Relationships between management factors in dairy production systems and mental health of farm managers in Japan
Relationships between management factors in dairy production systems and mental health of farm managers in Japan
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DOI：
10.3168/jds.2021-20666
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发表时间：
2021-12-20
影响因子：
3.5
通讯作者：
Kobayashi, K.
中科院分区：
文献类型：
--
作者：
Kato, H.;Ono, H.;Kobayashi, K.
为了促进可持续的奶牛养殖，必须评估和支持奶牛场工人的心理健康，正如迄今为止相对较少的研究所表明的那样，奶牛场工人的心理健康比其他行业的工人受到的影响更大。此外，有限的调查，在乳品工人的心理健康，最大限度地减少了机会，建议切实可行的方法，改善他们的心理健康。因此，需要进一步的数据采集和分析。在本研究中，我们进行了定量调查的17个管理因素和管理的心理健康问卷81奶牛场管理人员（80名男性，1名女性）在北海道，北方日本。管理因素分为3组：生产投入，生产产出和设施指标;心理健康的基础上流行病学研究中心抑郁量表（CES-D）进行评估。主成分分析法将影响因素分为2类：奶牛生产系统集约度因素（PC 1：牲畜护理成本、校正脂肪和蛋白质的牛奶、放养密度、每单位牲畜单位时间的医疗咨询费、非家庭工资、化肥和农药费用以及农业净收入比率）和基本奶牛管理因素（PC 2：农业净收入比率、精料数量和牛奶质量变量）。奶牛场管理者的抑郁症状与PC 1和挤奶方法无显著相关，但与整合了财务、饲养和牛奶质量3个管理因素的PC 2呈显著负相关。根据本研究的结果，稳定的经济农场管理，充足的饲料供应和牛奶质量的维护所需的努力可能会增加奶牛场管理人员的抑郁水平，并对他们的心理健康产生负面影响。这些发现可能是未来研究农场管理者的心理健康和可持续奶牛场管理和生产之间的关系的基础。
To facilitate sustainable dairy farming, it is essential to assess and support the mental health of dairy farm workers, which is affected more than that of workers in other industries, as indicated by the relatively few studies to date. In addition, the limited investigations on mental health in dairy workers minimize the opportunities to suggest practical approaches of improvement of their mental health. Therefore, further data acquisition and analysis is required. In the present study, we undertook quantitative surveys on 17 management factors and administered a mental health questionnaire to 81 dairy farm managers (80 male, 1 female) in Hokkaido, northern Japan. The management factors were categorized into 3 groups: production input, production output, and facility indicator; mental health was evaluated based on the Center for Epidemiologic Studies Depression Scale (CES-D). Principal component analysis assigned the factors into 2 groups: intensiveness factors of dairy production systems (PC1: livestock care cost, fat-and protein-corrected milk, stocking density, medical consultation fee per unit time per animal unit, non family wages, fertilizer and pesticide expenses, and net agricultural income ratio) and basic dairy management factors (PC2: net agricultural income ratio, quantity of concentrate feed, and milk quality variable). The depression symptoms of dairy farm managers were not significantly associated with PC1 and milking methods; however, they were significantly negatively associated with PC2, which integrated 3 management factors, including factors related to finances, feeding, and milk quality. According to the findings of the present study, the efforts needed for stable economic farm management, adequate feed supply, and milk quality maintenance may increase the depression levels of dairy farm managers and negatively affect their mental health. These findings could be the basis for future studies on the relationship between the mental health of farm managers and sustainable dairy farm management and production.