Food and Nutrition Sciences, 2013, 4, 1239-1246 Published Online December 2013 (http://www.scirp.org/journal/fns) http://dx.doi.org/10.4236/fns.2013.412158 Open Access FNS Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses Mahshid Naghashpour1,2, Reza Amani2,3*, Sorur Nematpour4, Mohammad Hosein Haghighizadeh5 1Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; 2Department of Nutrition, School of Paramedicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; 3Diabetes Research Center, Ahvaz Jundishapur Uni- versity of Medical Sciences, Ahvaz, Iran; 4Golestan Medical Center, Jundishapur University of Medical Sciences, Ahvaz, Iran; 5Department of Statistics and Epidemiology, Jundishapur University of Medical Sciences, Ahvaz, Iran. Email: *rezaamani@hotmail.com Received June 13th, 2013; revised July 13th, 2013; accepted July 20th, 2013 Copyright © 2013 Mahshid Naghashpour et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In accordance of the Creative Commons Attribution License all Copyrights © 2013 are reserved for SCIRP and the owner of the intellectual property Mahshid Naghashpour et al. All Copyright © 2013 are guarded by law and by SCIRP as a guardian. ABSTRACT Objectives: The aim of this study was to compare nutrients intake, anthropometric, biochemical and psychiatric indices between shift working and day-time nurses. Methods: A cross-sectional comparative study was conducted in which ninety eight female nurses (55 day-time workers and 43 shift workers) from six educational hospitals of Jondi-Shapour University of medical sciences, Ahvaz, Iran were participated. A questionnaire including dietary, anthropometric, dis- ease history and lifestyle pattern questions was completed and 3-day 24-hour recalls, Beck Depression Inventory (BDI) and Hospital Anxiety and Depression Scale (HADS) were collected. Serum hs-CRP and 25(OH)D3 concentrations were measured by immunoturbidimetric and electrochemiluminescent immunoassay method, respectively. Anthropometric indices were measured according to World health organization standard protocol. Independent sample t and chi-square tests were used for statistical analysis. Results: There was a lower dietary intake of thiamin, riboflavin, niacin, folate, magnesium and iron in shift worker compared with day-time nurses (p < 0.05). No significant differences in serum hs-CRP concentrations, serum 25(OH)D3 levels, vitamin D deficiency percentage, hemoglobin and hematocrite concen- trations, and also anthropometric and psychiatric variables were found between two groups. Duration of exposure to sunlight was significantly higher in shift workers than in day time nurses. Engagement time in weekly physical exercise was around 11 times greater in day-time nurses compared with the shift work nurses (p = 0.001). Conclusions: This study showed that shift working is associated with some nutritional deficiencies and sedentary lifestyle among female nurses. Keywords: Shift Work; Dietary Intake; Depression; Nurse 1. Introduction Shift work generally is defined as “work hours that are scheduled outside of daylight” [1]. Nurses represent an important part of the hospital workforce and serve as role models when caring for patients [2]. According to a study, night working is considered as a kind of challenge among most nurses and can lead to several forms of physical and emotional disorders [3]. Shift duties were positively associated with abnormal eating habits among hospital nurses. Studies on the effects of shift work on eating habits and nutrients intake have previously been conducted on shift workers in different jobs [4,5]. Shift workers preferred to eat cold and fast foods and tend to have a nibble rather than a meal and have fewer meals over 24 hours [5]. These eating habit changes may in- crease or decrease intake of nutrients. Shift work and insufficient rest, as both are considered the main obstacle to healthy eating by respondents. Obesity has been shown to be more prevalent among shift workers and is associated with higher BMI, independently of age and work duration [5,6]. Several mechanisms explain weight gain in shift workers, such as higher calorie intake, changes in dietary habits such as eating fewer meals, more snacks and in the circadian distribution of food *Corresponding author.
