively. Their source of lunch during workhours, age, sex, years of practice, employment duration, marital status, job category, systolic blood pressure, anti-hypertensive, and antidiabetic medication use were significantly associated with mean BMI. However, only antihypertensive medication use, being married, inadequate fruit/vegetable consumption and workhour sugary drinks consumption predicted obesity. The predictors of overweight/obese were years of practice (< 10 y) and use of antihypertensive medications.

Conclusions: Obesity and overweight rates were high. Most were physically inactive. Workhour sugary drink consumption predicted obesity. Effective workplace and community interventions to improve practitioners' lifestyle behaviour and curtail obesity and overweight are needed.

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