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Article

Horticultural Activity Type, Psychological Well-Being, and Fruit and Vegetable Intake

by
Yu-Qiao Zhong
and
Hung-Ming Tu
*
Department of Horticulture, National Chung Hsing University, Taichung 40227, Taiwan
*
Author to whom correspondence should be addressed.
Nutrients 2020, 12(11), 3296; https://doi.org/10.3390/nu12113296
Submission received: 14 September 2020 / Revised: 16 October 2020 / Accepted: 26 October 2020 / Published: 28 October 2020
(This article belongs to the Section Sports Nutrition)
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Abstract

:
The purpose of this study was to explore the effect of the frequency of participation in horticultural activity types on psychological well-being and fruit and vegetable intake. The study sought to understand the mediating effect of psychological well-being between the frequency of types of horticultural activities and the frequency of fruit and vegetable intake. Convenience sampling was used to collect 400 valid data through a self-administered questionnaire that inquired about the frequency of four horticultural activity types (indoor plant activities, outdoor plant activities, arts/crafts activities, and excursions), the measure of psychological well-being, and the frequency of fruit and vegetable intake. The results showed that a higher frequency of indoor and outdoor plant activity positively affected psychological well-being. Psychological well-being played a partial mediation role between indoor plant activity and vegetable and fruit intake and a full mediation role between outdoor plant activity and vegetable and fruit intake. The plant-related arts/crafts activities and excursions were not associated with psychological well-being or vegetable and fruit intake.

1. Introduction

Participating in horticultural activities produces multiple benefits, including improvements in psychological well-being [1,2]. Zhu et al. designed a randomized controlled trial to demonstrate that a horticultural therapy program improved positive and negative emotions in patients with schizophrenia [1]. Ng et al. showed that a horticultural therapy program promoted psychological well-being in older adults [2]. Several studies have pointed out that participating in horticultural activity increases fruit and vegetable intake [3]. For instance, Alaimo et al. demonstrated that participating in a community garden increased the vegetable and fruit intake of urban adults [3]. Heim et al. showed that garden-based experiential learning activities increased fruit and vegetable intake in children [4]. This study focused on the mental health, psychological well-being, and the fruit and vegetable intake of individuals participating in horticultural activities.
Horticultural activities encompass multiple activity types. According to Relf [5], therapeutic tools in horticulture include arts/craft, group activities, excursions, indoor plant activities, outdoor plant activities, and related fields of study. For example, Masuya et al. [6] and Kenmochi et al. [7] mainly planned indoor plant activities in a horticultural activities program, whereas Park et al. [8] mainly planned outdoor plant activities in a horticultural activities program. The program activities can be inducted into four major types from past studies: indoor plant activities, outdoor plant activities, arts/crafts activities, and excursions [9]. Most horticultural activity programs consist of more than one type of activity based on the purpose of the program and the subject’s characteristics [9]. The four main types of activities mentioned above are also common leisure horticultural activities [10,11,12]. However, few studies have explored the benefits of different types of horticultural activities.
Different types of horticultural activities may produce different and similar benefits. For example, Tu et al. [13] showed that four types of horticultural activities (grass doll, kokedama, rocky leaf prints, and herb tasting and smelling) produced different physiological and mental states. Gigliotti et al. [14] showed that the three types of horticultural activities (cooking, crafts, and planting) for persons with dementia produced similar levels of positive affect and engagement. Because the activity programmers need to plan different horticultural activities for varied people and groups, the activity modifications for each horticultural program is critical from the evidence-based research [14]. Understanding the benefits of different types of horticultural activities can help activity programmers plans specific activities that match the participants’ needs. Which types of horticultural activities should be considered to meet the participants’ needs when activity programmers decide to promote mental health, well-being, and fruit and vegetable intake? For example, the frequency of participation in indoor and outdoor plant activities may have benefits for increasing the frequency of fruit and vegetable intake because past studies have indicated that fruit and vegetable intake is associated with the garden-based activities [3,4]. On the other hand, arts/crafts activities and excursions may not be associated with fruit and vegetable intake because most garden-based activities used gardening with nutritional education, cooking, and harvests to improve vegetable intake [15]. Which types of horticultural activities have benefits for mental health and psychological well-being is also an important issue that requires understanding. The first purpose of this study was to explore the effect of the frequency of participation in horticultural activity types on psychological well-being and on the frequency of fruit and vegetable intake.
Some studies have indicated that gardening does not affect fruit and vegetable intake [16,17]. Psychological well-being may be a potential mediating variable because positive psychological benefits affect health and nutrition behaviors, so well-being may predict health behaviors regarding fruit and vegetable intake [18]. Few studies have explored the potential mediation variables between horticultural activities and fruit and vegetable intake. Therefore, the second purpose of this study was to explore the mediation effect of psychological well-being between the frequency of four types of horticultural activities and the frequency of fruit and vegetable intake. According to the two purposes of this study, the study framework was determined and is shown in Figure 1.

