| Literature DB >> 29338739 |
Sharea Ijaz1,2, Helen Thorley3,4, Katie Porter5, Clare Fleming6, Tim Jones3,4, Joanna Kesten3,4,7, Loubaba Mamluk3,4, Alison Richards3,4, Elsa M R Marques8, Jelena Savović3,4.
Abstract
BACKGROUND: Excessive drinking leads to poor absorption of nutrients and homeless problem-drinkers often have nutritionally inadequate diets. Depletion of nutrients such as vitamin B1 can lead to cognitive impairment, which can hinder efforts to reduce drinking or engage with services. This review aimed to assess effectiveness of interventions designed to prevent or treat malnutrition in homeless problem-drinkers.Entities:
Keywords: Alcohol; Alcoholism; Dependence; Homeless; Malnutrition; Micronutrients; Nutrition; Problem-drinking; Supplements; Systematic review; Thiamine
Mesh:
Year: 2018 PMID: 29338739 PMCID: PMC5771104 DOI: 10.1186/s12939-018-0722-3
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1PRISMA flow diagram of the review process
Characteristics of included studies
| Study | Location | Study design | Participants | Intervention | Comparison | Primary outcomes reporteda | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | Inclusion criteria | Recruitment | Homeless type (shelter/ rough sleeper) | Heavy drinkers | ||||||
| Educational information or support interventions | ||||||||||
| Rusness 1993 | USA | UBA | 7 | Homeless women at a shelter | Shelter | Shelter | NR | Biweekly classes focused on nutrition information, shopping and cooking skills | No control group | Nutritional status |
| Hinton 2001 | UK | UBA | 18 | Residents at the homeless shelter | A homeless shelter | Shelter dwellers | NR | a session on food hygiene and nutrition, a cooking competition | No control group | Nob |
| Derrickson 2003 | USA | RCT | 210 | Households at risk of homelessness who requested assistance between January to August 2001 | NR, likely from the database of the Salvation Army Family Services Office | At risk households | NR | 3-h nutrition workshop | 1-h food safety workshop. | Nutritional status |
| Heslin 2003 | USA | Comparative survey | 974 | Homeless women of reproductive age in Los Angeles County shelters and meal programs. | Shelters and meal programs | NR, likely all types | NR | case manager assigned to optimise uptake of WIC | Homeless women in WIC without case manager | No |
| Helfrich 2006 | USA | UBA | 32 | Self-identify a life skill need, be willing to engage in sessions each week, able to give informed consent and understand English | Shelters/ emergency shelters, transitional/ emergency housing program | Shelter | NR | Life-skills workshops & individual sessions | No control group | No |
| Johnson 2009 | USA | UBA | 50 | Long-term residents in the shelter (2 to 6 months), have at least one child residing with her in the shelter, and is enrolled in the shelter’s life skills program | Two homeless shelters | Shelter | NR | Nutrition education classes | No control group | Nutritional status |
| Bonevski 2012 | Australia | UBA | 6 | > 18 years, English speaking, receiving accommodation support from the participating homeless centre | A non-government homelessness outreach centre | NR, likely shelter | 58% | Telephone personal counselling on health | No control group | Nutritional status |
| Rustad 2013 | USA | UBA | 118 | English-speaking, low-income women living in the Minneapolis/ St Paul area | Soup kitchens, grocery stores, Laundromats, food shelves, and homeless shelters | NR, likely shelter or in transition | NR | 3 nutrition and health education sessions | No control group | Nutritional status |
| Barbour 2016 | Australia | UBA | 5 | Young person engaged with case management services in the community agency, with an interest in eating healthier and improving their cooking skills | Agencies helping homeless youth | Crisis accommodation, sleeping rough and couch-surfing | NR | Food literacy programme, participants engaged in a 3-h group interactive session over 8 weeks | Daily recommended values DRVs for males of age 19–50 years | Nutritional status |
