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Fruit and vegetable intake and incident and persistent poor sleep quality in a rural ageing population in South Africa: longitudinal study

Published online by Cambridge University Press:  28 July 2022

Supa Pengpid  and
Karl Peltzer Open the ORCID record for Karl Peltzer [Opens in a new window]
Supa Pengpid
Affiliation:
Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand; and Department of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa
Karl Peltzer*
Affiliation:
Department of Psychology, University of the Free State, Bloemfontein, South Africa; and Department of Psychology, College of Medical and Health Sciences, Asia University, Taichung, Taiwan
*
Correspondence: Karl Peltzer, Email: [email protected]
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Abstract

Background

Fruit and vegetable intake may improve sleep.

Aims

To assess the relationship between fruit and vegetable intake and sleep quality in a longitudinal study.

Method

We analysed longitudinal data from two consecutive population surveys of adults in Agincourt, South Africa (2014–2015 and 2018–2019).

Results

In total, 331 of 2975 participants without poor sleep quality in Wave 1 (11.1%) had incident poor sleep quality in Wave 2, and 270 of 3546 participants who had poor sleep quality in Wave 1 (7.6%) had poor sleep quality in both Waves 1 and 2 (persistent poor sleep quality). The prevalence of poor sleep quality at baseline was 17.2%. In the fully adjusted model for people without poor sleep quality at baseline, higher fruit and vegetable consumption (≥5 servings/day) was positively associated with incident poor sleep quality among men (AOR = 1.43, 95% CI 1.51–2.01) but not among women (AOR = 1.09, 95% CI 0.78–1.46). Two or more servings of fruits were positively associated with incident poor sleep quality among men (AOR = 3.35, 95% CI 1.96–5.72) and among women (AOR = 1.84, 95% CI 1.15–2.94). No models among men and women showed a significant association between vegetable intake and incident poor sleep quality or between fruit and vegetable intake, vegetable intake and persistent poor sleep quality. Fruit intake (one serving) was positively associated with persistent poor sleep quality among men (AOR = 1.76, 95% CI 1.00–3.08) but not among women (AOR = 1.42, 95% CI 0.93–2.18).

Conclusions

Higher fruit and vegetable intake was independently associated with poorer sleep quality among men but not women, and higher fruit but not vegetable intake was associated with poorer sleep quality among both men and women.

Keywords

Fruit and vegetable intakesleep qualitylongitudinal studySouth Africa
Type
Papers
Information
BJPsych Open , Volume 8 , Issue 5 , September 2022 , e149
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists

Suboptimal sleep is a major public health burden globally: ‘about 25% of adults are dissatisfied with their sleep, 10–15% report symptoms of insomnia associated with daytime consequences, and 6–10% meet criteria for an insomnia disorder’.Reference Morin and Benca1 For example, in older adults in South Africa, 9.1% reported nocturnal sleep problemsReference Peltzer2 and among older rural South Africans 31.3% of men and 27.2% of women reported nocturnal sleep problems.Reference Stranges, Tigbe, Gómez-Olivé, Thorogood and Kandala3 It would be important to identify modifiable behaviours, such as the intake of fruit and vegetables, that are beneficial to sleep quality to reduce the public health impact.Reference Jansen, She, Rukstalis and Alexander4

A systematic review found that a healthy diet (including fruit, vegetable and milk) was reported to be linked to higher sleep satisfaction.Reference Godos, Grosso, Castellano, Galvano, Caraci and Ferri5 Several cross-sectional studies, for example among mid-life Mexican women,Reference Jansen, Stern, Monge, O'Brien, Lajous and Peterson6 young American adultsReference Jansen, She, Rukstalis and Alexander7 and older adults in China,Reference Lee, Chang, Lee, Shelley and Liu8 showed that a higher intake of fruit and vegetables was beneficial to sleep quality. Among urban adults in China, higher fruit but not vegetable intake was inversely associated with poor sleep quality.Reference Wu, Zhao, Szeto, Wang, Meng and Li9 In Japanese workers, lower vegetable intake increased the odds of poor sleep qualityReference Katagiri, Asakura, Kobayashi, Suga and Sasaki10 and among Brazilian workers, inadequate fruit and vegetable intake was associated in both men and women with poor sleep quality.Reference Hoefelmann, Lopes Ada, Silva, Silva, Cabral and Nahas11 In another cross-sectional study among university students from 28 countries, higher fruit and vegetable intake decreased the odds of poor sleep quality.Reference Pengpid and Peltzer12