2. Materials and Methods

2.1. Independent Variable

The independent variable was the frequency of participation in the types of horticultural activities. The horticultural activities can be generalized into four types based on previous studies [5,10,11,12] and horticultural therapy [1,2,6,7,8,9,19,20,21,22,23,24,25,26,27,28]. These include indoor plant activities, outdoor plant activities, arts/crafts activities, and excursions. Indoor plant activities included planting living plant in pots and using hydroponic cultivation in indoor houses. Outdoor plant activities included planting flowers, vegetables, fruits, and other plants in an outdoor environment. The arts/crafts activities included projects on living and lifeless plants, such as flower design; pressed, dried, and handmade flowers; plant ornaments; and other related activities. Excursions included travel to related horticultural spaces, such as farms, gardens, parks, exhibitions, mountains, and other natural spaces. This study used a 7-point scale to assess the frequency of participation during the last year in the four types of horticultural activities from 1 = absolute infrequency, 4 = regular frequency participation, and 7 = absolute frequency.

2.2. Mediating Variable

The mediating variable was psychological well-being. The Chinese Happiness Inventory (CHI) [29] was used to measure subjective well-being. The CHI combines the Oxford Happiness Inventory and the Chinese culture and has demonstrated good reliability and validity to measure Chinese subjective well-being [29]. The original inventory has 48 items. Considering the respondents’ patience, this study used a brief 10-item version of the CHI, which has demonstrated good reliability, to measure overall well-being [30,31,32,33]. The 10-item version consists of six dimensions, including optimism, positive affect, satisfaction with self, physical fitness, achievement at work, and peace of mind. Each item was assessed by the specific four statements. For example, one item of optimism dimension assessed four statements “I’m just messing around” (0 scores), “I like my life” (1 score), “I like my life very much” (2 scores), and “I love my life” (3 scores). The four statements were coded scores as 0 (lowest level of well-being) to 3 (highest level of well-being) for each item [30,31,32,33] to assess the levels of well-being over the last year. Higher scores presented higher subjective well-being. The overall Cronbach’s alpha was 0.93 in this study.

2.3. Dependent Variable

The dependent variable was the frequency of fruit and vegetable intake. Food frequency [34] was selected to assess the frequency of fruit and vegetable intake. This study referred to previous research [34,35] and used one item to assess the frequency of vegetable intake and one item to assess the frequency of fruit intake over the last one year on a 7-point scale ranging from 1 (absolute infrequency) to 7 (absolute frequency).

2.4. Data Collection

The flower market was a suitable site for collecting participants who take part in various types of gardening activities [10,11,12]. We determined that the largest flower market in Taipei City in Taiwan (the Jianguo Holiday Flower Market) was appropriate for collecting data from 5 January 2020 to 26 February 2020. This study used convenience sampling to capture individuals over 20 years old who participate in horticultural activities and the data were collected through a self-administered questionnaire, including the aforementioned independent variables, dependent variables, and control variables. Finally, 400 valid questionnaires were obtained. Female respondents (53.7%) responded more than male respondents (46.3%) (Table 1). More respondents were 50 to 59 years old (32.5%) or 40 to 49 years old (26.3%). Two-fifths of respondents were 20 to 29 years old (15.0%), 30 to 39 year old (13.3%), or older than 60 (13.0%). At the educational level, four-fifths of respondents had higher education, including university (44.3%), postgraduate (21.5%), and college (18.5%) education. In terms of monthly income, three-fifths of the respondents had less than USD 1666 (TWD 50,000), including less than USD 833 (TWD 25,000) (22.0%) and USD 834–1666 (TWD 25,001 to 50,000) (36.3%).

