Who Avoids Going to the Doctor and Why? Audience Segmentation Analysis for Application of Message Development

The author describes the results of segmentation and pattern analyses of postprandial plasma glucose levels (PPG) and carbs/sugar intake amount (carbs), which are associated with his three daily meals. In this paper, there are three consistent ranges of low, medium, and high for PPG values and carbs/sugar amounts that are used for each meal but with different units. One of the final objectives for this analysis is to calculate the most reasonable and effective conversion ratio between measured PPG in mg/dL and carbs/sugar intake amount in grams, by discovering how much PPG amount would be generated from 1 gram of carbs/sugar intake. This investigation utilized the PPG data and carbs/sugar amount collected during a period of 2+ years from 5/5/2018 to 9/6/2020 with a breakdown of 855 days, including 2,565 meals, 33,345 glucose data, and 33,345 carbs/sugar data. By using the segmentation analysis of his 33,345 PPG data and 2,565 carbs/sugar data, the author has conducted a pattern recognition and segmentation analysis from his PPG profiles with its associated carbs/sugar intake of his food and meals in the past 855 days. Since 12/8/2015, he ceased taking any diabetes medications. In other words, his diabetes control is 100% dependent on his lifestyle management program with no chemical intervention from any medications. Subsequently, he has maintained a stringent exercise program after each meal; therefore, the development of his simplified PPG prediction model, excluding the exercise factor, can be expressed solely with carbs/sugar intake amount. Predicted PPG = (baseline glucose) + (conversion ratio * carbs/sugar amount) In his research work, he found the reasonable and effective conversion ratio between PPG and carbs that ranges from 1.8 mg/dL per gram to 2.5 mg/dL per gram. This simple equation could assist many type 2 diabetes (T2D) patients in controlling their diabetes via carbs/sugar intake amount. During this particular time period, his PPG control via a stringent lifestyle management without medication is highly successful. His estimated mathematically derived HbA1C values should be between 5.56% to 6.05%, which is a satisfactory HbA1C level for a 73-year-old male with a 25-year history of severe diabetes. It should be mentioned that he had an average daily glucose of 280 mg/dL and HbA1C of 11% in 2010. This segmented pattern analyses based on his PPG data and carbs/sugar intake amount offer a useful tool for analyzing other types of biomarkers in a deeper investigation with a wider entry point of research.

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Are atheist consumers less ethical? Investigating the role of religiosity and atheism on consumer ethics

Journal of Consumer Marketing ◽

10.1108/jcm-04-2020-3755 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Denni Arli ◽

Tuyet-Mai Nguyen ◽

Phong Tuan Nham

Keyword(s):

Consumer Ethics ◽

Intrinsic Religiosity ◽

Content Type ◽

Ethical Behaviors ◽

Segmentation Analysis ◽

Study Results ◽

Unethical Behaviors ◽

The Usa ◽

Using Data ◽

The Impact

Purpose There is a perception that non-religious consumers are less ethical than religious consumers. Studies found prejudices against atheists around the world and assumed that those who committed unethical behavior were more likely to be atheists. Hence, first, the purpose of this study is to investigate the effect of consumers’ intrinsic religiosity, extrinsic religiosity and atheism on consumers’ ethical beliefs. Second, this study attempts to segment consumers and identify differences between these segments. Design/methodology/approach Using data from 235 study participants in the USA and 531 in Vietnam. Subsequently, a two-step cluster approach was used to identify segments within these samples. Findings The study results show consumers’ intrinsic religiosity negatively influences all consumers’ unethical beliefs. Similarly, atheism also negatively influences all consumers’ unethical beliefs. This study also complements other studies exploring consumer ethics in developing countries. In addition, the segmentation analysis produced unique segments. The results from both samples (USA and Vietnam) indicated that non-religious consumers are less likely to accept various unethical behaviors compared to religious consumers. Religious consumers are not necessarily more ethical and atheism consumers are not necessarily less ethical. In the end, are implications for business ethics, religious and non-religious leaders on how to view the impact of beliefs on consumer ethical behaviors. Originality/value This is one of the first few studies investigating the impact of atheism on consumer ethics. The results of this study further extend the knowledge of study in consumer ethics by comparing consumers’ religiosity and atheism.

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