A longitudinal study among young adults in Pennsylvania, USA, found that women with chronic insomnia who increased their intake of fruit and vegetables by three servings/day were twice as likely to report symptoms no longer meeting the threshold for chronic insomnia at 3 months.Reference Jansen, She, Rukstalis and Alexander4 It is unclear whether fruit and vegetable intake is associated with incident and persistent poor sleep quality in Africa. Hence, this investigation aimed to evaluate the association between fruit and vegetable intake and incident and persistent poor sleep quality in a longitudinal study in rural South Africa.

Method

Participants and procedures

We analysed longitudinal data from two consecutive waves of ‘Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa’ (HAALSI). Full information on the sampling methodology has been previously detailed.Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13 The first survey (November 2014 to November 2015) included 5059 individuals (≥40 years of age) and had a response rate of 85.9%;Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13 the second survey (October 2018 to November 2019) included 4176 members of the Wave 1 HAALSI cohort (595 (12%) died during follow-up; 254 (5%) declined participation; 34 (<1%) were not found; response rate: 94%).Reference Kobayashi, Farrell, Langa, Mahlalela, Wagner and Berkman14 The study was conducted by trained field workers in the homes of participants using computer-assisted personal interviewing (CAPI).Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving human participants/patients were approved by the University of the Witwatersrand Human Research Ethics Committee (ref. M141159), the Harvard T.H. Chan School of Public Health, Office of Human Research Administration (ref. C13–1608–02) and the Mpumalanga Provincial Research and Ethics Committee. All participants provided written informed consent.

Measures

Outcome variable

In the first and second survey poor sleep quality was assessed using the Brief Version of the Pittsburgh Sleep Quality Index (B-PSQI), which includes five domains: self-reported sleep quality, sleep latency, sleep duration, habitual sleep efficiency and sleep disturbances during the past month.Reference Sancho-Domingo, Carballo, Coloma-Carmona and Buysse15 Summary scores range from 0 to 15 and a B-PSQI cut-off of ≥5 was used to define poor sleep quality; sensitivity and specificity rates are similar to the original PSQI version.Reference Sancho-Domingo, Carballo, Coloma-Carmona and Buysse15

Exposure variable

Fruit and vegetable intake was identified using the following items:

  1. (a) ‘In a typical week, on how many days do you eat fruit? (… days)’

  2. (b) ‘How many servings of fruit do you eat on a typical day? (on any one day) (… servings)’ [use of show cards, one standard serving equals 80 g, 1 medium-size piece of apple, banana, orange, etc.; half a cup of chopped, cooked, canned fruit, etc.; half a cup of fruit juice (juice from fruit, not artificially flavoured)]

  3. (c) ‘In a typical week, on how many days do you eat vegetables? (… days)’

  4. (d) ‘How many servings of vegetables do you eat on a typical day? (on any one day) (… servings)’ [use of show cards, one standard serving equals 80 g, 1 cup of raw green leafy vegetables (spinach, salad, etc.), half a cup of tomatoes, carrots, pumpkin, corn, Chinese cabbage, fresh beans, onion, etc., half a cup of vegetable juice].Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13

Covariates

  1. (a) Sociodemographic information, including education, age, marital and migration status, and asset-based household wealth status.Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13

  2. (b) Current tobacco use, defined as current non-smoking and/or current tobacco smoking.Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13

  3. (c) Alcohol dependence, assessed using the four-item CAGE questionnaireReference Ewing16 (Cronbach's alpha was 0.82).