| Fortification / Supplement Interventions | ||||||||||
| Darnton-Hill 1986 | Australia | Comparative Survey | 106 | Quasi random selection: the first three attendees of the homeless shelter/clinic; first person sitting left of the entrance plus two more at the day centre | Homeless shelter, day centre, and a clinic | NR, Likely shelter and rough sleepers | 70% | Men taking oral multivitamin | Not taking vitamins | Nutritional status |
| Drijver 1993 | Netherlands | UBA | 9 | Almost daily alcohol consumption for past 5 years; average use of 8 E (80 g) alcohol per day; age 20–65 years; no vitamin supplements in the past month; thiamine level < 110 nmol | Homeless houses and outpatient facilities for alcoholics | NR, likely all types | 100% (all drinking > 5 years, 80 g or more /day) | Single or weekly Intramuscular injection of combined 200 mg thiamine, 100 mg pyridoxine, 1000 ng cyanocobalamin | No control group | Nutritional status |
| Darmon 2009 | France | Repeat Survey | 130 | Men attending any of the 8 emergency shelters in Paris (3 night shelters and 5 food aid day centres) | Emergency shelters | NR, Likely shelter and rough sleepers | NR, likely majority | Fortified chocolate spread distribution | No control group | No |
| Food provision interventions | ||||||||||
| Garden 2013 | Russia | Case (historical) control | 142 | All homeless patients with tuberculosis referred to a St. Petersburg’s Tuberculosis dispensary | Tuberculosis dispensary | NR, likely all types | 45% (registered alcoholics) | Daily food packs including canned meat, bread, butter, egg and soup with cream, juice, tea and yoghurt (2000 kcal) | Homeless treated at the tuberculosis dispensary in previous years | No |
| Murakami 2013 | Brazil | UBA | 315 | Low income people (elderly, unemployed, homeless and itinerant) who have been to the restaurant ≥3 time per week | NR | NR, likely all types | NR | Low cost meals available at restaurants | No control group | Nutritional status |
| Villena 2013 | Spain | Survey | 50 | Clients coming to the meal provision centre | Community kitchen | NR, likely all types | NR | Evaluating five community kitchen menus | No control group | No |
| Pelham-Burn 2014 | UK | Survey | 16 | Clients coming to a meal provision centre | The lounge area / front desk of the meal provision centre | NR, likely all types | NR | Taste testing 12 lunch dishes. | No control group | No |
| Allen 2014 | Australia | UBA | 78 | Rooming house residents, homeless persons and others deemed eligible for entry to the project | Café Meals project database North Yarra Community Health | All types | 19% alcohol dependent | Providing clients a subsidy that entitles them to one meal per day at one of four local cafés | No control group | Nutritional status |
| Multicomponent interventions | ||||||||||
| Wiecha 1993 | USA | Comparative Survey | 77 | Homeless families without overt substance abuse or emotional problems with a child under 6 placed by the public welfare in temporary accommodation | Shelters and meal programs | Transitional homeless | NR | Kitchen facilities without food support (shelter) versus facilities & food support (shelter) | No kitchen facilities or food support (hotels) | Nutritional status |
| Tarasuk 1994 | Canada | UBA | 49 | Homeless adult attenders of an inner city drop in centre | Drop in centre for homeless adults | All types | NR | Three sequential interventions: 1) weekly cooking classes; 2)making the centres’ kitchen available for use to street-living; 3)communal cooking and dining | No control group | No |
| Hamm 1999 | USA | UBA | 31 | families in transition- who are temporarily living in shelters, transitional housing or with friends/family | Homeless shelters, soup kitchens, transitional housing, nurseries and day-care centres and family support centres | Transitional homeless | NR | Group nutrition education classes, health checks and food pack vouchers useable at specified stores | Non-homeless WIC participants | No |