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1240 intake and lower physical exercise [5]. Modifying exter- nal factors such as food and beverage intake patterns can help to reduce the destructive health effects of shift work [1]. Compared to the number of studies that evaluated intra-individual differences in nutrient intake by shift, there have been few studies that have examined the dif- ference in micronutrient intakes between shift workers and day time workers [5]. Findings highlight that night and early morning work- ing is associated with an adverse profile of cardiovascu- lar risk factors, which are partly explained by socioeco- nomic, other occupational factors, and health behaviors [7]. Moreover, shift work leads to change in lifestyle, for instance in relation to diet, smoking, alcohol and exercise, all being risk factors of ischemic heart disease [8]. We measured the high-sensitivity C-reactive protein (hs- CRP) which is being increasingly used as a marker for cardiac risk assessment and as a prognostic tool in heart disease [9]. Studies have demonstrated that daylight exposure may be effective on job burnout in nurses. Daylight at least 3 h a day was found to cause less stress and higher satis- faction at work in them [10]. A more relaxed and less tense mood has been reported after UV exposure compared with after non UV exposure [11]. In addition, decreased 25-hydroxyvitamin D is associated with Depression [12, 13]. Since the shift workers presumably have a poor sun exposure and a higher risk of vitamin D deficiency, we have also measured vitamin D status in nurses. To our best knowledge, there is no other study pub- lished concerning the effect of shift work on daily nutria- ents intake, anthropometric, biochemical and psychiatric indices of nurses. This study was aimed to compare these indices between shift work and daytime nurses in Uni- versity hospitals. 2. Material and Methods 2.1. Study Design and Sample In this analytical cross-sectional comparative study, healthy female clinical nurses with the mean age of 37 years old (range from of 23 years to 52 years old) em- ployed in educational University hospitals in Ahvaz city, Iran, participated in April to September 2009. Sample size was calculated from a formula 22 22 12 1111 2 nZ Z [14]. α is type 1 statistical error and β is type 2 statistical error. where n is the sample size, 12 Z is the 12 criti- cal value of the standard normal distribution which is found in the table of the standard normal distribution, δ is the known sample standard deviation, and μ is the sample mean. A three-stage sampling design was used. At each stage, simple random sampling was applied. In the first stage of sampling, the sampling unit was educational University hospitals (administrative units). A total of six hospitals were randomly selected from eight hospitals. In the second stage, on average, from a total of 1350 nurses, 20 volunteers were selected randomly from each sample hospital. A total of 120 volunteers were selected. A self- reported questionnaire assessed demographic characteris- tics, disease history (chronic and psychiatric), medication and supplement usage, pregnancy, smoking status and physical activity, were completed by volunteers. Subjects with the history of anemia, thyroid disorders, renal fail- ure, heart failure, diabetes mellitus, malabsorption, chro- nic and psychiatric disease, pregnancy, history of using medicines and other substances that could affect appetite were excluded from this study. 22 individuals who were not eligible were excluded. In the third stage, 98 volun- teers who met inclusion criteria were categorized in day time and shift workers groups (55 day time workers and 43 shift workers). Shift work was defined as work at times out of normal daylight hours 8:00 am to 2:00 pm or work during the weekends [15]. An additional question representing the shift work period was asked. In this study, nurses were divided into two groups: shift-work and day-time nurses. Participants completed a questionnaire included demo- graphic characteristics, physical activity during the week, duration of exposure to sunlight and use of tobacco over a three-month period. The study protocol was approved by the research eth- ics committee of Ahvaz Jondi-Shapour University of Me- dical Sciences (AJUMS). Written consents were obtained from all participants. 