2.5. Data Analysis

The variables’ values of skewness and kurtosis were higher than 1.00 or lower than −1.00 (Table 2), which indicated non-normal data. The Partial Least Squares Structural Equation Modeling (PLS-SEM) method, which can analyze mediation analysis with multiple single-item independent variables in non-normal data [36,37,38] was used. This study used PLS-SEM to analyze the mediation relationship among the frequency participation in types of horticultural activities, psychological well-being, and the frequency of fruit and vegetable intake. Past references have suggested that the PLS-SEM measurement model should match the criteria below to reach internal consistency, convergent validity, and discriminant validity: Cronbach’s alpha > 0.7; composite reliability (CR) > 0.70; average variance extracted (AVE) > 0.50; square root of AVE’s > variables’ correlations; outer loadings > 0.70 and cross-loadings [37,39]. The PLS-SEM structural model should implement the steps below and consider the following criteria: testing collinearity through variance inflation faction (VIF) < 5.0; assessing in-sample predictive power through small (0.25) to large (0.75) R2 value and out-of-sample predictive power through Q2 values > 0.00; estimating effect size through small (0.02) to large (0.35) f2 and q2 value; and evaluating statistical significance through 5000 bootstrapped samples [37,39]. The PLS-SEM analyses were performed using SmartPLS 3 software [40]. Determination of the mediation effect was based on the guideline of Zhao, Lynch, and Chen [41] and Hair et al. [37], which explains that the significant indirect and direct effect was partial mediation and only a significant indirect effect plus no direct effect was full mediation in the PLS-SEM.

3. Results

The mean of the frequency of participation in indoor plant activities and excursions was 3.89 and 4.22, respectively, indicating regular frequency participation (Table 2). The mean of the frequency of participation in outdoor plant activities and arts/crafts activities was 2.24 and 2.08, respectively, indicating very infrequent participation. The mean of the dimensions of psychological well-being was 1.31 to 1.81, meaning that the respondents had moderate well-being. The mean of the intake frequency of vegetables and fruits was 5.60 and 5.25, respectively, indicating some frequency to high frequency.
For psychological well-being and vegetable and fruit intake, each Cronbach’s alpha, CR value, and AVE value was greater than 0.70, 0.70, and 0.05, respectively (Table 2). Each outer loading was also greater than 0.70 and the cross-loadings. The AVE’s square root was greater than the variables’ correlations (Table 3). The measurement model had sufficient internal consistency, convergent validity, and discriminant validity. In the structural model, each variable’s VIF was less than 5.0, indicating non-problematic levels of collinearity. The in-sample’s predictive power was small for psychological well-being (R2 = 0.09; adjusted R2 = 0.08) and the frequency of fruit and vegetable intake (R2 = 0.11 adjusted R2 = 0.10). The Q2 values were larger than zero, indicating that the out-of-sample predictive power (Q2 was 0.05 and 0.07, respectively, for psychological well-being and the frequency of fruit and vegetable intake). The range of q2 and f2 effect sizes were 0.00 to 0.04, indicating small effect sizes.
The frequency of participation in indoor plant activities had a positive and small direct effect on psychological well-being (β = 0.15, BCa 95% CI of 0.03 to 0.25, f2 = 0.02) (Table 4; Figure 2). Psychological well-being had a positive and small direct effect on the frequency of fruit and vegetable intake (β = 0.19, BCa 95% CI of 0.08 to 0.28, f2 = 0.04). The frequency of participation in indoor plant activities had a positive and small indirect (β = 0.03, BCa 95% CI of 0.01 to 0.06) and direct (β = 0.18, BCa 95% CI of 0.08 to 0.28) effect on the frequency of fruit and vegetable intake (f2 = 0.03), indicating that psychological well-being had partial mediation.
The frequency of participation in outdoor plant activities had a positive and small direct effect on psychological well-being (β = 0.16, BCa 95% CI of 0.06 to 0.25, f2 = 0.02) and presented a positive and small indirect effect on the frequency of fruit and vegetable intake (β = 0.03, BCa 95% CI of 0.01 to 0.06, f2 = 0.00). The frequency of the participation in outdoor plant activities had no direct effect on the frequency of fruit and vegetable intake (β = 0.00, BCa 95% CI of −0.10 to 0.10), indicating that psychological well-being had full mediation. The frequency of the participation in arts/crafts activities and excursions had no direct or indirect effect on psychological well-being or the frequency of fruit and vegetable intake.

