从各种人口变量的角度研究父母对家庭营养和体育锻炼的态度(elaziğ 示例)

Hakan Doğan, Abdulkadir Soylu
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摘要

童年时期营养不均衡的人就会遇到肥胖问题。肥胖症出现的最重要的环境风险因素是:饮食习惯改变,使用电脑、平板电脑、手机和电视等科技设备的屏幕时间增加,因此采取久坐不动的生活方式,以及体育锻炼减少。此外,儿童学业压力增加、社会经济水平和居住在大城市等因素也是风险因素。根据这些信息,我们的研究旨在探讨父母的家庭营养和体育锻炼态度与高中生饮食行为之间的关系。首先,我们确定了研究对象,然后采用定量研究方法中的一般调查模式。375 名 2022-2023 学年高中生的家长参与了研究。我们对研究中各变量之间的关系进行了统计分析。我们使用 "家庭营养和体育活动筛查量表"(Özdemir,2020 年)来收集数据。我们的申请表由两部分组成。第一部分是人口统计学信息表,其中包含要从参与者那里收集的数据。第二部分是研究中使用的量表。量表包括五个子维度:体育活动、父母行为、不健康饮食习惯、健康食物摄入、久坐行为、限制/奖励子维度。研究中使用了 SPSS 21(社会科学统计软件包)。首先,对参与者群体的描述性统计数据进行了分析。然后,计算内部一致性系数。然后,进行 t 检验和方差分析来分析量表结果的差异。在 "Post-Hoc "标题下,对呈现同质性分布的量表得分进行了 Tukey 检验,并确定了差异化的方向。在研究中,当考察各组的平均值时,发现男性的家庭营养和体育锻炼态度高于女性。年龄、阶层、月收入状况、学校类型、成功状况和父母教育状况等变量没有明显差异。在对早餐习惯的变量数据进行研究时,发现回答 "我在家吃早餐 "的参与者与回答 "我在学校吃早餐 "和 "我不吃早餐 "的参与者存在明显差异。
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EXAMINATION OF PARENTS' FAMILY NUTRITION AND PHYSICAL ACTIVITY ATTITUDES IN TERMS OF VARIOUS DEMOGRAPHIC VARIABLES (ELAZIĞ EXAMPLE)
Individuals who do not have balanced nutrition during childhood encounter the problem of obesity. The most important environmental risk factors in the emergence of obesity are: changing dietary habits, increased screen time spent with technological devices such as computers, tablets, phones, and televisions, adopting a sedentary lifestyle as a result, and a decrease in physical activity. In addition, factors such as increased academic stress on children, socio-economic level, and residing in major cities are also risk factors. In line with this information, the purpose of our research is to examine the relationship between parents' family nutrition and physical activity attitudes and the eating behaviors of high school students. First, the universe was determined in our study, followed by the use of the general survey model from quantitative research methods. Parents of 375 high school students studying in the 2022-2023 academic year participated in the research. The relationships between the variables in our research were analyzed statistically. The "Family Nutrition and Physical Activity Screening Scale" (Özdemir, 2020) was used to collect data. Our application form consists of two sections. The first section contains the demographic information form containing the data to be collected from the participants. The second section contains the scale form to be used in the research. The scale consists of five sub-dimensions: physical activity, parental behaviors, unhealthy eating habits, healthy food intake, and sedentary behaviors, restriction/reward sub-dimensions. SPSS 21 (Statistical Package for Social Sciences) was used in the study. First, the analysis of descriptive statistical data of the participant group was performed. Then, the internal consistency coefficient was calculated. After that, t-tests and ANOVA tests were conducted to analyze the differentiation of scale results. Under the Post-Hoc heading, the Tukey test was performed for scale scores showing homogeneous distribution, and the direction of differentiation was determined. In the research, when the average values of the groups were examined, it was observed that the family nutrition and physical activity attitudes of males were higher than those of females. There was no significant differentiation for variables such as age, class, monthly income status, school type, success status, and parental education status. When the variable data on breakfast habits were examined, it was found that the participants who answered "I have breakfast at home" significantly differed from those who answered "I have breakfast at school" and "I do not have breakfast."
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