  4. (d) Body mass index (BMI), classified according to World Health Organization criteria.17

  5. (e) Hypertension, defined based on Joint National Committee on Prevention, Detection, Evaluation and Treatment of High Blood Pressure criteria.Reference Chobanian, Bakris, Black, Cushman, Green and Izzo18

  6. (f) Dyslipidaemia, defined as total cholesterol >6.21 mmol/L, HDL-C <1.19 mmol/L, LDL-C >4.1 mmol/L, triglycerides >2.25 mmol/L, or ever diagnosed or medication use for high cholesterol.Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13

  7. (g) Diabetes, classified as fasting glucose (defined as >8 h) >7 mmol/L (126 mg/dL), or ever diagnosed or medication use for diabetes.Reference Gómez-Olivé, Montana, Wagner, Kabudula, Rohr and Kahn13

  8. (h) Physical activity and its levels, classified using the General Physical Activity Questionnaire (GPAQ).Reference Armstrong and Bull19,20

  9. (i) Sedentary behaviour, identified using one question on the GPAQ – ‘time usually spend sitting or reclining on a typical day?’Reference Armstrong and Bull19 – and grouped into <4 h, 4 to <8 h and >8 h per day.Reference van der Ploeg, Chey, Korda, Banks and Bauman21

  10. (j) Depressive symptoms, defined as scores ≥3 on the eight-item Center for Epidemiological Studies Depression Scale (CES-D 8)Reference Radloff22 (Cronbach's alpha 0.66).

  11. (k) Post-traumatic stress disorder (PTSD) symptoms, defined as ≥4 symptoms identified using a short screening scale for DSM-IV PTSDReference Breslau, Peterson, Kessler and Schultz23 (Cronbach's alpha 0.83).

Data analysis

The proportion of participants with incident and persistent poor sleep quality was calculated and described. The first longitudinal logistic regression analysis excluded those with poor sleep quality at baseline, leaving a sample of 3904 individuals, to estimate incident poor sleep quality (using scores ≥5 as the cut-off), and the second logistic regression analysis estimated longitudinal persistent poor sleep quality (using scores ≥4 as the cut-off). Fruit and vegetable intake was the main predictor, controlled for sociodemographics, substance use, physical activity, sedentary behaviour, BMI and chronic health conditions. Levels of P < 0.05 were accepted as statistically significant. Logistic regression models included inverse probability weights that accounted for the probabilities of mortality and attrition during follow-up.Reference Kobayashi, Morris, Harling, Farrell, Kabeto and Wagner24 All analyses were performed using Stata SE 15.0 for Windows (College Station, TX, USA).

Results

Sample characteristics by incident and persistent poor sleep quality

In total, 331 of 2775 participants without poor sleep quality in Wave 1 (11.1%) had incident poor sleep quality in Wave 2 and 270 of 3546 participants who had poor sleep quality in Wave 1 (7.6%) had poor sleep quality in both Wave 1 and 2 (persistent poor sleep quality). The prevalence of poor sleep quality at baseline was 17.2%. Table 1 shows characteristics of participants by incident and persistent poor sleep quality.

Table 1 Sample characteristics by incident and persistent depression, Agincourt, South Africa, 2014–2019

B-PSQI, Brief Version of the Pittsburgh Sleep Quality Index; PTSD, post-traumatic stress disorder.

Correlations between fruit and vegetable intake and incident poor sleep quality

In the fully adjusted model for people without poor sleep quality at baseline, higher fruit and vegetable consumption (≥5 servings/day) was positively associated with incident poor sleep quality among men (AOR = 1.43, 95% CI 1.51–2.01) but not among women (AOR = 1.09, 95% CI 0.78–1.46). Two or more servings of fruits were positively associated with incident poor sleep quality among men (AOR = 3.35, 95% CI 1.96–5.72) and among women (AOR = 1.84, 95% CI 1.15–2.94). No models among men or women showed a significant association between vegetable intake and incident poor sleep quality (Table 2).

Table 2 Longitudinal association between fruit and vegetable consumption and incident poor sleep quality (scores ≥5 on B-PSQI), Agincourt, South Africa, 2014–2019a

B-PSQI, Brief Version of the Pittsburgh Sleep Quality Index.

a. Model 1: adjusted for age, education, migration, marital and wealth status. Model 2: adjusted for Model 1 variables, plus substance use, physical activity, sedentary behaviour and body mass index. Model 3: adjusted for Model 1 and 2 variables, plus dyslipidaemia, hypertension and diabetes. Model 4: adjusted for Model 1–3 variables plus depressive symptoms and post-traumatic stress disorder symptoms.

*P < 0.05; **P < 0.01; ***P < 0.001.