4. Discussion

The result of this study showed that a higher frequency of indoor plant activities positively affected psychological well-being and the frequency of vegetable and fruit intake. Psychological well-being played a role of partial mediation between indoor plant activities and vegetable and fruit intake. Several studies have indicated that physical activities improve psychological well-being [42]. Outdoor plant activities produce low to moderate intensity physical activities during the process of preparation, planting, and maintenance [43]. The results of this study showed that a higher frequency of outdoor plant activities positively affected psychological well-being. The recent study of He et al. indicated that outdoor plant activities related to do edible vegetations reduced clinical symptoms of schizophrenia in female patients [44]. Interesting, the frequency of outdoor plant activities only had an indirect effect on the frequency of vegetable and fruit intake. The frequency of outdoor plant activities had no direct effect on the frequency of vegetable intake, showing full mediation. Outdoor plant activities completely affected the frequency of vegetable and fruit intake by promoting psychological well-being. Promoting regular public indoor and outdoor plant activities should be considered a useful method for improving psychological well-being and vegetables and fruit intake. The promotion of psychological well-being is an important process in increasing the frequency of vegetable and fruit intake.
Some cross-sectional studies have found that outdoor plant activities are associated with vegetable and fruit intake [3,4]. Some control trials, however, did not find evidence of this relationship [16,17]. Future studies should implement control trials and meta-analysis control trials to explore the relationship between plants activities and vegetable and fruit intake. The lower frequency of participation in outdoor plant activities was a possible factor. Future studies should cover higher frequency participation in outdoor plant activities to explore the effect on the frequency of vegetable and fruit intake. The outdoor plant activities factor was also potentially important because the experience of planting flowers may induce vegetable and fruit intake. Future studies should survey detailed experiences of planting vegetation, fruits, and flowers.
This study indicated that plant-related arts/crafts activities and excursions did not present benefits of psychological well-being. The study period may be a possible factor because this study assessed variables over one year that evaluated long-term horticultural behaviors and benefits. Plant-related arts/crafts activities and excursions may induce short-term benefits but did not affect long-term psychological well-being. The lower frequency of participation in arts/crafts activities was also a possible factor. In addition, plant-related arts/crafts activities and excursions were also not associated with the frequency of vegetable and fruit intake. The reason may be that the arts/crafts activities and excursions do not bring participants directly into contact with the vegetables and fruits but rather allow them to obtain related knowledge.
Some limitations to this study should be understood. First, this study was cross-sectional and cannot determine causality between the variables, although the variables were differentiated into independent and dependent variables. Second, this study did not compare the benefits of different types of horticultural activities because each respondent had different frequencies for the different types of horticultural activities. Third, this study did not add control variables because some studies did not consider the control variables to explore horticultural activities’ benefits on vegetable and fruit intake [3,4]. However, other variables, such as dietary factors, may affect long-term vegetable and fruit intake. Future studies should design control groups and experimental groups with single horticultural activities, using randomized controlled trials. They should consider related control variables to demonstrate causality and compare the benefits of different types of horticultural activities. The method included some strengths in this study. First, using cross-sectional study reduces the investigation time and cost to prove the mediation of psychological well-being. Although, the longitudinal mediation can establish causality. Second, using a cross-sectional study reduces the complexity when dealing with events at different periods in time.

5. Conclusions

A higher frequency of indoor and outdoor plant activities positively affected psychological well-being. Psychological well-being played a role of partial mediation between indoor plant activities and vegetable and fruit intake and a role of full mediation between outdoor plant activities and vegetable and fruit intake. Plant-related arts/crafts activities and excursions were not associated with psychological well-being or vegetable and fruit intake. Promoting regular public indoor and outdoor plant activities was a useful method to increase the public’s intake of vegetables and fruit, promoting psychological well-being.