| Stewart 2009 | Canada | UBA | 56 | Homeless or in transition homeless youth | An employment programme and drop-in centres | All types | 34% sought counselling for alcohol/ drugs | Weekly support groups (help with homework, course or job finding, recreational activity, meal, transport) | No control group | No |
| Richards 2011 | USA | Comparative Survey | 11,181 | Homeless pregnant women with complete data in the PRAMS database | PRAMS database | All types | NR | WIC homeless women | Non WIC homeless women | No |
| Kadoura 2014 | USA | UBA | 25 | Homeless families with at least one child at the shelter school. Speak English or Spanish. | Homeless shelter | Shelter | 60% parents reported drug and alcohol use substance abuse | 10 two-hour sessions, including physical activity, education/training, and a ‘healthy dinner’ | Non concurrent national data | Nutritional status |
| Grazioli 2015 | USA | UBA | 6 | Homeless drinkers, with a disability; homeless for at least 1 year or on 4 or more separate occasions in the past 3 years; aged 21–65 years | 2 community-based agencies | NR, likely all types | 100% | Safer-drinking strategies: treatment with extended-release naltrexone and harm-reduction counselling | No control group | Liver function |
| Kendzor 2016 | USA | RCT | 32 | ≥18 years of age; willing+ able to attend all visits; > 6th grade literacy level; able to walk; resident of the transitional shelter for ≤2 months. | One shelter | Shelter dweller | NR | Newsletters, fruit/veg provision & pedometers/ walking goals. | No Intervention: Paid assessment-only | Nutritional status |
Kcal kilo calories, N number of participants analysed, NR not reported, PRAMS Pregnancy Risk Assessment Monitoring System project for CDC, USA, RCT randomised controlled trial, UBA uncontrolled before after study, WIC The Special Supplemental Nutrition Program for Women, Infants, and Children in the USA. a Primary outcomes of the review that were reported in the study. b This means that the study did not measure or report any of the primary outcomes of this review
Fig. 2Risk of bias in included studies
Primary outcomes in included studies
| Study | Design/ duration | N | Outcome | Findings | Direction of effect / interpretation |
|---|---|---|---|---|---|
| Education, information or support | |||||
| Rusness 1993 | UBA/ 1 month | 7 | Number with Anaemia (%) | 3 (43%) | Unclear if this is due to nutrition education classes: no pre-test values; 1 month study |
| Number with Hypalbuminaemia (%) | 1 (14%) | ||||
| Eating right skill score- food frequency data (Mean change) | “One third higher than pre test scores” | Educating shelter living women in healthy eating improved nutritional intake | |||
| Numbers of women maintaining family targeted diet behaviour (%) | 6 (86%) | ||||
| Derrickson 2003 (RCT) | RCT/ 1 month | 210 | Mean (SD) intake of fruit servings per day in compared groups post intervention | Intervention = 6.6 (7.5) Control = 4.5 (4.8) | Nutrition workshop increased average fruit and vegetable intake |
| Mean (SD) intake of vegetable servings per day in compared groups post intervention | Intervention = 8.3 (7.8) Control = 6.3 (6.2) | ||||
| Johnson 2009 | UBA/ 10 months | 50 | Proportion who ate more fruit and vegetables compared to baseline | 19% | Nutrition education classes made more people eat fruit and vegetable and yogurt, and =avoid carbohydrate |
| Proportion who ate more yogurt compared to baseline | 3% | ||||
| Proportion who tried to limit carb intake compared to baseline | 22% | ||||
| Mean (SD) of fruit servings eaten daily | Pre-test = 0.83 (0.71) Post-test = 0.7 (0.65) | Nutrition education classes decreased mean fruit intake and increased carbohydrate intake | |||