Associations between fruit and vegetable intake and persistent poor sleep quality

Table 3 shows, based on the longitudinal analysis, associations between fruit and vegetable intake and persistent poor sleep quality. No models for either gender showed a significant association between fruit and vegetable intake and persistent poor sleep quality. Fruit intake (one serving) was positively associated with persistent poor sleep quality among men (AOR = 1.76, 95% CI 1.00–3.08) but not among women (AOR = 1.42, 95% CI 0.93–2.18).

Table 3 Longitudinal association between fruit and vegetable consumption and persistent poor sleep quality (scores ≥4 on B-PSQI), Agincourt, South Africa, 2014–2019a

B-PSQI, Brief Version of the Pittsburgh Sleep Quality Index.

a. Model 1: adjusted for age, education, migration, marital and wealth status. Model 2: adjusted for Model 1 variables, plus substance use, physical activity, sedentary behaviour and body mass index. Model 3: adjusted for Model 1 and 2 variables, plus dyslipidaemia, hypertension and diabetes. Model 4: adjusted for Model 1–3 variables plus depressive symptoms and post-traumatic stress disorder symptoms.

* P < 0.05.

Discussion

In this first longitudinal study on the subject among an ageing population in South Africa, we found that compared with low fruit and vegetable intake, high fruit and vegetable intake was positively associated with incident poor sleep quality 4 years later among men and but not women. Higher fruit intake increased the odds of incident poor sleep quality in both genders. No association was found between vegetable intake and incident and persistent poor sleep quality. Among men only, compared with no serving of fruit, having one fruit serving a day was positively associated with persistent poor sleep quality.

Contrary to these findings, previous cross-sectional and longitudinal studies found an inverse relationship between fruit and vegetable intake, fruit intake and poor sleep quality.Reference Jansen, She, Rukstalis and Alexander4–Reference Jansen, Stern, Monge, O'Brien, Lajous and Peterson6,Reference Lee, Chang, Lee, Shelley and Liu8,Reference Wu, Zhao, Szeto, Wang, Meng and Li9,Reference Hoefelmann, Lopes Ada, Silva, Silva, Cabral and Nahas11,Reference Pengpid and Peltzer12 Similar to the study among Chinese urban adults,Reference Wu, Zhao, Szeto, Wang, Meng and Li9 we found no association between vegetable intake and poor sleep quality, whereas in a study in Japan lower vegetable intake increased the odds of poor sleep quality.Reference Katagiri, Asakura, Kobayashi, Suga and Sasaki10 It is possible that poor sleep quality increases emotional distress, leading to more fruit consumption, potentially reducing negative mood,Reference Finch, Cummings, Lee and Tomiyama25 which points to a possible bidirectional relationship between fruit and vegetable consumption and poor sleep quality.Reference Noorwali, Hardie and Cade26

We found gender differences in the positive relationship between fruit and vegetable intake and incident poor sleep quality and fruit intake and persistent poor sleep quality among ageing men in South Africa, whereas among young American adults higher fruit and vegetable intake decreased incident insomnia among women.Reference Jansen, She, Rukstalis and Alexander4 In the present study higher fruit intake was strongly associated with higher wealth status (P < 0.001, analysis not shown), and higher wealth status may also be associated with high calorie-dense food, which is related to poor sleep quality.Reference Kobayashi, Morris, Harling, Farrell, Kabeto and Wagner24 Further investigations are needed to identify possible reasons for the found gender differences in fruit and vegetable intake in relation to poor sleep quality.

Study limitations

Some data, including sleep quality, were assessed by self-report and not verified by actigraphy or polysomnography, which may have led to an over- or underestimation of poor sleep quality. We were not able to show reasons for poor sleep quality and how this may be related to social or personality characteristics. Furthermore, participants who did not have poor sleep quality in Wave 1 may have had poor sleep quality before. Perceived stress, which might serve as a moderator between fruit intake and poor sleep quality, was not evaluated in this study, and other dietary behaviours that might have contributed to sleep quality, such as calorie-dense food intake, were not measured.

Data availability

The data used in this study are publicly available at the Harvard Center for Population and Development Studies (HCPDS) programme website (www.haalsi.org).