Author Contributions

Conceptualization, Y.-Q.Z. and H.-M.T.; formal analysis, Y.-Q.Z. and H.-M.T.; funding acquisition, Y.-Q.Z.; investigation, Y.-Q.Z.; methodology, Y.-Q.Z. and H.-M.T.; project administration, Y.-Q.Z.; supervision, H.-M.T.; writing—original draft, Y.-Q.Z.; writing—review and editing, H.-M.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Science and Technology (MOST) in Taiwan, grant number MOST 108-2813-C-005-111-H.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhu, S.; Wan, H.; Lu, Z.; Wu, H.; Zhang, Q.; Qian, X.; Ye, C. Treatment effect of antipsychotics in combination with horticultural therapy on patients with schizophrenia: A randomized, double-blind, placebo-controlled study. Shanghai Arch. Psychiatry 2016, 28, 195–203. [Google Scholar]
  2. Ng, K.S.T.; Sia, A.; Ng, M.K.W.; Tan, C.T.Y.; Chan, H.Y.; Tan, C.H.; Rawtaer, I.; Feng, L.; Mahendran, R.; Larbi, A.; et al. Effects of horticultural therapy on Asian older adults: A randomized controlled trial. Int. J. Environ. Res. Public Health 2018, 15, 1705. [Google Scholar] [CrossRef] [Green Version]
  3. Alaimo, K.; Packnett, E.; Miles, R.A.; Kruger, D.J. Fruit and vegetable intake among urban community gardeners. J. Nutr. Educ. Behav. 2008, 40, 94–101. [Google Scholar] [CrossRef]
  4. Heim, S.; Stang, J.; Ireland, M. A garden pilot project enhances fruit and vegetable consumption among children. J. Am. Diet. Assoc. 2009, 109, 1220–1226. [Google Scholar] [CrossRef]
  5. Relf, P.D. Horticulture: A therapeutic tool. J. Rehabil. 1973, 39, 27–29. [Google Scholar]
  6. Masuya, J.; Ota, K.; Mashida, Y. The effect of a horticultural activities program on the psychologic, physical, cognitive function and quality of life of elderly people living in nursing homes. Int. J. Nurs. Clin. Pract. 2014, 1, 109. [Google Scholar] [CrossRef]
  7. Kenmochi, T.; Kenmochi, A.; Hoshiyama, M. Effects of horticultural therapy on symptoms and future perspective of patients with schizophrenia in the chronic stage. J. Ther. Hortic. 2019, 29, 1–10. [Google Scholar]
  8. Park, S.A.; Lee, A.Y.; Son, K.C.; Lee, W.L.; Kim, D.S. Gardening intervention for physical and psychological health benefits in elderly women at community centers. HortTechnology 2016, 26, 474–483. [Google Scholar] [CrossRef] [Green Version]
  9. Kam, M.C.; Siu, A.M. Evaluation of a horticultural activity programme for persons with psychiatric illness. Hong Kong J. Occup. Ther. 2010, 20, 80–86. [Google Scholar] [CrossRef]
  10. Chen, H.M.; Tu, H.M.; Ho, C.I. Exploring dimensions of attitudes toward horticultural activities. HortScience 2010, 45, 1120–1125. [Google Scholar] [CrossRef] [Green Version]
  11. Chen, H.M.; Tu, H.M.; Ho, C.I. Understanding biophilia leisure as facilitating well-being and the environment: An examination of participants’ attitudes toward horticultural activity. Leis. Sci. 2013, 35, 301–319. [Google Scholar] [CrossRef]
  12. Tu, H.M.; Chen, H.M.; Ho, C.I. The mediating effect of involvement on the relationship between attitude and behavior of leisure activity: A case study on horticultural activities. J. Outdoor Recreat. Stud. 2017, 30, 65–94. [Google Scholar]
  13. Tu, P.C.; Cheng, W.C.; Hou, P.C.; Chang, Y.S. Effects of types of horticultural activity on the physical and mental state of elderly individuals. Int. J. Environ. Res. Public Health 2020, 17, 5225. [Google Scholar] [CrossRef] [PubMed]
  14. Gigliotti, C.M.; Jarrott, S.E.; Yorgason, J. Harvesting health: Effects of three types of horticultural therapy activities for persons with dementia. Dementia 2004, 3, 161–180. [Google Scholar] [CrossRef]