| Mean (SD) servings of bread, cereal, pasta, and rice (eaten) daily | Pre-test = 1.44 (1.16) Post-test = 1.83 (1.29) | ||||
| Bonevski 2012 | UBA/ 1.5 months | 6 | Proportion who tried to eat more fruit N (%) | 4(66%) | Intervention increased attempts to eat fruit and vegetable |
| Proportion who tried to eat more vegetable N (%) | 6 (100%) | ||||
| Rustad 2013 | UBA/ 1.5 months | 118 | Mean (SD) of fruit serving intake | Pre-test = 1.3 (1.3) Post-test = 1.6 (1.4) | Nutrition and health education sessions increased fruit and vegetable intake |
| Mean (SD) of vegetable serving intake | Pre-test = 1.5 (1.3) Post-test = 1.9 (1.5) | ||||
| Barbour 2016 | UBA/ 6 months | 5 | Mean (range) fruit servings eaten/ day (compared to reference Daily recommended values) | Pre-test = 0.8 (0, 2.2) Post-test = 0.4 (0.0, 1.0) | Food literacy programme decreased mean fruit intake and mean diet quality score. |
| Mean (range) vegetable servings eaten/ day (compared to reference Daily recommended values) | Pre-test = 2.7 (0.0, 11.9) Post-test = 3.6 (0.0, 12.0) | ||||
| Intervention increased mean vegetable, iron, vitamin C, folate, calcium, and total energy intake | |||||
| Mean (range) intake of Folate (B9) mg/day | Pre-test = 256 (211, 272) Post-test = 309 (108, 551) | ||||
| Mean (range) intake of Calcium mg/day | Pre-test = 655 (365, 998) Post-test = 771 (423, 1367) | ||||
| Mean (range) intake of Iron mg/day | Pre-test = 9.9 (6.6, 14.4) Post-test = 10.4 (5.3, 15.9) | ||||
| Mean (range) vitamin C intake mg/24 h | Pre-test = 67 (10, 159) Post-test = 72 (0, 143) | ||||
| Mean (range) diet quality score (max 100) | Pre-test = 45 (38, 61) Post-test = 41 (27, 60) | ||||
| Mean (range) daily energy intake kJ | Pre-test = 7981 (2574, 11,384) Post-test = 10,244 (6321, 15,152) | ||||
| Supplement provision | |||||
| Darnton-Hill 1986 | Comparative survey/ 24 months | 106 | % deficient in vitamin B1 | NV gp = 45 V gp = 25 | Oral vitamin supplements reduced the number of people with vitamin deficiency |
| % deficient in vitamin B6 | NV gp = 63 V gp = 21 | ||||
| % deficient in vitamin C | NV gp = 29 V gp = 10 | ||||
| % deficient in vitamin B12 | NV gp = 0 V gp = 0 | ||||
| % deficient in folate (B9) | NV gp = 80 V gp = 49 | ||||
| % deficient in iron | NV gp = 12 V gp = 15 | ||||
| % deficient in zinc | NV gp = 25 Vgp = 25 | ||||
| Mean (SD) levels of TPP% | NV gp = 15.3 (10.5) V gp = 10.5 (9.9) | Oral vitamin supplements don’t always improve group mean levels of vitamins | |||
| Mean (SD) levels of vitamin B6 P5P% | NV gp = 57 (26.6) V gp = 36.2(31.4) | ||||
| Mean (SD) levels of vitamin C μmol/L | NV gp = 34.9 (16.2) V gp = 72.6 (35.2) | ||||
| Mean (SD) levels of serum Folate ng/ml | NV gp = 3.6 (4.0) V gp = 5.2 (4.0) | ||||
| Mean (SD) levels of vitamin B 12 pmol/L | NV gp = 341 (203) V gp = 433 (223) | ||||
| Drijver 1993 | UBA/ NR | 9 | Mean Tk activity increase (units) | Single injection: Before = 9.6; day 14 = 11.8 | Multivitamin injection keeps vitamin levels up for 14 days. |
| Weekly injection: Before = 10.2; day7 = 12; day21 = 11.2; day35 = 12 | |||||
| Mean TDP effect (%) | Single injection: Before = 18; day 14 = 9 | ||||
| Weekly injection: Before = 17; day7 = 3; day21 = 5; day 35 = 5 | |||||
| Food provision | |||||
| Murakami 2013 | UBA/ NR | 315 | % of Clients eating below recommended energy intake | 79.0 | The hot meals do not fulfil energy needs for most participants, and even though provide a high fibre diet, still contribute to higher than recommended fat and saturate intake in many participants. |
| Mean (SD) 24 h Energy intake kcal | 948.55 (108.75) | ||||
| Proportion with above average fibre intake | 62.9% | ||||
| Proportion with saturated fat above the recommended levels | 22% | ||||
| Proportion with cholesterol intake above the recommended levels | 41% | ||||
