High-Risk Health and Credit Behavior Among 18- to 25-Year-Old College Students

Adams, Troy B.; Moore, Monique

doi:10.3200/jach.56.2.101-108

Cited by 77 publications

(58 citation statements)

References 2 publications

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“…Young Korean women havea more westernized body shape than young Korean Chinese women. BMI and WHR or waist circumference can be used as indexes for overall obesity and central abdominal obesity to predict high risk behavior [6,23]. The average WHR of both groups was similar to that reported by Choung and Park [24]; however, it was lower than that reported in the 2001 Korea National Health and Nutrition Examination Survey [17].…”

Section: Discussionsupporting

confidence: 78%

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Health Habit, Perceived Health Status and Physical Health Status of Young Korean and Korean-Chinese Women: A Comparative Study

Lee

2015

J Korean Acad Community Health Nurs

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Purpose: The purpose of this study was to compare health habit, physical health status, and perceived health status between young Korean and Korean-Chinese women. Methods: This study was conducted as a cross-sectional comparative survey. For this study, 114 Korean women were recruited in Seoul, South Korea and 64 Korean-Chinese women in Jilin Province, China through convenience sampling. Results: A positive correlation was found between health habit and perceived health status. Perceived health status, WHR, body density, flexibility, and muscle endurance were significantly lower in Korean women than in Korean-Chinese ones. Knee flexion and ankle dorsal flexion was significantly higher in Korean women than in Korean-Chinese ones. Conclusion:Further investigation is required to compare the two different groups that share the same ethnicity and similar culture but were born into different countries. A study such as this may provide answers regarding the influence of migrated transition on health.

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Section: Discussionsupporting

confidence: 78%

“…In addition, women in their early adult age tend to consider themselves healthy and thus are likely to neglect their health [5]. During young adulthood, a healthy lifestyle can make a different health status in the future [6]. Therefore, more attention needs to be paid to the health of these young women.…”

Section: Introductionmentioning

confidence: 99%

Health Habit, Perceived Health Status and Physical Health Status of Young Korean and Korean-Chinese Women: A Comparative Study

Lee

2015

J Korean Acad Community Health Nurs

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“…They were also more likely to use drugs (Adams & Moore, 2007;Nelson, et al, 2008;Roberts, et al, 2000;Stuhldreher, et al, 2007), though Adams and Moore (2007) found those in debt were less likely to have used cannabis. It is important to note the differences in how debt groups were defined, for example (Norvilitis, Szablicki, & Wilson, 2003) looked at debt-to-income ratio, whilst Roberts, et al (1999) compared those who had considered dropping out for financial reasons, Adams and…”

Section: Studies With Studentsmentioning

confidence: 99%

“…The details are summarised in appendix A. Many of the studies in the US consisted of secondary analyses of existing data sets from large national surveys, and hence had large sample sizes, for example Adams and Moore (2007) had more than forty thousand participants. However these larger studies tended to rely on author constructed questions on health.…”

Section: Studies With Studentsmentioning

confidence: 99%

The relationship between personal unsecured debt and mental and physical health: A systematic review and meta-analysis