  15. Kim, S.O.; Park, S. Garden-based integrated intervention for improving children’s eating behavior for vegetables. Int. J. Environ. Res. Public Health 2020, 17, 1257. [Google Scholar] [CrossRef] [Green Version]
  16. Christian, M.S.; Evans, C.E.; Nykjaer, C.; Hancock, N.; Cade, J.E. Evaluation of the impact of a school gardening intervention on children’s fruit and vegetable intake: A randomised controlled trial. Int. J. Behav. Nutr. Phys. Act. 2014, 11, 99. [Google Scholar] [CrossRef] [Green Version]
  17. Morgan, P.J.; Warren, J.M.; Lubans, D.R.; Saunders, K.L.; Quick, G.I.; Collins, C.E. The impact of nutrition education with and without a school garden on knowledge, vegetable intake and preferences and quality of school life among primary-school students. Public Health Nutr. 2010, 13, 1931–1940. [Google Scholar] [CrossRef] [Green Version]
  18. Boehm, J.K.; Soo, J.; Zevon, E.S.; Chen, Y.; Kim, E.S.; Kubzansky, L.D. Longitudinal associations between psychological well-being and the consumption of fruits and vegetables. Health Psychol. 2018, 37, 959–967. [Google Scholar] [CrossRef]
  19. Cha, H.S.; Lee, S. The effects of horticulture activity caring program on stress, depression, blood glucose, lipids for major company white-collar workers: A randomized controlled trial. J. Korea Acad. Industr. Coop. Soc. 2018, 19, 231–242. [Google Scholar]
  20. Chu, H.Y.; Chen, M.F.; Tsai, C.C.; Chan, H.S.; Wu, T.L. Efficacy of a horticultural activity program for reducing depression and loneliness in older residents of nursing homes in Taiwan. Geriatr. Nurs. 2019, 40, 386–391. [Google Scholar] [CrossRef]
  21. Detweiler, M.B.; Lane, S.; Spencer, L.; Lutgens, B.; Halling, M.H.; Rudder, T.F.; Lehmann, L. Horticultural therapy: A pilot study on modulating cortisol levels and indices of substance craving, posttraumatic stress disorder, depression, and quality of life in veterans. Altern. Ther. Health Med. 2015, 21, 36–41. [Google Scholar] [PubMed]
  22. Kim, K.H.; Park, S.A. Horticultural therapy program for middle-aged women’s depression, anxiety, and self-identify. Complement. Ther. Med. 2018, 39, 154–159. [Google Scholar] [CrossRef]
  23. Lai, C.K.; Kwan, R.Y.; Lo, S.K.; Fung, C.Y.; Lau, J.K.; Mimi, M.Y. Effects of horticulture on frail and prefrail nursing home residents: A randomized controlled trial. J. Am. Med. Dir. Assoc. 2018, 19, 696–702. [Google Scholar] [CrossRef]
  24. Lee, J.H.; Choi, H.S.; Yun, S.Y.; Choi, B.J.; Jang, E.J. Effects of horticultural activities and flower tea drinking based on reminiscent storytelling on demented elders’ cognitive and emotional functions. J. People Plants Environ. 2017, 20, 351–360. [Google Scholar] [CrossRef]
  25. Luk, K.Y.; Lai, C.; Li, C.C.; Cheung, W.H.; Lam, S.M.R. The effect of horticultural activities on agitation in nursing home residents with dementia. Int. J. Geriatr. Psychiatry 2011, 26, 435–436. [Google Scholar] [CrossRef] [PubMed]
  26. Makizako, H.; Tsutsumimoto, K.; Makino, K.; Nakakubo, S.; Liu-Ambrose, T.; Shimada, H. Exercise and horticultural programs for older adults with depressive symptoms and memory problems: A randomized controlled trial. J. Clin. Med. 2020, 9, 99. [Google Scholar] [CrossRef] [Green Version]
  27. Sia, A.; Ng, K.S.T.; Ng, M.K.W.; Chan, H.Y.; Tan, C.H.; Rawtaer, I.; Feng, L.; Mahendran, R.; Kua, E.H.; Ho, R.C.M. The effect of therapeutic horticulture on the psychological wellbeing of elderly in Singapore: A randomised controlled trial. J. Ther. Hortic. 2018, 28, 1–10. [Google Scholar]
  28. Vujcic, M.; Tomicevic-Dubljevic, J.; Grbic, M.; Lecic-Tosevski, D.; Vukovic, O.; Toskovic, O. Nature based solution for improving mental health and well-being in urban areas. Environ. Res. 2017, 158, 385–392. [Google Scholar] [CrossRef]