2.2. Assessment of Depression and Anxiety Depression status was assessed using the short 13-items version Beck Depression Inventory (BDI) and total scores (BDI score) were calculated. The BDI cut-off values ≥ 5 is defined as depression [16]. The BDI in- cluded questions to assess nine characteristic attitudes and symptoms listed in the DSM-IV criteria for a major depressive episode. Anxiety was evaluated by the Hospi- tal Anxiety and Depression Scale (HADS). HADS anxi- ety score between 8 - 10 and 11 - 21 were considered as mild and clinical anxiety, respectively [17]. 2.3. Dietary Assessment We assessed dietary intake using a 3-day 24-hour recall (including 2 working days and one off-day). Quantities were expressed in household measures. The inventories were double checked by a nutritionist, who verified the quantities and type of recalled foods. Daily dietary in- takes of energy and micronutrients (thiamin, riboflavin, niacin, pyridoxine, cobalamin, folate, ascorbate, toco- Open Access FNS
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1241 pherol, retinol, cholecalciferol, magnesium, zinc, iron and calcium) were analyzed using Iranian Food Proces- sor software, which has been developed by the Iranian Institute of Nutrition Research and Food Industry and comprises Iranian meals dataset. 2.4. Biochemical Measurements Fasting blood samples were obtained into potassium EDTA—containing tubes for determination of hemoglo- bin and hematocrite and tubes with no anticoagulants for serum hs-CRP and 25(OH)D3 levels evaluation. Deter- mination of Hemoglobin was done by Cyanmethemoglo- bin Method and Hematocrit by calculating the percentage of blood that is comprised of red blood cell (RBC) [18]. Serum hs-CRP level were measured by a particle-en- hanced turbidimetric immunoassay (quantitative diag- nosis kit for serum or plasma hs-CRP by immunotur- bidimetric method; Pars Azmoon, Tehran, Iran) with a limit of detection of 0.10 mg/l [19]. In this study, the Risk Evaluation Guidelines proposed by American Heart Association and Center for Disease Control and preven- tion (AHA/CDC) was used for categorizing hs-CRP lev- els [9]. Serum 25(OH)D level were measured during summer months using Electrochemiluminescent immunoassay [20] (Serum 25(OH)D kit; Roche, Britain). Lips [21] cut-offs were used for vitamin D deficiency evaluation which has categorized vitamin D deficiency based on increasing serum parathormon (PTH) levels and bone histology. In this method, values 25 - 50, 12.5 - 25 and < 12.5 nmol/l indicate mild (insufficiency), moderate and severe vitamin D deficiency, respectively. 2.5. Anthropometric Indices Anthropometric indices including weight and height in- dices were measured according to WHO (World health organization) standard protocol [22]. Body Mass Index (BMI), Body Fat Percent (% BF) and Fat to Weight Ratio (F/W) were assessed by bioelectric impedance methods (Omron, BF 302, Japan). 2.6. Statistical Analysis Independent sample t and chi-square tests were carried out for analyzing the quantitative and categorized vari- ables, respectively. p values less than 0.05 were regarded as significant. SPSS software version 13 was used for statistical analysis. 3. Results Table 1 shows the basic demographic characteristics of participations in both groups. Results show that there is no significant difference between shift and day-time Table 1. The basic demographic characteristics of partici- pations. Study groups Basic demographic characteristics Shift workers (N = 43) Day time workers (N = 55) p value Age (Year)a 33 ± 5.3 33.7 ± 3.3 0.963 Married statusb: Married74.4 (32) 73.6 (39) 0.865 Work experiencea 14.7 ± 5.1 15.8 ± 5.3 0.753 Overtime workb yes 44.2 (19) 32.7 (18) 0.112 aQuantitative data presented as mean ± SD. Independent sample t-test was conducted; bQualitative data presented as percent (number). Chi square test was conducted. worker nurses in terms of obtained demographic vari- ables. 