Author contributions

Both authors conceived and designed the research, performed statistical analysis, drafted the manuscript and made critical revisions of the manuscript for key intellectual content. Both authors read and approved the final version of the manuscript and agreed to the authorship and order of authorship.

Funding

HAALSI (Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa) is sponsored by the National Institute on Aging (grant number 1P01AG041710-01A1) and is conducted by the Harvard Center for Population and Development Studies in partnership with Witwatersrand University. The Agincourt HDSS was supported by the Wellcome Trust, UK (058893/Z/99/A, 069683/Z/02/Z, 085477/Z/08/Z and 085477/B/08/Z), the University of the Witwatersrand and South African Medical Research Council.

Declaration of interest

None.

References

Morin, CM, Benca, R. Chronic insomnia. Lancet 2012; 379: 1129–41.10.1016/S0140-6736(11)60750-2CrossRefGoogle ScholarPubMed
Peltzer, K. Socio-demographic and health correlates of sleep problems and duration in older adults in South Africa. S Afr J Psychiatry 2012; 18: 150–6.Google Scholar
Stranges, S, Tigbe, W, Gómez-Olivé, FX, Thorogood, M, Kandala, NB. Sleep problems: an emerging global epidemic? Findings from the INDEPTH WHO-SAGE study among more than 40,000 older adults from 8 countries across Africa and Asia. Sleep 2012; 35: 1173–81.10.5665/sleep.2012CrossRefGoogle ScholarPubMed
Jansen, EC, She, R, Rukstalis, M, Alexander, GL. Changes in fruit and vegetable consumption in relation to changes in sleep characteristics over a 3-month period among young adults. Sleep Health 2021; 7: 345–52.10.1016/j.sleh.2021.02.005CrossRefGoogle Scholar
Godos, J, Grosso, G, Castellano, S, Galvano, F, Caraci, F, Ferri, R. Association between diet and sleep quality: a systematic review. Sleep Med Rev 2021; 57: 101430.10.1016/j.smrv.2021.101430CrossRefGoogle ScholarPubMed
Jansen, EC, Stern, D, Monge, A, O'Brien, LM, Lajous, M, Peterson, KE, et al. Healthier dietary patterns are associated with better sleep quality among midlife Mexican women. J Clin Sleep Med 2020; 16: 1321–30.10.5664/jcsm.8506CrossRefGoogle ScholarPubMed
Jansen, EC, She, R, Rukstalis, MM, Alexander, GL. Sleep duration and quality in relation to fruit and vegetable intake of US young adults: a secondary analysis. Int J Behav Med 2021; 28: 177–88.10.1007/s12529-020-09853-0CrossRefGoogle ScholarPubMed
Lee, YH, Chang, YC, Lee, YT, Shelley, M, Liu, CT et al. Dietary patterns with fresh fruits and vegetables consumption and quality of sleep among older adults in mainland China. Sleep Biol Rhythms 2018; 16: 293–305.10.1007/s41105-018-0163-9CrossRefGoogle Scholar
Wu, W, Zhao, A, Szeto, IM, Wang, Y, Meng, L, Li, T, et al. Diet quality, consumption of seafood and eggs are associated with sleep quality among Chinese urban adults: a cross-sectional study in eight cities of China. Food Sci Nutr 2019; 7: 2091–102.10.1002/fsn3.1050CrossRefGoogle ScholarPubMed
Katagiri, R, Asakura, K, Kobayashi, S, Suga, H, Sasaki, S. Low intake of vegetables, high intake of confectionary, and unhealthy eating habits are associated with poor sleep quality among middle-aged female Japanese workers. J Occup Health 2014; 56: 359–68.10.1539/joh.14-0051-OACrossRefGoogle ScholarPubMed
Hoefelmann, LP, Lopes Ada, S, Silva, KS, Silva, SG, Cabral, LG, Nahas, MV. Lifestyle, self-reported morbidities, and poor sleep quality among Brazilian workers. Sleep Med 2012; 13: 1198–201.10.1016/j.sleep.2012.05.009CrossRefGoogle ScholarPubMed
Pengpid, S, Peltzer, K. Fruit and vegetable consumption is protective from short sleep and poor sleep quality among university students from 28 countries. Nat Sci Sleep 2020; 12: 627–33.10.2147/NSS.S263922CrossRefGoogle ScholarPubMed