  29. Lu, L. The meaning, measure, and correlates of happiness among Chinese people. Proc. Natl. Sci. Counc. Part C 1998, 8, 115–137. [Google Scholar]
  30. Lu, L.; Hwang, M.T.; Kao, S.F. The bi-directional conflict of work and family: Antecedents, consequences and moderators. Res. Appl. Psychol. 2005, 27, 133–166. [Google Scholar]
  31. Lu, L. Cultural fit: Individual and societal discrepancies in values, beliefs and SWB. J. Soc. Psychol. 2006, 146, 203–221. [Google Scholar] [CrossRef] [PubMed]
  32. Lu, L.; Gilmour, R.; Kao, S.F.; Huang, M.T. A cross-cultural study of work/family demands, work/family conflict, and well-being: The Taiwanese vs. British. Career Dev. Int. 2006, 11, 9–27. [Google Scholar] [CrossRef]
  33. Lu, L.; Ung, K.C. Psychological traditionality, modernity and academic advisor-student fit and their influence on the quality of the relationship and students’ well-being. Indig. Psychol. Res. Chin. Soc. 2007, 27, 81–118. [Google Scholar]
  34. Thompson, F.E.; Byers, T. Dietary assessment resource manual. J. Nutr. 1994, 124, 2245s–2317s. [Google Scholar]
  35. Wei, M.H.; Lu, C.M. Stages of change and food frequency for fruit and vegetable intake among college students in Taiwan: An application of the transtheoretical model. J. Health Promot. Health Educ. Contents 2009, 32, 43–64. [Google Scholar]
  36. Hair, J.F.; Ringle, C.M.; Sarstedt, M. PLS-SEM: Indeed a silver bullet. J. Market Theor. Pract. 2011, 19, 139–152. [Google Scholar] [CrossRef]
  37. Hair, J.F.; Hult, G.T.M.; Ringle, C.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM); Sage Publications: New York, NY, USA, 2017. [Google Scholar]
  38. Hair, J.F.; Sarstedt, M.; Hopkins, L.; Kuppelwieser, V. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. Cent. Eur. Bus. Rev. 2014, 26, 106–121. [Google Scholar] [CrossRef]
  39. Tu, H.M. Does active leisure participation promote psychological capital through peer support in economically disadvantaged children? PLoS ONE 2020, 15, e0234143. [Google Scholar] [CrossRef]
  40. Ringle, C.M.; Wende, S.; Becker, J.M. SmartPLS. Version 3 [software]. Boenningstedt: SmartPLS GmbH. 2015. Available online: http://www.smartpls.com (accessed on 26 August 2020).
  41. Zhao, X.; Lynch, J.G.; Chen, Q. Reconsidering Baron and Kenny: Myths and truths about mediation analysis. J. Consum. Res. 2010, 37, 197–206. [Google Scholar] [CrossRef]
  42. White, R.L.; Babic, M.J.; Parker, P.D.; Lubans, D.R.; Astell-Burt, T.; Lonsdale, C. Domain-specific physical activity and mental health: A meta-analysis. Am. J. Prev. Med. 2017, 52, 653–666. [Google Scholar] [CrossRef]
  43. Park, S.A.; Lee, K.S.; Son, K.C. Determining exercise intensities of gardening tasks as a physical activity using metabolic equivalents in older adults. HortScience 2011, 46, 1706–1710. [Google Scholar] [CrossRef] [Green Version]
  44. He, H.; Yu, Y.; Li, J.; Hu, L.; Zhou, F. Edible horticultural therapy for the rehabilitation of long-term hospitalized female schizophrenic patients. HortScience 2020, 55, 699–702. [Google Scholar] [CrossRef] [Green Version]
Nutrients 12 03296 g001 550
Figure 1. Study framework.
Figure 1. Study framework.
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Figure 2. The analysis of PLS-SEM.
Figure 2. The analysis of PLS-SEM.
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Table
Table 1. Descriptive statistics of respondents.
Table 1. Descriptive statistics of respondents.
VariablesN(%)
Sex
 Male18546.3
 Female21553.7
Age (years)
 20–296015.0
 30–395313.3
 40–4910526.3
 50–5913032.5
 60 or older5213.0
Education level
 Primary71.8
 High school5614.0
 College7418.5
 University17744.3
 Postgraduate8621.5
Monthly income
 Less than USD 833 (TWD 25,000)8822.0
 USD 834–1666 (TWD 25,001–50,000)14536.3