3.1. Comparison of Nutrients Intakes Table 2 compares total energy and dietary micronutrient intakes between shift workers and day time workers. Lower dietary intakes of thiamin, riboflavin, niacin, folate, magnesium and iron were seen in shift workers compared with the day-time nurses. There were no sig- nificant differences in other micronutrient and energy intakes between these two groups. 3.2. Comparison of Biochemical Variables Table 3 shows values for biochemical variables in both shift work and day time nurses. No significant differ- ences were found in serum hs-CRP concentrations and percentage of risk measurements between shift work and daytime nurses. Serum 25(OH)D3 levels (nmol/l), vita- min D deficiency severity percent and hematologic indi- ces were not significantly different between two groups. 3.3. Comparison of Anthropometric, Lifestyle and Psychiatric Indices Table 4 indicates that there is no significant difference in anthropometric variables between two groups. Nor BDI neither HADS anxiety scores revealed any statistically significant differences between two groups. Duration of daily exposure to sunlight was significantly higher in shift workers (p = 0.013) compared with day time nurses. Duration of weekly physical exercise was more than eleven times higher in daytime nurses compared with the shift workers (p = 0.001). 4. Discussion According to our search, this was the first study carried out to assess the dietary intake, anthropometric, bio- chemical, lifestyle and psychiatric parameters in hospital hift working nurses. s Open Access FNS
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses Open Access FNS 1242 Table 2. The comparison of dietary nutrients intakes (Mean ± SD) between shift work and day-time nursesa. Study groups Dietary intakes Shift workers (N = 43) Day time workers (N = 55) p value Thiamin (mg/day) 1.2 ± 0.55 1.6 ± 1.2 0.01b Riboflavin (mg/day) 1.6 ± 0.72 2.1 ± 1.1 0.003b Niacin (mg/day) 16 ± 7.7 21.1 ± 13.1 0.01b Pyridoxine (mg/day) 1.6 ± 0.82 1.1 ± 1 0.71 Cobalamin (µg/day) 3.6 ± 2.3 5.2 ± 6 0.1 Folate (µg/day) 284.7 ± 157.4 386 ± 236.8 0.007b Ascorbate (mg/day) 117.6 ± 76 160.9 ± 204.7 0.18 Tocopherol (mg/day) 7.9 ± 4.6 12.8 ± 33.38 0.16 Retinol (µg/ day) 947.3 ± 663.9 1319.6 ± 906.3 0.11 Cholecalciferol (µg/day) 2.4 ± 4.4 2.42 ± 2.1 0.56 Magnesium (mg/day) 251.7 ± 76.3 317.4 ± 208.75 0.049b Zinc (mg/day) 8 ± 2.6 10.1 ± 4.7 0.09 Iron (mg/day) 11.8 ± 4.8 15.3 ± 9.5 0.03b Calcium (mg/day) 862.9 ± 313.5 940.7 ± 488.3 0.18 Energy intake (kcal/day) 1637.1 ± 542.6 1859.7 ± 539.8 0.43 cIndependent sample t-test was conducted; dLower dietary intakes of thiamin, riboflavin, niacin, folate, magnesium and iron were seen in shift works compared with the day-time nurses (p < 0.05). Table 3. The comparison of biochemical indices between shift work and day-time nur sesa. Study groups Biochemical variables Shift workers (N = 43) Day-time workers (N = 55) p value hs-CRP serum levels (mg/l)b 2.1 ± 2.3 2.21 ± 2.6 0.89 percent of risk measurementsc <1 mg/l (low risk) 46.5 (20) 42.3 (22) 0.72 1 - 3 mg/l (medium risk) 32.6 (14) 40.4 (21) >3 mg/l (high risk) 20.9 (9) 17.3 (9) Serum 25(OH)D3 levels (nmol/l)b 26.3 ± 20.5 27.4 ± 22.7 0.39 Vitamin D deficiency severityc Severe 39.5 (17) 39.6 (21) 0.88 Moderate 18.6 (8) 13.2 (7) Mild 30.2 (13) 35.8 (19) Normal 11.6 (5) 11.3 (6) Hemoglobin (g/l)b 11.5 ± 0.92 11.16 ± 1 0.97 Hematocrite (%)b 37.3 ± 4.3 36.1 ± 2.8 0.67 aThere was no significant difference between shift works and day-time nurses in biochemical indices; bQuantitative data presented as mean ± SD. Independent sample t-test was conducted to analyze data; cQualitative data presented as percent (number). Chi square test was conducted.