Gómez-Olivé, FX, Montana, L, Wagner, RG, Kabudula, CW, Rohr, JK, Kahn, K, et al. Cohort profile: health and ageing in Africa: a longitudinal study of an INDEPTH Community in South Africa (HAALSI). Int J Epidemiol 2018; 47: 689–90j.10.1093/ije/dyx247CrossRefGoogle Scholar
Kobayashi, LC, Farrell, MT, Langa, KM, Mahlalela, N, Wagner, RG, Berkman, LF. Incidence of cognitive impairment during aging in rural South Africa: evidence from HAALSI, 2014 to 2019. Neuroepidemiology 2021; 55: 100–8.10.1159/000513276CrossRefGoogle ScholarPubMed
Sancho-Domingo, C, Carballo, JL, Coloma-Carmona, A, Buysse, DJ. Brief version of the Pittsburgh Sleep Quality Index (B-PSQI) and measurement invariance across gender and age in a population-based sample. Psychol Assess 2021; 33: 111–21.10.1037/pas0000959CrossRefGoogle Scholar
Ewing, JA. Detecting alcoholism: the CAGE questionnaire. JAMA 1984; 252: 1905–7.10.1001/jama.1984.03350140051025CrossRefGoogle ScholarPubMed
World Health Organization. Obesity: Preventing and Managing the Global Epidemic – Report of a WHO Consultation. WHO, 2000.Google Scholar
Chobanian, AV, Bakris, GL, Black, HR, Cushman, WC, Green, LA, Izzo, JL Jr, et al. The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003; 289: 2560–72.10.1001/jama.289.19.2560CrossRefGoogle ScholarPubMed
Armstrong, T, Bull, F. Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health 2006; 14: 66–70.10.1007/s10389-006-0024-xCrossRefGoogle Scholar
World Health Organization. Global Physical Activity Surveillance: Global Physical Activity Questionnaire (GPAQ). WHO, 2009 (https://www.who.int/publications/m/item/global-physical-activity-questionnaire [accessed 2 Oct 2021]).Google Scholar
van der Ploeg, HP, Chey, T, Korda, RJ, Banks, E, Bauman, A. Sitting time and all-cause mortality risk in 222 497 Australian adults. Arch Intern Med 2012; 172: 494–500.10.1001/archinternmed.2011.2174CrossRefGoogle ScholarPubMed
Radloff, LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977; 1: 385–401.10.1177/014662167700100306CrossRefGoogle Scholar
Breslau, N, Peterson, EL, Kessler, RC, Schultz, LR. Short screening scale for DSM-IV posttraumatic stress disorder. Am J Psychiatry 1999; 156: 908–11.10.1176/ajp.156.6.908CrossRefGoogle ScholarPubMed
Kobayashi, LC, Morris, EP, Harling, G, Farrell, MT, Kabeto, MU, Wagner, RG, et al. Subjective social position and cognitive function in a longitudinal cohort of older, rural South African adults, 2014–2019. J Epidemiol Community Health 2022; 76: 385–90.10.1136/jech-2021-217059CrossRefGoogle Scholar
Finch, LE, Cummings, JR, Lee, SC, Tomiyama, AJ. A Pavlovian intervention to condition comforting effects of fruits. Psychosom Med 2021; 83: 1050–7.10.1097/PSY.0000000000001008CrossRefGoogle ScholarPubMed
Noorwali, E, Hardie, L, Cade, J. Bridging the reciprocal gap between sleep and fruit and vegetable consumption: a review of the evidence, potential mechanisms, implications, and directions for future work. Nutrients 2019; 11(6): 1382.10.3390/nu11061382CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Sample characteristics by incident and persistent depression, Agincourt, South Africa, 2014–2019

Figure 1

Table 2 Longitudinal association between fruit and vegetable consumption and incident poor sleep quality (scores ≥5 on B-PSQI), Agincourt, South Africa, 2014–2019a

Figure 2

Table 3 Longitudinal association between fruit and vegetable consumption and persistent poor sleep quality (scores ≥4 on B-PSQI), Agincourt, South Africa, 2014–2019a

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