| Allen 2014 | UBA/ 12 months | 78 | Proportion eating more frequently and gaining weight | Numbers not reported: “many clients eat more frequently, and experience positive weight gain” | A subsidy to have one meal per day n may increase food intake |
| Multicomponent interventions | |||||
| Kendzor 2016 | RCT/ 1 month | 32 | Mean (cups) vegetable and fruit intake | Intervention = 3.56; controls =2; MD = 1.5 cups more in intervention at 4 week follow up | Newsletters, fruit/vegetables & pedometers with walking goals are able to increase fruit and vegetable intake |
| Wiecha 1993 | Comparative survey/ 9 months | 77 | Mothers’ Mean (mg) Vitamin B6 intake per 1000 kcal | Kitchen facilities with or without food support (shelter group) = 0.68; no facilities or food(hotels group) = 0.55 | Provision of full kitchen facilities with or without added food support can increase intake of important micronutrients but not total protein or energy intake for families |
| Mothers’ Mean (mg) Vitamin C intake per 1000 kcal | Kitchen facilities with or without food support (shelter group) = 61; no facilities or food(hotels) group =41 | ||||
| Mothers’ Mean (g) protein intake per 1000 kcal | Kitchen facilities with or without food support (shelter group) = 35; no facilities or food(hotels) group =33 | ||||
| Mothers’ Mean Energy (kcal) intake per 1000 kcal | Kitchen facilities with or without food support (shelter group) = 1980; no facilities or food(hotels) group =2016 | ||||
| Kadoura 2014 | UBA/ 1 month | 25 | Mean change in frequency of fruit and vegetable intake (Cohen’s D) | 0.56 | Family physical activity, education/training, and a ‘healthy dinner ‘increased both amount and frequency of fruit and vegetable intake |
| Mean change in amount of fruit and vegetable intake (Cohen’s D) | 0.87 | ||||
| Grazioli 2015 | UBA/ 3 months | 6 | AST levels median (IQR) units | Baseline = 64.5 (34.5, 95.5), follow up = 60 (29.25, 90.5), Wilcoxon signed rank test = −0.77 | Detoxification with naltrexone and harm-reduction counselling with a focus on better diet habits led to no change in liver function tests post intervention |
| ALT levels median (IQR) units | Baseline = 40.5 (30.25, 51.5), follow up = 32 (21.5, 56.75), Wilcoxon signed rank test = − 0.7 | ||||
ASTaspartate transaminase, ALT alanine transaminase, B1 thiamine, B2 riboflavin, B3 niacin, B5 pantothenic acid,B6 pyridoxine, B7 biotin, B9 folic acid, B12 cobalamins, C ascorbic acid, g gram, gp group, kcal kilocalories, kJ kilojoules, L litre, MD mean difference, mg milligram, mmol millimoles, nmol nanomoles, μmol micromoles, N number of participants, NR not reported, NV no vitamin, pmol picomoles, P5P pyridoxal 5 phosphate, RCT randomised controlled trial, SD standard deviation, Tk transketolase, TDP thiamine diphosphate, TPP thiamine pyrophosphate, UBA uncontrolled before and after study, V vitamin
Cost and resource use in included studies
| Study | Intervention | Outcome Measure and Findings (USD)a |
|---|---|---|
| Darnton-Hill 1986 | Vitamin C, B complex, and thiamine regimen | Cost / day AUD (USD): 0.168 (0.12) |
| B complex capsule | Cost / day AUD (USD): 0.085 (0.06) | |
| Thiamine tablet 50 mg | Cost / day AUD (USD): 0.035 (0.03) | |
| Vitamin C tablet 500 mg | Cost / day AUD (USD): 0.048 (0.03) | |
| Darmon 2009 | Vitamin fortified chocolate spread plus street food | Cost of one RDA diet EUR(USD): 3.64 (5.07) |
| Food aid meal along with street food | Cost of one RDA diet EUR(USD): 4.78 (6.6) | |
| Street food alone | Cost of one RDA diet EUR(USD): 5.6 (7.7) | |
| Garden 2013 | 2000 kcal day-food pack | Average cost USD: 1.3–1.5 |
| Murakami 2013 | Breakfast (400 kcal) | Cost of one meal R$ (USD): 0.5 (0.15) |
| Lunch (1200 kcal) | Cost of one meal R$ (USD): 1.0 (0.31) | |
| Tarasuk 1994 | Communal cooking and dining in shelter kitchen | Staff needed to co-ordinate: 1 person |
aUSD values (In brackets) when the reported cost values were in other currencies calculated using historical exchange rates for the respective publication year’s January