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1243 Table 4. The comparison of anthropometric, lifestyle and psychiatric indices between shift wo r k and day-time nurses. Study groups Indices Shift workers (N = 43) Day-time workers (N = 55) p value Anthropometric va riables Weight (kg) a 64 ± 11.8 66.6 ± 11.1 0.55 Body fat percent (% BF)a 29.8 ± 6.5 32.27 ± 6.3 0.84 Fat to Weight Ratio (F/W) 20.7 ± 8 23.1 ± 88.1 0.72 Body Mass Index (BMI) (kg/m2)a 25.4 ± 4.6 26.2 ± 4.4 0.95 Underweight 10.8 (4) 2.1 (1) 0.19 Normal weightb 51.4 (19) 46.8 (22) Over weightb 32.4 (12) 48.9 (23) Obesityb 5.4 (2) 2.1 (1) Life style variables Duration of weekly physical exercise (min/wk)ac 6.2 ± 21.7 68.7 ± 208.36 0.001d Duration of daily exposure to sunlight (min/day)ad 27.3 ± 33.1 16.39 ± 19.1 0.013e <30 (min/wk)b 61 (25) 71.2 (37) 0.23 30 - 60 (min/wk)b 19.5 (8) 21.2 (11) >60 (min/wk)b 19.5 (8) 7.7 (4) Psychiatric variables BDI scorea 4.79 ± 3.35 3.65 ± 3.64 0.32 Depression severityb Mild 37.2 (16) 21.8 (12) 0.17 Moderate 18.6 (8) 16.4 (9) Severe 0 (0) 0 (0) Normal 44.2 (19) 61.8 (34) HADS anxiety scorea 4.88 ± 3.24 3.82 ± 3.26 0.58 Anxiety severityb Normal 78.6 (33) 87.3 (48) 0.48 Moderate 14.3 (6) 7.3 (4) Clinical 7.1 (3) 5.5 (3) aQuantitative data presented as mean±SD. Independent sample t-test was conducted; bQualitative data presented as percent (number). Chi square test was con- ducted; cDuration of weekly physical exercise was more than eleven times higher in daytime nurses compared with the shift works; dDuration of daily exposure to sunlight was significantly higher in shift workers compared with daytime nurses. This study showed that shift working nurses had lower dietary intakes of some B vitamins (including thiamin, riboflavin, niacin and folate), two trace elements magne- sium and iron compared with daytime nurses. Higher duration of daily exposure to sunlight and lower duration of weekly physical exercise were also observed in the shift working group. There are few studies investigating the effect of shift working on dietary nutrients intake mostly focused on dietary habits. Some authors did not find any difference between shift workers and day time employees with re- spect to their total energy intake and dominant macronu- trient intakes [5]. Morikawa have reported that Japanese shift workers, particularly the late-shift workers, took smaller amounts of energy and nutrients than the daytime workers. Their inadequate nutrient intake was due to Open Access FNS
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1244 lower meal frequency and poor meal quality, both of which were conditioned by shift work. One study on the impact of work hours on eating habits and dietary intake of male industrial workers in day workers and two- and three-shift workers, showed no changes in intake of en- ergy, nutrients and coffee/tea between 8 hour morning and afternoon shifts, but a reduction in intake of nutrients and coffee/tea during 8 hours night shifts. On the whole, the energy-intake and the quality of food intake (per- centages of energy from macronutrients and density of micronutrients) were not affected by shift work [5]. In recent study on nurses in Hong Kong [4], shift du- ties were positively associated with abnormal eating be- havior among nurses working in hospitals. It has been reported that the total energy and nutrient intakes in- crease when individuals eat with others [23]. However shift workers have fewer opportunities to take meals with their families and friends. These effects appeared to be most prominent among workers with midnight shifts, who decreased their micronutrients intakes [5]. In Morikawa et al. study [5], the energy density value of thiamin, vitamin A and potassium in shift workers with mid night shifts were significantly lower than those with fixed day workers. Also, in this study, energy intake of dairy products (one of the good sources of riboflavin), meat (good sources of niacin, folate and iron) and vege- tables (rich in riboflavin, folate and magnesium) were the lowest in shift workers with mid night shift than fixed day workers. These results are comparable with our findings on nutrients intake of shift nurses. Several stud- ies agree that shift work affects the distribution of food intake and the selection of food items over 24 hour [24,25]. In this study, it is suggested that subjects had undesir- able food items selection of that can result in long term complications of micronutrients deficiencies. Such defi- ciencies can lead to impaired energy and macronutrients metabolism and synthesis, immune system dysfunction, anorexia, neurologic and cardiac signs, depression, con- fusion, sleeplessness, fatigue, general weakness, indiges- tion, osteoporosis and anomies [26]. There was no significant difference between shift and day-time nurses in terms of anthropometric variables. The effect of shift work on body weight has been inves- tigated in previous studies, several of which demon- strated a significant tendency to become overweight [6, 27,28]. In contrast, some studies failed to show such as- sociations [15,29]. According