 USD 1667–2500 (TWD 50,001–75,000)8922.3
 USD 2501–3333 (TWD 75,001–100,000)4711.8
 More than USD 3334 (TWD 100,001)317.8
Table
Table 2. Internal consistency, convergent validity, convergent validity, and discriminant validity.
Table 2. Internal consistency, convergent validity, convergent validity, and discriminant validity.
VariablesM (SD)SkewnessKurtosisFactor Loading and Cross LoadingCronbach’s αComposite Reliability
(CR)		Average Variance Extracted
(AVE)
IPOPACEXPWBFV
IP: indoor plant activity frequency3.89(2.17)0.09−1.341.000.240.280.330.220.251.001.001.00
OP: outdoor plant activity frequency2.24(2.00)1.400.490.241.000.230.290.220.111.001.001.00
AC: arts/crafts activity frequency2.08(1.61)1.491.330.280.231.000.230.150.091.001.001.00
EX: excursion frequency4.22(1.62)−0.05−0.660.330.290.231.000.170.181.001.001.00
PWB: psychological well-being 0.840.930.86
PWB1: optimism1.54(0.74)0.20−0.440.220.190.110.140.910.23
PWB2: achievement at work1.58(0.84)0.03−0.610.170.200.110.150.780.16
PWB3: positive affect1.52(0.59)0.47−0.250.190.170.120.120.860.18
PWB 4: physical fitness1.31(0.76)0.30−0.160.190.210.150.160.820.18
PWB 5: satisfaction with self1.69(0.59)−0.310.040.130.160.140.090.790.18
PWB 6: peace of mind1.81(0.77)−0.12−0.510.180.170.100.170.740.25
FV: fruit and vegetable Intake 0.900.920.67
FV1: vegetable intake frequency5.60(1.44)−0.73−0.310.200.100.050.150.210.92
FV2: fruit intake frequency5.25(1.55)−0.50−0.750.260.100.100.180.240.94
Table
Table 3. Fornell–Larker criterion.
Table 3. Fornell–Larker criterion.
IPOPACEXPWBFV
IP: indoor plant activity frequency1.00
OP: outdoor plant activity frequency0.241.00
AC: arts/crafts activity frequency0.280.231.00
EX: excursion frequency0.330.290.231.00
PWB: psychological well-being0.220.220.150.170.82
FV: fruit and Vegetable Intake0.250.110.090.180.240.93
Table
Table 4. Path coefficients of direct effects and indirect effects.
Table 4. Path coefficients of direct effects and indirect effects.
ParameterDirect EffectIndirect Effect
Coefficientt ValueBCa 95% CICoefficientt ValueBCa 95% CI
IP -> PWB0.15 **2.630.03; 0.25
OP -> PWB0.16 **3.080.06; 0.25
AC -> PWB0.051.06−0.05; 0.15
EX -> PWB0.061.14−0.04; 0.18
IP -> FV0.18 ***3.480.08; 0.280.03 *2.080.01; 0.06
OP -> FV0.000.03−0.10; 0.100.03 *2.160.01; 0.06
AC -> FV−0.010.29−0.12; 0.080.010.98−0.01; 0.03
EX -> FV0.091.71−0.02; 0.190.011.08−0.01; 0.04
PWB -> FV0.19 ***3.700.08; 0.28
* p < 0.05; ** p < 0.01; *** p < 0.01; AC: arts/crafts activity frequency; BCa 95% CI: bias-corrected and accelerated 95% confidence interval based on 5000 bootstrapped samples; EX: excursion frequency; FV: fruit and vegetable intake; IP: indoor plant activity frequency; OP: outdoor plant activity frequency; PWB: psychological well-being.
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Zhong, Y.-Q.; Tu, H.-M. Horticultural Activity Type, Psychological Well-Being, and Fruit and Vegetable Intake. Nutrients 2020, 12, 3296. https://doi.org/10.3390/nu12113296

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Zhong Y-Q, Tu H-M. Horticultural Activity Type, Psychological Well-Being, and Fruit and Vegetable Intake. Nutrients. 2020; 12(11):3296. https://doi.org/10.3390/nu12113296

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Zhong, Yu-Qiao, and Hung-Ming Tu. 2020. "Horticultural Activity Type, Psychological Well-Being, and Fruit and Vegetable Intake" Nutrients 12, no. 11: 3296. https://doi.org/10.3390/nu12113296

APA Style

Zhong, Y. -Q., & Tu, H. -M. (2020). Horticultural Activity Type, Psychological Well-Being, and Fruit and Vegetable Intake. Nutrients, 12(11), 3296. https://doi.org/10.3390/nu12113296

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