Richardson

Elliott

Roberts

2013

Clinical Psychology Review

339

278

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This paper systematically reviews the relationship between personal unsecured debt and health. Psychinfo, Embase and Medline were searched and 52 papers were accepted. A hand and citedby search produced an additional 13 references leading to 65 papers in total. Panel surveys, nationally representative epidemiological surveys and psychological autopsy studies have examined the relationship, as have studies on specific populations such as university students, debt management clients and older adults. Most studies examined relationships with mental health and depression in particular. Studies of physical health have also shown a relationship with self-rated health and outcomes such as obesity. There is also a strong relationship with suicide completion, and relationships with drug and alcohol abuse. The majority of studies found that more severe debt is related to worse health; however causality is hard to establish. A meta-analysis of pooled odds ratios showed a significant relationship between debt and mental disorder (OR=3.24), depression (OR=2.77), suicide completion (OR=7.9), suicide completion or attempt (OR=5.76), problem drinking (OR=2.68), drug dependence (OR=8.57), neurotic disorder (OR=3.21) and psychotic disorders (OR=4.03). There was no significant relationship with smoking (OR=1.35, p>.05). Future longitudinal research is needed to determine causality and establish potential mechanisms and mediators of the relationship.Dr Bellack, Please find attached a response to the reviewer's comments and an amended manuscript. We hope that these changes address the concerns raised, and the paper can now be accepted for -This relationship is especially strong for mental health in particular depression.-There are also relationships with substance use and suicide.-Research suffers from inconsistent use of standardised measures.-A lack of longitudinal studies makes it difficult to demonstrate causality. *Highlights (for review)We would like to thank the reviewer for their detailed comments. In relation to these we have made the following changes, which have all been marked in the main manuscript via track changes:-We have now clarified in the title, abstract, introduction, discussion and highlights that this examines personal unsecured debt specifically.-In the Method, Search Procedure we have changed "Classes" into "Classed" -In Appendix B (Characteristics of Panel Surveys) we have added "years" to 4-6. The formatting of the tables meant that some words were cut off: this has now been corrected for all the tables.-Page 17, fifth line of first paragraph, "self-related" has been changed to "self-rated." -Page 19, second paragraph, a new paragraph has been started after the line beginning "The advantage." -Page 20, first line of second paragraph, "somewhat unclear" has been changed to "unclear".-Page 21, second paragraph, the first line has been amended to specify about "personal, unsecured debt".-Page 5: more detail has been added to justify why studies on secured loans and mortgage debt were excluded.-Resul...

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“…Dellutri et al [19] studied the rising trend of senior citizen credit card debt, and pointed out that increased health care costs, gambling, lower interest rates on investment, the loss of jobs before planned retirement, and low retirement income are the main causes by a thorough statistics. Adams and Moore [20] analyzed the risky behavior of college students, for they are of more convenience for researchers to acquire card usage sample data on; while some of the related research has focused on the usage trend of specific behavior, such as for the misuse of a credit card, by simply investigating statistics data. Manning [21] and Ladka [22] pointed out that the popularization of credit cards had increased the trend of personal bankruptcy, and by a statistical analysis, the American Bankruptcy Institute [23] showed the result that about 1 personal bankruptcy happens in every 175 adults, and by frequent itemset mining, Seeja and Zareapoor [24] developed a credit card fraud detection model to identify misbehaving tendencies.…”

Section: On Trend Studies Of Credit Card Usagementioning

confidence: 99%

Modeling the Trend of Credit Card Usage Behavior for Different Age Groups Based on Singular Spectrum Analysis

Nai¹,

Liu

Wang³

et al. 2018

Algorithms

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Credit card holders from different age groups have different usage behaviors, so deeply investigating the credit card usage condition and properly modeling the usage trend of all customers in different age groups from time series data is meaningful for financial institutions as well as banks. Until now, related research in trend analysis of credit card usage has mostly been focused on specific group of people, such as the behavioral tendencies of the elderly or college students, or certain behaviors, such as the increasing number of cards owned and the rise in personal card debt or bankruptcy, in which the only analysis methods employed are simply enumerating or classifying raw data; thus, there is a lack of support in specific mathematical models based on usage behavioral time series data. Considering that few systematic modeling methods have been introduced, in this paper, a novel usage trend analysis method for credit card holders in different age groups based on singular spectrum analysis (SSA) has been proposed, using the time series data from the Survey of Consumer Payment Choice (SCPC). The decomposition and reconstruction process in the method is proposed. The results show that the credit card usage frequency falls down from the age of 26 to the lowest point at around the age of 58 and then begins to increase again. At last, future work is discussed.

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High-Risk Health and Credit Behavior Among 18- to 25-Year-Old College Students

Abstract: Further research could clarify the nature of this relation.

Cited by 77 publications

References 2 publications

Health Habit, Perceived Health Status and Physical Health Status of Young Korean and Korean-Chinese Women: A Comparative Study

Health Habit, Perceived Health Status and Physical Health Status of Young Korean and Korean-Chinese Women: A Comparative Study

The relationship between personal unsecured debt and mental and physical health: A systematic review and meta-analysis

Modeling the Trend of Credit Card Usage Behavior for Different Age Groups Based on Singular Spectrum Analysis

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