to studies, body fat distribution indices that are body fat percent (% BF) and Fat to Weight Ratio (F/W) variables in our study were not different between two shift workers. Weight gain in shift workers has been explained by several mechanisms, such as higher calorie intake, changes in dietary habits (such as eating fewer meals and more snacks) and the circadian distribution of food intake [5,6], as well as lower physical exercise and changes in sleeping habits [5]. In this study, there was no significant difference in to- tal energy intake between shift workers and day time workers whereas, in most of the other studies mentioned above, no clear-cut conclusion in this respect was pre- sented. According to our results, duration of daily exposure to sunlight was significantly higher in shift workers. Night shift workers can improve nocturnal alertness and day- time sleep by bright light exposure in their work place. These improvements can be maximized by attenuating morning light on the way home. Melatonin exerted mod- est benefit in improving the adaptation of workers to nightshift, and its effect was not enhanced by attenuation of morning sunlight exposure [30]. This result may, in part, explain the nonsignificant findings of psychiatric variables due to higher duration of exposure time to sun light. In our study, duration of weekly physical exercise was significantly lower in shift nurses compared with day time nurses. In an interventional study on shift workers, overall “disengagement” coping scores from the SSI (Standard Shift-work Index) were positively related to leisure-time energy expenditure [31]. In another study lack of exercise was the lifestyle factor which strongly contributed to chronic fatigue in shift working nurses [32]. Time spent in shift work was found to be predictors of energy expenditure. It is recommended that physical activity interventions for shift workers should be de- signed with careful consideration of individual domestic responsibilities and perceived disruption to sleep [32]. Concerning the rhythm desynchronization of transfering from shift work to day work, it has been suggested that while examining tolerance/in tolerance of a shift worker to rotational shift work, the levels of anxiety and mental health status of the individual under careful and thorough examination should be taken into consideration. In this study, there was no significant difference in serum hs- CRP concentrations and percentage of risk measurements between shift working and daytime workers. Serum 25(OH)D 3 levels (nmol/litr), vitamin D deficiency se- verity percent, hemoglobin and hematocrite concentra- tions were not different between two groups. It is sug- gested that these insignificant findings are resulted from limited numbers of subjects in each group. In this study, one of the Limitations was the descriptive comparative nature of its design. The other limitation was that labora- tory measurements of micronutrients were not used to assess nutritional status. There for, it is suggested that in future studies evaluation of micronutrients status by proper biochemical methods would confirm our results. In summary, shift duties were associated with unhealthy Open Access FNS
Dietary, Anthropometric, Biochemical and Psychiatric Indices in Shift Work Nurses 1245 lifestyle and nutritional imbalances accompanied by de- ficiencies of some B vitamin, magnesium and iron in- takes among hospital shift nurses. More health promo- tional initiatives and education should be targeted to- wards hospital nurses whose duties require frequent shifts to enhance healthier eating and lifestyle patterns. In this study, it is recommended that in every work place where shift work is mandatory, trained health care per- sonnel should monitor intermittently (preferably every alternate year) the state of the psychological and nutri- tional status of each shift nurse to minimize the occupa- tional health hazards and enhance their performance. 5. Conclusions As a conclusion, shift work is associated with unhealthy lifestyle and nutritional imbalances accompanied by de- ficiencies of some B vitamin, magnesium and iron in- takes among hospital clinical nurses. Moreover, engage- ment in planned physical activities was lower in shift nurses. More health promotional initiatives and education programs should be targeted towards nurses whose duties require frequent shifts in order to enhance their eating and lifestyle patterns. It is suggested that in every work place where shift work is mandatory, trained health care personnel should frequently monitor nutritional status of the staff to minimize the occupational health hazards and enhance their performance. 6. Acknowledgements This study was supported by Vice-Chancellor for Re- search Affairs, Jondi-Shapour University of Medical Sci- ences as a Grant for the Master of Science Thesis. We wish to thank Dr. Ahmad Zaree Javid (Ph.D) for his kind grammatical edition and Mr. Ahmad Hemadi (MSc.) for his kind laboratory assistance. REFERENCES [1] A. M. Berger and B. B. 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